Research Scientist / Engineer — Foundation Model Job at Luma AI (Palo Alto)

Research Manager, Foundation Models

We are building AI to simulate the world through merging art and science. We bel...

Location

United States

Salary:

360000.00 - 450000.00 USD / Year

Runway

Expiration Date

Until further notice

Requirements

5+ years of industry experience as a research scientist in computer vision
1+ year managing teams
High emotional intelligence and experience mentoring and supporting the career growth of other researchers
Good understanding of how to communicate goals, drive the execution of projects, and inspire through others
Experience in translating product and business objectives into technical strategies
Deep interest in productionizing state of the art ML research

Job Responsibility

Manage and grow Runway’s Applied ML Research team to create cutting-edge machine learning tools for AI-based content creation
Work with the rest of the engineering organization to oversee the transition from research into production
Work with the Product team to initiate and develop research projects that deliver clear user value

Fulltime

Foundational Research Scientist

We’re creating a world-class academic-industrial hybrid research group to advanc...

Location

United States , Palo Alto

Salary:

252000.00 - 400000.00 USD / Year

AppLovin

Expiration Date

Until further notice

Requirements

PhD (or equivalent research experience) in CS, ML, Statistics, or related field
Strong background in deep learning
Proven track record of research excellence (publications, awards, impactful projects)
Proficiency in Python and modern ML frameworks (PyTorch)
Experience with large-scale data and experimentation

Job Responsibility

Drive foundational research to create new recommendation models and paradigms
Leverage rich live user data and large-scale compute to validate models rapidly
Collaborate closely with engineering and product teams to operationalize research
Publish findings and contribute to the broader ML and RecSys community

What we offer

Competitive total compensation package with a pay for performance rewards approach
Equity, and other forms of incentive compensation (as applicable)
Dental, vision, and other benefits

Senior People Scientist

The Sr People Scientist is responsible for supplying to the development of an en...

Location

United States , Bellevue

Salary:

127700.00 - 230300.00 USD / Year

T-Mobile

Expiration Date

Until further notice

Requirements

Bachelor's Degree Quantitative Subject area (math, statistics, economics, computer science, physics, engineering)
Master's/Advanced Degree Quantitative Subject area (I-O Psychology
Behavioral Economics
Applied Social Psychology w/emphases on research science and advanced statistics)
Doctorate Quantitative Discipline (I-O Psychology
Behavioral Economics
Applied Social Psychology w/emphases on research science and advanced statistics)
7-10 years Research science or related experience
Proven experience with Gen AI for foundational models and LLM and demonstrating for analytics
4-7 years Combination of deep technical skills and business savvy to interface and influence all levels and fields

Job Responsibility

Support the vision and research science roadmap in collaboration with the HR leadership team and senior leadership partners
Collaborate in identifying and addressing large-scale, sophisticated business problems related to employee experience, talent, and organizational capability
Drive the development and integration of diverse and complex data sources for advanced and sophisticated qualitative and quantitative modeling
Contribute to maintaining high standards in research science, including supporting the mentoring and development of team members
Develop and implement network analytics, AI/ML, and Deep Learning models to analyze sophisticated datasets and support innovation in people science
Build and run true A/B and quasi-experimental designs to assess the impact of mechanisms, programs, and various tested solutions that align to the overall T-Mobile people strategy
evaluate research initiatives to provide bottom line value, return on investment and improvements
Translate technical research findings into clear, concise, and engaging reports that support decisions and applications across the employee lifecycle
Collaborate with multiple teams and account teams to influence, build consensus, and drive significant T-Mobile wide changes related to applying research science proposals and recommendations, including changes to programs, engineering and system needs, and people strategy roadmaps

What we offer

medical, dental and vision insurance
flexible spending account
401(k)
employee stock grants
employee stock purchase plan
paid time off
up to 12 paid holidays
paid parental and family leave
family building benefits
back-up care

Fulltime

Research Engineer / Research Scientist - Foundations Retrieval Lead

The Foundations Research team works on high-risk, high-reward ideas that could s...

