fal is the generative media ecosystem powering the next generation of AI products. We build the infrastructure, tools, and model access that teams need to move from idea to production, and do it at scale without compromise. For developers and enterprises, fal is the foundation that makes generative media not just possible, but practical: a unified platform where high-performance inference, orchestration, and observability come together to unlock new categories of AI-native products.

As generative media reshapes industries across a market projected to grow by hundreds of billions over the next decade, fal is becoming the ecosystem that ambitious teams build on.

About this role:

You are an ML Researcher who has a broad view of the generative media space and an update-to-date awareness of new methods in the space. You can spot products and features that are missing in the current market and work backwards to develop new methods to solve customers problems. Sometimes your work will require entirely novel training or architecture developments. While other times it will require fine-tuning pre-existing models with novel datasets. You are able to consider the expected return on investment of different approaches, and more excited about using research to develop novel products, then research for research's sake.

Tech:

• You will have access to our massive GPU cluster for training and inference

• Some core technologies we use include Python, torch, diffusers, and the fal Python SDK

• You'll work alongside a team dedicated to quickly iterating on and deploying new AI breakthroughs

• You have work published in ICCV, ICML, Neurips, CVPR

What we offer at fal

• Interesting and challenging work

• Competitive salary and equity

• A lot of learning and growth opportunities

• We are currently hiring in downtown San Francisco. We prefer to work in-person but we also offer remote work opportunities for exceptional candidates.

• We offer visa sponsorship and will help you relocate to San Francisco.

• Health, dental, and vision insurance (US)

• Regular team events and offsites

What You'll Be Doing:

• Work directly on building, deploying, and iterating on machine learning models and agentic workflow features that address real customer needs
• Apply ML techniques to improve accuracy and overall system performance, ensuring solutions are robust, reliable, and production-ready for customers
• Improve, implement, and validate ML models and agentic workflows supporting submission intake, underwriting decision-making, and automation tasks
• Deploy and adapt autonomous agent behaviors into customer-specific workflows, translating core AI capabilities into practical solutions
• Develop and maintain evaluation pipelines, monitoring systems, and performance metrics to ensure reliability under evolving production conditions
• Monitor production systems via logs, metrics, and user feedback to diagnose issues, debug failures, and drive resolution
• Take end-to-end ownership of problems — implementing fixes or coordinating with engineering and infrastructure teams as needed
• Partner closely with Data Science and Engineering teams to iterate quickly and deliver high-impact solutions

Who We Hope You Are:

• Bachelor's or master’s degree in Mathematics, Operations Research, Data Science, Artificial Intelligence, or a related field with foundational knowledge in machine learning, deep learning, and natural language processing.
• Experience working in a fast-paced, cross-functional environment
• 2+ years of experience as a Machine Learning Engineer, Applied Scientist, or similar role delivering ML solutions in production
• Experience working directly with customers or stakeholders to translate business needs into technical solutions
• Hands-on experience adapting, extending, and deploying ML/LLM systems (including agentic workflows and prompt engineering) in real-world use cases
• Strong experience with experimentation, evaluation, and monitoring pipelines, including analyzing production logs and debugging systems
• Experience deploying and iterating on ML systems in cloud environments in collaboration with engineering teams
• Proven track record of ownership — driving issues through to resolution in production systems

Base Salary Range: $155,000 - $180,000
Final offer amounts are determined by multiple factors including candidate location, experience and expertise and may vary from the amounts listed above. Total compensation package also includes bonus, stock options, benefits and additional perks. 

Position Summary:

The Senior Director, Risk Management, Drug Safety & Pharmacovigilance (DSPV) will report to the Vice President, Drug Safety & Pharmacovigilance and will be responsible for our Risk Management strategy and Benefit Risk Office at Vera which strives for excellence and the creation of a best practice framework. As a Risk Management Lead, you will be empowered to work cross-functionally with colleagues to establish and manage the processes for Risk Management, benefit risk, RMPs, additional Risk Minimization Measures and REMS programs and other Benefit Risk deliverables. The overall goal of the Risk Management Lead is to optimize the proactive impact made by the PV department at Vera while maximizing patient safety and minimizing/preventing patient risk.

