About The Team

The UX Research team includes customers in the development process from early discovery through post-launch. We work with multiple stakeholder teams across the lifecycle to ensure the customer experience is very well balanced with product monetization.

About The Role

Roku is looking for a Researcher to primarily work on customer sentiment surveys conducted in conjunction with product A/B tests, as well as other quantitative research tasks. This role requires collaboration with multiple cross-functional partners, including Product Management, Data Analytics, Engineering, Design, and other researchers. This role provides the opportunity to work on projects that will be seen and enjoyed by millions of customers in a capacity that supports major decision-making on new products and features.

For Massachusetts Only - The estimated annual base salary for this position is between $90,000 - $120,000 annually. Compensation packages are based on factors unique to each candidate, including but not limited to skill set, certifications, and specific geographical location. This role is eligible for health insurance, equity awards, life insurance, disability benefits, parental leave, wellness benefits, and paid time off. 

What You’ll Be Doing

• Developing, planning, and executing research initiatives to understand what impacts product and feature sentiment, most often in the context of experimental A/B tests
• Being an active collaborator on the design of experimental A/B tests
• Working closely with a wide variety of Product Managers, Data Analysts, and others to identify the problems and business goals that your research will address
• Collecting and analyzing user sentiment through surveys, and working with others to combine these findings with behavioral data, to inform product decisions
• Effectively present research insights to diverse stakeholder audiences through written reports and live presentations
• Understand and confidently communicate the strengths and weaknesses of different experimental designs, different research approaches, and the findings of your research studies
• Optimize and automate repetitive research processes to drive efficiency and scale the sentiment survey program
• Additionally, conduct other quantitative research to help Roku better understand the needs, pain points, and experience of customers (potentially involving ongoing tracker surveys)
• Collaborate with fellow world-class user researchers internationally and the Director of UX Research

We’re Excited If You Have

• Proven skills with survey design, quantitative analysis, and experimental designs
• Experience building with AI (Claude Code, CoPilot, or similar)
• Ability to effectively work with the wider business at Roku, such as data analysts and other UX researchers, to incorporate their data into cross-functional reporting and recommendations
• Confidence to make recommendations to experiments being run by others
• Strong communication, presentation, interpersonal, and analytical skills
• Persuasive presentation skills, reporting both qualitative and quantitative data
• Strong project management skills with the ability to define, plan, and execute projects across a wide range of product areas
• Ability to support timely communication and connection across multiple time zones
• Ability to leverage AI to streamline research processes and deliverables
• A passion for researching and understanding people
• 2-3 years of expertise as a consumer researcher in an industry setting
• Bachelor’s or Master’s Degree in related fields, such as Human Computer Interaction, Psychology, Sociology, Anthropology, Market Research

Extra Points If You Have

• Experience with more advanced survey/analysis techniques, such as MaxDiff, Conjoint, etc.
• Experience with qualitative UX research methods, allowing you to work on other project types as needed

#LI-SB5

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 Man Numeric 

Man Numeric is a fundamentally-driven systematic investment manager. It takes a bottom-up approach to research and security selection and distils its findings into systematic processes that are applied across regions, styles and capitalisations. It offers long-only and alternative investment strategies that invest in both equity and credit markets.

The firm’s research-driven culture, which is underpinned by advanced technology and data science techniques, focuses on innovation and enhancement across alpha generation, risk management, portfolio construction and implementation.

Man Numeric has capabilities in systematic responsible investing, offering dedicated quantitative strategies and incorporating proprietary ESG and Climate alpha signals across a diverse range of strategies.

Founded in 1989 and becoming part of Man Group in 2014, Man Numeric’s funds under management were $32.0 billion at 30 June 2022. Further information can be found at www.man.com/numeric.