Location

United States , San Francisco

Salary:

445000.00 - 555000.00 USD / Year

OpenAI

Expiration Date

Until further notice

Requirements

Proven experience leading high-performance teams of researchers or engineers in ML infrastructure or foundational research
Deep technical expertise in representation learning, embedding models, or vector retrieval systems
Familiarity with transformer-based LLMs and how embedding spaces can interact with language model objectives
Research experience in areas such as contrastive learning, supervised or unsupervised embedding learning, or metric learning
A track record of building or scaling large machine learning systems, particularly embedding pipelines in production or research contexts
A first-principles mindset for challenging assumptions about how retrieval and memory should work for large models

Job Responsibility

Lead research into embedding models and retrieval systems optimized for grounding, relevance, and adaptive reasoning
Manage a team of researchers and engineers building end-to-end infrastructure for training, evaluating, and integrating embeddings into frontier models
Drive innovation in dense, sparse, and hybrid representation techniques, metric learning, and learning-to-retrieve systems
Collaborate closely with Pretraining, Inference, and other Research teams to integrate retrieval throughout the model lifecycle
Contribute to OpenAI’s long-term vision of AI systems with memory and knowledge access capabilities rooted in learned representations

What we offer

Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts
Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)
401(k) retirement plan with employer match
Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)
Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees
13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)
Mental health and wellness support
Employer-paid basic life and disability coverage
Annual learning and development stipend to fuel your professional growth
Daily meals in our offices, and meal delivery credits as eligible

Fulltime

Research Scientist / Engineer – Foundation Model: Core Research

This is a rare and foundational opportunity to define the future of multimodal A...

Location

United States , Palo Alto

Salary:

250000.00 - 450000.00 USD / Year

Luma AI

Expiration Date

Until further notice

Requirements

A Bachelor's, Master's, or PhD degree in Computer Science, Machine Learning, Physics, or Mathematics is essential
A 'first-principles' intuition for scaling
Fluent in the language of frontier AI
Proven ability to design and rigorously analyze experiments and to articulate complex technical concepts effectively
Practical experience with distributed or high-performance computing environments, particularly managing and optimizing training runs on large-scale GPU clusters

Job Responsibility

Unified Modeling & Efficiency Drive the core research that powers all of Luma's products — co-designing multimodal representations, advancing core algorithms for long-context training, and establishing rigorous scaling laws to predict performance across compute budgets
Alignment & Evaluation Close the gap between training loss and user experience. Develop proxy tasks and automated metrics that serve as the compass for research decisions — ensuring our models optimize for what actually matters to users, not just benchmarks
Research Infrastructure Build the engine for high-velocity research. Maintain production-research parity, ensure reproducibility, and design systems for rapid experimentation — so that novel ideas go from hypothesis to validated result as fast as possible

Fulltime

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

Senior AI Applied Scientist

As a Senior AI Applied Scientist for The Customer Service Applications Team, you...

Location

United States , Redmond

Salary:

119800.00 - 234700.00 USD / Year

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 4+ years related experience (e.g., statistics predictive analytics, research)
OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research)
OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 1+ year(s) related experience (e.g., statistics, predictive analytics, research)
OR equivalent experience
1+ years of experience with generative AI OR LLM/ML algorithms
1+ research and implement state-of-the-art using foundation models, prompt engineering, RAG, graphs, multi-agent architectures, as well as classical machine learning techniques
Ability to meet Microsoft, customer and/or government security screening requirements are required for this role
These requirements include but are not limited to the following specialized security screenings: - Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter

Job Responsibility

Bringing the State of the Art to Products
Build collaborative relationships with product and business groups to deliver AI-driven impact
Research and implement state-of-the-art using foundation models, prompt engineering, RAG, graphs, multi-agent architectures, as well as classical machine learning techniques
Fine-tune foundation models using domain-specific datasets
Evaluate model behavior on relevance, bias, hallucination, and response quality via offline evaluations, shadow experiments, online experiments, and ROI analysis
Build rapid AI solution prototypes, contribute to production deployment of these solutions, debug production code, support MLOps/AIOps
Contribute to papers, patents, and conference presentations
Translate research into production-ready solutions and measure their impact through A/B testing and telemetry that address customer needs
Ability to use data to identify gaps in AI quality, uncover insights and implement PoCs to show proof of concepts
Leveraging Research in real-world problems

Fulltime

Research Scientist / Engineer – Pre-training / Scaling

At Luma, the Pre-Training / Scaling team is responsible for building the core mu...

Location

United States , Palo Alto

Salary:

187500.00 - 395000.00 USD / Year

Luma AI

Expiration Date

Until further notice

Requirements

Expertise in Python and PyTorch with experience building ML models from scratch
Deep understanding of multimodal generative models and deep learning architectures
(Preferred) Strong research track record in generative AI with published work in top-tier venues preferred
(Preferred) Experience with large-scale distributed training systems

Job Responsibility

Lead cutting-edge research in multimodal foundation models spanning video, image, text, and audio
Design and implement novel algorithms, architectures, and techniques for large-scale generative AI models
Develop training methodologies for foundation models across thousands of GPUs
Research and implement state-of-the-art techniques in Autoregressive LLMs, Vision Language Models, and / or Diffusion Models
Collaborate with cross-functional teams to transition research into production systems

Fulltime

Research Scientist / Engineer — Foundation Model

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:
February 16, 2026

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