• Companies
  • News
By technology
  • Python17.1k
  • AWS11.9k
  • Kubernetes8.5k
  • Docker8.2k
  • C++5.7k
  • PostgreSQL5.4k
  • SQL5.1k
By category
  • Backend Developer11.5k
  • DevOps Engineer3.5k
  • Machine Learning Engineer3.3k
  • Full Stack Developer3.2k
  • Data Engineer2.8k
  • Embedded Engineer2.2k
  • Frontend Developer863
By city
  • San Francisco, CA6.2k
  • New York, NY5.6k
  • Seattle, WA1.3k
  • Washington, DC1.2k
  • Toronto, ON1.2k
  • Boston, MA1k
  • Austin, TX1k
Work mode
  • On-site22k
  • Remote10.2k
  • Hybrid7.3k
Job type
  • Full-time38.2k
  • Contract601
  • Part-time529
  • Freelance215
  • internship4
  • seasonal1
Experience
  • Entry level
  • Mid level
  • Senior
  • Staff+
  • Engineering management

The job board for developers. Find your next role at companies that value great engineering.

© 2023-2026 . All rights reserved.

Logos provided by Logo.dev
Add
6,185 matches
NewestHighest base
OpenAI

Research Scientist / Research Engineer - Foundations, Search

today
OpenAI · San Francisco, CA
$380k–850kHybridFull-timePython · Rust
OpenAI

Robotics Software Engineer

today
OpenAI · San Francisco, CA
$255k–325kOn-siteFull-timeRust · C++
OpenAI

Software Engineer, Accelerators

today
OpenAI · San Francisco, CA
$295k–380kOn-siteFull-timePyTorch
OpenAI

Control Systems Software Engineer, Robotics

today
OpenAI · San Francisco, CA
$380k–460kOn-siteFull-timeC++ · Rust
OpenAI

Backend Software Engineer, GTM Innovation

today
OpenAI · San Francisco, CA
$347k–445kOn-siteFull-timePython · Rust
OpenAI

Applied AI Engineer, Startups

today
OpenAI · San Francisco, CA
$211k–278kHybridFull-timePython · JavaScript
OpenAI

Software Engineer, Privacy Engineering

today
OpenAI · San Francisco, CA
$230k–325kOn-siteFull-timePython · Rust
OpenAI

Software Engineer, AI Safety

today
OpenAI · San Francisco, CA
$207k–385kHybridFull-timePython · Terraform
OpenAI

Security Engineer, Application Security

today
OpenAI · New York, NY
$266k–445kHybridFull-timePython · Java
OpenAI

IT Support Specialist

today
OpenAI · San Francisco, CA
On-siteFull-timemacOS · Windows
OpenAI

Security Engineer, Application Security

today
OpenAI · Seattle, WA
$266k–445kHybridFull-timePython · Java
OpenAI

Full Stack Engineer, Fleet Scheduling

today
OpenAI · San Francisco, CA
$230k–490kHybridFull-timeReact · Vue
OpenAI

Researcher, Safety Oversight

today
OpenAI · San Francisco, CA
$380k–500kHybridFull-timePython
OpenAI

Senior Support Engineer - San Francisco

today
OpenAI · San Francisco, CA
$234k–260kHybridFull-timePython
OpenAI

Software Engineer, Hardware Health

today
OpenAI · San Francisco, CA
$250k–445kHybridFull-timePython · SQL
OpenAI

Backend Software Engineer, Gov

today
OpenAI · Washington, DC
$207k–385kHybridFull-timePython · JavaScript
OpenAI

Research Program Manager, Data Acquisition

today
OpenAI · San Francisco, CA
$239k–328kHybridFull-timeSQL · Python
OpenAI

Software Engineer, Resilience Engineering

today
OpenAI · San Francisco, CA
$230k–490kHybridFull-timeKubernetes · Terraform
OpenAI

Head of Data Science, Strategic Finance

today
OpenAI · San Francisco, CA
$459k–536kHybridFull-timePython · Rust
OpenAI

Forward Deployed Software Engineer - SF

today
OpenAI · San Francisco, CA
$185k–325kHybridFull-timePostgreSQL · MySQL
  • Previous
  • 1
  • More pages
  • 199
200
  • 201
  • More pages
  • 310
  • Next
  • OpenAI

    Research Scientist / Research Engineer - Foundations, Search

    OpenAI · 🇺🇸 San Francisco, CA · posted today
    ApplyFull posting

    Extracted from the posting

    Base
    $380,000 – $850,000
    Remote
    San Francisco, CA, hybrid, 3 days in office per week
    Visa
    Offers relocation assistance to new employees
    Stack
    Python, Rust, C++, Kubernetes (company stack)

    TL;DR

    Research Scientist / Research Engineer role on the Search team within Foundations, focused on embedding models and retrieval systems. Work covers embedding training objectives, scalable vector store architectures, and dynamic indexing, supporting retrieval across OpenAI products. Requires experience in representation learning, embedding models, or vector retrieval, and leading high-performance research or ML infrastructure teams; based in San Francisco, CA.

    About OpenAI →

    The full posting

    About the Team

    The Foundations Research team works on high-risk, high-reward ideas that could shape the next decade of AI. Our goal is to advance the science and data that enable our training and scaling efforts, with a particular focus on future frontier models. Pushing the boundaries of data, scaling laws, optimization techniques, model architectures, and efficiency improvements to propel our science.

    The Search team sits within Foundations, building agentic search by co-designing model–system interfaces with the core search stack (serving, indexing, retrieval) to translate model intent into reliable, real-world actions. Operating at the frontier of AI and information retrieval, the team develops large-scale systems that transform and index vast corpora, enabling models to reason over global knowledge and act dependably. In close partnership with researchers, we rapidly bring modeling breakthroughs into production and redefine how intelligent systems discover, retrieve, and synthesize information at planetary scale.


    About the Role

    We’re looking for a researcher focused on our search efforts. You’ll work with a a team of world-class research scientists and engineers developing foundational technology that enables models to retrieve and condition on the right information, at the right time. This includes designing new embedding training objectives, scalable vector store architectures, and dynamic indexing methods.

    This work will support retrieval across many OpenAI products and internal research efforts, with opportunities for scientific publication and deep technical impact.

    This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees.


    Responsibilities

    • Tackle embedding models and retrieval systems optimized for grounding, relevance, and adaptive reasoning.
    • Collaborate with 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.


    You Might Thrive in This Role If You Have

    • 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.


    About OpenAI

    OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. 

    We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.

    For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.

    Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.

    To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.

    We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.

    OpenAI Global Applicant Privacy Policy

    At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

    Compensation: $380K - $850K