About the Role

The Turbo team sits at the intersection of efficient inference (algorithms, architectures, engines) and post‑training / RL systems. We build and operate the systems behind Together’s API, including high‑performance inference and RL/post‑training engines that can run at production scale.

Our mandate is to push the frontier of efficient inference and RL‑driven training: making models dramatically faster and cheaper to run, while improving their capabilities through RL‑based post‑training (e.g., GRPO‑style objectives). This work lives at the interface of algorithms and systems: asynchronous RL, rollout collection, scheduling, and batching all interact with engine design, creating many knobs to tune across the RL algorithm, training loop, and inference stack. Much of the job is modifying production inference systems—for example, SGLang‑ or vLLM‑style serving stacks and speculative decoding systems such as ATLAS—grounded in a strong understanding of post‑training and inference theory, rather than purely theoretical algorithm design.

You’ll work across the stack—from RL algorithms and training engines to kernels and serving systems—to build and improve frontier models via RL pipelines. People on this team are often spiky: some are more RL‑first, some are more systems‑first. Depth in one of these areas plus appetite to collaborate across (and grow toward more full‑stack ownership over time) is ideal.

Requirements

We don’t expect anyone to check every box below. People on this team typically have deep expertise in one or more areas and enough breadth (or interest) to work effectively across the stack. The closer you are to full‑stack (inference + post‑training/RL + systems), the stronger the fit—but being spiky in one area and eager to grow is absolutely okay.

You might be a good fit if you:

• Have strong expertise in at least one of the following, and are excited to collaborate across (and grow into) the others:
• Systems‑first profile: Large‑scale inference systems (e.g., SGLang, vLLM, FasterTransformer, TensorRT, custom engines, or similar), GPU performance, distributed serving.
• RL‑first profile: RL / post‑training for LLMs or large models (e.g., GRPO, RLHF/RLAIF, DPO‑like methods, reward modeling), and using these to train or fine‑tune real models.
• Model architecture design for Transformers or other large neural nets.
• Distributed systems / high‑performance computing for ML.
• Are comfortable working from algorithms to engines:
• Strong coding ability in Python
• Experience profiling and optimizing performance across GPU, networking, and memory layers.
• Able to take a new sampling method, scheduler, or RL update and turn it into a production‑grade implementation in the engine and/or training stack.
• Have a solid research foundation in your area(s) of depth:
• Track record of impactful work in ML systems, RL, or large‑scale model training (papers, open‑source projects, or production systems).
• Can read new RL / post‑training papers, understand their implications on the stack, and design minimal, correct changes in the right layer (training engine vs. inference engine vs. data / API).
• Operate well as a full‑stack problem solver:
• You naturally ask: “Where in the stack is this really bottlenecked?”
• You enjoy collaborating with infra, research, and product teams, and you care about both scientific quality and user‑visible wins.

Minimum qualifications

• 3+ years of experience working on ML systems, large‑scale model training, inference, or adjacent areas (or equivalent experience via research / open source).
• Advanced degree in Computer Science, EE, or a related field, or equivalent practical experience.
• Demonstrated experience owning complex technical projects end‑to‑end.

If you’re excited about the role and strong in some of these areas, we encourage you to apply even if you don’t meet every single requirement.

Responsibilities

• Advance inference efficiency end‑to‑end
• Design and prototype algorithms, architectures, and scheduling strategies for low‑latency, high‑throughput inference.
• Implement and maintain changes in high‑performance inference engines (e.g., SGLang‑ or vLLM‑style systems and Together’s inference stack), including kernel backends, speculative decoding (e.g., ATLAS), quantization, etc.
• Profile and optimize performance across GPU, networking, and memory layers to improve latency, throughput, and cost.
• Unify inference with RL / post‑training
• Design and operate RL and post‑training pipelines (e.g., RLHF, RLAIF, GRPO, DPO‑style methods, reward modeling) where 90+% of the cost is inference, jointly optimizing algorithms and systems.
• Make RL and post‑training workloads more efficient with inference‑aware training loops—for example, async RL rollouts, speculative decoding, and other techniques that make large‑scale rollout collection and evaluation cheaper.
• Use these pipelines to train, evaluate, and iterate on frontier models on top of our inference stack.
• Co‑design algorithms and infrastructure so that objectives, rollout collection, and evaluation are tightly coupled to efficient inference, and quickly identify bottlenecks across the training engine, inference engine, data pipeline, and user‑facing layers.
• Run ablations and scale‑up experiments to understand trade‑offs between model quality, latency, throughput, and cost, and feed these insights back into model, RL, and system design.
• Own critical systems at production scale
• Profile, debug, and optimize inference and post‑training services under real production workloads.
• Drive roadmap items that require real engine modification—changing kernels, memory layouts, scheduling logic, and APIs as needed.
• Establish metrics, benchmarks, and experimentation frameworks to validate improvements rigorously.
• Provide technical leadership (Staff level)
• Set technical direction for cross‑team efforts at the intersection of inference, RL, and post‑training.
• Mentor other engineers and researchers on full‑stack ML systems work and performance engineering.

About Together AI

Together AI is a research-driven artificial intelligence company. We believe open and transparent AI systems will drive innovation and create the best outcomes for society, and together we are on a mission to significantly lower the cost of modern AI systems by co-designing software, hardware, algorithms, and models. We have contributed to leading open-source research, models, and datasets to advance the frontier of AI, and our team has been behind technological advancement such as FlashAttention, Hyena, FlexGen, and RedPajama. We invite you to join a passionate group of researchers in our journey in building the next generation AI infrastructure.

Compensation

We offer competitive compensation, startup equity, health insurance and other competitive benefits. The US base salary range for this full-time position is: $200,000 - $280,000 + equity + benefits. Our salary ranges are determined by location, level and role. Individual compensation will be determined by experience, skills, and job-related knowledge.

Equal Opportunity

Together AI is an Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more.

Please see our privacy policy at https://www.together.ai/privacy  

About the Role

As the Partnerships Manager for our Model Ecosystem, you will be the primary architect of Together AI’s model library. This is a high-impact, cross-functional role focused on bringing the world’s leading proprietary and open-source models onto the Together platform. You will navigate an ever-evolving landscape to negotiate non-standard, creative deals that provide developers with the best possible building blocks for AI applications.

You are a "deal-maker" who thrives in ambiguity. You will sit at the intersection of Product, Finance, and Marketing, ensuring that our model roadmap is not only technically superior but commercially viable and market-facing.

Responsibilities

• Negotiate & Manage Partnerships: Lead end-to-end deal cycles with model builders across all modalities (text, image, video, etc.). You will handle everything from initial outreach to negotiating complex, creative commercial terms for both proprietary and open-source models.
• Curate the Model Library: Act as the internal champion for our "Model Library," identifying which frontier and specialized models we should bring to Together AI to maintain our competitive edge.
• Product & Engineering Alignment: Work closely with the Product team to define "bring-up" requirements and ensure new models are integrated seamlessly into our inference and fine-tuning stacks.
• Commercial Strategy: Partner with Finance to construct deal structures that balance aggressive growth with sustainable unit economics, often involving non-standard incentive structures.
• Go-to-Market & Co-Selling: Collaborate with Partner Marketing to announce new integrations and create momentum. You will also engage in co-selling efforts, helping our Sales team understand how to leverage specific partner models to win enterprise deals.

Requirements

• Creative Deal Maker: You have a track record of constructing partnership agreements that don’t follow a standard template. You can navigate complex IP, revenue-share, and exclusivity discussions with ease.
• High EQ & Collaborative: You are partner-oriented. You know how to build trust quickly and find the "win-win" in a competitive environment.
• Technical Curiosity: While you don’t need to be an ML researcher, you should have the technical depth to discuss model architecture, context windows, and inference requirements with product teams.
• Relevant Experience: 5-7+ years in Business Development or Strategic Partnerships. We value experience from high-growth API, cloud infrastructure, or developer platform companies (think Stripe, MongoDB, or Twilio) where you managed complex ecosystems.
• AI-Native Mindset: You work at pace with a relentless sense of urgency. You prefer "done and iterating" over "perfect and stagnant."

Preferred Qualifications

• Direct experience working with LLM labs or open-source AI communities.
• Experience in "co-selling" motions where partnerships directly drove revenue.

About Together AI

Together AI is a research-driven artificial intelligence company. We believe open and transparent AI systems will drive innovation and create the best outcomes for society, and together we are on a mission to significantly lower the cost of modern AI systems by co-designing software, hardware, algorithms, and models. We have contributed to leading open-source research, models, and datasets to advance the frontier of AI, and our team has been behind technological advancement such as FlashAttention, Hyena, FlexGen, and RedPajama. We invite you to join a passionate group of researchers in our journey in building the next generation AI infrastructure.

Compensation

We offer competitive compensation, startup equity, health insurance and other competitive benefits. The US base salary range for this full-time position is: $270K - 300K OTE + equity + benefits. Our salary ranges are determined by location, level and role. Individual compensation will be determined by experience, skills, and job-related knowledge.

Equal Opportunity

Together AI is an Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more.

Please see our privacy policy at https://www.together.ai/privacy.  

About the Role

You'll be Snorkel's primary technical voice in the open-source and research communities. The work spans three audiences: frontier AI research teams (post-training, RL environments, evals and benchmarks), enterprise ML and applied AI teams building specialized models on proprietary expertise, and the broader data-centric AI community.

You'll partner closely with our research, forward deployed research, and product teams to translate the methodology behind Snorkel's work into world-class technical content, open-source contributions, conference presence, and a thriving community of data-centric AI practitioners.

Success looks like: a strong Snorkel open-source presence, a steady cadence of high-signal technical writing and research artifacts, marquee presence at the conferences that matter (NeurIPS, ICML, ICLR, AI Engineer World's Fair), and an engaged community of researchers and practitioners who view Snorkel as the trusted authority on data development for modern AI.

Responsibilities

• Own Snorkel's external technical voice. Write methodology posts, technical deep-dives, and research-grade content on data development for frontier models. 
• Lead Snorkel's open-source presence. Define the GTM approach, ship code, review PRs, recruit contributors, and keep the libraries credible and current. Build OSS that demonstrates Snorkel's methodology in practice, including reproducible evals and benchmark artifacts.
• Advance the conversation on AI evaluation and benchmarking. Publish original work on how to measure agentic AI systems. Domain-specific evals, agent evals, LLM-as-judge calibration, contamination and saturation, and the connection between evals and post-training data.
• Drive conference and research community presence. Land talks, papers, and workshops at NeurIPS, ICML, ICLR, AI Engineer World's Fair, and the right practitioner venues. Build relationships with academic labs and AI research teams.
• Partner with the research team. Translate what's learned in research collaborations into externally shareable methodology, case studies, and tooling.
• Set the bar for technical credibility. Design evals and benchmarks, prototype RL environments, and write code worth using. Your authority comes from doing the work, not just talking about it.

Preferred Qualifications

• Experience. 6+ years in applied ML research, AI engineering, developer/research advocacy, or a research-intensive technical role with significant public output. Prior DevRel/advocate experience welcome but not required.
• Deep technical fluency in modern AI. Post-training techniques (RLHF, DPO, RLAIF), evaluation methodologies, RL environment design, training data pipelines, synthetic data generation, and at least one applied domain (coding agents, reasoning, multimodal, agents).
• Hands-on experience with AI evaluation and benchmarks. You've built and run real evals: public benchmarks (MMLU, GPQA, SWE-bench, HELM, BIG-bench, Arena-style head-to-heads), domain-specific custom evals, and LLM-as-judge pipelines with proper calibration. 
• You build with AI, not just about AI. A power user of frontier coding agents (Claude Code, Cursor, Codex, and the like) in your day-to-day workflow, and you've built non-trivial agentic systems yourself – multi-step, tool-using, with real evals and an opinion on what breaks.
• A real public body of work. Talks, papers, blog posts, podcasts, and/or OSS contributions you can point to. Quality and signal matter more than volume.
• Customer- and researcher-facing presence. Comfortable in a room with frontier-lab research leads or a F500 ML team; can read the room and hold technical credibility on either side.
• Self-directed and comfortable with ambiguity. You ship without being asked, set your own quality bar, and enjoy moving at the pace of frontier AI.

Bonus: Advanced degree or sustained research output in ML/AI; prior experience at an AI lab, OSS-first AI company, or a research-driven technical org; conference program-committee or organizing experience; published or maintained a public benchmark; relationships in the post-training, evals, or RL-environments communities.

About the Role

Reddit is a community of communities. It’s built on shared interests, passion, and trust and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 97M+ daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit redditinc.com.

Reddit is hiring a Staff Product Security Engineer to make the secure path the easiest path for engineers and AI agents. You'll lead the design and delivery of secure frameworks, paved paths, and workflow-native controls that eliminate recurring vulnerability classes before they reach production. As AI-assisted development accelerates code velocity faster than manual review can absorb, this role exists to close that gap structurally — through guardrails, automation, and platform-level prevention that scale with the engineering org.

What You'll Do

• Build and evolve secure frameworks, guardrails, and library-level controls that make common vulnerability classes harder to introduce.
• Design security controls for AI-assisted development — including reusable rule packs and skills that shape how engineers and coding agents generate, review, and ship code.
• Embed security into the workflows engineers already use.
• Drive product security reviews for new launches and major architectural changes.
• Identify and eliminate systemic security debt.
• Shape strategy, influence architecture, and drive execution across teams.

What We're Looking For

• 8+ years of experience in software engineering, product security, or application security, with at least 2 years operating at a staff level of scope and impact.
• Proficiency in one or more languages (Go, Python, JS/TS).
• Experience designing, building, and operating production-quality systems and developer-facing platforms.
• Experience building secure frameworks, libraries, or guardrails that improve security across many teams at once.
• Demonstrated ability to integrate security into developer workflows: CI/CD, code review, release processes, and internal platforms.
• Clear communicator who can explain technical detail and business impact to both engineers and leadership.
• Comfortable in fast-moving environments where AI-assisted development is reshaping how software is built and reviewed.
• Experience with vulnerability discovery and remediation pipelines, including bug bounty or researcher-reported findings.
• Track record of mentoring engineers and raising the technical bar across a security or platform engineering org.

Preferred Qualifications

• Experience securing AI/LLM systems, agentic workflows, or AI-assisted development tooling.
• Familiarity with authentication/authorization systems, cloud-native platforms, and how to secure them.

#LI-Remote

About Us:

Grow Therapy is on a mission to serve as the trusted partner for therapists growing their practice, and patients accessing high-quality care. Powered by technology, we are a three-sided marketplace that empowers providers, augments insurance payors, and serves patients. Following the mass increase in depression and anxiety, the need for accessibility is more important than ever. To make our vision for mental healthcare a reality, we’re building a team of entrepreneurs and mission-driven go-getters. Since launching in February 2021, we’ve empowered more than ten thousand therapists and hundreds of thousands of clients across the country and insurance landscape. We’ve raised more than $178mm of funding from Sequoia Capital, Transformation Capital, TCV, SignalFire, and others.

About the Role

At Grow, we are building products that support people’s mental health and overall wellbeing. We believe meaningful research is critical to creating experiences that are not only usable, but genuinely helpful and human-centered.

We’re looking for a mid-level User Experience Researcher who is comfortable working across qualitative and quantitative methods and thrives in ambiguous, fast-moving environments. You’ll partner closely with Product, Design, and Business teams to uncover insights that shape strategy, inform design, and improve user outcomes.

This role is ideal for someone who is passionate about understanding people, curious about the intersection of technology and mental health, and motivated to advocate for users in impactful ways.

What You’ll Do

• Design and execute end-to-end research using a mix of methods (e.g., interviews, usability testing, surveys, focus groups, field studies)
• Develop and prioritize research plans in partnership with product and business teams
• Conduct studies that uncover both user behaviors and attitudes
• Synthesize findings into clear, actionable insights that inform product strategy and design decisions
• Communicate research outcomes through compelling storytelling, presentations, and deliverables
• Collaborate cross-functionally with Product, Design, Content, Engineering, and Marketing to guide decision-making
• Advocate for users by bringing their needs and perspectives into product development
• Navigate ambiguity and manage multiple projects in a fast-paced environment
• Promote inclusive, ethical research practices, especially within the mental health space

What We’re Looking For

• 5–8+ years of experience in UX research, product research, or a related field
• Mixed method researcher with strong experience in qualitative and quantitative research methods
• Proven track record of conducting research that has influenced product, design, or growth decisions
• Ability to move between evaluative (tactical) and generative (strategic) research
• Experience working cross-functionally in product-driven environments
• Strong communication and storytelling skills to influence diverse stakeholders

You’ll Be a Great Fit If You

• Thrive in collaborative, high-growth environments and enjoy helping teams make better decisions
• Are deeply curious and care about people and their experiences, and motivated to solve complex user problems, especially in mental health, healthcare, or multi-sided platforms
• Are comfortable navigating ambiguity and shaping direction in fast-changing environments
• Balance research rigor with pragmatism to drive efficient, impactful outcomes
• Bring a strong point of view while remaining adaptable and grounded in evidence
• Are motivated by impact and want your work to make a meaningful difference

Why Grow

• Work on products that directly impact mental health and wellbeing
• Collaborate with a team that values diverse perspectives and inclusive research
• Help shape how research drives decisions in a growing organization
• Contribute to building more human, ethical, and supportive technology
  
  

  Employment Type: Full Time
  Base Compensation: The base compensation range for this position is $182,000–$227,000 USD
  This is a hybrid role with the expectation to work onsite from our NYC, San Francisco, or Seattle hub location three days per week (Tuesday, Wednesday, and Thursday) and travel 2–3 times per year (e.g., company and department offsites).
  The base compensation for this role will vary depending on several factors, including relevant experience, qualifications, and the candidate’s working location.

The Role:   

We are looking to hire a Quantitative Researcher to join our Research & Data Analytics team. In this role you will contribute to generating original research and building internal research & analytics capabilities. As a valued member of the team, you will also employ our exclusive private markets data, along with macro trends and emerging themes in the space to generate unique content and insights for our clients, prospective clients, internal partners, and the public. This is an impactful role that will help build and shape Forge’s Research & Analytics functions.  

Location: This role requires a hybrid work schedule, with 2-3 days per week in our Soho, NY office to foster collaboration and teamwork.  

