Research Scientist / Engineer – Foundation Model: Core Research Job at Luma AI (Palo Alto)

Member of technical staff - Research - Agent

About H: H exists to push the boundaries of superintelligence with agentic AI. B...

Location

France; United Kingdom , Paris; London

Salary:

Not provided

H Company

Expiration Date

Until further notice

Requirements

Senior Experience: Previous demonstrable role(s) as a Staff, Principal, or Senior Engineer (or equivalent Research Scientist) in a Frontier AI Lab with a proven track record of leading complex, end-to-end AI/ML projects from conception to production
Education / Publication: Preferably PhD (or equivalent research experience) in Machine Learning, Computer Science, or a related field, preferably with a strong publication record (e.g., NeurIPS, ICML, ICLR) in Computer Science
Core Expertise: Deep theoretical and practical expertise in Agentic AI and proven experience building, scaling, and shipping solutions involving foundation models (LLMs/VLMs)
Soft Skills: Collaborative: Enjoys collaboration and thrives in a teamwork-oriented, fast-paced research environment
High-Impact Communicator: Possesses impactful communication skills, with the ability to bridge the gap between research and engineering and articulate complex ideas clearly
Mission-Driven: Genuinely eager to explore and solve the new engineering and research challenges at the frontier of agentic AI

Job Responsibility

Research & Leadership: Design and develop new agents, proposing new research directions, e.g., combining state-of-the-art RL with foundation models (LLMs/VLMs)
Algorithm & Systems Design: Design, implement, and scale complex, high-performance systems for training large-scale agents. This includes both the foundational infrastructure and the novel algorithms, reward models, and sophisticated training environments
Research-to-Production: Collaborate closely with researchers and engineers to implement, test, and productionize new agent logics, learning algorithms, and system architectures
Evaluation & Reliability: Create, manage, and scale massive benchmarks and evaluation systems to rigorously track agent capabilities. You will own system reliability, scalability, and observability for our entire research infrastructure
Mentorship & Standards: Mentor and guide other engineers and researchers on the team, fostering technical excellence. You will establish and enforce engineering standards, tooling, and best practices for both code and research design
Innovation: Conduct thorough code and design reviews, champion technical innovation, and proactively address technical debt to accelerate the R&D lifecycle

What we offer

Join the exciting journey of shaping the future of AI, and be part of the early days of one of the hottest AI startups
Collaborate with a fun, dynamic, and multicultural team, working alongside world-class AI talent in a highly collaborative environment
Enjoy a competitive salary
Unlock opportunities for professional growth, continuous learning, and career development

Fulltime

Staff Machine Learning Engineer

We are seeking a Staff Machine Learning Engineer to join our Foundation AI team....

Location

United States , Boston

Salary:

170000.00 - 230000.00 USD / Year

Whoop

Expiration Date

Until further notice

Requirements

Advanced degree (Master’s or Ph.D.) in Computer Science, Machine Learning, Electrical Engineering, or a related field, or equivalent professional experience
7+ years of experience in applied ML, AI research, or large-scale modeling, with a track record of delivering production systems
Expertise in modern deep learning (e.g., transformers, state space models) and multimodal model training
Proficiency in Python and deep learning frameworks (e.g., PyTorch, TensorFlow)
Experience building and scaling large datasets and training large models in distributed compute environments
Strong applied experience with representation learning, self-supervised methods, and fine-tuning for downstream applications
Familiarity with MLOps best practices including model versioning, evaluation, CI/CD for ML, and cloud-based compute
Excellent communication skills and ability to collaborate cross-functionally with engineers, researchers, and product teams
Passion for WHOOP’s mission to improve human performance and extend healthspan through science and technology

Job Responsibility

Design, train, and optimize large-scale multimodal foundation models that integrate wearable sensor data, text, biomarkers, and behavioral data
Conduct applied research in self-supervised learning, representation learning, and downstream task fine tuning to advance WHOOP’s core model capabilities
Develop scalable, distributed training pipelines for large models on high-performance compute environments
Collaborate with MLOps, data engineering, and software engineering teams to operationalize models for production deployment, ensuring robustness, reproducibility, and observability
Partner with product and research teams to translate foundation model capabilities into downstream features that deliver meaningful member value
Contribute to the technical roadmap and architectural direction for foundation model development at WHOOP
Serve as a technical mentor for other data scientists, sharing best practices in deep learning, large-scale training, and multimodal data integration
Ensure models adhere to WHOOP’s standards for ethical, transparent, and privacy-preserving AI

What we offer

competitive base salaries
meaningful equity
benefits
generous equity package

Fulltime

AI Research Scientist, Computer Vision - Facebook Video Intelligence

The Video Intelligence team is an applied AI research team within the Facebook p...

Location

United States , Menlo Park

Salary:

154000.00 - 217000.00 USD / Year

AI Research Scientist, Computer Vision - Facebook Video Intelligence

The Video Intelligence team is an applied AI research team within the Facebook p...

Location

United States , Bellevue

Salary:

122000.00 - 181000.00 USD / Year

Distinguished Applied Researcher

At Capital One, we are creating trustworthy and reliable AI systems, changing ba...