Responsibilities:

• Serves as Project manager of the PV Risk Management System to oversee, evaluate, characterize, strategize, implement, assess and track vera’s PV Risk Management obligations, commitments and proposed minimization measures to ensure patient safety is at the forefront of DSPV.
• Provide recommendations and guidance through subject matter expertise on risk management and risk minimization strategy to an assigned therapeutic area to ensure that product risk management strategies are consistent worldwide.
• Provide recommendations and guidance through subject matter expertise on the structured benefit risk assessment framework and the development of the benefit risk assessment documentation.
• Work closely with cross-functional teams (e.g. Clinical Development, Clinical Operations, Medical Affairs, Regulatory Affairs, and Biostats) to ensure alignment of Vera’s global position for the PV risk management processes.
• Provide strategic expertise to cross-functional product team members in developing pharmacovigilance risk strategies including benchmarking and scenario planning.
• Support the development of risk management plans (RMPs) in modular format, review RMPs) and ensure alignment with Good Pharmacovigilance Practices and other applicable regulations.
• Remain up to date and well informed on all Regulatory intelligence as it relates to risk management and relay this to the Project team and the PV medical safety science team.
• Aide in the development and review risk minimization documents such as Developmental RMPs, RMPs, risk minimization measures and Risk Evaluation and Mitigation Strategy (REMS).
• Provide subject matter expertise and thoughtful contributions to qualitative and quantitative structured benefit risk assessments.
• Provide guidance on incorporation of the patient’s perspective into benefit-risk activities (e.g. Real-World Evidence studies with Medical Affairs).
• Collaborate with PV Physician Leads, Clinical Leads, PV scientists and Clinical Research Scientists, and others cross-functional teams on benefit risk assessment strategy.
• Develop and provide recommendations for appropriate risk management interventions such as direct healthcare professional communications, educational materials, controlled access program.
• Provide guidance and drive the creation of tracking risk management commitments including utilization of a tracking spread sheet or platform and improvement assessments
• Monitor and report risk management metrics to ensure compliance.
• Provide centralized support, training, and leadership for safety and cross-functional members who work on risk management plans and risk minimization activities.
• Support inspections and audit activities internally and externally with regards to risk management processes.
• Perform other duties as defined in standard operation procedures or requested by supervisor.
• Work with PV Physician and PV Scientists to aide in the proper characterization and classification of Risk from initial signal to evaluation, validation, implementation in study documents, protocols, IBs, ICFs, and RMPs.
• Work with VP of DSPV, PV Physicians and PV Scientists on any Regulatory Submission/filing for BLA, SBLA, MAA, etc. to be sure that risks are reflected properly and carried through to support filing activities.
• Oversee risk components of Aggregate reports like DSUR, PBRER etc.
• Work with PV Physicians and PV Scientist in risk presentations at safety Governance meetings (MSRB & MSRC) to ensure proper communication of risk is achieved and proper course of action is followed.
• Manage and oversee any outsourced RMP related activities to external vendors.

Qualifications:

• PhD/Pharmacist/ PharmD/DO/MD with 12+ years of experience.
• Minimum 5-10 years in PV/safety OR clinical development preferred.
• Minimum 5-10 years of pharmaceutical industry/drug development experience.
• Pharmaceutical industry experience, with exposure to PV risk management, additional risk minimization measures, and/or REMS programs preferred.
• Strong track record of scientific and analytical thinking.
• Experience presenting at meetings is desirable.
• Work with integrity and work proactively in a fast-moving environment.
• Good Critical thinking skills. Ability to use good analytical/judgment skills to understand, analyze, and communicate.
• Project Management Skills with ability to manage both time and priority constraints and to manage multiple priorities simultaneously.
• Attention to detail, computer literacy, knowledge of safety databases.
• Good working knowledge of all the functions within PV from PV operations onto medical safety science and all processes in between.

The Community You Will Join:

Guest Experience is responsible for Search and Discovery, Merchandising, and end-to-end online software experience worldwide from top-of-funnel discovery through post-booking engagement. We are looking for a talented Data Scientist to join the Guest Data Science team. This tech lead will be at the core of using AI and casual inference to understand user behavior in our app, detect underlying intent, and to build data products needed to provide a compelling and personalized experience of our app. We build products that help guests find the inventory most relevant to them in our marketplace.

The Difference You Will Make:

As a Senior Staff Data Scientist, you will lead innovation efforts to build methodologies to identify and evaluate the preferences important to every guest, at every step of their online discovery funnel. You will be instrumental in shaping our data strategy to drive guest conversion and regular engagement with the Airbnb platform across our Homes, Experiences and Services business verticals. 