Responsibilities:  

• Utilize strong programming and data science skills to conduct unique research in support of our Data, Products and Marketing efforts  
• Work closely with team members and across Forge to identify, measure and communicate the trends and forces moving and shaping the venture-backed / pre-IPO equity market  
• Assist in the development of private market indices. Support index rebalancing and answer client queries related to index management and methodologies  
• Collaborate in the research and development of new models, data products, metrics, and insights  
• Maintain and enhance internal models and databases to ensure comprehensive coverage for our data universe  
• Aid data-driven content development and value proposition creation, collaborating across Markets, Marketing, Comms, and other Forge teams to prepare and publish thought-provoking, relevant, and timely research reports for clients and stakeholders  
• Assist with inbound and outbound ad-hoc data requests and analysis for content and communications  
• Partner closely with our product, sales, and marketing functions by driving content development and value proposition creation  
• Help identify new unique data points to support research and enhance our research and product offerings  

Qualifications:   

• 6-10 years of relevant work experience (e.g., research, data science, data analytics) in the public or private equities markets. 
• Undergraduate and Masters degrees in finance, economics, statistics, mathematics, engineering or a related field. 
• Excellent communication and presentation skills: able to translate and communicate quantitative information effectively to non-technical audience.  
• Strong internal partnership skills: ability to proactively suggest content ideas and collaborate with peers to execute, as well as respond to requests/ideas from partners and shape Forge’s response  
• Exceptional attention to detail  
• Strong interest in private investing and venture-backed companies Highly competent programmer: Python, AI/ML & Advanced SQL highly desirable. 
• Physical requirements: operate a computer for 8 hours per day; give and receive detailed information through verbal and written communication 

Preferred Qualifications: 

• Professional writing experience 
• Index management knowledge 
• Experience building agentic workflows 

For residents of NY, NY the annual salary range for this role is $170,000 - $220,000 + annual bonus. Final offers may vary from the amount listed based on geography, candidate experience and expertise, annual bonus, and other factors.

The Role:   

We are looking to hire a Quantitative Researcher to join our Research & Data Analytics team. In this role you will contribute to generating original research and building internal research & analytics capabilities. As a valued member of the team, you will also employ our exclusive private markets data, along with macro trends and emerging themes in the space to generate unique content and insights for our clients, prospective clients, internal partners, and the public. This is an impactful role that will help build and shape Forge’s Research & Analytics functions.  

Location: This role requires a hybrid work schedule, with 2-3 days per week in our San Francisco, CA office to foster collaboration and teamwork.  

Responsibilities:  

• Utilize strong programming and data science skills to conduct unique research in support of our Data, Products and Marketing efforts  
• Work closely with team members and across Forge to identify, measure and communicate the trends and forces moving and shaping the venture-backed / pre-IPO equity market  
• Assist in the development of private market indices. Support index rebalancing and answer client queries related to index management and methodologies  
• Collaborate in the research and development of new models, data products, metrics, and insights  
• Maintain and enhance internal models and databases to ensure comprehensive coverage for our data universe  
• Aid data-driven content development and value proposition creation, collaborating across Markets, Marketing, Comms, and other Forge teams to prepare and publish thought-provoking, relevant, and timely research reports for clients and stakeholders  
• Assist with inbound and outbound ad-hoc data requests and analysis for content and communications  
• Partner closely with our product, sales, and marketing functions by driving content development and value proposition creation  
• Help identify new unique data points to support research and enhance our research and product offerings  

Qualifications:   

• 6-10 years of relevant work experience (e.g., research, data science, data analytics) in the public or private equities markets. 
• Undergraduate and Masters degrees in finance, economics, statistics, mathematics, engineering or a related field. 
• Excellent communication and presentation skills: able to translate and communicate quantitative information effectively to non-technical audience.  
• Strong internal partnership skills: ability to proactively suggest content ideas and collaborate with peers to execute, as well as respond to requests/ideas from partners and shape Forge’s response  
• Exceptional attention to detail  
• Strong interest in private investing and venture-backed companies Highly competent programmer: Python, AI/ML & Advanced SQL highly desirable. 
• Physical requirements: operate a computer for 8 hours per day; give and receive detailed information through verbal and written communication 

Preferred Qualifications: 

• Professional writing experience 
• Index management knowledge 
• Experience building agentic workflows 

For residents of San Francisco/Bay Area, CA the annual salary range for this role is $170,000 - $220,000 + annual bonus. Final offers may vary from the amount listed based on geography, candidate experience and expertise, annual bonus, and other factors.

What You’ll Do:

The Customer Experience (CX) Organization at CoreWeave is dedicated to ensuring every client running AI workloads at scale has a seamless, reliable, and high-performance experience. This team supports the infrastructure that powers the AI revolution—working across data centers, hardware systems, and customer workloads to maintain the integrity of our cloud platform. The CX organization aligns closely with the internal and customer engineering teams, offering valuable insights from the field and having the chance to contribute to the CoreWeave product roadmap and development. 

About the role:

As a Solutions Architect at CoreWeave, you will play a vital and dynamic role. You will have the opportunity to demonstrate thought leadership and engage hands-on throughout our customers' entire lifecycle. From establishing their Kubernetes environment to developing proofs of concept, onboarding, and optimizing workloads, you will lead innovation at every turn. If you're driven by innovation, thrilled by the possibilities of what specialized compute can enable, and eager to be part of a team that's shaping the future, then CoreWeave is the place for you. Join us and let's embark on this adventure together!

In this role, you will:

• Serve as the primary technical point of contact for customers, establishing strong technical relationships and ensuring their success with CoreWeave's cloud infrastructure offerings, focusing on AI/ML workloads within high-performance compute (HPC) environments
• Collaborate closely with customers to understand their unique business needs and create, prototype, and deploy tailored solutions that align with their requirements.
• Lead proof of concept initiatives to showcase the value and viability of CoreWeave's solutions within specific environments.
• Drive technical leadership and direction during customer meetings, presentations, and workshops, addressing any technical queries or concerns that arise.
• Act as a virtual member of CoreWeave's Kubernetes product and engineering teams, identifying opportunities for product enhancement and collaborating with engineers to implement your suggestions.
• Offer valuable insights on product features, functionality, and performance, contributing regularly to discussions about product strategy and architecture.
• Conduct periodic technical reviews and assessments of customer workloads, pinpointing opportunities for workload optimization and suggesting suitable solutions.
• Stay informed of the latest developments and trends in Kubernetes, cloud computing and infrastructure, sharing your thought leadership with customers and internal stakeholders.
• Lead the prototyping and initiation of research and development efforts for emerging products and solutions, delivering prototypes and key insights for internal consumption.
• Represent CoreWeave at conferences and industry events, with occasional travel as required.

Who You Are:

• B.S. in Computer Science or a related technical discipline, or equivalent experience
• 7+ years of proven experience as a Solutions Architect, engineer, researcher, or technical account manager in cloud infrastructure, focusing on building distributed systems or HPC/cloud services, with an expertise focused on AI/ML inference
• Fluency in cloud computing concepts, architecture, and technologies with hands-on experience in designing and implementing cloud solutions
• Proven track record with building customer relationships, communicating clearly and the ability to break down complex technical concepts to both technical and non-technical audiences
• Deep expertise  with NVIDIA GPUs typically used in AI/ML applications and associated technologies such as Infiniband and NVIDIA Collective Communications Library (NCCL) 
• Demonstrated experience with running large scale Artificial Intelligence/Machine Learning (AI/ML) training and inference workloads on technologies such as Slurm and Kubernetes. You understand integration points between cloud solutions and enterprise IT 

Preferred:

• Code contributions to open-source inference frameworks
• Experience with scripting and automation related to AI/ML workloads
• Experience with building solutions across multi-cloud environments
• Client or customer-facing publications/talks on latency, optimization, or advanced model-server architectures

Wondering if you’re a good fit? We believe in investing in our people, and value candidates who can bring their own diversified experiences to our teams – even if you aren't a 100% skill or experience match. Here are a few qualities we’ve found compatible with our team. If some of this describes you, we’d love to talk. 

• You love to help solve challenging technical problems
• You’re curious about the latest and greatest technologies in the AI space
• You’re an expert in managing conflict and achieving mutually beneficial technical outcomes

Why CoreWeave?

At CoreWeave, we work hard, have fun, and move fast!  We’re in an exciting stage of hyper-growth that you will not want to miss out on. We’re not afraid of a little chaos, and we’re constantly learning. Our team cares deeply about how we build our product and how we work together, which is represented through our core values: 

• Be Curious at Your Core
• Act Like an Owner
• Empower Employees
• Deliver Best-in-Class Client Experiences
• Achieve More Together

We support and encourage an entrepreneurial outlook and independent thinking. We foster an environment that encourages collaboration and provides the opportunity to develop innovative solutions to complex problems. As we get set for take off, the growth opportunities within the organization are constantly expanding. You will be surrounded by some of the best talent in the industry, who will want to learn from you, too. Come join us!  

The base salary range for this role is $165,000 to $220,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility).

The Mission

As CoreWeave continues to solidify its position as the Essential Cloud for AI, we are seeking a visionary VP of Product, Research Training Infrastructure. This executive leader will own the product strategy and engineering execution for the services that power the most ambitious AI research labs in the world. You will bridge the gap between "the metal" and the researcher, delivering a seamless, high-performance environment where frontier models are born.

The Role: Architect of the AI Factory

You will lead the product strategy of our Research Training Stack, focusing on the specialized orchestration, evaluation, and iteration tools required for massive-scale pre-training and post-training. This is a mission-critical role at the intersection of high-performance computing (HPC) and cloud-native agility.

Core Responsibilities

• Frontier Orchestration: Oversee the evolution of SUNK (Slurm on Kubernetes) to provide researchers with deterministic, bare-metal performance through a cloud-native interface.
• Holistic Training Services: Beyond Slurm, drive the development of next-generation orchestrators and automated training-based evaluation frameworks that ensure model quality throughout the lifecycle.
• Post-Training Excellence: Build the infrastructure required for sophisticated Reinforcement Learning (RL) and RLHF pipelines, enabling labs to refine foundation models with maximum efficiency.
• Customer Advocacy: Act as the primary technical partner for lead researchers at global AI labs, translating their "future-state" requirements into actionable product roadmaps.

Requirements: Deep Research & Infrastructure Mastery

• Proven Leadership: 15+ years of experience in engineering leadership, with at least 5+ years managing large-scale infrastructure at a top-tier research lab or an AI-native cloud provider.
• Domain Expertise: Deep, hands-on knowledge of Slurm, Kubernetes, and the specific networking requirements (InfiniBand/RDMA) for distributed training clusters.
• Research Mindset: You likely come from a background supporting frontier model research (pre-training and post-training) and understand the "pain points" of a research scientist.
• Scaling Experience: A track record of delivering mission-critical services on multi-thousand GPU clusters (H100/Blackwell/Rubin architectures).
• Strategic Vision: Ability to define "what’s next" in the AI stack, from automated RL loops to specialized sandbox environments.

Why CoreWeave?

In 2026, CoreWeave is the foundation of the largest infrastructure buildout in human history. We are building AI Factories, not just data centers.

• Silicon-Up Innovation: Work directly with the latest NVIDIA architectures.
• Impact: You will be the architect of the environment that enables the next new discovery.

Velocity: We move at the speed of the researchers we support, bypassing legacy cloud bottlenecks to deliver raw power.

The base salary range for this role is $233,000 to $341,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility). 

About the UX research team

UX research at Anthropic is a small team with outsized leverage. We work across products used by millions of people—and on interactions that don't have established conventions yet.

We inform critical decisions through rigorous research, with stakeholders who eagerly incorporate findings into their work. Research has a seat at the table for product strategy, and we partner closely with design, product, and engineering. We combine qualitative and quantitative methods to understand user needs in a space that's evolving faster than anyone can track.

We move fast, favor impact over polish, and increasingly build our own tools—often with AI doing the heavy lifting—to do research at the speed this environment demands.

About this role

This is a senior individual-contributor role. You'll own research for a complex, fast-moving product area where the surface is expanding quickly and the most important user questions haven't been articulated yet, let alone answered.

You won't work from a fixed research roadmap. You'll prioritize constantly—making clear, well-informed bets about what to learn next, executing on them fast, and pivoting the moment the picture changes. Our product teams are deeply technical and move on instinct; your job is to make that instinct better-calibrated without slowing it down.

Roles here are fluid. On any given week you might be the researcher, the analyst, the one framing the next product bet, or the one building a prototype because that's the fastest way to find out.

Where this role lands depends on team needs and your strengths—we'll figure that out together.

Responsibilities

• Set the research agenda for a product area where the strategic questions are still fuzzy. Define what we need to learn, in what order, and why—then go learn it. Don't wait to be asked
• Design and run mixed-methods research at whatever fidelity the moment calls for. Some of it will be careful, foundational work the team references for a year. Some of it will be a finding you ship the same day the question came up
• Keep product teams close to users in a rigorous way—building the channels, cadence, and evidence base that make user reality hard to ignore
• Get hands-on with product data. Pull your own samples, build your own dashboards, instrument what's missing
• Prototype when prototyping is the fastest path to an answer—a research tool, a survey pipeline, a scrappy version of a feature to put in front of users
• Deeply leverage AI in how you work—using Claude to make yourself dramatically more efficient at analysis, synthesis, tooling, and everything in between
• Use what you study. Dogfood our products hard enough to develop your own informed opinions, and bring that texture into your research
• Anticipate where the product is heading before anyone asks. Show up with the user understanding the team is about to need
• Turn what you learn into recommendations confident enough to redirect a roadmap—including recommending we kill something that isn't working
• Build durable understanding, not just findings. The goal is that PMs, designers, and engineers internalize the user mental model well enough to make good calls when you're not in the room
• Develop new research methods when the existing playbook doesn't fit—particularly methods that use AI to do things that weren't possible before

Qualifications

• Industry UX research experience, including ownership of research strategy for a product or product area
• Track record of research that shifted product direction at the strategy level, not just the feature level
• Deep mixed-methods expertise—qualitative and quantitative
• Enough data fluency to use Claude to work directly with our data warehouse—pulling your own samples, writing your own queries, running your own analyses
• Demonstrated technical range: you've built research tooling, prototyped, scripted analyses, or otherwise shown you can keep up with very technical teams without translation overhead
• Advanced, hands-on use of AI in your own research workflow—you're already taking full advantage of its capabilities to enhance how you work
• Experience embedding with engineering-led product teams that ship fast, and earning influence in that environment
• Excellent storytelling, calibrated to audience. You can discuss a finding with an exec as effectively as with an engineer

HR Business Partner

Thinking Machines Lab's mission is to empower humanity through advancing collaborative general intelligence. We're building a future where everyone has access to the knowledge and tools to make AI work for their unique needs and goals. 

We are a small team of scientists, engineers, and builders who've created some of the most widely used AI products including ChatGPT, Character.ai, and PyTorch. As we scale our team, some of the hardest challenges we face are about empowering and aligning our people and helping our managers make crucial decisions under uncertainty.

About the Role

The new role of HR Business Partner will combine two tasks: leadership coaching, and people systems design. The two require different skillsets, but a shared vision for managing talent.

You will coach managers at Thinking Machines Lab to be more effective leaders. You will provide strategic support on researcher and engineer performance, team dynamics, and personal growth. You will also build the people infrastructure that will scale this support as the company grows: performance and feedback systems, compensation structures, and career frameworks.

What You’ll Do

• Coach managers by observing how they lead, identifying strengths and blind spots, and working on continuous improvement.
• Advise leadership on organizational decisions: team structure, succession planning, and strategic people choices that shape how we work.
• Design compensation structures that let us compete for the best machine learning talent in the world while staying aligned on values and principles.
• Create career/leveling frameworks that work for a research lab where career advancement often doesn’t mean managing people, contributions such as mentorship and taste are harder to measure, and where senior researchers expect to grow and learn even after a decade in the role.
• Build feedback and evaluation processes that help people improve, not just get measured.

Skills and Qualifications

Minimum qualifications:

• 5+ years experience working as a people leader or HR business partner in a high-growth technical environment.
• Fluency with employment law and best practices in North America.
• Proven track record of developing HR practices and supporting a diverse set of talent.

Preferred qualifications:

We encourage you to apply even if you don’t meet all preferred qualifications.

• 10+ years experience as a people leader or HR business partner.
• Experience in setting up novel systems that scale in a fast-growing company.
• Coaching experience that showcases a skill set in providing confidential support, motivating improvement, and conflict resolution.
• Track record of supporting a high trust and low ego environment for high caliber talent with strong retention and growth.

Logistics

• Location: This role is based in San Francisco, California. 
• Compensation: Depending on background, skills and experience, the expected annual salary range for this position is $190,000 - $300,000 USD.
• Visa sponsorship: We sponsor visas. While we can't guarantee success for every candidate or role, if you're the right fit, we're committed to working through the visa process together.
• Benefits: Thinking Machines offers generous health, dental, and vision benefits, unlimited PTO, paid parental leave, and relocation support as needed.
• As set forth in Thinking Machines' Equal Employment Opportunity policy, we do not discriminate on the basis of any protected group status under any applicable law.

The Role: 

• We are seeking candidates with quantitative portfolio management experience and intimate knowledge of systematic strategies

Job Responsibilities (include, but not limited to the following)

• Develop systematic strategies that use statistical signals associated with various market inefficiencies applied to a broad variety of asset classes including global equities and/or ETFs, futures, currencies and options
• Independently lead, manage and grow quantitative investment portfolio (portfolio will have a separately identifiable track record)
• Autonomy to build your own research pipeline and grow your team

• 2+ years’ experience in developing systematic strategies including a verifiable track record with positive PnL and Sharpe
• Strong programming skills in mainstream quant programming languages, such as Python and C++
   

The Independent Portfolio Manager Opportunity:

• Transparent and formula-based compensation
• Meaningful allocation with growth potential based on performance and scalability
• Access to a deep and broad menu of datasets supported by a dedicated data team
• Cross-asset execution led by a multi-regional trading team
• Opportunity for select engagement with the CIO Office in support of your research and strategy development

• Core Benefits: Fully paid medical and dental insurance for employees and dependents, flexible spending account, 401k, fully paid parental leave, generous PTO (paid time off) that consists of:
  • twenty vacation days that are pro-rated based on the employee’s start date, at an accrual of 1.67 days per month,
  • three personal days, and
  • ten sick days.
• Perks: Employee discounts for gym memberships, wellness activities, healthy snacks, casual dress code
• Training: learning and development courses, speakers, team-building off-site
• Employee resource groups

Pay Transparency:

WorldQuant is a total compensation organization where you will be eligible for a base salary, discretionary performance bonus, and benefits.

