Research Scientist, Foundation Model Job at Prior Labs (Freiburg)

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 Research Scientist, Intelligent Talent Acquisition - Lead Generation & Detection Services

Do you want a role with deep meaning and the ability to make a major impact? As ...

Location

United Kingdom , Edinburgh

Salary:

Not provided

Amazon Pforzheim GmbH

Expiration Date

Until further notice

Requirements

Master's degree, or a PhD and experience in quantitative field research
Experience investigating the feasibility of applying scientific principles and concepts to business problems and products
5+ years of experience in applied selection research, job analysis, test development, and validation
Foundational skills in conducting experimental research studies and data analysis
Proficiency in scripting for data analysis (e.g., R, Python)

Job Responsibility

Partner on design and development of AI-powered systems to scale job analyses enterprise-wide
Match potential candidates to the jobs they’ll be most successful in
Conduct validation research for top-of-funnel AI-based evaluation tools
Develop and implement novel research strategies using the latest technology
Build solutions while experiencing Amazon’s customer-focused culture
Work with diverse groups of people and inter-disciplinary cross-functional teams to solve complex business problems

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

Product Marketing Manager for AI Cloud Providers and Foundation Model Builders

Product Marketing Manager for AI Cloud Providers and Foundation Model Builders –...

Location

United States

Salary:

Not provided

VAST Data

Expiration Date

Until further notice

Requirements

8+ years of proven experience in product or solution marketing within cloud services, AI/ML platforms, large-scale data infrastructure, data storage, operating systems, or related fields, with a strong understanding of 'as-a-Service' GTM models and/or the needs of large-scale AI research and development
Deep understanding of infrastructure for cloud service providers and/or large-scale AI training/inference clusters, including multi-tenant architectures, service orchestration, distributed computing, virtualization, containers, and unified file/object storage solutions at petabyte to exabyte scale
Familiarity with modern AI/ML data pipelines, the lifecycle of Foundation Models (data ingestion, pre-processing, training, fine-tuning, inference), and analytics workloads, and how they are delivered as cloud services or built in dedicated environments
Strong expertise in aligning complex technical solutions like the VAST AI OS with business-driven objectives for both AI Cloud Providers (e.g., service differentiation, new revenue streams, TCO reduction) and Foundation Model Builders (e.g., faster time-to-model, research breakthroughs, efficient scaling, optimized resource utilization)
Exceptional communication skills, with proven ability to articulate technical concepts clearly to both technical and business audiences
Demonstrated success developing and executing impactful marketing strategies and campaigns
Highly collaborative with a proactive approach to managing cross-functional projects
Willingness to travel for customer engagements, industry events, and internal meetings

Job Responsibility

Develop and execute strategic go-to-market plans tailored to AI Cloud Providers and Foundation Model Builders for the VAST AI OS
Craft compelling, differentiated messaging and positioning for the VAST AI OS that resonates with stakeholders at AI Cloud Providers (product management, service architects, business development) and at organizations building Foundation Models (AI researchers, MLOps engineers, data scientists, infrastructure leads)
Conduct market analysis, identifying trends, threats, and opportunities in the AI cloud services, large-scale AI model development, and underlying data infrastructure landscape, relevant to the VAST AI OS
Translate complex technical features of the VAST AI OS into clear benefits for AI Cloud Providers (service differentiation, revenue opportunities, TCO) and for Foundation Model Builders (accelerated training, reduced data management overhead, faster iteration cycles, scalable deployment)
Serve as an expert resource on architectures for AI cloud services and large-scale model development, including multi-tenancy, service orchestration, distributed training, high-performance data pipelines, and how the VAST AI OS underpins these for AI-as-a-Service and Foundation Model lifecycles, emphasizing unified file and object storage, data protection, compliance, and security
Collaborate closely with Product Management and Engineering to influence the VAST AI OS roadmap and direction based on the unique requirements of AI Cloud Providers, Foundation Model Builders, and market insights for AI services and model development
Create high-impact sales tools, presentations, reference architectures, product demonstrations, webinars, and training materials for the VAST AI OS that effectively communicate technical and business advantages to and through AI Cloud Providers, and directly to organizations building Foundation Models
Support partner development, sales teams, and direct engagement efforts with strategic responses to AI Cloud Provider opportunities, Foundation Model initiatives leveraging the VAST AI OS, and joint RFI/RFPs
Engage regularly with AI Cloud Providers and key players in the Foundation Model ecosystem to capture insights, validate VAST AI OS positioning, and foster advocacy and joint marketing opportunities
Produce influential content for the VAST AI OS including whitepapers, case studies, solution briefs, blogs, and FAQs tailored to AI Cloud Provider and Foundation Model Builder audiences and their respective customers or users

Fulltime

New

Research Scientist / Engineer — Foundation Model

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

Location

United States , Palo Alto

Salary:

Not provided

Luma AI

Expiration Date

Until further notice

Requirements

Strong foundation in machine learning, foundation models and agentic systems
Deep understanding of agentic systems and approaches in LLM/VLM reasoning, coding models, LLM/VLM tool calling
Hands-on experience with PyTorch and large-scale training (distributed, mixed precision, large datasets)
Able to contribute continuous 6 months in the internship

Job Responsibility

Architect large-scale multimodal agentic models that use reasoning, planning, coding, and tool calling to achieve complex, multi-step multimodal work
Design, implement, and run robust data pipelines for constructing, enriching, and filtering agentic datasets
Train large-scale multimodal agents on massive datasets and GPU clusters
Define and build novel evaluation frameworks to measure multimodal agents

Fulltime

New

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 – 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, Foundation Model

Prior Labs

Location:
Germany; United States , Freiburg ▼
Berlin
San Francisco
New York

Category:
Research and Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Additional Information:

Job Posted:
February 21, 2026

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Job Posted:February 21, 2026

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