This role emphasizes technical excellence and driving business impact with cutting-edge science. Your role will involve close collaboration with Product to identify in-product optimizations and shape UX design architecture to path how guests navigate from surface-to-surface in our app.

The ideal candidate will demonstrate to be a domain expert with granular user behavior and sequence datasets in a marketplace setting. You will hold a high bar for our customer experience and balance a passion for AI with a strong desire to accurately understand user behavior and business success. Your efforts towards personalized content discovery will help make Airbnb feel tailored for you, maintaining a dialogue with our guests to deeply understand their preferences and reflect that understanding back to them, enabling every guest to easily discover the travel they will love.

A Typical Day:

• Learn: Develop deep understanding of how guests navigate and re-engage with our app via analysis, research, and by leveraging granular user action and sequence datasets.
• Partner: With product and engineering, drive technical frameworks and science leadership to explore innovative paradigms for detecting revealed preferences and quantifying online frictions.
• Build: Write code for prototypes to detect and quantify taxonomy of guest preferences via iterative development of data frameworks, models and artefacts derived from AI toolkits
• Evaluate: Assess assumptions and efficacy of derived guest preferences via measurement and validating hypotheses linked to online guest action and engagement. Setup experiments and data feedback loops to own a high bar over continuous impact.
• Influence: Regularly present findings and recommendations to leadership audiences to inform strategy and cross-functional deliverables.
• If you’re passionate about going deep into personalized user experiences, we want to hear from you!

Your Expertise:

• Causal inference expertise with marketplace experience
• Preferred domain experience in search, UX discovery, personalized evidence systems
• Advanced degree in Computer Science, Statistics, Econometrics or related field.
• 9+ years of industry experience with a PhD (or 12+ years with a Masters)
• Strong in communication with XFN partners in product, engineering, and design to enable data-driven product development with a focus on the user experience.
• Expert in at least one programming language for data analysis (Python or R) with familiarity in SQL. Comfort with developing proof-of-concept prototypes. Passionate about AI and possessing a learner’s mindset towards LLMs and dynamic systems.
• Proven ability to succeed in both collaborative and independent work environments
• Demonstrated willingness and track record of engagement with the technical community

Your Location:

This position is US - Remote Eligible. The role may include occasional work at an Airbnb office or attendance at offsites, as agreed to with your manager. While the position is Remote Eligible, you must live in a state where Airbnb, Inc. has a registered entity. Click here for the up-to-date list of excluded states. This list is continuously evolving, so please check back with us if the state you live in is on the exclusion list. If your position is employed by another Airbnb entity, your recruiter will inform you what states you are eligible to work from.

AI Trainer – Research Scientists

About Prolific

Prolific is not just another player in the AI space – we are building the biggest pool of quality human data in the world.

Over 35,000 AI developers, researchers, and organizations use Prolific to gather data from paid study participants with a wide variety of experiences, knowledge, and skills.

The role

We’re looking for people with Research Scientist experience to work as self-employed AI Trainers to help train and evaluate cutting-edge AI models from some of the world’s biggest AI labs. If you have the necessary experience, we’ll send you a quick 10- to 15-minute test to assess your skills and suitability for AI tasks. If successful, you’ll be invited to join Prolific as a Domain Expert participant, where you’ll get paid to train and evaluate powerful AI models.

Researchers looking for your skills tend to pay up to £50/hr subject to the length of tasks available. If successful, you must be prepared to complete paid tasks that require one hour of uninterrupted work, though many are shorter.

What you’ll be doing in the role

Completing AI training tasks such as analyzing, editing, and writing research-focused content
Judging the performance of AI on research design, methodology, and scientific reasoning prompts
Improving cutting-edge AI models using your experience in research and experimentation

What you’ll bring

Experience working as a Research Scientist or in a closely related research role
A strong understanding of scientific methodology, experimental design, and data analysis
A willingness to take our skills verification test to assess your suitability for our Domain Expert participant pool
Strong attention to detail and the ability to concentrate on complex tasks for up to one hour at a time
A reliable and fast internet connection and access to a computer
A Paypal account to receive payment from our clients*

Why Prolific is a great platform to join as a Domain Expert participant

Joining our platform as a Prolific participant will give you the chance to influence the AI models of the future. Once you pass our assessment, you can join Prolific in just 15 minutes, and start enjoying competitive pay rates, flexible hours, and the ability to work from home.