To provide greater transparency to candidates, we share base pay ranges for all US-based job postings regardless of state.  We set standard base pay ranges for all roles based on job function and level, benchmarked against similar stage organizations.  When finalizing an offer, we will take into consideration an individual’s experience level and the qualifications they bring to the role to formulate a competitive total compensation package.

The Base Pay Range For This Position Is $150,000 – $200,000 USD.

At WorldQuant, we are committed to providing candidates with all necessary information in compliance with pay transparency laws.  If you believe any required details are missing from this job posting, please notify us at WQHR_US@WorldQuant.com, and we will address your concerns promptly.

#LI-JG1

The Role: 

• We are seeking candidates with quantitative portfolio management experience and intimate knowledge of systematic strategies

Job Responsibilities (include, but not limited to the following)

• Develop systematic strategies that use statistical signals associated with various market inefficiencies applied to a broad variety of asset classes including global equities and/or ETFs, futures, currencies and options
• Lead, manage and grow quantitative investment portfolio
• Contribute to broader firm research and strategic initiatives

• 2+ years’ experience in developing systematic strategies including a verifiable track record with positive PnL and Sharpe
• Strong programming skills in mainstream quant programming languages, such as Python and C++

The Book Portfolio Manager Opportunity:

• Transparent and formula-based compensation
• Opportunities to contribute to other research and strategy initiatives
• Access to WorldQuant’s alpha pool, portfolio management tools and innovative technology platforms
• Access to a deep and broad menu of datasets supported by a dedicated data team
• Cross-asset execution led by a multi-regional trading team
• Participation in internal research conferences and forums
• Autonomy to build your own strategies along with several opportunities for collaboration and mentorship
• Access to AI and Machine Learning opportunities applied to financial markets

• Core Benefits: Fully paid medical and dental insurance for employees and dependents, flexible spending account, 401k, fully paid parental leave, generous PTO (paid time off) that consists of:
  • twenty vacation days that are pro-rated based on the employee’s start date, at an accrual of 1.67 days per month,
  • three personal days, and
  • ten sick days.
• Perks: Employee discounts for gym memberships, wellness activities, healthy snacks, casual dress code
• Training: learning and development courses, speakers, team-building off-site
• Employee resource groups

Pay Transparency:

WorldQuant is a total compensation organization where you will be eligible for a base salary, discretionary performance bonus, and benefits.

To provide greater transparency to candidates, we share base pay ranges for all US-based job postings regardless of state.  We set standard base pay ranges for all roles based on job function and level, benchmarked against similar stage organizations.  When finalizing an offer, we will take into consideration an individual’s experience level and the qualifications they bring to the role to formulate a competitive total compensation package.

The Base Pay Range For This Position Is $150,000 – $200,000 USD.

At WorldQuant, we are committed to providing candidates with all necessary information in compliance with pay transparency laws.  If you believe any required details are missing from this job posting, please notify us at WQHR_US@WorldQuant.com, and we will address your concerns promptly.

#LI-GO1
#LI-JG1

Position

Manifold's AI team is actively training protein foundation models on our proprietary experimental datasets. Our generative antibody design model, mBER, has already demonstrated controllable de novo binder design across multiple million-scale screening campaigns, and the team is now scaling foundation model capabilities to push well beyond current performance. We are looking for an AI/ML Scientist to join this effort. You will work alongside our existing model training team to accelerate the development of foundation models fine-tuned on Manifold's data, bringing additional depth in pre-training methodology, architecture development, and large-scale training. Your work will directly improve mBER's design capabilities and unlock new modeling paradigms for the broader team. You'll own foundation model projects end-to-end, from architecture selection and training infrastructure to evaluation against real experimental outcomes, while contributing to the team's shared research agenda.

This is an on-site role and can be based in either Boston, Massachusetts or San Francisco, California. Please only apply if you reside in these cities or are open to relocate. 

Responsibilities

• Advance the team's ongoing foundation model training efforts—pretraining, fine-tuning, and evaluating folding, docking, language, and generative design models on Manifold's proprietary experimental data
• Bring depth in training methodology, architecture selection, and optimization to complement the existing team's expertise
• Develop and scale training pipelines for distributed, multi-GPU and multi-node training runs
• Integrate foundation model outputs into mBER to improve binder design success rates and enable new design capabilities
• Design and execute ML experiments with clear hypotheses, rigorous evaluation frameworks, and systematic analysis
• Establish best practices for mixed-precision training, gradient checkpointing, and computational efficiency at scale
• Produce clear documentation and analysis supporting architecture and training decisions

Required Qualifications

• Demonstrated experience pretraining and/or fine-tuning protein foundation models (folding, docking, language models, or generative design) with published or otherwise demonstrable results
• Strong familiarity with AlphaFold architecture and training methodology
• 2+ years of hands-on experience with PyTorch and/or JAX for deep learning
• Experience with large-scale model training: distributed training, multi-GPU/multi-node setups, mixed precision, gradient checkpointing
• Solid understanding of deep learning architectures (transformers, attention mechanisms, diffusion/flow matching) and optimization techniques
• Experience working with protein structure data (PDB, mmCIF) and/or protein sequence datasets
• Strong statistical analysis and experimental design skills
• Proficiency in Python scientific computing stack (NumPy, Pandas, scikit-learn)
• Self-directed researcher who can balance guidance with independence
• Excellent written and verbal communication skills for cross-functional collaboration

Preferred Qualifications

• Experience with protein generative design methods (e.g., RFdiffusion, ProteinMPNN, flow matching approaches)
• Experience with protein language models (e.g., ESM family)
• Published research in computational biology, protein design, or structural biology
• Experience training on proprietary or domain-specific biological datasets
• Familiarity with Ray for distributed computing
• Experience with Kubernetes (EKS) and cloud computing platforms (AWS)
• Knowledge of protein engineering, directed evolution, or structural biology wet lab techniques
• Experience working with agentic AI coding tools for fast, parallelized execution of modeling experiments
• Previous biotech/pharma industry experience

This Role Might Be Perfect For You If:

• You have deep experience training protein foundation models and want to apply that expertise to some of the richest proprietary experimental datasets in the field
• You're excited about pushing beyond public model performance by leveraging unique, large-scale in vivo screening data
• You thrive in high-ownership roles where you can drive research direction while collaborating with a tight-knit, world-class team
• You want your models to directly impact real drug discovery programs

If you're excited to train the next generation of protein foundation models on uniquely powerful experimental data, please reach out to careers@manifold.bio.

Base Salary Range: $140,000-225,000

This reflects the typical offer range for this role, based on experience, role scope, and internal equity. Final compensation decisions are made using a consistent leveling framework and consider the candidate’s experience, interview performance, and expected impact.

This role is eligible for:

• Annual performance-based target bonus
• Stock options
• Comprehensive medical, dental, and vision coverage
• 401(k) plan
• Flexible paid time off and holidays
• Perks including on-site gym, onsite lunch, and commuter support

Our compensation ranges are reviewed annually to ensure alignment with market trends and internal equity.

About the Role

Snorkel AI is hiring Forward Deployed Researchers who will partner with frontier AI labs on their most challenging data problems. This is a high-impact, customer-facing role that combines deep technical and research credibility with strong presales instincts. You'll partner with customer research teams to design complex data and environments that improve frontier model performance, serving as a thought partner throughout the engagement.

You'll work at the critical intersection of research, technical strategy, and customer partnership. This includes scoping training data needs, designing RL environments and tasks, developing evaluation frameworks, probing model behavior and failure modes, and translating customer research objectives into actionable technical plans.

Main Responsibilities

• Partner with frontier AI research labs to design datasets and environments that improve model performance
• Lead technical conversations with customer researchers to understand model capabilities, failure modes, data requirements, and success criteria
• Probe model behavior through systematic evaluation to uncover weaknesses and identify high-impact data interventions
• Design evaluation frameworks, calibration processes, and quality rubrics that establish measurable project success metrics
• Develop technical specifications for data projects that balance research rigor with operational feasibility
• Serve as thought partner to customer research teams throughout the sales cycle, building trust and credibility
• Stay current on frontier AI research, RL environment design, post-training techniques, and evaluation methodologies

Preferred Qualifications

• Strong expertise in frontier AI concepts including LLMs, training data pipelines, evaluation methodologies, post-training techniques (RLHF, DPO, RLAIF), and domain areas such as coding agents, reasoning, multimodal models, or RL environments
• Experience in applied ML research, data science, or research-intensive technical roles
• Customer-facing or collaborative research experience, or demonstrated aptitude for client engagement
• Proficiency in Python and familiarity with ML frameworks and LLM APIs
• Excellent communication skills, ability to deliver technical presentations and explain complex concepts to diverse audiences
• Familiarity with data curation workflows, synthetic data generation, LLM-as-a-Judge, or evaluation framework design
• Ability to work in a fast-moving environment, comfortable with ambiguity and rapid iteration
• B.S. in Computer Science, Machine Learning, or related field with 4+ years of experience in AI/ML research or technical roles; advanced degree preferred

Compensation

The salary range is $180,000 - $300,000 USD.

Be Your Best at Snorkel

Joining Snorkel AI means becoming part of a company that has market proven solutions, robust funding, and is scaling rapidly, offering a unique combination of stability and the excitement of high growth. As a member of our team, you'll have meaningful opportunities to shape priorities and initiatives, influence key strategic decisions, and directly impact our ongoing success. Whether you're looking to deepen your technical expertise, explore leadership opportunities, or learn new skills across multiple functions, you're fully supported in building your career in an environment designed for growth, learning, and shared success.

Snorkel AI is proud to be an Equal Employment Opportunity employer and is committed to building a team that represents a variety of backgrounds, perspectives, and skills. Snorkel AI embraces diversity and provides equal employment opportunities to all employees and applicants for employment. Snorkel AI prohibits discrimination and harassment of any type on the basis of race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local law. All employment is decided on the basis of qualifications, performance, merit, and business need.

We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

The Role

At SoFi, we are architecting the infrastructure that bridges institutional banking with the decentralized economy. We are looking for a Senior Frontend Engineer to join our Crypto Product and Invest teams to build the visual and interactive layer for two of our most ambitious initiatives: the SoFi Exchange Network (SEN) and our industry-first SoFiUSD stablecoin.

Beyond core infrastructure, we are redefining how members grow their wealth through algorithmic trading and AI. You will build the interfaces that millions of members use to build and invest in automated trading strategies — bringing "quant-grade" tools to the everyday investor.

What You’ll Do

• Build the Command Center: Develop high-performance web applications that allow institutional clients to manage 24/7/365 settlement, real-time payments, and stablecoin minting/burning.
• Craft Member Experiences: Build the retail-facing UI for SoFiUSD, ensuring that complex blockchain transactions feel seamless, secure, and transparent for every SoFi member.
• Architect for Scale: Design and implement scalable, reusable frontend components using React, ensuring a consistent design language across our commercial and crypto suites.
• Collaborate Across Functions: Work deeply with Product and Design to translate complex financial data—like real-time treasury positions and on-chain settlement—into intuitive, responsive user flows.
• Mentor & Lead: Drive the technical bar for the frontend team through rigorous code reviews, documentation, and mentoring junior engineers.
• Own the Lifecycle: Lead large features from ideation to deployment, breaking down complex requirements into executable tasks while maintaining a high bar for test-driven development.

What You’ll Need

• Experience: 5+ years of professional web programming experience, with a heavy emphasis on React.
• Education: Bachelor’s degree in Computer Science or a related technical field.
• Interface Expertise: Proven ability to build modern, highly-responsive customer-facing components that handle complex state management and data visualization.
• API Savvy: Deep experience designing and consuming backend APIs in a microservices environment.
• Engineering Rigor: A strong foundation in test-driven development (TDD) and modern CI/CD practices.
• Ownership & Drive: A sense of responsibility for the end-to-end user experience. You focus on shipping impactful features and solving user problems over chasing "perfect" architecture.
• Collaboration: Experience in agile environments, refining designs in Git, and working through cross-functional feedback to reduce ambiguity.

Nice to Haves

• Fintech & Banking: Experience building dashboards for financial trading, treasury management, or commercial banking.
• Web3 & Crypto: Familiarity with blockchain fundamentals, wallets (browser extensions/Connectors), and the nuances of displaying digital asset data.
• Data Visualization: Experience with libraries like D3.js or Recharts to visualize high-frequency transaction data and liquidity flows.
• Security Literacy: Understanding of frontend security best practices, particularly regarding financial transactions and sensitive asset management.
• Stablecoin Knowledge: Experience with or interest in stablecoin infrastructure (e.g., minting/burning flows, on-chain vs. off-chain balances).

Join Our Team: Join our dynamic team at SoFi as a Staff Researcher, playing a pivotal role in shaping product strategy and driving user-centered decision-making across the business. At SoFi, we're dedicated to helping our members achieve financial independence and reach their goals. We aim to be at the center of our members’ financial lives, offering a suite of products and services including credit score monitoring, banking, investing, credit cards, personal loans, student loans, home loans, and more. 

What You’ll Do:

• Contribute to and often lead significant cross-functional workstreams within and occasionally beyond their business unit.
• Lead broad research projects with complex user journeys, utilizing data-driven and principle-based solutions to generate impactful insights.
• Guide project direction, delivering complex research projects with significant business impact by influencing the setting of objectives, strategy, milestones, and execution.
• Influence product priorities and strategy through compelling research insights. Be able to pivot their point of view when presented with new information.
• Apply advanced expertise in a range of qualitative and quantitative research skills, while maintaining proficiency across all core research methodologies. Influence the craft of others and contribute to elevating overall work quality within the team.
• Create high-impact artifacts (e.g., reports, presentations, workshops) that drive alignment and innovation, influencing fast but high-quality decision-making across directly relevant teams. 
• Drive consistency and quality across interconnected research projects. Create and hit milestones with minimal guidance and estimate project timelines well.
• Develop into a cross-functional leader, building relationships with stakeholders across the function and business unit, including through participation in cross-functional forums. Navigate stakeholder tradeoffs to guide research decisions that impact other teams.
• Contributes actively to the research team through knowledge sharing (tools, methodologies), thoughtful collaboration, and positive engagement.

What you’ll need:

• Bachelor’s Degree in Human-Computer Interaction, Psychology, Sociology, Anthropology, or a related field (Graduate Degree preferred).
• Eight (8)+ years of experience conducting user research in a product development setting, with a demonstrated track record of influencing product strategy and leading complex projects.
• Advanced expertise in a variety of qualitative and quantitative research methods.
• Exceptional analytical and problem-solving skills, with a proven ability to synthesize complex information from diverse sources and identify critical, strategic insights.
• Outstanding communication and presentation skills, with the ability to articulate research findings clearly, persuasively, and strategically to a variety of audiences.
• Demonstrated ability to work autonomously, lead projects, and collaborate effectively in a fast-paced environment.
• A strong understanding of the tradeoff between rigor and speed in research, and the ability to apply this understanding to project planning and execution.
• Strong project and program management skills, with the ability to manage multiple complex and strategic projects simultaneously.
• A strong drive for continuous learning and self-improvement in advanced research skills and product knowledge.

About the Role

Anthropic's Human Data Platform team builds systems designed to collect data that improves our models. This includes the infrastructure to simulate real-world environments and tasks, novel interfaces for data vendors to use, and the pipelines that enable researchers to gather high-quality data at scale. As Claude's real-world usage evolves, so do our data needs — and our tooling has to keep pace. You'll work alongside an engineering team that's quickly prototyping and shipping, help make smart bets about where to focus, and ensure we're investing in tooling that scales. You'll work across research teams, data ops, and external vendors, translating what you learn into clear direction on what to build next.

Responsibilities

• Own the product direction for our human data tooling, with clear prioritization across labeling interfaces, infrastructure investments, data quality, and operational visibility
• Partner with engineering to scope and ship quickly, staying close to the work in a fast-moving prototyping environment
• Develop a deep understanding of research and training approaches to identify where tooling investments will have the highest leverage
• Identify patterns across one-off requests and push toward reusable infrastructure that compounds over time
• Sit in on crowd worker and vendor sessions to systematically understand pain points
• Define and track outcome-based KPIs: time-to-launch for new data collection projects, end-to-end data quality scores, and measurable impact on model evaluation scores

You May Be a Good Fit If You

• Believe that advanced AI systems could have a transformative effect on the world and are interested in helping make sure that transformation goes well
• Are drawn to ambiguous, high-stakes environments where you’ll play a big role in defining the product strategy
• Shipped products where they had to deeply understand technical constraints, not just translate requirements
• Experience working directly with research teams, ideally in AI/ML contexts
• Are equally comfortable talking to crowdworkers about their workflow and to research teams about data quality methodology
• Are a quick study—this team sits at the intersection of a large number of different complex technical systems that you'll need to understand (at a high level) to be effective
• Have an interest in how humans interact with AI systems and how to design experiences that elicit high-quality data

Strong Candidates May Also Have

• Experience building data collection tools, annotation platforms, or human-in-the-loop pipelines
• Experience working with researchers who are internal users/customers 
• Good instincts and an eye for intuitive user experiences, particularly those involving complex UI interactions or annotation workflows
• Strong project management skills: prioritization, communicating across team/org boundaries

The ideal candidate has the following virtues/values:

• Intellectual curiosity without ego: Comfortable not knowing things and asking questions to learn
• Autonomous learning: Able to independently figure out how systems work and develop expertise quickly
• Researcher EQ: Deep understanding of how researchers think and what motivates them
• Product creativity: Ability to see novel product opportunities emerging from research capabilities
• Founder mentality: Track record of doing whatever it takes to ship highly technical products

About the Role

At Headway, we’re building the largest national network of therapists who accept insurance — and making mental healthcare radically more accessible in the process. Our ability to serve patients starts with providers. As Staff Researcher for Provider Growth, you’ll lead research to inform the product vision, strategy, and execution for how we attract, onboard, and activate providers on Headway. 

In this role, you will be a strategic partner, utilizing a mixed-methods approach to uncover critical insights about our Providers. You will conduct research to inform business, product, and marketing strategies, helping us identify and unlock significant growth and differentiated product opportunities. You’ll be responsible for foundational insights and developing a nuanced understanding of diverse provider segments—practice starters vs. veterans, therapists vs. prescribers, solo vs. group practices—each with different needs, painpoints, and behaviors. You’ll share insights and make recommendations about when to personalize and when to unify, helping the team build solutions that flex to serve unique segment needs while maintaining a coherent, unified Headway experience. You'll operate with high autonomy and ownership, presenting regularly to executive leadership including our CEO and making bold recommendations backed by clear, evidence-driven rationale.