Role Overview

• Take ownership of day-to-day portfolio management workflows, including validating the implementation of the investment strategies
• Analyze the output of our portfolio construction process to ensure the integrity of our investment philosophy and improve the outcomes
• Identify and champion new alpha and risk management ideas from concept through to implementation
• Design tools for evaluating and improving portfolio implementation and performance
• Drive signal enhancement initiatives in partnership with research teams, and develop independent research ideas with a clear path to production
• Own the analytical narrative for client communications and presentations
• Work across teams within Man Group to solve investment, technical, and operational challenges

• Undergraduate and/or graduate coursework in accounting, finance, statistics, computer science, economics, or mathematics
• Coding experience required, Python preferred
• Solid understanding of accounting and financial statement analysis
• Deep interest in investing and the financial markets
• Ability to communicate complex quantitative concepts clearly to both technical and non-technical audiences
• Demonstrated track record of self-directed projects or research
• Strong sense of integrity

• Exposure to live systematic investment processes managing significant AUM
• Direct interaction and mentorship from senior PMs and the research team
• A culture that rewards initiative and offers strong career development opportunities

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.

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.

Virtu is looking for a detail-oriented quantitative researcher to join our Financial Engineering team in Boston. The emphasis of this position is on the research, development and maintenance of our industry-leading mathematical/statistical products, making them available for our clients.

The successful candidate joins a strong team that conducts trading-related research and development by applying principles of scientific computing and analytical and programming skills using modern state-of-the-art tools and software. The emphasis of this position is on the development, deployment and support of mathematical/statistical models for pre- and post-trade decision support as well as leveraging new technology to simplify QA, streamline model analysis and product support.  

We create actionable products that improve decision-making for equity, fixed income, FX, and other asset classes. Investors around the world have better trading performance because of the work we do every day. From traders to technologists and everyone in between, Virtuans are passionate about innovating, solving problems and making an impact to the bottom line. Our teams set the bar high and strive to provide best-in-class service to institutional investors around the world.

WE’LL TRUST YOU TO:

• Learn and be knowledgeable about our client execution data, analytics and models, lead new improvements and/or initiatives, and handle their support
• Develop re-usable common framework components that expose features of our analytics/model to internal and external clients, including integration of our new models into client-facing platforms
• Work with product managers, consultants and client services teams to understand, prioritize and effectively execute requirements
• Build robust production pipelines and automate validation and QA of new models and their applications
• Conduct critical comparison of alternative data sources and, if necessary, integrate them in the production pipeline
• Maintain and support existing research tools and products as well as audit new technologies and use-cases
• Apply advanced data processing techniques to enhance expert knowledge in measuring and analyzing realized transactions costs of Virtu’s peer clients

 WHAT YOU BRING WITH YOU:

• PhD degree in a quantitative field (e.g., mathematics, physics, statistics and operations research)
• 2+ years industry or relevant PhD or PostDoc experience
• Self-driven, detail-oriented and capable of formulating and solving problems independently
• Experience with C++ and Python is required
• Experience with scalable and modular software development and deployment as well as in depth knowledge of algorithms and data structures
• Interest in developing and owning business applications of our models/analytics
• Capability to support the existing production environment and nimble enough to navigate predecessors’ code
• Ability to effectively use the Linux platform for development and high-throughput data processing
• Previous experience with statistical and optimization techniques is preferred
• Hands-on experience with intraday financial data and analytics is preferred
• Familiarity with Kx/q is a plus

YOU’RE JUST RIGHT FOR VIRTU IF YOU ARE LOOKING FOR:

• A smaller collegiate team environment
• A tech-savvy company on the cutting edge of innovation
• Direct exposure to the decision makers and senior leaders on all sides of the business
• Teams that are passionate about continually learning, improving and raising the bar
• A community that values hard work as well as work-life balance
• A company that is committed to giving back to the surrounding communities

YOU’RE JUST RIGHT FOR VIRTU IF YOU ARE LOOKING FOR:

• A smaller collegiate team environment
• A tech-savvy company on the cutting edge of innovation
• Direct exposure to the decision makers and senior leaders on all sides of the business
• Teams that are passionate about continually learning, improving and raising the bar
• A community that values hard work as well as work-life balance
• A company that is committed to giving back to the surrounding communities