Location

United States , McLean; San Francisco; New York; Cambridge; San Jose

Salary:

278400.00 - 381300.00 USD / Year

Capital One

Expiration Date

Until further notice

Requirements

PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 4 years of experience in Applied Research or M.S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 6 years of experience in Applied Research
PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields
LLM
PhD focus on NLP or Masters with 10 years of industrial NLP research experience
Core contributor to team that has trained a large language model from scratch (10B + parameters, 500B+ tokens) or through continued pre-training, post training pipeline for alignment and reasoning, LLM optimizations, complex reasoning with multi-agentic LLMs
Numerous publications at ACL, NAACL and EMNLP, Neurips, ICML or ICLR on topics related to the pre-training of large language models (e.g. technical reports of pre-trained LLMs, SSL techniques, model pre-training optimization)
Has worked on an LLM (open source or commercial) that is currently available for use
Demonstrated ability to guide the technical direction of a large-scale model training team
Experience with common training optimization frameworks (deep speed, nemo)
Experience contributing to the team that has trained a large language model from scratch (10B + parameters, 500B+ tokens) or through continued pre-training, post training pipeline for alignment and reasoning, LLM optimizations, complex reasoning with multi-agentic LLMs

Job Responsibility

Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI-powered products that change how customers interact with their money
Leverage a broad stack of technologies — Pytorch, AWS Ultraclusters, Huggingface, Lightning, VectorDBs, and more — to reveal the insights hidden within huge volumes of numeric and textual data
Build AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation
Engage in high impact applied research to take the latest AI developments and push them into the next generation of customer experiences
Flex your interpersonal skills to translate the complexity of your work into tangible business goals
Partner with a cross-functional team of scientists, machine learning engineers, software engineers, and product managers to deliver AI-powered platforms and solutions that change how customers interact with their money

What we offer

comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being
performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI)

Fulltime

New

Contextual AI Research Scientist

Reality Labs Research (RL-R) unites an industry-leading team of researchers, dev...

Location

United States , Redmond

Salary:

184000.00 - 257000.00 USD / Year

Applied Scientist / Senior Applied Scientist

Do you want to help build innovative tools that empower AI Agents to achieve the...

Location

Ireland , Dublin

Salary:

Not provided

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND proven years of experience (e.g., statistics, predictive analytics, research)
Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND years related experience (e.g., statistics, predictive analytics, research)
Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND demonstrated years of related experience (e.g., statistics, predictive analytics, research)
equivalent experience
Proven years of experience developing and deploying AI/ML products or systems at multiple points in the product cycle from ideation to shipping
Proven years of experience with transformer-based models (e.g., GPT, Llama)
Coding and hands-on experience working with foundation models
Ability to apply research, preferring the large-scale application of new ideas over theory and prototypes
Demonstrated collaboration and communication skills, both within-team and cross-team, and experience working through problems in ambiguous environments adapting to new research challenges as technology develops
Ability to meet Microsoft, customer and/or government security screening requirements are required for this role

Job Responsibility

Defining, leading, and helping to conduct research projects that simultaneously advance the state-of-the-art and directly benefit Microsoft’s core productivity products
Collaborating and coordinating with people in a range of roles, including researchers, engineers, product managers, designers, and other key product stakeholders
Serving as a bridge between research and product
Teaching, guiding, and tutoring colleagues without research backgrounds in state-of-the-art techniques and research best practices
Many of the things you will try should lead to unexpected outcomes
You must be comfortable learning from experience, developing new hypotheses, and iterating
Sharing your research with others via a range of means, including publication, to enable others to build on your work and to contribute to the understanding of our products as cutting-edge and science driven
Effectively communicating with product leaders (and often MSR researchers) throughout the planning and execution of applied research projects, which often involves learning and teaching complex concepts

Fulltime

FLEX Senior Director, Partner Campaign Reporting Strategy

As a FLEX Senior Director, Partner Campaign Reporting Strategy, you will play a ...

Location

United States , Bethesda, MD

Salary:

70.67 - 109.09 USD / Hour

Marriott Bonvoy

Expiration Date

Until further notice

Requirements

Bachelor’s degree in Marketing, Business, Economics, Data Science, or a related field
Ten or more years of experience in digital media or other digital business with a strong analytical background and experience
Strong knowledge of media channels, marketing technology, marketing operations, audience segmentation, and customer data strategies
Strong understanding of measurement and analytics across digital marketing and media channels, including reporting frameworks and analytical models
Understanding of core measurement science concepts: experimentation and measurement frameworks (A/B testing, matched market, MMM, etc.), statistical sampling techniques and hypothesis testing, power analysis, synthetic control
Strong technical and analytical foundation, with experience in data-driven decision-making and marketing analytics
Proven success in leading people teams, as well as running sophisticated business processes in a fast-paced environment across multiple internal teams
Proven experience presenting analytical insights and answering all technical/data questions for both technical and non-technical stakeholders
Strong strategic and critical thinking skills
strong bias toward data-based decision-making with the ability to break down complex problems and formulate plans

Job Responsibility

Oversee the strategy and execution of partner-facing measurement and reporting initiatives, including defining key KPIs, designing reporting dashboards, and managing a team of Partner Campaign Reporting specialists
Translate campaign and performance data into clear insights and actionable recommendations for advertising partners
Partner effectively with the Sales & Partnerships team to ensure business needs around measurement and reporting are captured and reflected in standardized measurement and reporting templates
Work cross-functionally with internal teams to document and communicate capabilities, oversee and deliver customized reporting solutions, and prioritize analytics requests
Validate all measurement and campaign performance across Marriott’s advertisers
Collaborate with Data Scientists and Engineers to design and build new analytical models, measurement pipelines, and visualization dashboards and tools
Leverage a data-driven approach to evaluate optimization opportunities on reporting capabilities / tools

What we offer

Coverage for medical, dental, vision, health care flexible spending account, dependent care flexible spending account, life insurance, disability insurance, accident insurance, adoption expense reimbursements, paid parental leave, 401(k) plan, stock purchase plan, discounts at Marriott properties, commuter benefits, employee assistance plan, and childcare discounts

Fulltime

Research Scientist / Engineer – Foundation Model: Core Research

Luma AI

Location:
United States , Palo Alto

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Nice to have:

Additional Information:

Job Posted:
March 13, 2026

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