Provider growth is one of Headway’s most important levers for scaling access to affordable mental healthcare. Whether it's building a world-class referrals engine, optimizing conversion through onboarding, or laying the groundwork for future market expansion, this role is at the heart of Headway’s growth story — and critical to advancing our mission. This is a pivotal role for both Headway and our mission to make mental healthcare more accessible.

Core Responsibilities

• Lead end-to-end research projects, from identifying key questions and scoping research plans to conducting the work, synthesizing findings, and presenting actionable recommendations to stakeholders across the business.
• Employ a mixed-methods research skillset, combining quantitative data (surveys, A/B tests, behavioral analytics) with qualitative insights (IDIs, ethnography, concept testing) to develop a comprehensive understanding of how providers source, add, convert, and retain patients.
• Identify and size growth opportunities by analyzing provider behavior, patient sourcing patterns, and competitive dynamics. You will be expected to think critically about what's next for Headway and how we can best build a new mental healthcare system that everyone can access.
• Act as a strategic thought partner to product, design, and marketing teams working on the Provider growth journey, helping them define problem spaces, understand provider segments, and inform the development of new features, products, and campaigns.
• Drive a culture of research and user-centricity across the pod and broader organization by evangelizing findings and promoting a deep understanding of our diverse provider segments and their patients.
• Mentor and provide guidance to junior researchers, helping to build and scale our research practice.

Key Skills and Qualifications

• A PhD + 3 years of industry research experience (ideally with experience in a fast-moving tech environment)
• Or a Masters + 6 years
• Or a Bachelors + 8 years
• Expertise in both qualitative and quantitative research methodologies.
• A demonstrated ability to identify and frame business problems and opportunities, with a portfolio of work that shows direct impact on growth metrics.
• Experience in 0-1 product development.
• Strong analytical and critical thinking skills, with the ability to turn complex data and observations into clear, compelling narratives.
• Excellent communication and presentation skills, with the ability to influence and collaborate with diverse teams—up to and including executive leadership.
• A self-starter who is innately curious about human behavior and passionate about solving complex problems.

Compensation and Benefits:

The expected base pay range for this position is $212,000 - $265,000, based on a variety of factors including qualifications, experience, and geographic location. In addition to base salary, this role may be eligible for an equity grant, depending on the position and level.

We are committed to offering a comprehensive and competitive total rewards package, including robust health and wellness benefits, retirement savings, and meaningful ownership opportunities through equity. Compensation decisions are made holistically, ensuring fairness and alignment with market benchmarks while recognizing individual contributions and potential.

• Benefits offered include:
• Equity compensation
• Medical, Dental, and Vision coverage
• HSA / FSA
• 401K
• Work-from-Home Stipend
• Therapy Reimbursement
• 16-week parental leave for eligible employees
• Carrot Fertility annual reimbursement and membership
• 13 paid holidays each year as well as a Holiday Break during the week between December 25th and December 31st
• Flexible PTO
• Employee Assistance Program (EAP)
• Training and professional development

About Us

We’re a proprietary trading firm building systematic quantitative strategies in crypto. Since 2018, we’ve been a consistent liquidity provider across major venues- helping markets become more efficient and mature, while staying comfortable operating at the frontier as market structure evolves.

Our core strategies span market-making, HFT, and statistical arbitrage. We’re a team of engineers, technologists, researchers, and traders who build end-to-end systems: robust data and research pipelines to uncover edges, and low-latency infrastructure and execution software to capture them in production. We trade at scale (~$1B in daily notional volume) in a dynamic, fast-paced, and highly competitive environment.

We’re looking for the brightest, most driven people to join us- collaborative problem-solvers who want ownership, impact, and the chance to work with a team that brings 100+ years of collective quantitative finance experience.

About the position

As a quantitative researcher, you will scale our strategies to new markets and pioneer new alpha-generating frameworks from the ground up. 

Key job responsibilities include:

• Analyze large datasets to research crypto signals 
• Build, back test, and refine trading and hedging strategies across exchanges
• Monitor and analyze model performance in live trading to come up with improvement ideas
• Adapt existing strategies to new exchanges and crypto products
• Conduct research in niche market forces to improve our trading performance 

What We Look For

We are seeking mission-driven problem solvers who possess intellectual curiosity and analytical rigor required to navigate complex, real-time problems in high-stakes trading environments.  

The ideal candidate will have: 

• Significant experience required in financial markets, cryptocurrencies, crypto assets, and decentralized finance
• Deep understanding of varying crypto market microstructure and macrostructure
• Exceptional quantitative and problem-solving skills
• Strong team player with excellent communication skills
• Ability to use advanced statistics, machine learning models to solve practical problems
• Prior experience working in a data-driven role

Benefits

• Fully paid medical and dental insurance for all employees and dependents

• Competitive 401k match and generous wellness benefits.

• Meals at work and other perks.

Location 

We prefer in-person in San Francisco.

We are proud to be an equal opportunity workplace. We do not discriminate based upon race, religion, color, national origin, sex, sexual orientation, gender identity/expression, age, status as a protected veteran, status as an individual with a disability, or any other applicable legally protected characteristics.

About us

We’re a proprietary trading firm building systematic quantitative strategies in crypto. Since 2018, we’ve been a consistent liquidity provider across major venues- helping markets become more efficient and mature, while staying comfortable operating at the frontier as market structure evolves.

Our core strategies span market-making, HFT, and statistical arbitrage. We’re a team of engineers, technologists, researchers, and traders who build end-to-end systems: robust data and research pipelines to uncover edges, and low-latency infrastructure and execution software to capture them in production. We trade at scale (~$1B in daily notional volume) in a dynamic, fast-paced, and highly competitive environment.

We’re looking for the brightest, most driven people to join us- collaborative problem-solvers who want ownership, impact, and the chance to work with a team that brings 100+ years of collective quantitative finance experience.

About The Position 

As a quantitative researcher, you will scale our strategies to new markets and pioneer new alpha-generating frameworks from the ground up. 

Key job responsibilities include: 

• Analyze large datasets to research crypto signals 
• Build, back test, and refine trading and hedging strategies across exchanges
• Monitor and analyze model performance in live trading to come up with improvement ideas
• Adapt existing strategies to new exchanges and crypto products
• Conduct research in niche market forces to improve our trading performance 

What We Look For 

We are seeking mission-driven problem solvers who possess intellectual curiosity and analytical rigor required to navigate complex, real-time problems in high-stakes trading environments.  

The ideal candidate will have: 

• Significant experience required in financial markets, cryptocurrencies, crypto assets, and decentralized finance
• Deep understanding of varying crypto market microstructure and macrostructure
• Exceptional quantitative and problem-solving skills
• Strong team player with excellent communication skills
• Ability to use advanced statistics, machine learning models to solve practical problems
• Comfortable operating in a frenetic, high-stakes environment
• Prior experience working in a data-driven role 

Benefits

• Fully paid medical and dental insurance for all employees and dependents

• Competitive 401k match and generous wellness benefits.

• Meals at work and other perks.

Location 

We prefer in-person in San Francisco.

We are proud to be an equal opportunity workplace. We do not discriminate based upon race, religion, color, national origin, sex, sexual orientation, gender identity/expression, age, status as a protected veteran, status as an individual with a disability, or any other applicable legally protected characteristics.

Your Impact at LILA

Lila is building a talent-dense, high-agency AI safety team at Lila that will engage all core teams within the organization (science, model training, lab integration, etc) to prepare for risks from scientific superintelligence. We are looking for a Senior or Principal Technical Program Manager to join our AI Research team and serve as a critical operational force behind our AI safety work.

In this role, you will be the connective tissue between our researchers, model development teams, engineering, policy stakeholders, and leadership — translating complex, fast-moving research programs into structured, accountable execution. While not an ML researcher yourself, but you must be genuinely curious about the technical substance of AI safety work, and able to clearly articulate what our efforts are trying to accomplish. The successful candidate will be someone who thrives in ambiguity, communicates exceptionally well across audiences, and knows how to build clarity and momentum in a fast paced and rapidly growing team.

What You'll Be Building

• Serve as the key communication interface between the AI safety team and the research, science and technical teams, effectively communicating complex outcomes and securing necessary resources. Set up the organisational information flows that allow for this communication to happen with speed at scale.
• Drive accountability across distributed, cross-functional teams without relying on direct authority; build consensus through clear communication and sound judgment.
• Implement best practices for rapid experimentation and iteration, facilitating efficient and agile program progression.
• Develop clear documentation and reporting to communicate vision, track progress, and align initiatives with organizational priorities.
• Represent program status and risks accurately and confidently, even when the picture is uncertain or evolving.

What You’ll Need to Succeed

• Bachelor’s or Master’s degree in Computer Science, Engineering, Life Sciences, or a related field.
• 6+ years of program or project management experience in the technology or life sciences field.
• Proven experience in program management, leading cross-functional teams and driving programs to successful completion.
• Strong analytical and problem-solving skills, with the ability to turn technical requirements into actionable program roadmaps.
• Exceptional written and verbal communication skills; a track record of producing executive-quality documents, roadmaps, and updates that drive decisions.

Bonus Points For

• Direct experience in AI/ML research or product organizations, ideally in a program management or research operations capacity.
• Working familiarity with AI safety concepts — alignment, red-teaming, evaluations, responsible scaling — sufficient to engage credibly with researchers and ask good questions.
• Experience managing programs that span safety, compliance, or governance workstreams, particularly in the context of model development and deployment.
• Enthusiastic about emerging technologies and experienced in driving rapid experimentation and program iteration.

The Figma Research team is seeking a dynamic and experienced Researcher to join our Rapid Research program. This role is integral to our mission of connecting teams with customers throughout the development process, enabling confident iteration with a profound understanding of user impacts. As a Rapid Researcher at Figma, you'll play a pivotal role in shaping the future of our products by delivering actionable recommendations that drive strategic decisions. 

You have deep expertise in a variety of research methods, but you don't hold those methods precious. You can flexibly apply any tool in an unconstrained way to drive impact for the business. You'll work closely with product managers, designers, and engineers to integrate user feedback into the product lifecycle, ensuring that our solutions meet and exceed user expectations. You'll rotate across product areas and teams, so comfort navigating new contexts and building relationships quickly will be vital to your success.

At Figma, we believe your role as a researcher is to bring your point of view to the table—not simply to regurgitate observations and insights.This is a unique opportunity to join a team that values direct dialogue with our user communities, fostering a strong, human-centered approach to product development. If you're passionate about advancing your research discipline and making a significant impact, Figma is the place for you to do the best work of your career.

This is a full time role that can be held from one of our US hubs or remotely in the United States.

What you'll do at Figma:

• Conduct research studies to gather user feedback and insights throughout the development process, working in quick sprints
• Synthesize research findings into actionable product recommendations that land with stakeholders and inspire action
• Present product recommendations to cross-functional teams and senior leadership, telling the story behind the data—not just reporting insights
• Rotate across product areas and teams as needed, building credibility and relationships quickly without being embedded long-term
• Collaborate with product managers, designers, and engineers to integrate user insights into the product development process
• Continuously evaluate existing product experiences to surface strategic opportunities and keep Figma alert to user needs
• Lead and mentor junior researchers on best practices and methodologies
• Experiment with tools, templates, and workflows to make research faster and sharper

We’d love to hear from you if you have:

• 7+ years in research/design roles at fast-paced product organizations, UX/design agencies, or strategic consultancies focused on digital experience
• Proficient in mixed methods research, including qualitative (e.g., interviews) and quantitative (e.g., surveys, data analysis) approaches
• Proven communicator and storyteller, with a track record of presenting recommendations that secured executive buy-in or drove product changes
• Quickly ramps up on new projects and delivers measurable impact (1-2 weeks from start to finish)
• Actively integrates AI tools into their research workflow to increase speed, quality, or scale

While it’s not required, it’s an added plus if you also have:

• Experience in a major tech company with a strong evaluative research function
• A knack for figuring out ambiguous problems and shaping them into clear goals
• Proficiency with designing and prototyping—ideally within the Figma suite of tools
• Adaptable and scrappy, with a history of thriving in fast-paced, dynamic environments

About the Role

As a Technical Deployment Lead on the Claude Agentic Solutions team, you will lead the delivery of custom AI agent solutions for enterprise customers in highly regulated industries. You'll own high-value engagements where we collaborate directly with customers to build and deploy agents into their most critical business processes.

This is a founding team: you will help us to build technical playbooks and define the processes and repeatable patterns needed for us to scale this emerging motion. You will champion our mission in the field, ensure world class delivery, and bring insights back to our product and research teams on a regular basis.

You'll own engagements end-to-end, from SOW through production deployment. You'll work alongside Forward Deployed Engineers who build the technical solution, while you own product scoping, stakeholder management, value measurement, and the organizational complexity that comes with deploying AI agents in enterprise environments. You need to be technical enough to hold architecture conversations with engineering stakeholders and polished enough to run executive briefings with C-suite sponsors.

Responsibilities

• Own the technical delivery plan for each engagement. Structure SOWs with clear scope, milestones, dependencies, success criteria, and value hypotheses. Translate customer business objectives into a sequenced roadmap that FDEs execute against.
• Lead technical discovery. Map customer workflows, identify constraints, define MVP scope, and shape the solution architecture for custom agent deployments.
• Run day-to-day engineering execution. Drive delivery across Anthropic and customer teams. Keep progress unblocked and sequenced. Make real-time trade-offs on scope and priority to protect the critical path.
• Own product scoping for field engagements. Define the MVP, author requirements documentation, prioritize the engineering backlog, and manage scope against success criteria as requirements evolve.
• Own the customer relationship throughout delivery. Lead executive briefings, manage stakeholder communications across technical leads and procurement, and represent Anthropic's technical credibility with senior business and engineering leaders.
• Own value measurement and ROI. Define impact hypotheses, set baselines and KPIs, run pre- and post-deployment measurement, and report outcomes to executive sponsors.
• Codify reusable delivery assets. Build solution patterns, evaluation frameworks, and technical playbooks. Extract what works across engagements and feed field signals back to Product and Research to improve our platform and models.
• Navigate enterprise and regulatory complexity. Security reviews, legal approvals, procurement processes, compliance requirements, and organizational dynamics.
• Manage scope and change. Handle evolving requirements, set expectations, negotiate contract modifications, identify risks early, and escalate with clear context when needed.
• Run delivery operations. Sprint ceremonies, milestone reviews, and progress reporting.
• Travel to customer sites. Build relationships, unblock delivery, and accelerate adoption. (25–50% expected).

You May Be a Good Fit If You

• Have led AI/ML engagements/deployments, whether as a founder, data scientist, engineer, researcher, or in a professional services or consulting role.
• Have delivered AI, ML, or LLM-based agentic solutions into production. You understand solution patterns, integration approaches, and what breaks in real environments.
• Have experience in a specialized vertical (financial services, life sciences, pharmaceutical, retail, mining, agriculture, etc.).
• Can lead architecture discussions with engineering stakeholders, evaluate technical trade-offs, and pressure-test technical decisions. You won't write production code, but you will own the technical direction of engagements alongside FDEs.
• Have a track record delivering complex, high-stakes technical projects for enterprise clients where outcomes depended on tight coordination and fast decision-making — ideally across multiple workstreams in regulated industries.
• Have executive presence — polished, credible, and comfortable representing Anthropic to senior leaders in high-stakes environments.
• Thrive in ambiguity and bring structure where none exists.
• Have a builder's mindset — you're here to create a function, not join one.

What The Role Is

Reporting to the Senior Director, Market Optimization & Trading, the Manager of CRR & FTR Trading is responsible for developing, executing, and optimizing Clearway’s congestion management strategies through active participation in ERCOT and CAISO’s Congestion Revenue Rights (CRR) and Day-Ahead markets and the PJM Financial Transmission Right (FTR). This role focuses on identifying, analyzing, and monetizing congestion opportunities while managing the company’s nodal risk and basis exposure across its generation portfolio.  This role will also be tasked with developing hedging and risk management strategies across other parts of the portfolio. The position requires strong analytical, modeling, risk management, and trading skills to inform commercial decisions and support portfolio optimization within a rapidly expanding renewables platform.

What You'll Be Doing

CRR / FTR Trading & Position Management

• Develop and execute CRR, FTR, and congestion trading strategies to hedge and optimize portfolio congestion risk across ERCOT, CAISO, and PJM.
• Analyze historical and forecasted congestion patterns to identify trading opportunities in monthly and annual CRR auctions.
• Manage portfolio-level exposure to nodal price risk through CRR / FTR acquisitions, sales, and virtual positions.
• Support the Real-Time and Day-Ahead MOT team with congestion insights and locational pricing forecasts.
• Collaborate with Market Fundamentals, Asset Management, and Origination to align CRR strategies with commercial hedging and offtake structures.
• Monitor project-level financial performance tied to congestion costs, basis exposure, and hedge efficiency.
• Maintain dashboards and reporting tools to track CRR positions, portfolio exposure, and P&L attribution.

Analytics & Modeling

• Utilize power flow and production cost modeling software (e.g., Dayzer and PROMOD) to forecast congestion and simulate transmission constraints.
• Coordinate with Fundamentals and Analytics teams to enhance modeling of nodal prices, transmission outages, and topology changes.
• Leverage programming tools such as Python, R, SQL, and Power BI to automate congestion analytics and scenario back-testing.
• Research regulatory filings, transmission plans, and outage schedules to anticipate market shifts.

Market Fundamentals

• Conduct an in-depth analysis of ERCOT, PJM, and CAISO’s transmission topology, load growth, and renewable generation trends.
• Monitor weather, outage, and project interconnection developments that impact congestion patterns.
• Communicate congestion forecasts and market insights to internal stakeholders, including senior management and trading desks.

Risk & Energy Market Strategy

• Develop portfolio risk limits and maintain portfolio-level risk metrics accounting for cross-market correlations in energy, congestion, and REC prices.
• Review forward market price volatility curves and correlation assumptions for stochastic risk modeling.
• Facilitate trading strategy performance benchmarking and establishing risk limits.
• Develop and apply portfolio optimization techniques to drive hedge strategy decisions while balancing the risk-adjusted revenue of Clearway’s renewable assets. Hedging strategies include DART optimization, CRR/FTRs, term hedge, and PPA transactions. Perform daily and weekly portfolio assessments to identify opportunities to maximize portfolio profit opportunities and identify risks.