Salary Range: $170,000 - $210,000 (salary range is exclusive of bonuses, benefits or other categories of compensation)

Virtu Financial is an equal opportunity employer, committed to a diverse and inclusive workplace, welcoming you for who you are and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

Bracebridge Capital seeks a Senior Quantitative Researcher – Risk System Lead with substantial hands-on experience building fixed-income pricing and risk systems in C++.
This is a senior, production-focused quant role requiring deep familiarity with rates, credit, correlation, and ABS modeling, as well as risk system architecture. Candidates without direct, professional experience managing, developing and maintaining fixed-income analytics in production environments will not be considered.

The Risk System Lead will report to the Director of Research and will own all aspects of the firm’s daily risk process, collaborating with Portfolio Managers and Researchers across strategies.

Primary Responsibilities:

• Lead and manage the development/enhancement of the in-house fixed income pricing platform used for portfolio and risk management
• Develop a comprehensive understanding of and own the daily scenario-based Risk System production process, including model development, data pipelines, database structure, C++ analytics, and report generation
• Identify and explain sources of large daily sensitivity and scenario PL changes and discrepancies
• Build accountability-based business process to monitor daily Risk System runs, utilizing Researchers and Quantitative Developers
• Pinpoint issues with data and/or analytics and direct junior members of the group to resolve them
• Implement and manage the changes and enhancements to the models, scenario definitions and other parts of the risk system to incorporate new state variables and risk factors
• Collaborate with Portfolio Managers on pricing and scenario analysis for rates, credit, and ABS positions

Qualifications:

• MS or more advanced degree in Computational Finance/Financial Mathematics/Financial Engineering
• Minimum 5 years of professional experience implementing fixed-income pricing models for products in rates, credit, correlation and ABS space
• Substantial experience with C++ programming, including responsibility for production and maintenance of fixed-income analytics libraries
• Proven track record in risk system architecture and scenario-based portfolio analytics
• Familiarity with complex fixed-income instruments and valuation approaches, including loan portfolio pricing models, strongly preferred 
• Solid understanding of risk management concepts, including sensitivity analysis, stress testing, and P&L attribution
• Demonstrated ability to communicate effectively with portfolio managers, traders, and quantitative teams
• Proven ability to work independently and deliver results in a fast-paced, collaborative research environment

Current anticipated annual base salary range: $200,000 - $300,000

Base salary within the range will be determined by various factors including but not limited to the individual's experience, skills and qualifications.

Summary

QuEra is seeking a deeply technical and theoretically grounded algorithms researcher to help advance the frontier of quantum computing. This role focuses on developing novel algorithms and quantum computational techniques inspired by and tailored to the capabilities of neutral-atom quantum devices.

A strong candidate will bring deep expertise in quantum algorithm design and quantum information theory. As part of your role, you will lead research efforts that explore the boundaries of quantum advantage, investigate computational hardness and resource tradeoffs, and prototype algorithms that could run on QuEra's hardware. You will also collaborate closely with hardware and software teams to guide the co-design of algorithms and architectures, and shape the roadmap for algorithmic utility on neutral-atom systems.

Key Responsibilities

• Conduct original research in quantum algorithms, quantum algorithm complexity, and quantum information theory.
• Design and analyze new quantum algorithms with demonstrable computational advantage.
• Explore and classify algorithmic primitives aligned with neutral-atom capabilities.
• Collaborate with the applications team to optimize performance under realistic architectural constraints.
• Evaluate the landscape of quantum algorithm benchmarks and influence the development path for practical quantum utility on QuEra’s platform.