We've built a unique platform that connects researchers and companies with a global pool of participants, enabling the collection of high-quality, ethically sourced human behavioural data and feedback. This data is the cornerstone of developing more accurate, nuanced, and aligned AI systems.

We believe that the next leap in AI capabilities won't come solely from scaling existing models, but from integrating diverse human perspectives and behaviours into AI development. By providing this crucial human data infrastructure, Prolific is positioning itself at the forefront of the next wave of AI innovation – one that reflects the breadth and the best of humanity.

*Participants are self-employed and need to declare earnings to their respective tax authorities. Prolific has no liability for any tax obligations or reporting requirements resulting from compensation received through this platform. Each participant is solely responsible for compliance with applicable tax laws in their jurisdiction.

Links to more information on Prolific

Website

Youtube

Privacy Statement

By submitting your application, you agree that Prolific may collect your personal data for recruiting and global organisation planning. Prolific's Candidate Privacy Notice explains what personal information Prolific may process, where Prolific may process your personal information, its purposes for processing your personal information, and the rights you can exercise over Prolific use of your personal information.

AI Trainer – Research Scientists

About Prolific

Prolific is not just another player in the AI space – we are building the biggest pool of quality human data in the world.

Over 35,000 AI developers, researchers, and organizations use Prolific to gather data from paid study participants with a wide variety of experiences, knowledge, and skills.

The role

We’re looking for people with Research Scientist experience to work as self-employed AI Trainers to help train and evaluate cutting-edge AI models from some of the world’s biggest AI labs. If you have the necessary experience, we’ll send you a quick 10- to 15-minute test to assess your skills and suitability for AI tasks. If successful, you’ll be invited to join Prolific as a Domain Expert participant, where you’ll get paid to train and evaluate powerful AI models.

Researchers looking for your skills tend to pay up to £50/hr subject to the length of tasks available. If successful, you must be prepared to complete paid tasks that require one hour of uninterrupted work, though many are shorter.

What you’ll be doing in the role

Completing AI training tasks such as analyzing, editing, and writing research-focused content
Judging the performance of AI on research design, methodology, and scientific reasoning prompts
Improving cutting-edge AI models using your experience in research and experimentation

What you’ll bring

Experience working as a Research Scientist or in a closely related research role
A strong understanding of scientific methodology, experimental design, and data analysis
A willingness to take our skills verification test to assess your suitability for our Domain Expert participant pool
Strong attention to detail and the ability to concentrate on complex tasks for up to one hour at a time
A reliable and fast internet connection and access to a computer
A Paypal account to receive payment from our clients*

Why Prolific is a great platform to join as a Domain Expert participant

Joining our platform as a Prolific participant will give you the chance to influence the AI models of the future. Once you pass our assessment, you can join Prolific in just 15 minutes, and start enjoying competitive pay rates, flexible hours, and the ability to work from home.

We've built a unique platform that connects researchers and companies with a global pool of participants, enabling the collection of high-quality, ethically sourced human behavioural data and feedback. This data is the cornerstone of developing more accurate, nuanced, and aligned AI systems.

We believe that the next leap in AI capabilities won't come solely from scaling existing models, but from integrating diverse human perspectives and behaviours into AI development. By providing this crucial human data infrastructure, Prolific is positioning itself at the forefront of the next wave of AI innovation – one that reflects the breadth and the best of humanity.

*Participants are self-employed and need to declare earnings to their respective tax authorities. Prolific has no liability for any tax obligations or reporting requirements resulting from compensation received through this platform. Each participant is solely responsible for compliance with applicable tax laws in their jurisdiction.

Links to more information on Prolific

Website

Youtube

Privacy Statement

By submitting your application, you agree that Prolific may collect your personal data for recruiting and global organisation planning. Prolific's Candidate Privacy Notice explains what personal information Prolific may process, where Prolific may process your personal information, its purposes for processing your personal information, and the rights you can exercise over Prolific use of your personal information.

AI Trainer – Research Scientists

About Prolific

Prolific is not just another player in the AI space – we are building the biggest pool of quality human data in the world.

Over 35,000 AI developers, researchers, and organizations use Prolific to gather data from paid study participants with a wide variety of experiences, knowledge, and skills.