Governance, Compliance & Risk

• Ensure CRR/FTR trading activities comply with corporate and project-level risk policies, market rules, and Market protocols. • Work closely with Risk, Accounting, and Settlements to reconcile positions, P&L, and collateral management.
• Maintain compliance documentation and participate in periodic audits.

Collaboration & Commercial Support

• Partner with Market Fundamentals, Origination, Development, and Asset Management teams to incorporate CRR/FTR and congestion considerations into project siting and contracting decisions.
• Provide market intelligence and due diligence support for M&A transactions, new developments, and repower evaluations.
• May impact departmental budgeting, strategic planning, and procedural change

What You'll Bring

• Bachelor’s degree in Engineering, Economics, Finance, or related field.
• 6-10 years of power market experience, with at least 2+ years directly in CRR, FTR, nodal, or virtual trading.
• Experience using ERCOT and CAISO CRR auction tools, Dayzer, UPLAN, or similar transmission models.
• Prior experience in energy trading, asset optimization, or market analytics required.
• Ability to construct power fundamental models for pricing, load, generation, flow, and outages using various methodologies
• Ability to build Quant Lib utilizing stochastic calculus and Option Models for deal valuation.
• Deep understanding of ERCOT, CAISO, and PJM market design, CRR/FTR auction processes, transmission planning, and nodal pricing. Dayzer experience is required.
• Strong quantitative, analytical, and problem-solving abilities.
• Excellent communication skills to translate technical results into commercial strategy.
• Proficiency with Excel, PowerPoint, and Power BI.
• Familiarity with congestion and risk management strategies for renewable and storage assets.
• Highly proficient in developing predictive models using mathematical and statistical methods to identify, analyze, and mitigate energy market risks with an understanding of option valuation and Greeks.

What Would Be Nice

• Advanced degree preferred
• Advanced skills in Python, R, or SQL strongly preferred
• Familiarity with battery, wind, or solar congestion profiles is a plus.

Clearway will not sponsor non-immigrant visas for this position (H-1B, TN, E-3, etc.).

#LI-Hybrid

What The Role Is

Reporting to the Senior Director, Market Optimization & Trading, the Manager of CRR & FTR Trading is responsible for developing, executing, and optimizing Clearway’s congestion management strategies through active participation in ERCOT and CAISO’s Congestion Revenue Rights (CRR) and Day-Ahead markets and the PJM Financial Transmission Right (FTR). This role focuses on identifying, analyzing, and monetizing congestion opportunities while managing the company’s nodal risk and basis exposure across its generation portfolio.  This role will also be tasked with developing hedging and risk management strategies across other parts of the portfolio. The position requires strong analytical, modeling, risk management, and trading skills to inform commercial decisions and support portfolio optimization within a rapidly expanding renewables platform.

What You'll Be Doing

CRR / FTR Trading & Position Management

• Develop and execute CRR, FTR, and congestion trading strategies to hedge and optimize portfolio congestion risk across ERCOT, CAISO, and PJM.
• Analyze historical and forecasted congestion patterns to identify trading opportunities in monthly and annual CRR auctions.
• Manage portfolio-level exposure to nodal price risk through CRR / FTR acquisitions, sales, and virtual positions.
• Support the Real-Time and Day-Ahead MOT team with congestion insights and locational pricing forecasts.
• Collaborate with Market Fundamentals, Asset Management, and Origination to align CRR strategies with commercial hedging and offtake structures.
• Monitor project-level financial performance tied to congestion costs, basis exposure, and hedge efficiency.
• Maintain dashboards and reporting tools to track CRR positions, portfolio exposure, and P&L attribution.

Analytics & Modeling

• Utilize power flow and production cost modeling software (e.g., Dayzer and PROMOD) to forecast congestion and simulate transmission constraints.
• Coordinate with Fundamentals and Analytics teams to enhance modeling of nodal prices, transmission outages, and topology changes.
• Leverage programming tools such as Python, R, SQL, and Power BI to automate congestion analytics and scenario back-testing.
• Research regulatory filings, transmission plans, and outage schedules to anticipate market shifts.

Market Fundamentals

• Conduct in-depth analysis of ERCOT, PJM, and CAISO’s transmission topology, load growth, and renewable generation trends.
• Monitor weather, outage, and project interconnection developments that impact congestion patterns.
• Communicate congestion forecasts and market insights to internal stakeholders, including senior management and trading desks.

Risk & Energy Market Strategy

• Develop portfolio risk limits and maintain portfolio-level risk metrics accounting for cross-market correlations in energy, congestion, and REC prices.
• Review forward market price volatility curves and correlation assumptions for stochastic risk modeling.
• Facilitate trading strategy performance benchmarking and establishing risk limits.
• Develop and apply portfolio optimization techniques to drive hedge strategy decisions while balancing the risk-adjusted revenue of Clearway’s renewable assets. Hedging strategies include DART optimization, CRR/FTRs, term hedge, and PPA transactions. Perform daily and weekly portfolio assessments to identify opportunities to maximize portfolio profit opportunities and identify risks.

Governance, Compliance & Risk

• Ensure CRR/FTR trading activities comply with corporate and project-level risk policies, market rules, and Market protocols. • Work closely with Risk, Accounting, and Settlements to reconcile positions, P&L, and collateral management.
• Maintain compliance documentation and participate in periodic audits.

Collaboration & Commercial Support

• Partner with Market Fundamentals, Origination, Development, and Asset Management teams to incorporate CRR/FTR and congestion considerations into project siting and contracting decisions.
• Provide market intelligence and due diligence support for M&A transactions, new developments, and repower evaluations.
• May impact departmental budgeting, strategic planning, and procedural change

What You'll Bring

• Bachelor’s degree in Engineering, Economics, Finance, or related field.
• 6-10 years of power market experience, with at least 2+ years directly in CRR, FTR, nodal, or virtual trading.
• Experience using ERCOT and CAISO CRR auction tools, Dayzer, UPLAN, or similar transmission models.
• Prior experience in energy trading, asset optimization, or market analytics required.
• Ability to construct power fundamental models for pricing, load, generation, flow, and outages using various methodologies
• Ability to build Quant Lib utilizing stochastic calculus and Option Models for deal valuation.
• Deep understanding of ERCOT, CAISO, and PJM market design, CRR/FTR auction processes, transmission planning, and nodal pricing. Dayzer experience is required.
• Strong quantitative, analytical, and problem-solving abilities.
• Excellent communication skills to translate technical results into commercial strategy.
• Proficiency with Excel, PowerPoint, and Power BI.
• Familiarity with congestion and risk management strategies for renewable and storage assets.
• Highly proficient in developing predictive models using mathematical and statistical methods to identify, analyze, and mitigate energy market risks with an understanding of option valuation and Greeks.

What Would Be Nice

• Advanced degree preferred
• Advanced skills in Python, R, or SQL strongly preferred
• Familiarity with battery, wind, or solar congestion profiles is a plus.

Clearway will not sponsor non-immigrant visas for this position (H-1B, TN, E-3, etc.).

#LI-Hybrid

What The Role Is

Reporting to the Senior Director, Market Optimization & Trading, the Manager of CRR & FTR Trading is responsible for developing, executing, and optimizing Clearway’s congestion management strategies through active participation in ERCOT and CAISO’s Congestion Revenue Rights (CRR) and Day-Ahead markets and the PJM Financial Transmission Right (FTR). This role focuses on identifying, analyzing, and monetizing congestion opportunities while managing the company’s nodal risk and basis exposure across its generation portfolio.  This role will also be tasked with developing hedging and risk management strategies across other parts of the portfolio. The position requires strong analytical, modeling, risk management, and trading skills to inform commercial decisions and support portfolio optimization within a rapidly expanding renewables platform.

What You'll Be Doing

CRR / FTR Trading & Position Management

• Develop and execute CRR, FTR, and congestion trading strategies to hedge and optimize portfolio congestion risk across ERCOT, CAISO, and PJM.
• Analyze historical and forecasted congestion patterns to identify trading opportunities in monthly and annual CRR auctions.
• Manage portfolio-level exposure to nodal price risk through CRR / FTR acquisitions, sales, and virtual positions.
• Support the Real-Time and Day-Ahead MOT team with congestion insights and locational pricing forecasts.
• Collaborate with Market Fundamentals, Asset Management, and Origination to align CRR strategies with commercial hedging and offtake structures.
• Monitor project-level financial performance tied to congestion costs, basis exposure, and hedge efficiency.
• Maintain dashboards and reporting tools to track CRR positions, portfolio exposure, and P&L attribution.

Analytics & Modeling

• Utilize power flow and production cost modeling software (e.g., Dayzer and PROMOD) to forecast congestion and simulate transmission constraints.
• Coordinate with Fundamentals and Analytics teams to enhance modeling of nodal prices, transmission outages, and topology changes.
• Leverage programming tools such as Python, R, SQL, and Power BI to automate congestion analytics and scenario back-testing.
• Research regulatory filings, transmission plans, and outage schedules to anticipate market shifts.

Market Fundamentals

• Conduct in-depth analysis of ERCOT, PJM, and CAISO’s transmission topology, load growth, and renewable generation trends.
• Monitor weather, outage, and project interconnection developments that impact congestion patterns.
• Communicate congestion forecasts and market insights to internal stakeholders, including senior management and trading desks.

Risk & Energy Market Strategy

• Develop portfolio risk limits and maintain portfolio-level risk metrics accounting for cross-market correlations in energy, congestion, and REC prices.
• Review forward market price volatility curves and correlation assumptions for stochastic risk modeling.
• Facilitate trading strategy performance benchmarking and establishing risk limits.
• Develop and apply portfolio optimization techniques to drive hedge strategy decisions while balancing the risk-adjusted revenue of Clearway’s renewable assets. Hedging strategies include DART optimization, CRR/FTRs, term hedge, and PPA transactions. Perform daily and weekly portfolio assessments to identify opportunities to maximize portfolio profit opportunities and identify risks.

Governance, Compliance & Risk

• Ensure CRR/FTR trading activities comply with corporate and project-level risk policies, market rules, and Market protocols. • Work closely with Risk, Accounting, and Settlements to reconcile positions, P&L, and collateral management.
• Maintain compliance documentation and participate in periodic audits.

Collaboration & Commercial Support

• Partner with Market Fundamentals, Origination, Development, and Asset Management teams to incorporate CRR/FTR and congestion considerations into project siting and contracting decisions.
• Provide market intelligence and due diligence support for M&A transactions, new developments, and repower evaluations.
• May impact departmental budgeting, strategic planning, and procedural change

What You'll Bring

• Bachelor’s degree in Engineering, Economics, Finance, or related field.
• 6-10 years of power market experience, with at least 2+ years directly in CRR, FTR, nodal, or virtual trading.
• Experience using ERCOT and CAISO CRR auction tools, Dayzer, UPLAN, or similar transmission models.
• Prior experience in energy trading, asset optimization, or market analytics required.
• Ability to construct power fundamental models for pricing, load, generation, flow, and outages using various methodologies
• Ability to build Quant Lib utilizing stochastic calculus and Option Models for deal valuation.
• Deep understanding of ERCOT, CAISO, and PJM market design, CRR/FTR auction processes, transmission planning, and nodal pricing. Dayzer experience is required.
• Strong quantitative, analytical, and problem-solving abilities.
• Excellent communication skills to translate technical results into commercial strategy.
• Proficiency with Excel, PowerPoint, and Power BI.
• Familiarity with congestion and risk management strategies for renewable and storage assets.
• Highly proficient in developing predictive models using mathematical and statistical methods to identify, analyze, and mitigate energy market risks with an understanding of option valuation and Greeks.

What Would Be Nice

• Advanced degree preferred
• Advanced skills in Python, R, or SQL strongly preferred
• Familiarity with battery, wind, or solar congestion profiles is a plus.

Clearway will not sponsor non-immigrant visas for this position (H-1B, TN, E-3, etc.).

#LI-Hybrid

What The Role Is

Reporting to the Senior Director, Market Optimization & Trading, the Manager of CRR & FTR Trading is responsible for developing, executing, and optimizing Clearway’s congestion management strategies through active participation in ERCOT and CAISO’s Congestion Revenue Rights (CRR) and Day-Ahead markets and the PJM Financial Transmission Right (FTR). This role focuses on identifying, analyzing, and monetizing congestion opportunities while managing the company’s nodal risk and basis exposure across its generation portfolio.  This role will also be tasked with developing hedging and risk management strategies across other parts of the portfolio. The position requires strong analytical, modeling, risk management, and trading skills to inform commercial decisions and support portfolio optimization within a rapidly expanding renewables platform.

What You'll Be Doing

CRR / FTR Trading & Position Management

• Develop and execute CRR, FTR, and congestion trading strategies to hedge and optimize portfolio congestion risk across ERCOT, CAISO, and PJM.
• Analyze historical and forecasted congestion patterns to identify trading opportunities in monthly and annual CRR auctions.
• Manage portfolio-level exposure to nodal price risk through CRR / FTR acquisitions, sales, and virtual positions.
• Support the Real-Time and Day-Ahead MOT team with congestion insights and locational pricing forecasts.
• Collaborate with Market Fundamentals, Asset Management, and Origination to align CRR strategies with commercial hedging and offtake structures.
• Monitor project-level financial performance tied to congestion costs, basis exposure, and hedge efficiency.
• Maintain dashboards and reporting tools to track CRR positions, portfolio exposure, and P&L attribution.

Analytics & Modeling

• Utilize power flow and production cost modeling software (e.g., Dayzer and PROMOD) to forecast congestion and simulate transmission constraints.
• Coordinate with Fundamentals and Analytics teams to enhance modeling of nodal prices, transmission outages, and topology changes.
• Leverage programming tools such as Python, R, SQL, and Power BI to automate congestion analytics and scenario back-testing.
• Research regulatory filings, transmission plans, and outage schedules to anticipate market shifts.

Market Fundamentals

• Conduct in-depth analysis of ERCOT, PJM, and CAISO’s transmission topology, load growth, and renewable generation trends.
• Monitor weather, outage, and project interconnection developments that impact congestion patterns.
• Communicate congestion forecasts and market insights to internal stakeholders, including senior management and trading desks.

Risk & Energy Market Strategy

• Develop portfolio risk limits and maintain portfolio-level risk metrics accounting for cross-market correlations in energy, congestion, and REC prices.
• Review forward market price volatility curves and correlation assumptions for stochastic risk modeling.
• Facilitate trading strategy performance benchmarking and establishing risk limits.
• Develop and apply portfolio optimization techniques to drive hedge strategy decisions while balancing the risk-adjusted revenue of Clearway’s renewable assets. Hedging strategies include DART optimization, CRR/FTRs, term hedge, and PPA transactions. Perform daily and weekly portfolio assessments to identify opportunities to maximize portfolio profit opportunities and identify risks.

Governance, Compliance & Risk

• Ensure CRR/FTR trading activities comply with corporate and project-level risk policies, market rules, and Market protocols. • Work closely with Risk, Accounting, and Settlements to reconcile positions, P&L, and collateral management.
• Maintain compliance documentation and participate in periodic audits.

Collaboration & Commercial Support

• Partner with Market Fundamentals, Origination, Development, and Asset Management teams to incorporate CRR/FTR and congestion considerations into project siting and contracting decisions.
• Provide market intelligence and due diligence support for M&A transactions, new developments, and repower evaluations.
• May impact departmental budgeting, strategic planning, and procedural change

What You'll Bring

• Bachelor’s degree in Engineering, Economics, Finance, or related field.
• 6-10 years of power market experience, with at least 2+ years directly in CRR, FTR, nodal, or virtual trading.
• Experience using ERCOT and CAISO CRR auction tools, Dayzer, UPLAN, or similar transmission models.
• Prior experience in energy trading, asset optimization, or market analytics required.
• Ability to construct power fundamental models for pricing, load, generation, flow, and outages using various methodologies
• Ability to build Quant Lib utilizing stochastic calculus and Option Models for deal valuation.
• Deep understanding of ERCOT, CAISO, and PJM market design, CRR/FTR auction processes, transmission planning, and nodal pricing. Dayzer experience is required.
• Strong quantitative, analytical, and problem-solving abilities.
• Excellent communication skills to translate technical results into commercial strategy.
• Proficiency with Excel, PowerPoint, and Power BI.
• Familiarity with congestion and risk management strategies for renewable and storage assets.
• Highly proficient in developing predictive models using mathematical and statistical methods to identify, analyze, and mitigate energy market risks with an understanding of option valuation and Greeks.

What Would Be Nice

• Advanced degree preferred
• Advanced skills in Python, R, or SQL strongly preferred
• Familiarity with battery, wind, or solar congestion profiles is a plus.

Clearway will not sponsor non-immigrant visas for this position (H-1B, TN, E-3, etc.).

#LI-Hybrid

What The Role Is

Reporting to the Senior Director, Market Optimization & Trading, the Manager of CRR & FTR Trading is responsible for developing, executing, and optimizing Clearway’s congestion management strategies through active participation in ERCOT and CAISO’s Congestion Revenue Rights (CRR) and Day-Ahead markets and the PJM Financial Transmission Right (FTR). This role focuses on identifying, analyzing, and monetizing congestion opportunities while managing the company’s nodal risk and basis exposure across its generation portfolio.  This role will also be tasked with developing hedging and risk management strategies across other parts of the portfolio. The position requires strong analytical, modeling, risk management, and trading skills to inform commercial decisions and support portfolio optimization within a rapidly expanding renewables platform.

What You'll Be Doing

CRR / FTR Trading & Position Management

• Develop and execute CRR, FTR, and congestion trading strategies to hedge and optimize portfolio congestion risk across ERCOT, CAISO, and PJM.
• Analyze historical and forecasted congestion patterns to identify trading opportunities in monthly and annual CRR auctions.
• Manage portfolio-level exposure to nodal price risk through CRR / FTR acquisitions, sales, and virtual positions.
• Support the Real-Time and Day-Ahead MOT team with congestion insights and locational pricing forecasts.
• Collaborate with Market Fundamentals, Asset Management, and Origination to align CRR strategies with commercial hedging and offtake structures.
• Monitor project-level financial performance tied to congestion costs, basis exposure, and hedge efficiency.
• Maintain dashboards and reporting tools to track CRR positions, portfolio exposure, and P&L attribution.