Qualifications

• PhD in Computer Science, Physics, Mathematics, or a related discipline with specialization in quantum computing.
• Strong research record in quantum algorithms or quantum information theory, as evidenced by top-tier publications or equivalent contributions.
• Familiarity with core quantum algorithmic techniques (e.g., amplitude amplification, phase estimation, Hamiltonian simulation, and quantum arithmetic primitives).
• Deep understanding of quantum computational models and algorithmic complexity.
• Strong communication skills.

Preferred Qualifications

• Postdoctoral or industrial experience in quantum computing, especially in algorithm design.
• Experience in using software packages for fault-tolerant quantum algorithms research and quantum resource estimation (e.g. Qualtran).
• Strong software engineering skills.

The approximate base salary range for this position is $145,600 - $227,500.

We consistently monitor external market data and update base salary ranges accordingly.  We determine base compensation decisions on several factors, including as geographic placement, role-specific knowledge, skills, and/or experience.  In addition to our base salary offerings, we also provide equity grants for all new hires.

QuEra is committed to cultivating a diverse work environment and is proud to be an equal opportunity employer. We highly value diversity in our current and future employees and do not discriminate (including in our hiring and promotion practices) based on race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status, or any other characteristic protected by law.

#LI-NB1

Required Qualifications

• PhD in Physics, Computer Science, Mathematics, Electrical Engineering, or equivalent experience
• Experience in machine learning for scientific problems
• Experience in quantum computing and quantum error correction
• An exceptional publication record in relevant fields
• Strong written and verbal communication skills
• Strong software skills

• Experience simulating error correction protocols
• Experience collaborating with experimental teams and/or implementing error correction protocols on hardware
• Experience with high-performance software development and real-time operations

The approximate base salary range for this position is $130,400 - $211,900.

We consistently monitor external market data and update base salary ranges accordingly. We determine base compensation decisions on several factors, including as geographic placement, role-specific knowledge, skills, and/or experience. In addition to our base salary offerings, we also provide equity grants for all new hires.

QuEra is committed to cultivating a diverse work environment and is proud to be an equal opportunity employer. We highly value diversity in our current and future employees and do not discriminate (including in our hiring and promotion practices) based on race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status, or any other characteristic protected by law.

#LI-NB1

To reinvent an industry, you have to build the best team. Join Formlabs if you want to bring groundbreaking professional 3D printers to the desktop of every designer, engineer, researcher, and artist in the world.

Our printers sit in the middle of an interdependent ecosystem of software, mechanical, and electrical components. Ensuring printer success requires deep technical knowledge of the product as well as an ever-evolving understanding of how the product behaves in the field.

This role involves supporting all parts of the product development cycle from early R+D to continuing engineering for shipped products. In addition, you’ll collaborate closely with design teams to overcome cross-disciplinary problems and ensure that we ship quality products. If you’re eager to collaborate with other Systems Integration Engineers to support the full range of Formlabs products, we want you as a Senior Robotic Systems Integration Engineer.

 The Job:

• Bring together the firmware and hardware of the subsystems into one system, bring prototypes through integration hell, and ensure that they work optimally as per requirements and deliver physical prototypes
• Partner with system architect to create and document visual descriptions of systems and subsystems and their inputs and outputs.
• Establish the interfaces between the sub-systems, define/refine control algorithms or even design sub-systems that are electro-mechanical in nature.
• Take ownership of managing sub-system/system level requirements and track changes.
• Design test plans to validate the requirements of subsystems/entire system, execute the tests and analyze the results.
• Resolve systems issues to improve their performance or recommend corrective actions to the functional group.

You:

• Have previous experience (3+ years) designing complex electro-mechanical systems.
• Knowledge of motion control, sensors and control algorithms.
• Experience managing system and subsystem requirements.
• Well versed in hardware debugging and passionate about understanding why things work (or don’t)
• Scripting experience with Python (preferred), Labview, Matlab, etc.