The role

We’re looking for people with Research Scientist experience to work as self-employed AI Trainers to help train and evaluate cutting-edge AI models from some of the world’s biggest AI labs. If you have the necessary experience, we’ll send you a quick 10- to 15-minute test to assess your skills and suitability for AI tasks. If successful, you’ll be invited to join Prolific as a Domain Expert participant, where you’ll get paid to train and evaluate powerful AI models.

Researchers looking for your skills tend to pay up to £50/hr subject to the length of tasks available. If successful, you must be prepared to complete paid tasks that require one hour of uninterrupted work, though many are shorter.

What you’ll be doing in the role

Completing AI training tasks such as analyzing, editing, and writing research-focused content
Judging the performance of AI on research design, methodology, and scientific reasoning prompts
Improving cutting-edge AI models using your experience in research and experimentation

What you’ll bring

Experience working as a Research Scientist or in a closely related research role
A strong understanding of scientific methodology, experimental design, and data analysis
A willingness to take our skills verification test to assess your suitability for our Domain Expert participant pool
Strong attention to detail and the ability to concentrate on complex tasks for up to one hour at a time
A reliable and fast internet connection and access to a computer
A Paypal account to receive payment from our clients*

Why Prolific is a great platform to join as a Domain Expert participant

Joining our platform as a Prolific participant will give you the chance to influence the AI models of the future. Once you pass our assessment, you can join Prolific in just 15 minutes, and start enjoying competitive pay rates, flexible hours, and the ability to work from home.

We've built a unique platform that connects researchers and companies with a global pool of participants, enabling the collection of high-quality, ethically sourced human behavioural data and feedback. This data is the cornerstone of developing more accurate, nuanced, and aligned AI systems.

We believe that the next leap in AI capabilities won't come solely from scaling existing models, but from integrating diverse human perspectives and behaviours into AI development. By providing this crucial human data infrastructure, Prolific is positioning itself at the forefront of the next wave of AI innovation – one that reflects the breadth and the best of humanity.

*Participants are self-employed and need to declare earnings to their respective tax authorities. Prolific has no liability for any tax obligations or reporting requirements resulting from compensation received through this platform. Each participant is solely responsible for compliance with applicable tax laws in their jurisdiction.

Links to more information on Prolific

Website

Youtube

Privacy Statement

By submitting your application, you agree that Prolific may collect your personal data for recruiting and global organisation planning. Prolific's Candidate Privacy Notice explains what personal information Prolific may process, where Prolific may process your personal information, its purposes for processing your personal information, and the rights you can exercise over Prolific use of your personal information.

AI Trainer – Research Scientists

About Prolific

Prolific is not just another player in the AI space – we are building the biggest pool of quality human data in the world.

Over 35,000 AI developers, researchers, and organizations use Prolific to gather data from paid study participants with a wide variety of experiences, knowledge, and skills.

The role

We’re looking for people with Research Scientist experience to work as self-employed AI Trainers to help train and evaluate cutting-edge AI models from some of the world’s biggest AI labs. If you have the necessary experience, we’ll send you a quick 10- to 15-minute test to assess your skills and suitability for AI tasks. If successful, you’ll be invited to join Prolific as a Domain Expert participant, where you’ll get paid to train and evaluate powerful AI models.

Researchers looking for your skills tend to pay up to $50/hr subject to the length of tasks available. If successful, you must be prepared to complete paid tasks that require one hour of uninterrupted work, though many are shorter.

What you’ll be doing in the role

Completing AI training tasks such as analyzing, editing, and writing research-focused content
Judging the performance of AI on research design, methodology, and scientific reasoning prompts
Improving cutting-edge AI models using your experience in research and experimentation

What you’ll bring

Experience working as a Research Scientist or in a closely related research role
A strong understanding of scientific methodology, experimental design, and data analysis
A willingness to take our skills verification test to assess your suitability for our Domain Expert participant pool
Strong attention to detail and the ability to concentrate on complex tasks for up to one hour at a time
A reliable and fast internet connection and access to a computer
A Paypal account to receive payment from our clients*

Why Prolific is a great platform to join as a Domain Expert participant

Joining our platform as a Prolific participant will give you the chance to influence the AI models of the future. Once you pass our assessment, you can join Prolific in just 15 minutes, and start enjoying competitive pay rates, flexible hours, and the ability to work from home.

We've built a unique platform that connects researchers and companies with a global pool of participants, enabling the collection of high-quality, ethically sourced human behavioural data and feedback. This data is the cornerstone of developing more accurate, nuanced, and aligned AI systems.