Analytics & Modeling

• Utilize power flow and production cost modeling software (e.g., Dayzer and PROMOD) to forecast congestion and simulate transmission constraints.
• Coordinate with Fundamentals and Analytics teams to enhance modeling of nodal prices, transmission outages, and topology changes.
• Leverage programming tools such as Python, R, SQL, and Power BI to automate congestion analytics and scenario back-testing.
• Research regulatory filings, transmission plans, and outage schedules to anticipate market shifts.

Market Fundamentals

• Conduct in-depth analysis of ERCOT, PJM, and CAISO’s transmission topology, load growth, and renewable generation trends.
• Monitor weather, outage, and project interconnection developments that impact congestion patterns.
• Communicate congestion forecasts and market insights to internal stakeholders, including senior management and trading desks.

Risk & Energy Market Strategy

• Develop portfolio risk limits and maintain portfolio-level risk metrics accounting for cross-market correlations in energy, congestion, and REC prices.
• Review forward market price volatility curves and correlation assumptions for stochastic risk modeling.
• Facilitate trading strategy performance benchmarking and establishing risk limits.
• Develop and apply portfolio optimization techniques to drive hedge strategy decisions while balancing the risk-adjusted revenue of Clearway’s renewable assets. Hedging strategies include DART optimization, CRR/FTRs, term hedge, and PPA transactions. Perform daily and weekly portfolio assessments to identify opportunities to maximize portfolio profit opportunities and identify risks.

Governance, Compliance & Risk

• Ensure CRR/FTR trading activities comply with corporate and project-level risk policies, market rules, and Market protocols. • Work closely with Risk, Accounting, and Settlements to reconcile positions, P&L, and collateral management.
• Maintain compliance documentation and participate in periodic audits.

Collaboration & Commercial Support

• Partner with Market Fundamentals, Origination, Development, and Asset Management teams to incorporate CRR/FTR and congestion considerations into project siting and contracting decisions.
• Provide market intelligence and due diligence support for M&A transactions, new developments, and repower evaluations.
• May impact departmental budgeting, strategic planning, and procedural change

What You'll Bring

• Bachelor’s degree in Engineering, Economics, Finance, or related field.
• 6-10 years of power market experience, with at least 2+ years directly in CRR, FTR, nodal, or virtual trading.
• Experience using ERCOT and CAISO CRR auction tools, Dayzer, UPLAN, or similar transmission models.
• Prior experience in energy trading, asset optimization, or market analytics required.
• Ability to construct power fundamental models for pricing, load, generation, flow, and outages using various methodologies
• Ability to build Quant Lib utilizing stochastic calculus and Option Models for deal valuation.
• Deep understanding of ERCOT, CAISO, and PJM market design, CRR/FTR auction processes, transmission planning, and nodal pricing. Dayzer experience is required.
• Strong quantitative, analytical, and problem-solving abilities.
• Excellent communication skills to translate technical results into commercial strategy.
• Proficiency with Excel, PowerPoint, and Power BI.
• Familiarity with congestion and risk management strategies for renewable and storage assets.
• Highly proficient in developing predictive models using mathematical and statistical methods to identify, analyze, and mitigate energy market risks with an understanding of option valuation and Greeks.

What Would Be Nice

• Advanced degree preferred
• Advanced skills in Python, R, or SQL strongly preferred
• Familiarity with battery, wind, or solar congestion profiles is a plus.

Clearway will not sponsor non-immigrant visas for this position (H-1B, TN, E-3, etc.).

#LI-Hybrid

We are seeking an innovative and experienced Embodied AI Researcher, focusing on the development and application of foundation models in robotics. The successful candidate will contribute to cutting-edge research, designing models and experiments that advance the field of robotics through deep learning and zero-shot generalization.

Responsibilities:

• Train foundation models for robotics, utilizing architectures similar to RT-X.
• Align text-based reasoning processes with low-level robotic control policies.
• Design and conduct experiments to evaluate zero-shot generalization in robotic systems.
• Collaborate with interdisciplinary teams to integrate AI models into practical robotic applications.
• Document and present research findings at internal and external conferences.

Qualifications:

• PhD or equivalent research experience in Deep Learning and Robotics.
• Proven track record of publications in top-tier conferences such as CoRL, ICRA, and NeurIPS.
• Practical experience with imitation learning and behavior cloning techniques.
• Strong programming skills in Python and familiarity with machine learning frameworks such as TensorFlow or PyTorch.
• Excellent problem-solving skills and the ability to work independently and as part of a team.

About the role

The RL Velocity team owns the efficiency and reliability of our RL Science stack - the infrastructure, tooling, and systems that let researchers iterate quickly on training runs. As a Research Engineer on the team, you'll build and improve the core platform that underpins how we do RL at Anthropic, removing bottlenecks that slow down research and making it easier for the broader org to ship better models faster. This is high-leverage work: small improvements to velocity compound across every researcher and every run.

Responsibilities

• Build and improve the RL training infrastructure that researchers depend on day-to-day
• Identify and remove bottlenecks across the RL stack: debugging, profiling, and rearchitecting where needed
• Partner closely with researchers and with adjacent engineering teams (inference, sandboxing, and many more) to understand pain points and ship tooling that makes them faster
• Own the reliability and performance of research runs end-to-end
• Contribute to design decisions that shape how Anthropic does RL at scale

You may be a good fit if you

• Have strong software engineering fundamentals and a track record of building performant, reliable systems
• Have worked on ML infrastructure, distributed systems, or research tooling
• Care about enabling other people's work and find leverage through platforms rather than individual experiments
• Are comfortable operating across the stack, from low-level performance work to RL algorithms
• Have a bias toward shipping and iterating quickly, with a mix of high agency and low ego

Strong candidates may also have

• Experience with large-scale distributed training (RL, pre-training, or post-training)
• Familiarity with JAX, PyTorch, or similar ML frameworks
• A track record of operating at the edge of research and infra in a fast-moving environment

Deadline to apply: None. Applications will be reviewed on a rolling basis.

About World Labs:

We build foundational world models that can perceive, generate, reason, and interact with the 3D world — unlocking AI's full potential through spatial intelligence by transforming seeing into doing, perceiving into reasoning, and imagining into creating. 

We believe spatial intelligence will unlock new forms of storytelling, creativity, design, simulation, and immersive experiences across both virtual and physical worlds.

We bring together a world-class team, united by a shared curiosity, passion, and deep backgrounds in technology — from AI research to systems engineering to product design — creating a tight feedback loop between our cutting-edge research and products that empower our users.

Role Overview

We’re looking for a 3D Data Pipeline Engineer to design, build, and operate the core systems that enable high-quality 3D data processing, synthetic data generation, and rendering across our products. This is a hands-on role for someone who is passionate about large-scale 3D data, system performance, and delivering reliable data pipelines to power our product features.

You’ll work closely with product engineers, 3D artists, and research scientists to design efficient, robust, and scalable data pipeline capabilities—while keeping data integrity and performance high in a fast-moving startup environment.

What You Will Do:

• Design, build, and operate automated pipelines for 3D data ingestion, cleaning, processing, validation, and delivery that sit on the critical path for model training.
• Own foundational capabilities for synthetic data generation, including developing tools, workflows, and quality metrics to produce high-fidelity training data at scale.
• Develop and optimize high-performance rendering systems and services for real-time visualization and asset generation.
• Architect and operate distributed data systems for handling massive volumes of 3D models, textures, and associated metadata, ensuring data consistency and robust failure recovery.
• Own data quality and production readiness end-to-end: defining data schemas, implementing quality checks, capacity planning, observability, and continuous improvement for the 3D pipeline.
• Improve developer and researcher velocity by building shared abstractions, tooling, and guardrails that reduce the operational and cognitive load of working with 3D assets.
• Collaborate with cross-functional teams to integrate the 3D data pipeline with other core product platforms and services.
• Set technical direction, mentor engineers, and raise the data engineering bar across the product org with a focus on 3D data.

Key Qualifications:

• 6+ years of experience building and operating large-scale data pipelines, especially with a focus on 3D, graphics, or simulation data, with deep experience designing scalable, distributed services in production.
• Strong programming skills in Python and/or C++, and a solid foundation in data engineering principles and distributed systems architecture.
• Hands-on experience with 3D data processing libraries, game engines (e.g., Unity, Unreal), or rendering APIs (e.g., OpenGL, Vulkan).
• Experience with cloud-based data storage and processing solutions (e.g., Kubernetes, distributed file systems, data warehouses).
• Experience working in fast-moving or startup environments, ideally having led systems or products from early design through production and growth.
• A high bar for ownership and execution: you’re comfortable with ambiguity, take responsibility for outcomes, and drive work forward without waiting for perfect clarity.
• A product-first mindset: you care about data quality, pipeline reliability, and performance as core product features, not afterthoughts.
• Enjoy collaborating with a small, high-ownership team and raising the quality bar through code, data design, and example.

Who You Are:

• Fearless Innovator: We need people who thrive on challenges and aren't afraid to tackle the impossible.
• Resilient Builder: Impacting Large World Models isn't a sprint; it's a marathon with hurdles. We're looking for builders who can weather the storms of groundbreaking research and come out stronger.
• Mission-Driven Mindset: Everything we do is in service of creating the best spatially intelligent AI systems, and using them to empower people.
• Collaborative Spirit: We're building something bigger than any one person. We need team players who can harness the power of collective intelligence.

We're hiring the brightest minds from around the globe to bring diverse perspectives to our cutting-edge work. If you're ready to work on technology that will reshape how machines perceive and interact with the world, World Labs is your launchpad.

Join us, and let's make history together.

Equal Opportunity & Pay Transparency

Equal Employment Opportunity

World Labs is an equal opportunity employer. We do not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, genetic information, veteran status, or any other characteristic protected under applicable law. We welcome all qualified applicants and are committed to providing reasonable accommodations throughout the hiring process upon request.

California Pay Transparency

In accordance with California law, we disclose the following:

About the Role

Snorkel AI is hiring a Director, Forward Deployed Researcher on the Data-as-a-service team. Your team will partner directly with frontier AI labs on their hardest data problems: scoping training data needs, designing RL environments, developing evaluation frameworks, and translating customer research objectives into actionable technical plans.

This is a player-coach role. Roughly half your time goes to people leadership (hiring, coaching, developing your team) and the other half to hands-on technical work on strategic accounts. You set the technical bar for spec quality and build the playbooks and processes that let the team scale. You influence how the function operates, from process and standards to team culture.

You partner closely with AE leadership on pipeline strategy, account coverage, and SE allocation. You also work cross-functionally with Delivery, Research, and Engineering to ensure smooth handoffs. The right person for this role can hold their own with frontier AI researchers, has strong presales instincts, and wants to build a team.

Main Responsibilities

• Recruit, hire, and develop the forward deployed research team, coaching the team on technical quality, customer engagement, and career growth
• Set and maintain the technical bar for specifications, evaluation frameworks, and customer deliverables
• Own SE capacity planning and account coverage; partner with AE leadership on deal strategy, engagement prioritization, and pipeline forecasting
• Establish team processes and playbooks for discovery, spec development, and knowledge sharing
• Lead technical conversations on select strategic accounts, including scoping, solution design, and partnership with frontier AI research teams
• Serve as escalation point for technically complex or high-stakes customer situations

Preferred Qualifications

• 8+ years of experience in applied ML, AI solutions engineering, technical presales, or research-intensive customer-facing roles
• 5+ years managing or leading technical individual contributors, ideally in a presales or solutions engineering org
• Strong expertise in frontier AI concepts including LLMs, training data pipelines, evaluation methodologies, post-training techniques (RLHF, DPO, RLAIF), and domain areas such as coding agents, reasoning, multimodal models, or RL environments
• Track record of hiring and developing technical talent
• Experience operating against revenue or pipeline goals in a GTM organization
• Excellent communication skills, able to coach a team, partner with sales leadership, and engage credibly with frontier AI researchers
• Ability to work in a fast-moving environment, comfortable with ambiguity and rapid iteration
• B.S. in Computer Science, Machine Learning, or related field

Be Your Best at Snorkel

Joining Snorkel AI means becoming part of a company that has market proven solutions, robust funding, and is scaling rapidly — offering a unique combination of stability and the excitement of high growth. As a member of our team, you'll have meaningful opportunities to shape priorities and initiatives, influence key strategic decisions, and directly impact our ongoing success. Whether you're looking to deepen your technical expertise, explore leadership opportunities, or learn new skills across multiple functions, you're fully supported in building your career in an environment designed for growth, learning, and shared success.

Snorkel AI is proud to be an Equal Employment Opportunity employer and is committed to building a team that represents a variety of backgrounds, perspectives, and skills. Snorkel AI embraces diversity and provides equal employment opportunities to all employees and applicants for employment. Snorkel AI prohibits discrimination and harassment of any type on the basis of race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local law. All employment is decided on the basis of qualifications, performance, merit, and business need.

We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

About the role

We are looking for a strong operator to serve as the operational backbone of Anthropic's Economic Research team. Your overarching mandate is twofold: 1) “clear the brush” so our researchers can efficiently execute on key research priorities, and 2) ensure research aspirations and findings translate into concrete policy and commercial outcomes. In practice this means you will be the person who keeps the team's operating rhythm tight, synthesizes information so leadership can make good decisions quickly, and represents the team in cross-functional settings when researchers are heads-down.

Delivering on these mandates will require strong operational rigor, a broad understanding of Policy, Research, and Communications ecosystems, and a knack for forming effective partnerships both within and outside of Anthropic.

In this role, you will:

• Drive execution on the team’s research initiatives, e.g., economic index releases, economic briefs and working papers, agents research, Clio observability analyses, Anthropic interviewer deployments. This will involve a lot of information gathering and reporting while researchers are “out in the wilderness”

• Work backward from business deadlines to set research deadlines/milestones and plan out team capacity 

• Ensure smooth operating cadence and relationship touchpoints with our research ecosystem (e.g., academic collaborators, commissioned research vendors, research grantees, advisory councils)

• Partner with colleagues on Research, Public Policy, Communications, and GTM to organize briefings and campaigns that amplify key research findings

• Support the team lead in setting quarterly research priorities and resource allocation; draft monthly updates to the Policy org and broader company

• Help the team effectively grow and onboard by supporting with recruitment, onboarding, and team integration, as needed (e.g., filtering resumes, revamping onboarding materials, planning team offsites)

• Create and manage Economic Research engagement calendars to ensure strategic alignment with our policy objectives and optimal use of leadership time. Support researcher engagements at high-touch events and summits

• Maintain key information repositories that compile and organize our research results

You may be a good fit if you:

• Have a 5+ year track record managing and delivering on business-critical, cross-functional initiatives

• Have ability to quickly gain state on technical domains and “know enough” to be effective, without being a subject matter expert

• Are skilled at navigating organizational complexity, building relationships, and influencing without authority 

• Can “see around corners” and anticipate needs when supporting leaders in executing their vision, and ensuring they have the necessary resources and information to succeed

• Are highly organized with the ability to prioritize multiple tasks while maintaining a high attention to detail

• Are passionate about the intersection of frontier AI development, economic research, and policy frameworks

Sample projects:

• Build a living tracker for critical research workstreams (e.g., economic index releases, economic briefs, Anthropic Interviewer) and use it as the source of truth for last steps / next steps on p0 team projects

• Manage contracting and vendor relationships for commissioned research projects, including scoping proposals, coordinating with Legal and Procurement, and tracking deliverables through the research pipeline

• Coordinate cross-functional alignment for a major academic research partnership (e.g., an RCT studying AI adoption in firms), ensuring the right stakeholders across GTM, Product, Policy, and Comms are involved and aligned on scope, data access, and publication strategy

• Work backward from a policy campaign or research publication deadline to organize research milestones and deliverables (i.e., coordinating an Economic Index release with our Comms team)

• Support operations for research grantmaking programs, including managing application review processes, coordinating with grant recipients on contracting, and tracking disbursement and reporting timelines

• Work across the Policy org, Communications, and with executive teams to organize and plan Research presence at key external events and convenings — for example, agenda, objectives, scheduling, and logistics for an Economic Index campaign or research showcase

• Build Economic Research onboarding documentation and curriculum to support team growth; better surface key artifacts and content (as is allowable) to the broader company, for those who are interested in keeping up-to-date with Research progress

The Figma Research team is hiring a top-tier researcher to support our core product, Figma Design, and actively develop and execute research to drive scale, tap new opportunities, and ensure Figma continues pushing innovation in design and production tooling. Because Figma Design is used by so many of the top tier software companies around the world, you will be uniquely positioned to advance the state of how product development works across the entire industry.

The ideal candidate brings a deep passion for research and strategy, raising the bar with AI led experiences, and laddering key user needs to critical product decisions and broader business impact. Partnering with Product, Design, and Engineering, you will tackle our highest impact problems, influencing company strategy for both the short and long term.

This is a full time role that can be held from one of our US hubs or remotely in the United States.

What you’ll do at Figma:

• Help Figma grow and innovate by delivering strategic research and recommendations and materially influencing the vision and strategy for Figma Design 
• Partner closely with product leaders to find opportunities, generate strategy, and define success
• Break down complex business challenges into clear research plans; lead the end to end research process and demonstrate strong storytelling skills to deliver significant impact to Figma’s businesses
• Harness your product mindset and storytelling chops to influence product roadmap
• Advocate for the role of Research as a strategic partner in the business process

About the Role

The Veeam Monetization Strategy team is looking for a star performer to help accelerate growth and improve go-to-market strategy across our Resilience and AI security portfolio.  The Director will collaborate with leaders in our marketing, sales, and product organizations to help craft new business/economic models, define monetization strategies for new offerings, optimize packaging & pricing for existing offers, and develop global processes to ensure successful pricing execution.