Bonus Skills: 

• Familiarity with low-level embedded firmware (C++ prefer)
• Experience in data analysis and reporting
• Experience with consumer electronics\

Our Benefits & Perks:

• Robust equity program to build future wealth through RSUs
• Comprehensive healthcare coverage (Medical, Dental, Vision)
• 401K matching and access to financial advisors
• Generous paid Parental Leave (up to 16 weeks)
• Tenure-based paid Sabbatical Leave (up to 6 weeks)
• Flexible Out of Office Plan – Take time when you need it
• Ample on-site parking & pre-tax commuter benefits
• Healthy on-site lunches, snacks, beverages, & treats
• Regular sponsored professional development opportunities
• Many opt-in culture events across our diverse community
• And of course… unlimited 3D prints

We are an equal opportunity employer and value diversity at our company.  We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. 

SES AI Corp. (NYSE: SES) is dedicated to accelerating the world’s energy transition through groundbreaking material discovery and advanced battery management. We are at the forefront of revolutionizing battery creation, pioneering the integration of cutting-edge machine learning into our research and development. Our AI-enhanced, high-energy-density and high-power-density Li-Metal and Li-ion batteries are unique; they are the first in the world to utilize electrolyte materials discovered by AI. This powerful combination of "AI for science" and material engineering enables batteries that can be used across various applications, including transportation (land and air), energy storage, robotics, and drones. 

 To learn more about us, please visit: www.ses.ai 

What We Offer: 

• A highly competitive salary and robust benefits package, including comprehensive health coverage and an attractive equity/stock options program within our NYSE-listed company. 

• The opportunity to contribute directly to a meaningful scientific project—accelerating the global energy transition—with a clear and broad public impact. 

• Work in a dynamic, collaborative, and innovative environment at the intersection of AI and material science, driving the next generation of battery technology. 

• Significant opportunities for professional growth and career development as you work alongside leading experts in AI, R&D, and engineering. 

• Access to state-of-the-art facilities and proprietary technologies are used to discover and deploy AI-enhanced battery solutions. 

What we Need: 

The SES AI Hermes team is seeking an exceptional Battery Electrolyte Scientist & Materials Chemistry Leader to serve as an R&D leader specializing in electrolyte development and interfacial chemistry. This role is critical for producing experimentally validated battery component data, guiding AI model training, and defining the materials innovation roadmap for next-generation energy storage systems. As an Electrolyte Scientist and R&D Leader, you will direct key experimental programs and manage the strategic interface between chemistry and AI. 

Essential Duties and Responsibilities: 

• R&D Program Leadership 

• Direct complex electrolyte R&D programs focused on next-generation battery systems, ensuring alignment with customer and product requirements (e.g., safety, cyclability, low/high temperature performance). 

• Lead multi-R&D teams composed of chemists, data scientists, and engineers to achieve key innovation milestones. 

• Define the materials innovation roadmap, particularly related to electrolyte formulation and interfacial science. 
   

• Experimental Validation & Data Generation 

• Oversee SEI (Solid Electrolyte Interphase) engineering and additive optimization programs, leveraging expertise in fundamental materials chemistry. 

• Lead cell-level validation and the integration of new electrolytes into prototype cells. 

• Produce high-quality, experimentally validated battery component data, guiding AI model training by ensuring data quality, experimental reproducibility, and comprehensive parameter space coverage (Data-driven experimentation). 
   

• AI Integration & Tools 

• Utilize molecular informatic tools to accelerate battery component optimization cycles, effectively bridging experimental data with AI-generated candidates. 
   

Education and/or Experience: 

• Education: Ph.D. in Materials Science and Engineering, Chemical Engineering, Electrochemistry, or a closely related materials chemistry field. 

• R&D Leadership: Proven background as an electrochemical researcher and R&D leader experienced in directing technical programs and managing multi-disciplinary research teams. 

• Core Chemistry Expertise: Deep expertise in fundamental materials chemistry, interfacial science, additive optimization, and Solid-Electrolyte Interphase (SEI) engineering. 

• Validation Experience: Extensive experience in cell-level validation and advanced characterization techniques, demonstrating an ability to integrate new materials into prototype cells. 

