AI/ML Staff Researcher Job at General Motors (Mountain View)

Associate Vice President for Research Computing

The Associate Vice President (AVP) for Research Computing serves as the senior e...

Location

United States of America , Rochester

Salary:

205245.00 - 328392.00 USD / Year

University of Rochester

Expiration Date

Until further notice

Requirements

Bachelor’s degree in a relevant field of study.
Doctoral or advanced degree in a relevant field of study, advanced strongly preferred.
Minimum of 10 years of experience in informatics and computational research, with at least 5 years in a leadership role preferred.
Experience as a faculty member in higher education preferred.
Experience working in research-intensive higher education environment preferred.
Deep understanding of the research lifecycle and advanced knowledge of HPC architectures, scientific software, cloud-based research environments, and large-scale data storage.
Working knowledge of scientific concepts in fields such as biology, biochemistry, genomic, imaging, chemistry, physics and data science / AI
Proven ability to lead large technical teams, foster faculty partnerships, and manage multimillion-dollar research computing portfolios.
Strong communication skills and ability to interact effectively at all organization levels.
Broad IT experience including solutions architecture, application development, engineering, business analysis, and project management.

Job Responsibility

Lead the development and execution of a long-range strategic plan for research computing that supports the university’s R1 research mission, including investments in HPC, research storage, AI/ML environments, cloud platforms, secure data enclaves and staffing.
Collaborate with the Vice President for Research and IT, Deans, and faculty leaders to define institutional priorities, align resources, and support cutting-edge, interdisciplinary research initiatives.
Represent the University in national and international consortia focused on research computing infrastructure, research data governance, and secure research computing.
Serve as a strategic advisor to executive leadership on research policy, funding, and risk management related to advanced research computing.
Oversee Operations, performance, and lifecycle management of the University’s research computing environment, including HPC clusters and cloud platforms.
Lead cross-functional technical teams responsible for system design, user support, research application integration, and compliance with research security standards (e.g.NIST 800-171, FISMA)
Oversee service-level agreements, uptime metrics, downtime and maintenance procedures and communications and annual investment planning to ensure the environment remains resilient, scalable, and aligned with faculty needs.
Act as a campus-wide leader and trusted advisor to faculty and research teams across disciplines, proactively identifying research needs and aligning computational services accordingly.
Lead outreach, onboarding, and education programs that expand awareness of research computing services and improve access and usability for all research teams, especially those in emerging or underserved disciplines.
Oversee consultation and proposal development services that support grant applications, including effort related to compute budgeting, data management planning, and infrastructure letters of support.

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 Machine Learning Scientist, Multimodal & Relational Foundation Models

As part of our team, you will help to accelerate and optimize our progress in de...

Location

United States , Redwood City; San Diego

Salary:

251700.00 - 330000.00 USD / Year

Altos Labs

Expiration Date

Until further notice

Requirements

PhD in Computer Science, Machine Learning, or a similar quantitative field with 5+ years of relevant work experience in academic or industry settings
Prior experience in developing and implementing novel generative AI models, specifically in multimodal integration, GraphRAG, or relational deep learning
Deep understanding of Machine Learning principles and how they apply to diverse architectures like Transformers, GNNs, and diffusion models
Very strong programming skills in Python and deep learning libraries (e.g., PyTorch, JAX, Hugging Face Transformers/Accelerate)
Proven experience with multi-GPU and distributed training at scale (e.g., DDP, FSDP, DeepSpeed, Megatron, or Ray)
Strong track record of published, peer-reviewed innovative AI/ML research at top-tier conferences (NeurIPS, ICML, ICLR, CVPR)

Job Responsibility

Pre-train and fine-tune large-scale machine learning systems using multimodal biological data, natural language, and structured relational inputs
Architect and implement novel hybrid models that integrate Large Language Models (LLMs) with Graph Neural Networks (GNNs) for multi-hop reasoning over biological knowledge graphs
Develop Relational Foundation Models (RFMs) that enable zero-shot predictive tasks over heterogeneous, multi-table biological datasets
Lead the design of efficient data loading strategies and distributed training recipes (e.g., FSDP, DeepSpeed) to train models across multiple GPU nodes
Gain insights into model performance based on theory, deep research, and the mathematical underpinnings of set-invariant and graph-structured architectures
Apply strong coding experience to model development and deployment, ensuring research prototypes transition into reliable, scalable production systems
Stay up-to-date on the latest developments in deep learning—including native early-fusion and Mixture-of-Experts (MoE) architectures—and apply this knowledge to Altos' research
Mentor junior staff while maintaining a high individual technical contribution to the core research ecosystem and peer-reviewed publications

Fulltime

AI Engineer

The Institute for Informatics and Applied Technology (IIAT) aims to drive facult...