We believe that the next leap in AI capabilities won't come solely from scaling existing models, but from integrating diverse human perspectives and behaviours into AI development. By providing this crucial human data infrastructure, Prolific is positioning itself at the forefront of the next wave of AI innovation – one that reflects the breadth and the best of humanity.

*Participants are self-employed and need to declare earnings to their respective tax authorities. Prolific has no liability for any tax obligations or reporting requirements resulting from compensation received through this platform. Each participant is solely responsible for compliance with applicable tax laws in their jurisdiction.

Links to more information on Prolific

Website

Youtube

Privacy Statement

By submitting your application, you agree that Prolific may collect your personal data for recruiting and global organisation planning. Prolific's Candidate Privacy Notice explains what personal information Prolific may process, where Prolific may process your personal information, its purposes for processing your personal information, and the rights you can exercise over Prolific use of your personal information.

Research Scientist – Controlled 3D Generation

Location: Remote

About the Role

We’re seeking a Research Scientist passionate about 3D generation, flow matching, and diffusion models. You’ll help advance the frontier of controllable 3D content creation—building models that generate consistent, editable, and physically grounded 3D assets and scenes.

What You’ll Do

• Conduct cutting-edge research on flow-matching, diffusion, and score-based methods for 3D generation and reconstruction.
• Design and implement scalable training pipelines for controllable 3D generation (meshes, Gaussians, NeRFs, voxels, implicit fields).
• Develop techniques for conditioning and control (text, sketch, pose, camera, physics) and multi-view consistency.
• Analyse model behaviour through ablations, visualisations, and quantitative metrics.
• Collaborate with cross-disciplinary research, graphics, and infrastructure teams to translate research into production-ready systems.
• Publish results at top-tier venues and work with interns.

What You Bring

• PhD (or equivalent experience) in Machine Learning, Computer Vision, or Computer Graphics.
• Published work on diffusion, flow-matching, or score-based generative models (2D or 3D).
• Strong engineering and problem-solving abilities: experience with PyTorch, JAX, or CUDA-level optimisation.
• Understanding of 3D representations (meshes, Gaussians, signed-distance fields, volumetric grids, implicit networks).
• Solid grasp of geometry processing, multi-view consistency, and differentiable rendering.
• Ability to scale experiments efficiently and communicate complex results clearly.

Bonus / Preferred

• Experience generating coherent 3D scenes with multiple interacting objects, lighting, and spatial layout.
• Familiarity with scene-level control (object placement, camera path, simulation, or text-to-scene composition).
• Knowledge of video-to-3D, image-to-scene, or 4D temporal generation.
• Background in physically-based rendering, simulation, or world-model architectures.
• Track record of impactful publications or open-source releases.

Equal Employment Opportunity:

We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or other legally protected statuses.

Multimodal Generative AI Researcher

Location: Remote 

About the Role

We’re looking for a Research Scientist with deep expertise in training and fine-tuning large Vision-Language and Language Models (VLMs / LLMs) for downstream multimodal tasks. You’ll help push the next frontier of models that reason across vision, language, and 3D, bridging research breakthroughs with scalable engineering.

What You’ll Do

• Design and fine-tune large-scale VLMs / LLMs — and hybrid architectures — for tasks such as visual reasoning, retrieval, 3D understanding, and embodied interaction.
• Build robust, efficient training and evaluation pipelines (data curation, distributed training, mixed precision, scalable fine-tuning).
• Conduct in-depth analysis of model performance: ablations, bias / robustness checks, and generalisation studies.
• Collaborate across research, engineering, and 3D / graphics teams to bring models from prototype to production.
• Publish impactful research and help establish best practices for multimodal model adaptation.

What You Bring

• PhD (or equivalent experience) in Machine Learning, Computer Vision, NLP, Robotics, or Computer Graphics.
• Proven track record in fine-tuning or training large-scale VLMs / LLMs for real-world downstream tasks.
• Strong engineering mindset — you can design, debug, and scale training systems end-to-end.
• Deep understanding of multimodal alignment and representation learning (vision–language fusion, CLIP-style pre-training, retrieval-augmented generation).
• Familiarity with recent trends, including video-language and long-context VLMs, spatio-temporal grounding, agentic multimodal reasoning, and Mixture-of-Experts (MoE) fine-tuning.
• Awareness of 3D-aware multimodal models — using NeRFs, Gaussian splatting, or differentiable renderers for grounded reasoning and 3D scene understanding.
• Hands-on experience with PyTorch / DeepSpeed / Ray and distributed or mixed-precision training.
• Excellent communication skills and a collaborative mindset.

