Research Manager, Foundation Models Job at Runway

Strategy and Business Operations Senior Manager

Atlassian is seeking a Strategy and Business Operations Senior Manager to partne...

Location

United States , San Francisco

Salary:

Not provided

Atlassian

Expiration Date

Until further notice

Requirements

8+ years of experience in corporate strategy, product/platform strategy, strategic finance, or similar, and have a foundational understanding of platform and SaaS business models
demonstrated experience in contributing to business case development/strategic recommendations from end-to-end
proficiency in financial modelling and building revenue and cost drivers
experience supporting qualitative and quantitative customer or market research
excellent verbal & written communications skills

Job Responsibility

Drive and influence the long-term vision for Atlassian's user-facing platform capabilities
partner directly with product and go-to-market teams to support the delivery of strategic recommendations and analyses
build financial and analytical models to identify measurable insights, exercise sound business judgement, and develop recommendations to influence and drive consensus across functional leaders
define appropriate goals/OKRs to track progress against strategic objectives
keep a tight pulse on business performance and reporting, including quarterbacking a cross-functional team to diagnose problems when they occur

What we offer

health coverage
paid volunteer days
wellness resources
bonuses
commissions
equity

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

Private Markets Quantitative Modeler

This team provides quantitative modeling solutions for private markets across a ...

Location

United States , New York

Salary:

170000.00 - 225000.00 USD / Year

BlackRock Investments

Expiration Date

May 25, 2026

Requirements

Ph.D. in Finance, Economics, Statistics, or a related quantitative field
3+ years of experience in empirical financial modeling or quantitative research in industry or academia
Strong foundation in empirical modeling, including time-series analysis and Bayesian methods
Proficiency in Python and willingness to adopt new tools, libraries, and technologies
Demonstrated ability to conduct rigorous empirical research, manage complex datasets, and design well-structured analyses
Effective communicator capable of explaining quantitative concepts to diverse audiences and collaborating across technical and nontechnical teams

Job Responsibility

Lead the research, design, and development of new Nowcasting and valuation models across additional private asset classes
Conduct empirical research to calibrate models to private market data and evaluate performance using backtesting, benchmarking, and robustness analysis
Build, maintain, and productionize model codebases, ensuring reliability, transparency, and scalability
Partner with internal stakeholders to define use cases, communicate model behavior and limitations, and support integration into investment and analytics workflows
Contribute to research publications, conference presentations, and client-facing discussions highlighting the team’s modeling innovations
Support broader Private Markets SWAT Team initiatives, including bespoke modeling projects for portfolio management or advisory teams

What we offer

Annual discretionary bonus
Healthcare
Leave benefits
Retirement benefits
Strong retirement plan
Tuition reimbursement
Comprehensive healthcare
Support for working parents
Flexible Time Off (FTO)

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

Senior Scientist – Research Computational Biology Platforms

The ARIA Computational Biology team is seeking a talented and creative computati...

Location

United States , South San Francisco; Boston; Thousand Oaks

Salary:

146404.00 - 198076.00 USD / Year

Amgen

Expiration Date

Until further notice

Requirements

PhD in computational biology, bioinformatics, data science, or a related discipline [and relevant post-doc where applicable]
Master’s degree in computational biology, bioinformatics, data science, or a related discipline and 3 years of relevant research experience
Bachelor’s degree in computational biology, bioinformatics, data science, or a related discipline and 5 years of relevant research experience
Strong programming expertise in Python and R, with proficiency in Linux/Unix environments, cloud computing, HPC, and collaborative development practices (e.g., Git)
Experience developing complex computational tools and visualizations that translate biological insights into actionable strategies
Experience developing and deploying computational tools and pipelines, including use of workflow management systems (e.g., Nextflow), CI/CD practices, and interactive visualization tools (e.g., Shiny/Streamlit)
Strong background in molecular and systems biology
Demonstrated expertise in the analysis and interpretation of single-cell omics data
Experience leveraging and fine-tuning transcriptional foundation models, large language models (LLMs), and biomedical knowledge graphs to advance research objectives
Familiarity with high-value public data resources (e.g., DepMap, Human Cell Atlas, TCGA, GTEx, and Tahoe-100M) used to complement and enhance analyses of internal datasets

Job Responsibility

Developing and applying methods and platforms to discover, prioritize, and validate targets across a broad range of diseases and therapeutic modalities
Designing and building a Precision Targeting Engine that integrates internal and high-value public data into an automated, scalable framework with custom expression analytics across diverse data types and disease areas
Contributing to the design and evolution of Amgen’s preclinical omics data ecosystem in partnership with the Research Informatics team
Evaluating and integrating emerging AI/ML technologies (e.g., biological foundation models), and developing custom research agents to accelerate early pipeline efforts
Partnering with data science and information systems teams to embed tools and analyses developed within ARIA Computational Biology into integrated R&D platforms
Training and mentoring other scientists in the use of advanced research tools and platforms

What we offer

A comprehensive employee benefits package, including a Retirement and Savings Plan with generous company contributions, group medical, dental and vision coverage, life and disability insurance, and flexible spending accounts
A discretionary annual bonus program, or for field sales representatives, a sales-based incentive plan
Stock-based long-term incentives
Award-winning time-off plans
Flexible work models where possible

Fulltime

AI Application Engineer

As an AI Application Engineer at Rearc, you'll contribute to the technical excel...