• Data Focus: Demonstrated experience in data-driven experimentation and structuring chemistry data for AI model consumption. 
   

Preferred Qualifications: 

• Industry Focus: Previous experience at leading battery manufacturers, electrolyte R&D teams, or applied materials chemistry labs, especially those focused on next-generation battery and energy storage systems. 

• Program Alignment: Strong track record of successfully aligning R&D execution with clear customer and product requirements. 

• Informatics Tooling: Ability to use or integrate results from molecular informatic tools for component optimization. 

Virtu is a leading financial firm that leverages cutting edge technology to deliver liquidity to the global markets and innovative, transparent trading solutions to our clients. As a market maker, Virtu provides deep liquidity that helps to create more efficient markets around the world. Our market structure expertise, broad diversification, and execution technology enables us to provide competitive bids and offers in over 19,000 securities, at over 235 venues, in 36 countries worldwide 

The firm’s complementary core offerings—market making, client execution services, and trading venues—give Virtu a competitive advantage in developing and applying innovative tools that deliver efficiencies and performance across the organization. Investors around the world have better trading performance because of our everyday work. Our teams set the bar high and strive to provide best-in-class service to institutional investors around the world. From traders to technologists and everyone in between, we are passionate about innovating, solving problems and making an impact to the bottom line.

THE ROLE

Virtu is looking for an experienced, detail-oriented Quantitative Researcher to join our Financial Engineering team in Boston, supporting our Virtu Execution Services Business. The emphasis of this position is on the research, development, deployment and support of our industry-leading statistical models for pre and post-trade decision support for fixed income securities and making them available for trading applications. The successful candidate joins a strong team that conducts trading related research and development by applying principles of scientific computing, statistical learning as well as analytical and programming skills. We create actionable products that improve decision-making for equity, fixed income, FX, and other asset classes across a diverse client base. 

• Learn and be knowledgeable about our fixed income data, analytics and models, lead new improvements and/or initiatives, and handle their support
• Develop re-usable common framework components and contribute to interfaces that expose features of our analytics/model to internal and external clients
• Apply advanced data processing and statistical learning techniques to enhance expert knowledge in measuring and analyzing realized transactions costs of Virtu’s peer clients
• Conduct critical comparison of alternative data sources and, if necessary, integrate them in the production pipeline
• Effectively document use cases, requirements and architectural specifications related to the models and applications
• Work with product managers, FI trading desk and client services teams to understand, prioritize and effectively execute requirements

THE CANDIDATE 

• PhD or Master’s degree in a quantitative field
• Minimum of 7+ years in finance, specifically Fixed Income
• Institutional knowledge of fixed income markets with emphasis on trading-related aspects
• Ability to effectively communicate and collaborate with multi-office/region teams as well as work independently, and adapt to changes
• Strong python programming skills, including experience with scalable software design and development (not just scripting), experience with relational databases is a must
• Previous experience with statistical, machine learning and optimization techniques
• Hands-on experience with intraday financial data and analytics
• Ability to effectively use the Linux platform for development and data processing
• Familiarity with KDB/q and/or knowledge of C++ is a plus

THE PROCESS

Position Overview:

We are seeking a Principal Quant Engineer to work in close collaboration with Research, Portfolio Management, and Data teams to design and implement scalable, production-grade platforms that support Acadian’s quantitative research and investment processes.

This role focuses on building quant tooling that enables researchers to efficiently develop, evaluate, and deploy quantitative models across investment processes including alpha, risk, transaction cost analysis, attribution, etc. The emphasis is on creating infrastructure that makes quantitative research repeatable, observable, and production-ready at scale.

Acadian supports a hybrid work environment; employees are on-site in the Boston office 3 days a week.

