• Companies
  • News
By technology
  • Python17.9k
  • AWS12.6k
  • Kubernetes9.1k
  • Docker8.7k
  • C++5.9k
  • PostgreSQL5.7k
  • SQL5.3k
By category
  • Backend Developer11.3k
  • DevOps Engineer3.4k
  • Machine Learning Engineer3.3k
  • Full Stack Developer3.2k
  • Data Engineer2.8k
  • Embedded Engineer2.2k
  • Frontend Developer854
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-site21.9k
  • Remote10.1k
  • Hybrid7.3k
Job type
  • Full-time38k
  • Contract597
  • Part-time525
  • Freelance214
  • 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
38,019 matches
NewestHighest base
Factory

Research Engineer

2 days ago
Factory · San Francisco, CA
On-siteFull-timeLLMs
Factory

Solutions Engineer, Enterprise, West

2 days ago
Factory · San Francisco, CA
On-siteFull-timePython · Git
Factory

Software Engineer, Fullstack

2 days ago
Factory · San Francisco, CA
On-siteFull-timeJavaScript · React
Factory

Software Engineer, AI

2 days ago
Factory · San Francisco, CA
On-siteFull-timeLLMs
Industrious

Senior Backend Engineer

2 days ago
Industrious · New York, NY
$150k–170kHybridFull-timeTypeScript · Node.js
Industrious

Tech Lead, DevOps Engineer

2 days ago
Industrious · New York, NY
$160k–180kHybridFull-timeAWS · Terraform
OpenLoop Health

Senior Engineering Manager, Forward Deployed Engineering

2 days ago
OpenLoop Health · United States - Remote
RemoteFull-timeFHIR
OpenLoop Health

Senior Engineering Manager, AI Platform

2 days ago
OpenLoop Health · United States - Remote
RemoteFull-timeGCP
OpenLoop Health

Netsuite Engineer

2 days ago
OpenLoop Health · United States - Remote
RemoteFull-timeNetSuite · Salesforce
OpenLoop Health

Principal Technical Program Manager

2 days ago
OpenLoop Health · Toronto, ON
RemoteFull-timeJira
OpenLoop Health

Senior Staff Frontend Engineer

2 days ago
OpenLoop Health · United States - Remote
RemoteFull-timeReact · Next.js
OpenLoop Health

Pharmacy & Clinical Systems Engineer

2 days ago
OpenLoop Health · United States - Remote
RemoteFull-timeHealthie · DoseSpot
OpenLoop Health

Director of Cloud Engineering

2 days ago
OpenLoop Health · United States - Remote
RemoteFull-timeAWS · Terraform
OpenLoop Health

Staff Technical Program Manager

2 days ago
OpenLoop Health · Toronto, ON
RemoteFull-timeJira
OpenLoop Health

Senior Staff Product Manager

2 days ago
OpenLoop Health · Toronto, ON
RemoteFull-timeGCP · AWS
OpenLoop Health

Observability Engineer

2 days ago
OpenLoop Health · United States - Remote
RemoteFull-timeDatadog · PagerDuty
OpenLoop Health

IT Helpdesk Technician II

2 days ago
OpenLoop Health · Dallas, TX
On-siteFull-timeOkta · Google Workspace
OpenLoop Health

Senior IT Audit Manager

2 days ago
OpenLoop Health · United States - Remote
RemoteFull-timeAWS · Azure
OpenLoop Health

Applied AI Engineer

2 days ago
OpenLoop Health · United States - Remote
RemoteFull-timeGCP
OpenLoop Health

Forward Deployed Engineer

2 days ago
OpenLoop Health · Toronto, ON
RemoteFull-timeFHIR
  • Previous
  • 1
  • More pages
  • 682
683
  • 684
  • More pages
  • 1901
  • Next
  • Factory

    Research Engineer

    Factory · 🇺🇸 San Francisco, CA · posted 2 days ago
    ApplyFull posting

    Extracted from the posting

    Base
    Not stated
    Remote
    In-office, 5 days/week, San Francisco
    Funding
    $200M raised at $5B valuation (2026); over $400M total
    Stack
    LLMs

    TL;DR

    Design, develop, and deploy AI-driven agentic systems focused on retrieval systems, code generation evaluation, agentic user experience, and agent backend architecture. Collaborate with product and engineering teams to integrate AI research into customer-facing solutions and rapidly prototype based on real-world feedback. Address product stability and scalability for large-scale operational demands.

    About Factory →

    The full posting

    About Factory


    Our mission is to create a world where software builds and improves itself.

    We build the platform for self-improving software development, helping the world's largest enterprise engineering teams turn their organizations into autonomous software factories. Customers including Nvidia, Blackstone, Royal Bank of Canada (RBC), Palo Alto Networks, Adobe, and T-Mobile run Factory to ship code, review PRs, run tests, and deploy continuously - getting smarter with every cycle.

    In 2026, we raised $200M at a $5B valuation, bringing our total funding to over $400M. We are backed by world-class investors and operators including Khosla Ventures, Sequoia, Blackstone, Ali Ghodsi (CEO of Databricks), and Frank Slootman (Former CEO of Snowflake).


    About the Role


    Factory is seeking innovative Research Engineers to design and integrate advanced AI and ML capabilities that revolutionize productivity and accelerate innovation within software organizations.


    What you will do and achieve

    • Design, develop, and deploy AI-driven agentic systems that enhance Factory’s core AI capabilities, focusing on retrieval systems, code generation evaluation, agentic user experience development, and agent backend architecture.
    • Collaborate with product and engineering teams to incorporate emerging AI research findings into practical, customer-centric solutions.
    • Engage in iterative development processes, rapidly prototyping and refining AI functionalities based on real-world feedback to meet the evolving needs of developers and enterprises
    • Take the initiative in identifying and addressing product stability and scalability challenges, ensuring our platform reliably support large-scale operational demands


    Qualifications

    • 2+ years of hands-on experience in AI/ML engineering roles post-acquisition of a Bachelor's or Master's degree in Computer Science, Engineering, AI, or a related technical field.
    • Demonstrated proficiency with LLMs and a track record of applying AI/ML techniques to solve complex, unstructured problems, ideally within the domain of software engineering or related areas.
    • Self-motivated and autonomous, with a proven ability to navigate ambiguous research projects from conception to impactful deployment.
    • Strong communication skills that enable you to articulate technical concepts and strategies clearly at all levels, coupled with a strategic mindset oriented towards innovation.
  • Experience with data-intensive applications and familiarity with the software development lifecycle are highly desirable, though not mandatory.

  • This is an in-office position (5 days/week) in San Francisco (walking distance to Caltrain)