Location

United States

Salary:

Not provided

Rearc

Expiration Date

Until further notice

Requirements

2+ years of experience in AI engineering, machine learning (ML), or related fields, bringing valuable expertise in building and deploying intelligent systems
Strong understanding of state of the art techniques in generative AI, including large language models (LLMs), text generation and other foundation models
Familiarity with AI orchestration tools (e.g. LangGraph, CrewAI, Bedrock Agents, smolagents, etc)
Experience in fine-tuning, prompt engineering or otherwise adapting generative models for specific use cases
Experience with AI model evaluation, including human-in-the-loop and LLM judge paradigms
Familiarity with NLP libraries and frameworks
Hands-on experience in implementing Retrieval Augmented Generation (RAG) architectures and integrating retrieval systems with generative models
Knowledge of at least one vector store or database (e.g. Opensearch, Pinecone, PostgreSQL with pgvector) and techniques for similarity search
Familiarity with common data ingestion/ETL patterns for populating knowledge bases
Experience with implementing LLM tool calling (either directly, via an orchestration framework, or using Model Context Protocol (MCP) clients)

Job Responsibility

Collaborate with Colleagues – Work closely with colleagues to understand customers' business objectives and technical challenges, contributing to the design and development of effective GenAI solutions tailored to client needs
Apply GenAI Principles – Utilize modern tools and frameworks like LangGraph, to build scalable, reliable, and maintainable Compound AI systems. Leverage your understanding of AI fundamentals to ensure every project meets rigorous industry and ethical standards
Adapt to the latest Technologies & Patterns – continue to research, learn, and stay abreast of the most recent state of the art for AI application development
Promote Knowledge Sharing –Bolster our culture of continuous learning by sharing knowledge about AI engineering best practices through blog posts, articles, and internal talks. Support a collaborative environment that fosters shared expertise and ongoing innovation across our community

Senior Analyst, Econometrics

We are looking for an econometrician to join Mastercard’s Economics Institute’s ...

Location

Czechia , Praha 1

Salary:

Not provided

Mastercard

Expiration Date

Until further notice

Requirements

Creative & passionate about statistics/math, economics, data, technology, and its applications, with an entrepreneurial mindset open to new ideas
A good foundation in different modeling approaches and demonstrated success in managing large models
A demonstrated interest in different machine learning and statistics with the ability to communicate models in a non-technical manner
Expertise in one or more of R, Python, Julia, MATLAB or similar languages
Interest/experience in some of the following: machine learning (supervised and unsupervised), NLP, time series analysis, and text analysis on economic and financial data sets
Quantitative modeling experience 2-4+ years, ideally in a tech, healthcare/financial or academic research field
Good foundation in economics with an advanced degree in math/statistics/quantitative field
Strong collaborator and independent thinker
Previous client facing experience, proficient in synthesizing data to create insights, great storyteller
Excellent at managing multiple projects and tight timelines with an ability to reprioritize as situation might require and staying calm under pressure

Job Responsibility

Develop and improve models across the entire pipeline – from data ingestion to statistical modeling, including macro scenarios, and communicating the results to key stakeholders
Leverage Mastercard data to improve contemporaneous macro forecasting via nowcasting
Improve variable selection and reduction techniques to identify high quality predictive variables
Improve model estimation approaches and model back testing
Identify patterns or anomalies in the datasets being explored, produce concise insights for the Economist to allow fast interpretation of results
Research and integrate econometric and statistical models as needed in order to create insights and compelling visualizations of data trends to develop interactive dashboards/apps for client presentations
Work closely with our customers, client services, economic advisory product and customer teams to translate client pain points/requirements into business and data specifications, clear data structure and eventually a usable data set/model/forecast/insights
Participate in every stage of a project from briefing to ideation, to content development to draft/prototyping, testing, feedback collection and finalization

Fulltime

Senior Product Manager, Foundational AI Research

At Microsoft AI, we are on a mission to train the world’s most capable AI fronti...

Location

United States , Mountain View

Salary:

119800.00 - 234700.00 USD / Year

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Bachelor's Degree AND 8+ years experience in product/service/program management or software development OR equivalent experience
2+ years direct, hands-on collaboration with model researchers and ML engineers in areas such as training runs, data evaluation, infrastructure, coding, or safety
Experience building and shipping data pipelines or evaluation systems personally

Job Responsibility

Identify and prioritize language / coding / multimodal issues and work with researchers to find a path to resolution
Create novel data collection tasks for taskers to evaluate models and to collect training data for fine-tuning
Create model prototypes to prove out new feature directions and scope projects
Collaborate closely with teams on infrastructure, data engineering, pre-training, post-training, and product feedback
Foster a culture of collaboration, continuous improvement, and growth
Advance the AI frontier responsibly

Fulltime

Research Manager, Foundation Models

Runway

Location:
United States

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Additional Information:

Job Posted:
December 11, 2025

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