Location

United States , Gonzaga Main Campus, Washington

Salary:

100000.00 - 117600.00 USD / Year

Gonzaga University

Expiration Date

May 31, 2026

Requirements

Two (2) years of specific technology development experience in AI technologies
Demonstrated ability for software development
Demonstrated experience in visual analytics enabled with generative AI technologies
Demonstrated intellectual curiosity for continual learning, discovery and creation to challenge the status quo respectfully
Excellent verbal and written communication skills necessary to communicate with internal and external partners
Demonstrated ability to navigate in higher-ed environment while being adaptive and agile to ensure success of a start-up unit
Demonstrated appreciation for Gonzaga's and IIAT's mission for humanity-centered responsible AI learning and innovation
Bachelor's Degree or Equivalent Experience
3 years of related experience

Job Responsibility

Investigate and Develop AI and ML software, specifically for generative AI enabled visual analytics
Actively work with GU faculty, students, staff, and external partners to investigate and develop specialized AI/ML systems, including generative AI technologies, for teaching, research, and business operations
Independently develop custom AI technology and systems that fit partner's needs
Assist partners to acquire necessary knowledge and skills to use the developed system
Research and report AI/ML and visualization technology advances
Proactively and independently explore and attain specialized AI advances and technologies, including but not limited to LLM architecture, prompt engineering, fine-tuning/alignment, and guard rails, from a variety of sources
Independently apply attained technology advances to support partners' teaching, research, and business operation needs
Independently and regularly investigate advances in generative AI, and report and discuss such advances with the Director and the other IIAT staff
Work closely with the Director and partners to disseminate findings through paper writing, blog posting, git release, and assess commercialization viability to prepare IP documentation if deemed viable
Develop training and learning material

What we offer

relocation reimbursement or a signing bonus

Fulltime

!

Staff Product Security Engineer

We’re seeking a Staff Product Security Engineer with deep AI/ML security experti...

Location

United States , San Francisco

Salary:

250000.00 - 285000.00 USD / Year

Crusoe

Expiration Date

Until further notice

Requirements

8-10 years of deep hands-on experience in offensive security, including manual penetration testing, red team operations, and adversary simulation
Familiarity with modern C2 frameworks (e.g., Cobalt Strike, Sliver, Havoc), exploit development, and security research
Strong expertise across the AI/ML stack, including MLOps, inference architectures, vector databases, RAG, and agentic frameworks (e.g., ReAct, Reflexion)
Experience building, deploying, and securing LLM pipelines and AI workflows in Kubernetes and/or bare-metal environments
Strong software engineering foundations with experience shipping production code in Go, Python, or Rust
Hands-on experience securing Kubernetes, containers, VMs, and CI/CD environments
Deep understanding of application security vulnerabilities, secure coding practices, and distributed system design
Demonstrated ability to lead complex, cross-functional security initiatives end-to-end
Strong communication skills with the ability to influence both engineering teams and executive stakeholders

Job Responsibility

Performing advanced manual penetration testing across complex applications, infrastructure, Kubernetes environments, and distributed microservice ecosystems
Leading offensive security initiatives including red team operations, adversary simulation, and security research
Securing AI/ML systems end-to-end, including LLM pipelines, vector databases, RAG architectures, and agentic workflows
Identifying and researching novel attack surfaces unique to LLMs and autonomous systems, contributing to internal and external AI security research
Influencing secure system design across the SDLC, embedding security into CI/CD pipelines, container images, and deployment workflows
Integrating and operationalizing security tooling (SAST, DAST, SCA, container scanning) and driving remediation of complex application-layer vulnerabilities
Building internal security guardrails such as hardened base images, reusable libraries, and policy-as-code frameworks
Developing production-grade security tooling and leading cross-functional security programs from design through deployment

What we offer

Bonus
Restricted Stock Units are included in all offers

Fulltime

New

Senior Project Officer (Standards and Data Integration)

The position is with UNESCO Institute for Statistics (UIS) in Montreal. The incu...

Location

Canada , Montreal

Salary:

117598.00 USD / Year

UNESCO

Expiration Date

June 12, 2026

Requirements

Advanced university degree (Master's) in statistics, data science, economics, or a related field with a substantial applied statistics / data sciences component
Minimum of seven (7) years of progressively responsible experience in official statistics, data systems, or related fields
Developing statistical standards and classifications
Managing large datasets integration and interoperability
Extensive use of statistical software and data platforms
Proven expertise in statistical framework, standards, methods and tools
Proven expertise in statistical production processes and procedures, including data quality assurance standards and procedures
Strong analytical skills for interpreting data and informed policymaking
Ability to design long term plans and programs in line with strategic priorities
Ability to manage an effective and collaborative team in a multicultural environment