Bonus / Preferred

• Experience integrating 3D and graphics pipelines into training workflows (e.g., mesh or point-cloud encoding, differentiable rendering, 3D VLMs).
• Research or implementation experience with vision-language-action models, world-model-style architectures, or multimodal agents that perceive and act.
• Familiarity with efficient adaptation methods — LoRA, adapters, QLoRA, parameter-efficient finetuning, and distillation for edge deployment.
• Knowledge of video and 4D generation trends, latent diffusion / rectified flow methods, or multimodal retrieval and reasoning pipelines.
• Background in GPU optimisation, quantisation, or model compression for real-time inference.
• Open-source or publication track record in top-tier ML / CV / NLP venues.

Equal Employment Opportunity:

We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or other legally protected statuses.

Join the core team at Eclipse, where we’re building an AI agent-first marketplace that connects intelligence with real-world tasks, starting with data collection and labeling. We are seeking a Data Scientist to establish the foundation for how our data is labeled, processed, and prepared for consumption by next-generation Large Language Models (LLMs). Your work will be critical in transforming our raw data collections into valuable, AI-ready datasets.

Qualifications 

• Proven experience as a Data Scientist or Machine Learning Engineer with a focus on data quality and preparation.
• Strong understanding of data labeling methodologies and hands-on experience with data annotation platforms and workflows.
• Demonstrated experience preparing datasets for training and fine-tuning Large Language Models (LLMs), including knowledge of techniques like tokenization, embeddings, and NER.
• Proficiency in Python and common data science libraries (e.g., Pandas, NumPy, Scikit-learn, spaCy, Hugging Face).
• Experience using APIs/SDKs to automate data annotation and active learning loops.
• Excellent communication skills, with an ability to create clear documentation for technical and non-technical audiences.

Responsibilities 

• Develop Data Labeling Strategies: Design and document a formal data annotation strategy, including clear, scalable, and efficient guidelines for labeling our data. Define and enforce quality metrics, including inter-annotator agreement.
• Optimize for LLM Consumption: Research, define, and prototype the optimal data formats, structures, and pre-processing steps required for fine-tuning and training LLMs on our datasets.
• Data Quality Analysis: Establish automated processes and metrics to analyze the quality of both raw and labeled data, providing feedback to improve our data collection and labeling workflows.
• Collaborate with Engineering: Work closely with the engineering team to guide the implementation of data processing pipelines and ensure the data infrastructure meets the needs of ML applications.

Nice-to-Haves

• Experience with audio data processing and relevant libraries.
• Familiarity with data annotation platforms and tools.
• Knowledge of modern MLOps principles and practices.
• Experience with large language model data curation and Reinforcement Learning from Human Feedback (RLHF) pipelines.

Join the Eclipse team!

Eclipse is building the fastest Ethereum Layer 2, powered by the Solana VM. Our general-purpose L2 combines the best of the modular stack without sacrificing UX or fragmenting liquidity. On top of this foundation, we’re building apps in-house and iterating quickly to find breakout consumer and AI experiences. We’re backed by top investors including Polychain, Tribe Capital, Placeholder, and DBA.

• Opportunity. We believe blockchains should be fast AND highly usable. You’ll do high-impact work to enhance Ethereum’s scalability, shaping the future of crypto
• Flexibility. We collaborate synchronously and asynchronously, across weekly all-hands meetings, Slack messaging, and quarterly in-person meetups
• Team. Our founding team has experience launching and scaling blue-chip projects such as dYdX, Uniswap, and zkSync. We’re backed by leading funds and leaders including Polychain, Tribe, Placeholder, DBA, Mustafa Al-Bassam, Tarun Chitra, Meltem Demirors, and others
• Culture. As an early member of our team, you’ll have a unique opportunity to help shape our culture. We value intellectual honesty, bias towards action, and believe every member plays a key role in achieving our ambitious goals
• Compensation. You’ll receive a competitive salary + equity + benefits package.

Eclipse Laboratories is an equal opportunity employer. We do not discriminate on the basis of race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), national origin, age, disability, genetic information, veteran status, or any other status protected by applicable laws or regulations. All employment decisions are based on qualifications, merit, and business need.