What You’ll Do:

• Design and implement quant tooling that supports signal construction and evaluation workflows, powering production portfolios across global asset universes.
• Work closely with quantitative researchers to ensure research infrastructure continues to evolve in step with their needs, enabling efficient experimentation and reliable alpha generation.
• Lead the AI centric development and evolution of core platform capabilities that support signal computation, data access, workflow orchestration, and distributed execution for both quantitative signals and machine learning-based techniques, including deep learning workflows built with PyTorch.
• Ensure platform flexibility while maintaining integration with downstream processes for portfolio construction, portfolio management, marketing, client reporting, etc
• Incorporate machine learning and AI techniques into signal construction, parameter estimation, and efficacy evaluation workflows where they improve forecast quality and research productivity, including hyper‑parameter optimization using frameworks such as Optuna or similar.
• Provide architectural leadership to improve robustness, transparency, scalability, and performance of data- and compute-intensive research and production workflows.
• Collaborate with data and platform teams to streamline access to market data, alternative datasets, and compute resources, reducing friction in the research “inner loop” of signal development, backtesting, and validation.
• Contribute to the end‑to‑end machine learning lifecycle capabilities, including experiment tracking, model management, embedding and graph visualization, and deployment, drawing on tools and concepts such as MLflow.

We’re Looking for Teammates With:

• Bachelor’s degree or higher in Computer Science, Engineering, Applied Mathematics, or a related quantitative field.
• 7+ years of experience in software engineering, with significant hands-on work supporting quantitative research, signal development, or systematic investing in production environments.
• Demonstrated experience building and operating quantitative platforms that support signal modeling, evaluation, and deployment at scale.
• Strong proficiency in Python and modern data processing and numerical computing tools (e.g., Polars).
• Familiarity with machine learning and AI-assisted development techniques, including the use of AI or agentic coding tools (e.g. Claude Code) to improve research and engineering productivity.
• Solid understanding of system design concepts.
• Demonstrated ability to deliver robust, transparent, and performant systems.
• Strong attention to detail and a commitment to producing accurate, reliable, and well-engineered solutions.
• Creativity and enthusiasm for solving complex problems.
• Strong work ethic and a roll-up-your-sleeves mindset, with the ability to operate effectively in a hands-on, collaborative environment.

The base salary range for this role is $185,000 – $225,000 per year. Actual compensation will be determined based on a candidate’s skills, qualifications, and relevant experience. In addition to base pay, this position may be eligible for discretionary incentive compensation and includes participation in Acadian’s comprehensive benefits program, which includes health, retirement, and wellness offerings.

Position: Technology & Artificial Intelligence

Location: New York or Boston

Firm Overview:

Walleye Capital is a ~$13 billion+ multi-strategy investment firm headquartered in New York City, with over 350 employees across five main offices. Founded in 2005 as an options market maker, we have organically grown into a global investment firm specializing in Fundamental Equities, Quant, and Volatility strategies.  

At Walleye, we continuously innovate by focusing on three core principles: approach, platform, and people. Our approach is to allocate risk capital where we believe there is not only a compelling opportunity, but also a clear ability to define our tangible edge. We seek to leverage the mathematical benefits of diversification while utilizing sophisticated infrastructure, technology, and our balance sheet to do so in a structurally advantageous way. Our platform, developed over two decades, is central to our operations, evolving alongside business complexities and technological advancements to support our team’s success. Our people are our greatest asset, and we’ve cultivated an environment that attracts top talent by balancing autonomy with collaboration, and intelligence with integrity. 

Walleye is an equal opportunity employer. Individuals seeking employment are considered without regard to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, sexual orientation, or any other category protected by applicable law.

If you require a reasonable accommodation to participate in any part of our hiring process, please contact HR@walleyecapital.com.   

Personal data you provide will be processed in accordance with Walleye Capital LLC’s Privacy Notice available at: https://www.walleyecapital.com/.  

Position: Quantitative Research & Development

Location: Boston

Firm Overview:

Walleye Capital is a ~$13 billion+ multi-strategy investment firm headquartered in New York City, with over 350 employees across five main offices. Founded in 2005 as an options market maker, we have organically grown into a global investment firm specializing in Quant, Fundamental Equities, and Volatility strategies.