If you’re excited by driving growth through global, cross-channel and cross-product initiatives and want to be part of a rapidly expanding company that is redefining how professionals succeed, Veeam would love to talk to you. Be a part of a world class team that’s using monetization as a strategic lever to drive sustainable growth globally and attain strategic outcomes for Veeam

What You’ll Do

• Innovate and develop go-to-market monetization strategies inclusive of economic model design
• Identify & prioritize opportunities to drive customer value, penetration, & bookings
• Understand and advise on implications of decision on overall economic model vision and strategic outcomes
• Help prioritize product roadmaps and determine go-to-market monetization strategy for new offerings
• Align packaging & pricing with customer value and success
• Evolve packaging/pricing models to better align with differing customer needs / value / willingness-to-pay and encourage deeper customer relationships
• Optimize price levels based on value/willingness-to-pay, competition, and go-to-market strategy
• Advise on improving pricing processes, insights, and performance measurement
• Review and advise process foundations to improve governance, execution, market validation, & decision making
• Measure and track pricing performance to enable continuous improvements
• Team with a diverse cross-functional group of marketing, product and sales experts to bring industry leading solutions to market
• Conduct hypothesis-driven analyses to identify and quantify monetization / packaging opportunities
• Scope, structure, and execute upon strategic monetization initiatives to accelerate business growth
• Build analytical models to inform and influence monetization and economic model strategy
• Drive voice of customer interviews and large-scale quantitative customer research
• Work with and advise the Product, Sales, and Marketing leadership to develop and refine solutions, build consensus, and steer senior-level decision making
• Design testing and implementation plans to support global rollout of new packaging and monetization initiatives
• Communicate key insights to cross-functional stakeholders and senior leaders
• Extract and synthesize key results and prioritize for communication
• Transform findings into actionable recommendations

What You’ll Bring

• At least 10 years of experience in management consulting, and/or business strategy roles
• Experience with pricing or go-to-market strategy in the technology space
• BA/BS Degree
• Highly quantitative and data-driven with experience using hypothesis and data-driven analyses to solve large, complex business problems and quantify business opportunities.
• Leadership skills: Ability to inspire cross-functional partners and drive decision making among senior executives.
• Monetization strategy expertise: Demonstrated experience in monetization strategy and pricing/packaging optimization, preferably in SaaS / Software / Internet businesses
• Marketing strategy skills.  Ability to understand customer needs/perceived value, drive customer value creation, and develop go-to-market strategies to accelerate growth.
• Experienced researcher. Expertise with research methodologies and data analytics to support pricing strategies
• Communication skills. Able to communicate effectively both written and verbally
• Commitment: Ability to drive key initiatives to successful outcomes in a fast-paced, entrepreneurial environment
• This position is remote; with leadership based in the Seattle and San Jose area.

#LI-TS1 #remote

About the Role

We're looking for a Staff Software Engineer to set technical direction at the intersection of engineering and research on the Claude Code team. In this role, you'll partner directly with Anthropic's researchers and engineering leadership to shape how we measure, understand, and improve Claude's coding capabilities. You'll architect the systems, tooling, and evaluation infrastructure that determine how quickly our research can move—and you'll be accountable for the technical decisions that ripple across the team and beyond. This is a senior individual contributor role for someone who has already built and owned systems at significant scale, and who is ready to operate as a technical leader: driving architecture, mentoring engineers, and influencing the direction of Claude Code itself.

Responsibilities

• Set technical direction for evaluation systems, research infrastructure, and internal tooling across the Claude Code team

• Architect eval frameworks that measure model capabilities across diverse coding tasks and scale with our research roadmap

• Lead the design of infrastructure that enables researchers to run experiments at scale, and make the foundational tradeoffs that shape how the team operates for years

• Identify the highest-leverage engineering investments—often before anyone has asked for them—and drive them to completion

• Serve as a senior technical bridge between product and research, using strong product intuition to influence which capabilities we prioritize and how we measure progress against them

• Mentor and raise the bar for other engineers on the team; review designs, unblock peers, and model the engineering standards we want to scale

• Partner with research leads to translate ambiguous research questions into durable engineering solutions

• Own critical systems end-to-end, from architecture through production reliability, and take responsibility for their long-term health

You may be a good fit if you:

• Have 10+ years of software engineering experience, with a track record of operating as a Staff or Principal engineer (or equivalent) at a high-caliber organization

• Have architected and owned complex, high-stakes systems—pipelines, infrastructure, or platforms that orchestrate many components, handle significant state and logic, and serve multiple teams

• Have a history of setting technical direction that others follow—through design docs, architectural decisions, or technical strategy that shaped how a team or org operates

• Thrive in high-intensity environments with fast iteration cycles, and have the judgment to know when to move fast and when to invest in durability

• Take full ownership of ambiguous, open-ended problems and drive them to completion with minimal direction

• Are a power user of agentic coding tools with deep intuition about model capabilities and limitations

• Can dive into unfamiliar technical domains—ML systems, research workflows, novel infrastructure—and get to the frontier quickly

• Care deeply about correctness and reliability, and have raised engineering standards on teams you've been part of

• Are energized by working at the boundary between engineering and AI research, and by the prospect of influencing both

Strong candidates may also have experience with:

• Designing or scaling eval/evaluation frameworks for ML systems

• Reinforcement learning infrastructure or training systems

• Leading technical initiatives in high-performance, demanding environments—trading firms, quant funds, frontier research labs, or fast-moving startups where intensity and technical excellence are the norm

• Research computing, scientific infrastructure, or developer platforms at scale

• A strong quantitative foundation (math, physics, or related fields) 

• Expertise in Python and TypeScript

About Haize Labs

Today’s AI has a jagged intelligence surface. It is superhuman on well-defined benchmarks like the International Math Olympiad, but falls short in many real world domains.

Haize Labs brings superintelligence to the long tail of these domains through our agent foundry, which enables agent performance at parity with or better than domain experts.

Our agents are being deployed across many, many verticals. We are hiring an Applied Researcher to 1) turn companies into environments, 2) RL on these environments, and 3) rapidly scale and refine our products in existing verticals. This role spans research (RL, environment design, reward modeling), engineering (building, debugging, evaluating agents), and customer management (scoping, planning, relationship-building).

In this role, you will:

• Push the pareto frontier of model capabilities
• Rapidly synthesize RL environments and reward functions / models
• Fine-tune agents to hillclimb almost any task in any business you can imagine
• Develop the research platform—observability, evaluation, custom reward models, simulation testing—connecting domain experts to models

You are a great fit if you:

• Love research, but also love engineering and making money
• Have a knack for probing model capabilities (e.g. benchmark papers)
• Want to bring intelligence to real people doing real work in the real world, not just Silicon Valley SaaS companies

Ideal candidates likely:

• Have spent both time in a lab and in startup land
• Contribute to popular research frameworks (e.g. Prime-RL, Verl, Harbor, etc.)
• Spend their free time thinking about where AI is headed, and how to shape its capabilities

About Descript

Descript is an intuitive, AI-powered, collaborative, all-in-one video platform that makes it easy for anyone to create, edit, and share a video. Our goal is to make video editing easy enough for everyone on your team, and powerful enough for your video team.

We’re a product-led, customer-centric company that values craft, speed, and clear thinking. User research plays a central role — not just in understanding users, but in helping teams build better product intuition and ultimate better products for our customers.

About the role

We’re hiring a lead UX researcher to shape product decisions and how we practice user research across Descript.

You’ll operate as a senior IC, owning ambiguous problem spaces end-to-end, while also helping teams get closer to users through better tools, systems, and habits. This includes foundational and ethnographic research, improving how we synthesize and share insights, and enabling PMs and designers to run high-quality research themselves.

Descript serves a wide range of creators and enterprises with different workflows and goals. This role is key to helping us deeply understand those users, and ensure that understanding consistently drives product decisions.

If you’re excited about being part of a customer-obsessed culture, owning high-impact research and scaling its influence across a product org, we’d love to talk.

What you’ll do

Drive UX and product research

• Lead end-to-end UX research studies across large, ambiguous problem spaces
• Identify key unknowns and define the most appropriate research questions and methods to inform product decisions
• Conduct exploratory, evaluative, and longitudinal research (e.g. ethnography, usability, concept testing)
• Partner closely with PMs, designers, and product marketing, as well as data science, customer support, sales, and engineering, to ensure research is connected to both product decisions and real user feedback loops

Understand users and shape product direction

• Develop a deep understanding of our customers, their creative goals, and the evolving AI video landscape — and use those insights to guide the product roadmap
• Study how people create content, both inside and outside of using Descript — map and maintain a library of workflows, mental models, and friction points across users and use cases
• Synthesize findings into clear, actionable outputs that drive decisions (e.g. frameworks, highlight reels, journey maps)

Scale UX research across the organization

• Coach PMs and designers to plan and run their own research, and increase the number of teams able to run high-quality research independently
• Manage research operations systems, automating where possible, for participant recruitment, feedback management, and insight sharing
• Introduce new methods, tools, and rituals to improve how research is conducted, managed and shared
• Find creative and pragmatic ways to bring employees closer to the voice of the customer
• Host and manage programming for Insight Safari — a company-wide casual weekly gathering where we watch and discuss minimally edited user research footage together

Who you are

Experience

• 5+ years of UX research experience
• Experience working closely with product and design teams (not purely agency role)
• Experience building out a collaborative research practice within a product org, where you’ve used your expertise to mentor or train others in how to conduct high-quality user research
• Experience building out and maintaining research operation systems for managing study participation, feedback, research recordings, and the insights gleaned from that research
• Track record of concretely influencing product and strategic decisions
• Ability to scale a research practice using AI tools while maintaining the integrity of the research

Skills

• Strong across both quantitative and qualitative UX research methods: your toolbox contains various tools to get to the most actionable insights (e.g., facilitating 1:1 calls with customers, conducting unmoderated research studies, short & long-form surveys, mining sales & support data, engaging with online communities)
• Excellent synthesis and storytelling from complex info and data
• Strong product sense and ability to turn noisy insights to clear, actionable decisions
• Strong organizational skills, with a drive to ensure research data is well-catalogued for easy future access
• Ability to operate with high autonomy for a wide range of activities, from research coordination to facilitation and synthesis, while balancing rigor with speed

The base salary range for this role is $166,000-225,000/year. Final offer amounts will carefully consider multiple factors, including prior experience, expertise, and location, and they may vary from the amount above.  

#LI-Remote

When applying, please put the word "analog" as the first word in your cover letter.

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About the role

As the Vendor and Contract Manager on the Safeguards team, you will own the end-to-end lifecycle of Anthropic's safety-critical vendor, partner, and consultant relationships — from identifying and selecting vendors through contract negotiation, onboarding, ongoing performance management, and renewal. The vendors and partners you'll manage span verification, threat intelligence, process outsourcing, capability evaluation, civil society consultation, and research collaboration.

You'll build repeatable processes where they're needed while staying nimble enough to handle novel partnership structures, like research collaborations, civil society consultations, and model red-teaming engagements that don't fit neatly into standard procurement workflows. You'll work closely with legal, procurement, finance, and engineering teams, and you'll be the person who knows where every Safeguards contract stands, what we're spending, and where we should consider a change.

This is a role for someone who's comfortable operating across commercial, legal, and technical contexts in a fast-moving environment — someone who can negotiate contract terms, work with legal teams to redline contracts,  set up model access for a research partner, and handle a vendor performance issue in one day.

*Important context for this role: In this position you may be exposed to and engage with explicit content spanning a range of topics, including those of a sexual, violent, or psychologically disturbing nature.

Responsibilities:

Vendor Selection & Onboarding

• Understand the broad vendor landscape for Safeguards and drive vendor selection processes with expert input, factoring in tradeoffs between capability, price, and internal resources across categories including verification, threat intelligence, process outsourcing, and capability evaluation
• Conduct vendor due diligence and coordinate security and data governance reviews for vendors handling sensitive model access or content
• Forecast future partnership needs and proactively research vendors and partners that could meet emerging Safeguards requirements

Contract & Budget Management

• Manage contracts across the Safeguards vendor and partner portfolio, working with legal and procurement teams on contract redlining, negotiation, and execution
• Work with legal teams and potential research partners to develop novel agreements for research collaboration, civil society consultation, and model red-teaming
• Handle invoicing, payment, and renewal processes with partners
• Own Safeguards vendor budget tracking and planning in partnership with finance teams, maintaining a clear picture of current spend and forecasting future needs

Ongoing Vendor & Partner Management

• Manage vendor and researcher access to models and products during testing phases and trials
• Oversee and monitor vendor performance and usage, flagging issues and resolving concerns and disputes as they arise
• Report on vendor performance, spend, and contract status to Safeguards leadership

You may be a good fit if you have:

• 5+ years in vendor management, procurement, or contract operations, ideally in risk, fraud, compliance, or trust & safety contexts at a technology company
• Demonstrated experience reviewing and negotiating contracts, including comfort with redlining and working alongside legal counsel
• Track record managing vendor budgets, including forecasting, tracking spend, and making tradeoff recommendations
• Understanding of AI safety, account abuse, or platform integrity issues — you know what verification vendors, threat intelligence providers, and content screening tools actually do
• Experience onboarding vendors and standing up new vendor relationships from scratch, not just managing existing ones
• Strong cross-functional collaboration skills, particularly with legal, procurement, finance, and engineering teams
• Comfort with ambiguity and fast-moving environments — you've built or significantly improved vendor management processes, not just inherited them

Nice to have:

• Experience in AI safety or AI-adjacent vendor ecosystems
• Familiarity with procurement tools such as Ironclad or Zip

About the role

As a Safeguards Policy Design Manager, you will be responsible for developing usage policies, clarifying enforcement guidelines, and advising on safety interventions for our products and services. Your core focus will be on age-appropriate design and experiences, including child safety, age assurance, content classification, and adult sexual content. You will help define best practices for developers building on claude for deployment to users across different developmental stages, design age-assurance policies that protect minors from inappropriate content and interactions, and establish clear boundaries for adult content and experiences. In addition, you will advise teams on opportunities for age-appropriate helpfulness, including advising cross-functional teams on beneficial use cases for younger users where appropriate. Safety is core to our mission and you’ll help shape policy creation and development so that our users can safely interact with and build on top of our products in a harmless, helpful and honest way.

*Important context for this role: In this position you may be exposed to and engage with explicit content spanning a range of topics, including those of a sexual, violent, or psychologically disturbing nature.

Responsibilities:

• Serve as an internal subject matter expert, leveraging deep expertise in child safety, adult content, youth development, and age-appropriate design to:

  • Draft new policies that help govern the responsible use of our models for emerging capabilities and use cases

  • Design evaluation frameworks for testing model performance in areas of expertise

• Conduct regular reviews and testing of existing policies to identify and address gaps and ambiguities

• Review flagged content to drive enforcement and policy improvements

• Update our usage policies based on feedback collected from external experts, our enforcement team, and edge cases that you will review

• Work with safeguards product teams to identify and mitigate concerns, and collaborate on designing appropriate interventions for users across different age groups

• Advise on age assurance approaches and content classification frameworks in partnership with Enforcement, Product, Engineering, and Legal teams

• Educate and align internal stakeholders around our policies and our approach to safety in your focus area(s)

• Keep up to date with new and existing AI policy norms, regulatory requirements (e.g., age-appropriate design codes), and industry standards, and use these to inform our decision-making on policy areas

You may be a good fit if you have experience:

• As a researcher, subject matter expert, or trust & safety professional working in one or more of the following focus areas: child safety, youth online safety, age assurance, developmental science, content classification and rating systems, or adult content policy. Note: For this role, an advanced degree in developmental psychology, child development, education, or a related field is preferred.

• Drafting or updating product and / or user policies, with the ability to effectively bridge technical and policy discussions

• Designing or implementing age-appropriate experiences, age assurance mechanisms, or content classification / labeling systems

• Working with generative AI products, including writing effective prompts for policy evaluations and classifier development

• Aligning product policy decisions between diverse sets of stakeholders, such as Product, Engineering, Public Policy, and Legal teams

• Understanding the challenges that exist in developing and implementing product policies at scale, including in the content moderation space

• Thinking creatively about the risks and benefits of new technologies, and leveraging data and research to inform policy recommendations

• Navigating and prioritizing work efforts amidst ambiguity

About the role

We believe skill with AI is fundamental to human agency. Education Labs builds the paradigms that help people become genuinely more capable—not just more engaged.

This is a new kind of role: part researcher, part product builder, part interaction designer. You'll be the second technical builder on a small team studying how AI transforms human capability—and shipping features based on what we discover. You'll have significant creative license to define what "good" looks like, exploring new interaction patterns rather than optimizing existing ones.

We're skeptical of tutorials, onboarding flows, and engagement metrics. We care about experiences that make users progressively more capable, curious, and empowered over time. This means integrating skill development into product design, using Claude itself as a capability-building partner, and measuring success by how users actually grow.

You'll operate as a one-person technical shop: prototyping new ideas, establishing technical direction, and shipping production-quality features to millions of users. You'll need strong product instincts and clean interface design sensibilities, balanced with comfort in ambiguity and frontier thinking.

Responsibilities:

• Ship features that help users develop real skill with AI—measuring success by capability growth, not time-on-site

• Architect end-to-end prototypes (front-end and back-end) that test new interaction paradigms, with particular attention to the front-of-the-frontend: motion, polish, and interaction feel

• Define technical direction for the team—establish patterns others can follow

• Build relationships across Product, Design, and Research to influence how skill development principles shape Anthropic's broader product strategy

• Shape team strategy and roadmap—identify the highest-leverage opportunities and build conviction across stakeholders

• Translate research insights about skill development and human-AI collaboration into shipped product through close collaboration with researchers

• Document and share your work through clear writing, prototypes, and presentations that influence thinking across the organization

You may be a good fit if you have:

Strong full-stack engineering with design sensibility

• 6+ years building and shipping web products, with deep expertise across the stack

• Strong front-end craft: TypeScript/JavaScript, React, CSS—with an eye for interaction design, motion, and visual detail

• Solid back-end and data pipeline experience: Python, API design, analytics infrastructure

• A portfolio showcasing innovative interaction designs and high-quality implementations

• Track record of independently driving features from prototype to production

Deep conviction about human capability

• Strong perspective on how technology should enhance human capabilities rather than diminish them

• Experience or genuine passion for skill development, HCI, developer tools, or products that help people become more capable

• Skepticism of purely engagement-driven metrics; interest in measuring capability outcomes

Research mindset with product execution

• Comfort with ambiguity and exploring undefined problem spaces

• Ability to rapidly prototype, test with users, and iterate toward production

• Strong instincts for product design and user experience, even without formal design training

Strategic leadership and coalition building

• Experience setting vision, shaping team strategy, and building conviction across cross-functional stakeholders

• Ability to build productive relationships with Product, Design, Research, and Engineering teams—especially when your team isn't the owner

• Strong sense of prioritization—knowing what to build now, what to defer, and what to cut

• Track record of influencing roadmaps and decisions beyond your immediate team

Strong candidates may also have:

• Experience in developer tools, creative tools, learning platforms, or other products where user skill development and mastery matter more than time-on-site

• Background in learning sciences, cognitive science, HCI, skill acquisition research, or educational psychology (formal or self-directed)

• Experience with experimentation frameworks, A/B testing, or analytics that measure capability development in production

• Previous experience in research labs, frontier tech companies, or startups with high autonomy and ambiguity

• Published writing, talks, or open-source work on skill development, human-AI interaction, or product philosophy

• Experience building AI-native product experiences or working with LLMs in production contexts

Strong candidates may also have

• Background in learning sciences, cognitive science, HCI, or educational psychology

• Experience in developer tools, creative tools, or learning platforms where mastery matters more than engagement

• Published writing, talks, or open-source work on skill development or human-AI interaction

• Experience building AI-native product experiences or working with LLMs in production

What this role is not

This is a hands-on technical role building product features, embedded within a research team. You'll provide technical guidance and help set direction, but this role doesn't involve people management off the bat. If you're looking to immediately transition into engineering management or lead a large team, this likely isn't the right fit.