Job Responsibility

Lead the planning, coordination, and execution of the unit's work plan, ensuring alignment with Education's Section strategic priorities
Contribute to the development of statistical processes ensuring efficiency and quality with a system of Key Performance Indicators (KPIs) and clear-cut defined workflows for the production and update of the indicators under the Education Section's responsibility
Take responsibility for the development, revision, and implementation of international statistical standards, classifications, and methodologies
Contribute to the development and application of frameworks such as the International Standard Classification of Education (ISCED)
Contribute to documents that support the work of governance mechanisms including the Education Data and Statistics Commission (EDSC) on the Indicators for SDG 4-Education 2030 (EDSC) and the Inter-agency and Expert Group on SDG Indicators (IAEG-SDGs) as needed
Design and implement frameworks for integrating multi-source data (administrative, survey, assessment, and alternative data sources)
Promote and operationalize interoperability standards (e.g. SDMX, APIs, data exchange protocols)
Lead initiatives to harmonize datasets across domains and countries
Support the development of scalable data architectures (i.e data lakes, warehouses, cloud-based systems)
Contribute to the production of education indicators from household surveys and censuses, ensuring methodological rigor and comparability

What we offer

30 days annual leave
Family allowance
Medical insurance
Pension plan

Fulltime

Senior Staff Research Scientist - Clinical AI Lab

At Doctolib, we're revolutionizing healthcare delivery through advanced AI syste...

Location

France , Paris

Salary:

Not provided

Doctolib

Expiration Date

Until further notice

Requirements

PhD or Master’s degree (plus significant experience) in Computer Science, Machine Learning, Mathematics, or a related field
Publications as first author in top-tier AI/ML conferences such as NeurIPS, ICLR, ICML, ACL, EMNLP, or relevant medical informatics venues are a plus
Deep understanding of machine learning and deep learning concepts, with hands-on experience in NLP, LLMs, or generative AI
Strong programming skills in Python (and ideally experience with ML frameworks such as PyTorch or JAX)
Familiarity with modern data tools and scalable training on large datasets
Track record of independently driving research and translating it into real-world applications
Experience designing experiments, evaluating intrinsic and extrinsic metrics, and iterating quickly
Curiosity and drive to learn, research, and apply new machine learning techniques
Comfortable working in highly cross-functional teams, with the ability to clearly communicate complex concepts to diverse audiences
Passionate about sharing knowledge and contributing to a culture of learning and innovation

Job Responsibility

Solve Real-World Healthcare Challenges: Design and build advanced machine learning models, especially in NLP and large language models, to improve healthcare workflows, enhance patient experiences, and power intelligent health solutions at scale
Innovate & Experiment: Research and prototype novel algorithms and architectures, staying at the forefront of AI/ML developments. Bring new ideas from concept to working prototypes, leveraging the latest advances in deep learning and generative AI
Collaborate Across Teams: Work closely with product, engineering, medical experts, and other stakeholders to translate business needs into impactful research projects. Communicate technical concepts and results clearly to both technical and non-technical audiences
Drive Impact: Analyze large, complex data sets to extract actionable insights, define key metrics, and rigorously evaluate model performance
Share & Learn: Advance Doctolib’s AI expertise by sharing findings within the team and with the wider ML community through publications, talks, and workshops. Mentor and support other scientists and engineers in adopting best practices

What we offer

Free comprehensive health insurance for you and your children
25 days of paid vacation per year, plus up to 14 days of RTT
Free mental health and coaching services through our partner Moka.care
Work from abroad for up to 10 days per year thanks to our flexibility days policy
Lunch vouchers (Swile card) worth €8.50 per working day, with €4.50 covered by Doctolib
A subsidy from the work council to refund part of the membership to a sport club or a creative class
50% reimbursement of your public transport subscription
Parent Care Program: receive one additional month of leave on top of the legal parental leave
For caregivers and workers with disabilities, a package including an adaptation of the remote policy, extra days off for medical reasons, and psychological support
Relocation support in case of international mobility

Fulltime

New

Staff Researcher – Embodied AI and Robotics

GM Israel (Herzliya) takes a significant part in introducing sophisticated softw...

Location

Israel , Herzliya

Salary:

Not provided

General Motors

Expiration Date

Until further notice

Requirements

PhD or MSc with over 10 years of experience in AI, ML, computer science, engineering, physics or relevant areas
Expert-level knowledge in one or more of these areas: deep learning, autonomous agents, large-scale multiagent systems, prediction, distributed optimization, and reinforcement learning
Experience in creating and implementing reinforcement learning algorithms
Expertise in manipulating high-volume, high-dimensional data from varying sources with machine learning techniques
Experience in prototyping algorithms, implementing and testing software on hardware
Programming background: Python, AI/ML environments (PyTorch, TensorFlow, sklearn, etc.)

Job Responsibility

Lead novel applied AI and Controls research focusing on robotics
Develop AI/ML/Controls technologies that will change the future of mobility
Collaborate with world-class universities / industry partners while publishing research outcomes internally and externally
Explore, invent, innovate, implement, evaluate and test algorithms as an independent yet integral member of a research team
Identify research gaps, propose, plan and execute complex research projects
Maintain state-of-the-art technical expertise in AI/ML/Controls
Generate intellectual property, document results and publish papers
Develop requirements and evaluation metrics for AI/ML/Controls
Lead research and/or experiments to validate research ideas in developing
Write timely and high-quality research reports, external publications, and records of invention

Fulltime

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AI/ML Staff Researcher

Job Description

Job Responsibility

Requirements

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