Our Team Overview:

Quantic is Walleye’s principal quantitative investment business, established in 2016 as one of its core investment strategies. Quantic has subsequently evolved into one of the most successful trading teams in the industry.

We are a tight-knit, collaborative, and intellectually rigorous group of scientists, engineers, and traders leveraging advanced statistical modeling techniques to identify and capitalize on profitable trading opportunities in global equities, options, and futures. What sets Quantic apart is our pragmatic, engineering-driven culture, where achieving goals—and achieving them the right way—takes precedence. We foster collaboration among colleagues, confident that the best ideas arise through cross-disciplinary exchange. Our commitment to continuous self-reflection and growth drives us to build the strongest possible platform for our team's future success. We are seeking talented researchers and developers to help elevate our capabilities and join us on this journey.

Walleye is an equal opportunity employer. Individuals seeking employment are considered without regard to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, sexual orientation, or any other category protected by applicable law.

If you require a reasonable accommodation to participate in any part of our hiring process, please contact HR@walleyecapital.com.   

Personal data you provide will be processed in accordance with Walleye Capital LLC’s Privacy Notice available at: https://www.walleyecapital.com/.  

PhaseV is a Boston-based technology company that redefines clinical development at scale with its enterprise-ready, multi-modal AI/ML platform — accelerating decisions, de-risking trials, and driving more efficient portfolio strategies. With over $65M raised from Accel, Insight, and others, we are poised to make a significant impact on how drugs are developed and brought to market.

We are seeking a BiostatisticsResearch Consultant in the US. This role would have a dual mission of client-facing consulting and cutting-edge research in statistics, data science, causal inference, machine learning for modern clinical trial design and biopharmaceutical development. This position would report to Dr. Brad Carlin, head of Statistics at PhaseV.

Primary job responsibilities will include:

Consulting:

1. Be part of a team working on client-specific projects in trial design and data analysis, including development of code and client-facing interaction
2. Support real-time clinical trial implementation as requested by clients or CROs less familiar with Bayesian and other modern statistical approaches
3. Write and co-present final reports in both oral and written form

Research:

1. Support the development of research papers for statistical, machine learning, and medical journals on modern methodological approaches relevant to the company’s interests and computing platform development, as well as applied papers growing out of consulting projects or conference interactions
2. Support submission and revision of these papers for publication in refereed journals
3. Attend and give presentations about these research projects at national and international conferences and other meetings as requested

Job requirements:  

1. PhD in statistics, biostatistics, machine learning, or a related field
2. Excellent written and verbal English communication skills 
3. Proven ability to work both independently and in a team environment 
4. Proven ability to prioritize and balance multiple tasks 
5. Broad knowledge of statistical modeling is required, including all standard methods in Bayesian hierarchical modeling and computing, methods for longitudinal and time-to-event data, propensity scoring and other standard tools for causal inference, and basic tools for sample size estimation
6. Proficiency in either R or Python programming is required; proficiency in both is preferred; proficiency in SAS programming is a plus 
7. Experience in shell scripting, high performance computing, and cloud computing is preferred 
8. Knowledge of clinical trials and associated regulatory compliance issues is a plus 
9. Experience with leading and managing projects is preferred 
10. Qualified candidates must be legally authorized to be employed in the US
11. Strong preference for candidates who can work on-site (in Cambridge, MA) 2 days per week.  
12. Travel to the home office and some client meetings are expected; statistical and other conference travel to promote the team’s research mission will also be supported. 

What We Offer:

• Join us on a mission to change the world for the better.
• The opportunity to work with an amazing team passionate about making a real-world impact.
• Extremely hard and diverse problem setting, in which the team is pushing the envelope.
• A collaborative and dynamic startup environment.
• Professional growth and development opportunities.
• Competitive compensation and equity participation
• Comprehensive benefits, 401(k) match, and flexible hybrid culture