The Role

We're hiring an Associate to join our investing team, focusing on early-stage opportunities across data infrastructure, AI infrastructure, and developer tools. You will work directly with Lauri Moore and collaborate with the broader Bessemer investment team to find and back the technical founders building the foundational layers of the next era of software.

Seed investing is a ground game. The most compelling opportunities at the earliest stages don't come from inbound decks — they come from being deeply embedded in the communities where builders and researchers spend their time. We're looking for someone who is energized by that work: showing up to meetups and happy hours, staying close to technical friends across the ecosystem, and building the kind of authentic relationships that mean founders call you first.

This is a role for someone who thinks independently, acts with urgency, and brings a point of view. Seed requires an optimist — you need to see what a company could become, not just what it is today. But conviction without rigor is just enthusiasm. You also need to dig deep, ask hard questions, and build a thesis before we commit capital.

You don't need an investing background. We'll teach you that. What you do need is a strong technical foundation, curiosity, and the kind of social instincts that make people want to spend time with you.

Key Responsibilities

• Be in the mix. You genuinely care about what people are building in data and AI infrastructure, and you stay close to the communities where that work happens — meetups, Discord servers, university lab demos, the dinner after the meetup. You build real relationships with engineers, researchers, and founders because you find their work fascinating. When they're ready to start something, you're already someone they want to talk to about it.
• Source with conviction. You proactively find the companies and founders we should be paying attention to — through your network, your research, and your own technical intuition. The best sourcing doesn't come from scanning pitch databases; it comes from pattern-matching across conversations, following a technical thread to its logical conclusion, and having the confidence to bring something to the team that nobody else is seeing yet.
• Develop investment theses. You go deep on emerging technical domains — new compute paradigms, the evolution of the data stack, AI-native developer workflows, inference infrastructure, and beyond. You create and refine Roadmaps that guide where we focus and how we allocate time. Your research sharpens the team's conviction and helps us see around corners.
• Lead diligence. You drive end-to-end due diligence on prospective investments: technical architecture reviews, customer and user interviews, competitive mapping, financial analysis, and reference calls. You synthesize your findings into clear investment recommendations and are expected to form and defend your own view.
• Support the portfolio. You help portfolio companies with what matters most in the early days: hiring key engineers, making strategic introductions, thinking through technical architecture decisions, and preparing for follow-on fundraises. You attend board meetings and are a resource founders want to call.
• Be a great teammate. You collaborate across teams — sharing context from your infrastructure work that helps an investor focused on a vertical see a new opportunity, jumping in to help a colleague with a key introduction, or connecting dots between portfolio companies. You are generous with your time and ideas, and you make the people around you better.

What You’ll Bring

• A technical backbone. Whether through a CS degree, a PhD in ML, years as a software engineer, time as a data scientist, or experience as a technical founder — you bring real fluency in how software systems are built. You can evaluate a technical architecture, understand trade-offs in system design, and hold your own in conversation with the best engineers in the world. This is a must.
• Natural social instincts. You don't network transactionally — you build real friendships across the ecosystem. You're the kind of person who goes to the happy hour, who texts a founder to check in on launch day, who remembers what someone's working on and connects them with the right person. Community building isn't a task for you — it's how you operate. This is also a must.
• Independent thinking. You form your own opinions, even when they're contrarian. You don't wait for permission to pursue an idea. When you see something interesting, you run it down. You're comfortable being wrong and you learn fast.
• Optimism with depth. You get excited by what's possible at the frontier of technology. But you pair that excitement with intellectual honesty — you dig into the details, pressure-test assumptions, and aren't afraid to surface uncomfortable truths during a diligence process. You want to be right, not just first.
• AI fluency. You are constantly using, experimenting with, and forming opinions on the latest AI products, models, and tools. You follow the research, you know the builders, and you have a point of view on where things are headed.
• Experience: 2–5+ years of professional experience in a technical role — as a software engineer, ML/AI researcher, data scientist, technical product manager, or founder. Zero investing experience is completely fine — some of the best investors started as engineers and founders, not finance people. What matters is that you're eager to learn the craft, and we're committed to teaching you. We care far more about your technical depth and your ability to build relationships than your familiarity with term sheets.
• Location: Based in the San Francisco Bay Area. You need to be wherever you need to be - that might be in the office, it might be at a coffee shop or taking a hike with a prospective founder, but it’s unlikely to be sitting at home on your couch. 

Why Bessemer?

Compensation & Performance Bonuses:

• Annual Salary: The base salary for this position is $175,000–$175,000 per year, determined based on your experience and qualifications.
• Annual Performance Bonuses: Eligible employees receive annual performance bonuses based on both individual and company performance.
• Shadow Carry: Opportunity to participate in the firm’s carry structure and share in the long-term success of our investments.

Equity & Investment Opportunities:

• Co-investment Opportunity: Opportunities to co-invest in deals alongside the firm.
• Retirement Plan: Access to a competitive retirement savings plan, including a 401(k) plan. 

Health & Wellness Benefits:

• Generous Healthcare Benefits: Comprehensive medical, dental, and vision insurance.
• Life Insurance & Disability Insurance Policies: Coverage to provide peace of mind for you and your family.
• Health & Wellness Programs: A variety of programs to support your physical and mental well-being including a family planning allowance via Carrot. 

Work-Life Balance & Paid Time Off:

• Unlimited PTO & Company Holidays: Unlimited paid time off with manager approval plus company holidays to ensure a healthy work-life balance.
• Parental Leave Support from Cocoon: Access to resources and assistance during your parental leave.
• Work from Home Allowance: Financial support for creating a productive home office environment.
• In-Office Perks: Provided lunches, snacks, and beverage options. Business casual attire. 

Professional Development & Mentorship:

• Learning & Development Stipend: An annual stipend to invest in courses, conferences, and other professional development opportunities.
• 1:1 Mentorship: Personalized mentorship from a member of the investment team to guide your career growth.
• Continuous Training Sessions: Regular opportunities for training and learning and development led by experts to enhance your skills.

How to Apply

Interested in joining our team? Please complete the application below. We look forward to reviewing your application and learning more about how you can contribute to Bessemer. 

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Bessemer Venture Partners is an equal opportunity employer and makes all employment decisions based on individual qualifications, business needs, applicable law, and our company values. We are dedicated to maintaining a workplace rooted in curiosity, empowerment, collaboration, intellectual honesty, and ongoing learning and mentorship. We welcome applicants from all backgrounds and strive to create an environment where every team member is valued and supported to do their best work.}

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_{Bessemer Venture Partners will consider qualified applicants with arrest or conviction records for employment in accordance with the California Fair Chance Act, the San Francisco Fair Chance Ordinance, and other applicable law. A background check will only be conducted after a conditional offer of employment has been made.}

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We are looking for a recent graduate to join IMC as a Graduate Floor Trader. IMC is a high frequency trading firm and we have a strong trading presence in the broker market on the trading floor. As a Graduate Floor Trader, you will be assigned to one of the many EO options trading floors in the U.S., where you will actively respond to quotes in the open outcry broker market. We’re seeking someone who loves participating in markets and has superior analytical, mathematical, and computing skills. As a graduate floor trader your decisions have a direct impact on IMC’s trading strategies.

Your Core Responsibilities: 

• Work in a team of broker and screen traders to optimize trading
• Interact with brokers throughout the day, making markets and providing liquidity
• Build and maintain relationships with brokers
• Perform trades analysis to improve trading
• Develop, maintain, and enhance trading models, algorithms, systems, and positional risk
• Research new market opportunities   

Your Skills and Experience: 

• Recent university graduate or current university student graduating between May 2025 and July 2026 with a degree in finance, economics, mathematics or related field of study
• Superior numerical, analytical, and problem-solving skills
• Genuine interest in financial markets, though no prior knowledge or experience required
• Ability to work successfully in a fast-moving and competitive environment
• Experience with programming in Python is and advantage
• A team player – at IMC we’re all in together
• Eagerness to continuously learn
• Open to travel within the US to support IMC across multiple exchanges   
• Must be available to start full-time employment in August 2026

The Base Salary range for the role is included below. Base salary is only one component of total compensation; all full-time, permanent positions are eligible for a discretionary bonus and benefits, including paid leave and insurance. Please visit Benefits - US | IMC Trading for more comprehensive information.

Base Salary: $200,000 USD

Please note that immigration sponsorship is not offered for this specific opening.

About the role

Anthropic's research teams are pushing the boundaries of AI safety and capability research, and they need exceptional tools to do their best work. As a Software Engineer on the Research Tools team, you'll build the infrastructure and applications that enable our researchers to iterate quickly, run complex experiments, and extract insights from frontier AI systems.

This role sits at the intersection of product thinking and full-stack engineering. You'll work directly with researchers and engineers to deeply understand their workflows, identify bottlenecks, and rapidly ship solutions that multiply their productivity. Whether you're building human feedback interfaces for model evaluation, creating platforms for experiment orchestration, or developing novel visualization tools for understanding model behavior, your work will directly accelerate our mission to build safe, reliable AI systems.

We're looking for someone who can operate with high agency in an ambiguous environment—someone who can be dropped into a research team, quickly develop domain expertise, and independently drive impactful projects from conception to delivery.

No ML or Research experience is required

Responsibilities

• Build and maintain full-stack applications and infrastructure that researchers use daily to conduct experiments, collect feedback, and analyze results

• Partner closely with research teams to understand their workflows, pain points, and requirements, translating these into technical solutions

• Design intuitive interfaces and abstractions that make complex research tasks accessible and efficient

• Create reusable platforms and tools that accelerate the development of new research applications

• Rapidly prototype and iterate on solutions, gathering feedback from users and refining based on real-world usage

• Take ownership of complete product areas, from understanding user needs through design, implementation, and ongoing iteration

• Contribute to technical strategy and architectural decisions for research tooling

• Mentor other engineers and help establish best practices for research application development

You may be a good fit if you

• Have 5+ years of software engineering experience with a strong focus on full-stack development

• Excel at rapid iteration and shipping—you can move from concept to working prototype quickly

• Have experience building tools, platforms, or infrastructure for technical users (engineers, researchers, data scientists, analysts, etc.)

• Demonstrate high agency and ability to operate independently in ambiguous environments

• Can quickly develop deep understanding of complex technical domains

• Have strong product instincts and can identify the right problems to solve

• Are proficient with modern web technologies (React, TypeScript, Python, etc.)

• Have a track record of building user-facing applications that are actually used and loved by their target audience

• Communicate effectively with both technical and non-technical stakeholders

• Care about the societal impacts of your work and are motivated by Anthropic's mission

Strong candidates may also have

• Experience building research tools, scientific software, or experimentation platforms

• Background in machine learning, AI research, or working closely with ML researchers

• Founded or been an early engineer at a startup, particularly one focused on developer or researcher tools

• Built open-source tools or platforms with active user communities

• Experience with data visualization, interactive interfaces, or novel interaction paradigms

• Contributed to engineering platforms or internal tooling at scale (similar to Heroku, Vercel, or other platform-as-a-service products)

• Experience leveraging AI/LLMs to build more powerful or efficient tools

• Previous work in creative tools, artist tools, or other domains requiring deep user empathy

• Domain knowledge in areas like human-computer interaction, systems safety, or AI alignment

Representative projects

• Building interfaces for collecting and managing human feedback on model outputs at scale

• Creating experiment orchestration platforms that make it easy to launch, monitor, and analyze complex research runs

• Developing visualization tools that help researchers understand model behavior and identify failure modes

• Designing reusable components and frameworks that enable rapid development of new research applications

• Building sandboxed execution environments for safely running AI-generated code

Anthropic’s Audio team pushes the boundaries of what's possible with audio with large language models. We care about making safe, steerable, reliable systems that can understand and generate speech and audio, prioritizing not only naturalness but also steerability and robustness. As a researcher on the Audio team, you'll work across the full stack of audio ML, developing audio codecs and representations, sourcing and synthesizing high quality audio data, training large-scale speech language models and large audio diffusion models, and developing novel architectures for incorporating continuous signals into LLMs.

Our team focuses primarily but not exclusively on speech, building advanced steerable systems spanning end-to-end conversational systems, speech and audio understanding models, and speech synthesis capabilities. The team works closely with many collaborators across pretraining, finetuning, reinforcement learning, production inference, and product to get advanced audio technologies from early research to high impact real-world deployments.

You may be a good fit if you:

• Have hands-on experience with training audio models, whether that's conversational speech-to-speech, speech translation, speech recognition, text-to-speech, diarization, codecs, or generative audio models
• Genuinely enjoy both research and engineering work, and you'd describe your ideal split as roughly 50/50 rather than heavily weighted toward one or the other
• Are comfortable working across abstraction levels, from signal processing fundamentals to large-scale model training and inference optimization
• Have deep expertise with JAX, PyTorch, or large-scale distributed training, and can debug performance issues across the full stack
• Thrive in fast-moving environments where the most important problem might shift as we learn more about what works
• Communicate clearly and collaborate effectively; audio touches many parts of our systems, so you'll work closely with teams across the company
• Are passionate about building conversational AI that feels natural, steerable, and safe
• Care about the societal impacts of voice AI and want to help shape how these systems are developed responsibly

Strong candidates may also have experience with:

• Large language model pretraining and finetuning
• Training diffusion models for image and audio generation
• Reinforcement learning for large language models and diffusion models
• End-to-end system optimization, from performance benchmarking to kernel optimization
• GPUs, Kubernetes, PyTorch, or distributed training infrastructure

Representative projects:

• Training state-of-the art neural audio codecs for 48 kHz stereo audio
• Developing novel algorithms for diffusion pretraining and reinforcement learning
• Scaling audio datasets to millions of hours of high quality audio
• Creating robust evaluation methodologies for hard-to-measure qualities such as naturalness or expressiveness
• Studying training dynamics of mixed audio-text language models
• Optimizing latency and inference throughput for deployed streaming audio systems

About the Role:

Anthropic's ML Performance and Scaling team trains our production pretrained models, work that directly shapes the company's future and our mission to build safe, beneficial AI systems. As a Research Engineer on this team, you'll ensure our frontier models train reliably, efficiently, and at scale. This is demanding, high-impact work that requires both deep technical expertise and a genuine passion for the craft of large-scale ML systems.

This role lives at the boundary between research and engineering. You'll work across our entire production training stack: performance optimization, hardware debugging, experimental design, and launch coordination. During launches, the team works in tight lockstep, responding to production issues that can't wait for tomorrow.

Responsibilities: 

• Own critical aspects of our production pretraining pipeline, including model operations, performance optimization, observability, and reliability
• Debug and resolve complex issues across the full stack—from hardware errors and networking to training dynamics and evaluation infrastructure
• Design and run experiments to improve training efficiency, reduce step time, increase uptime, and enhance model performance
• Respond to on-call incidents during model launches, diagnosing problems quickly and coordinating solutions across teams
• Build and maintain production logging, monitoring dashboards, and evaluation infrastructure
• Add new capabilities to the training codebase, such as long context support or novel architectures
• Collaborate closely with teammates across SF and London, as well as with Tokens, Architectures, and Systems teams
• Contribute to the team's institutional knowledge by documenting systems, debugging approaches, and lessons learned

You May Be a Good Fit If You:

• Have hands-on experience training large language models, or deep expertise with JAX, TPU, PyTorch, or large-scale distributed systems
• Genuinely enjoy both research and engineering work—you'd describe your ideal split as roughly 50/50 rather than heavily weighted toward one or the other
• Are excited about being on-call for production systems, working long days during launches, and solving hard problems under pressure
• Thrive when working on whatever is most impactful, even if that changes day-to-day based on what the production model needs
• Excel at debugging complex, ambiguous problems across multiple layers of the stack
• Communicate clearly and collaborate effectively, especially when coordinating across time zones or during high-stress incidents
• Are passionate about the work itself and want to refine your craft as a research engineer
• Care about the societal impacts of AI and responsible scaling

Strong Candidates May Also Have: 

• Previous experience training LLM’s or working extensively with JAX/TPU, PyTorch, or other ML frameworks at scale
• Contributed to open-source LLM frameworks (e.g., open_lm, llm-foundry, mesh-transformer-jax)
• Published research on model training, scaling laws, or ML systems
• Experience with production ML systems, observability tools, or evaluation infrastructure
• Background as a systems engineer, quant, or in other roles requiring both technical depth and operational excellence

What Makes This Role Unique: 

This is not a typical research engineering role. The work is highly operational—you'll be deeply involved in keeping our production models training smoothly, which means being responsive to incidents, flexible about priorities, and comfortable with uncertainty. During launches, the team often works extended hours and may need to respond to issues on evenings and weekends.

However, this operational intensity comes with extraordinary learning opportunities. You'll gain hands-on experience with some of the largest, most sophisticated training runs in the industry. You'll work alongside world-class researchers and engineers, and the institutional knowledge you build will compound in ways that can't be easily transferred. For people who thrive on this type of work, it's uniquely rewarding.

We're building a close-knit team of people who genuinely care about doing excellent work together. If you're someone who wants to be part of training the models that will define the future of AI—and you're excited about the full reality of what that entails—we'd love to hear from you.

Location:This role requires working in-office 5 days per week in San Francisco. 

Deadline to apply: None. Applications will be reviewed on a rolling basis.