Platform Research Engineer
Applied Compute —San Francisco, CA
- $200,000 - $335,000 a year
- Full-time
- System design
- Office
- Senior level
- Paid parental leave
- Health insurance
Research Engineer - Distributed Training
Prime Intellect —San Francisco, CA
- $150,000 - $350,000 a year
- Full-time
- System design
- Senior level
- Relocation assistance
- Work from home
Machine Learning Research Engineer (MLRE) - GPUs
Achira —San Francisco, CA
- $164,638 - $259,000 a year
- Full-time
- Hybrid work
- Mid-level
- Office
- Travel
Research Engineer
Gamma —San Francisco, CA
- $180,000 - $340,000 a year
- Full-time
- Computer science
- Computer Science
- Mid-level
- Work from home
Machine Learning Research Engineer (MLRE) - Research
Achira —San Francisco, CA
- $164,638 - $259,000 a year
- Full-time
- Hybrid work
- Office
- Scripting
- Senior level
AI Research Engineer
Amperos —San Francisco, CA
- $200,000 - $300,000 a year
- Full-time
- Office
- Senior level
- Python
- Commuter assistance
- Health insurance
Research Engineer (General)
HUD —San Francisco, CA
- Full-time
- Hybrid work
- Mid-level
- Quality control
- Linux
- Commuter assistance
- Paid holidays
Research Engineer, Life Sciences
Anthropic —San Francisco, CA
- $350,000 - $500,000 a year
- Hybrid work
- Office
- 8 years
- Bachelor's degree
- Parental leave
- Flexible schedule
Research Engineer
Sesame AI —San Francisco, CA
- $190,000 - $320,000 a year
- Full-time
- Research
- Senior level
- Dental insurance
- Flexible spending account
Research Engineer
OpenAI —San Francisco, CA
- $250,000 - $445,000 a year
- Full-time
- Research
- Mid-level
- Fair chance
Research Associate or Associate Scientist, Genome Engineer
Conception —Berkeley, CA
- Full-time
- Research
- Master's degree
- Bachelor's degree
- Health insurance
R & D Engineer 5 (0443) Job #86742 - Berkeley Wireless Research Center (BWRC)
University of California Berkeley —Berkeley, CA
- $145,000 - $200,000 a year
- Online Application
- Background check
- Doctoral degree
- Java
Research Engineer
Firecrawl —San Francisco, CA
- $210,000 - $275,000 a year
- Full-time
- Remote
- System design
- Mid-level
- Machine learning
- Commuter assistance
- Disability insurance
Software Engineer, Research Infrastructure
Anthropic —San Francisco, CA
- $405,000 - $625,000 a year
- Hybrid work
- System design
- Office
- Bachelor's degree
- Parental leave
- Flexible schedule
Research Engineer
Resolution —Berkeley, CA
- $141,000 - $930,000 a year
- Full-time
- Hybrid work
- Research
- Bachelor's degree
- Software development
- Health insurance
- Dental insurance
Quick Apply
Research Engineer - RL Infrastructure
Prime Intellect —San Francisco, CA
- $150,000 - $350,000 a year
- Full-time
- System design
- In-person
- Senior level
- Work from home
Research Engineer, Evals
Variance —San Francisco, CA
- $250,000 - $400,000 a year
- Full-time
- Senior level
- Health insurance
- Dental insurance
Research Engineer
Greptile —San Francisco, CA
- $180,000 - $280,000 a year
- Full-time
- Computer science
- Computer Science
- Bachelor of Science
Research Engineer I II/III (AI / Machine Learning)
Gladstone Institutes —San Francisco, CA
- $78,000 - $114,000 a year
- Full-time
- Azure
- Computer Science
- Bachelor of Science
- Commuter assistance
- Health insurance
6d
Research Engineer
Lotus AI —San Francisco, CA
- Full-time
- SQL
- Senior level

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Platform Research Engineer

Applied Compute
San Francisco, CA

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Job Details

Full-time
$200,000 - $335,000 a year

Benefits

Paid parental leave
Visa sponsorship
Health insurance
Unlimited paid time off
Parental leave
Retirement plan

Qualifications

AI models
Data quality checks
Evaluation research
Software engineering
Reinforcement learning
Data systems development
Conference papers
Startup experience
Software coding
AI integration
Data quality assurance
Design of experiments
System design
System design for system development
Data quality management
Production systems
Collaboration with product development teams
Online blogs
Machine learning research
Model deployment
Engineering research
Algorithm design research
Open source contribution
Benchmarking
Senior level
Model evaluation
Artificial intelligence research
Prototypes
Design (software development lifecycle)
Generative AI

Full Job Description

The role

As a platform research engineer, you'll do research around ways to make Applied Compute's platform intelligent. This includes how we set up continual learning against production traces (OPSD, SDPO, RMSD), scaling synthetic environments, data & evaluations, and integrating the RL stack that powers agent improvement over time. Your research will serve as the connective tissue between our AI product engineers (who build the interfaces and tools customers use) and our applied research engineers (who work directly with customers to ship agents into production). Your job is to take learnings from across customer deployments, identify the greatest common denominators, and pursue research to accelerate all of our deliveries.

What you'll do

Build and improve our hinting primitives for online self-distillation: the algorithms and systems that allow agents to learn continuously from production traces and company data
Develop and maintain trace search, trace mining, and data labeling systems that feed the continual learning loop
Research and implement approaches to multi-agent system design, including structuring agent coordination and managing trade-offs
Build best in class coding agents for automatically creating agents for delivery and hill-climbing harnesses
Translate learnings from applied research and customer deployments into generalizable platform features
Collaborate closely with AI product engineers to ensure new ML capabilities are integrated into polished platform experiences

What we're looking for

Strong software engineering fundamentals combined with deep ML/AI knowledge
Production research experience: both deliveries train models into production & top-tier conference publications, blogs, or reports
Strong experimental design skills: you are diligent, don't cut corners, and actually run experiments
Highly organized: you manage complexity across multiple workstreams
Ability to read and translate research papers and prototypes into shippable engineering

Strong candidates also have

Experience with reinforcement learning
Background in building evaluation frameworks, benchmarks, or data quality systems
Experience with continual learning/distillation
Opinions about multi-agent system architectures and the trade-offs between different approaches
Published work or open-source contributions in AI/ML systems
Previous experience as a founder or early engineer at a zero-to-one company

The U.S. base salary range for this full-time position is $200,000–$335,000. Total compensation for this role also includes meaningful equity in a fast-growing startup, along with a comprehensive benefits package designed to support you both personally and professionally. Base salary is determined by a range of factors including individual qualifications, experience, skills, interview performance, market data, and work location. The listed salary range is intended as a guideline and may be adjusted.

About us

Applied Compute builds Specific Intelligence for the enterprise. We provide the continual learning infrastructure for companies to build agent workforces trained on proprietary data and institutional expertise. Our researchers and platform embed directly within customer environments to build custom evals, train models, and deploy agents that get better with use.

Why we’re excited: We get to work at a rare intersection. Our product team builds the platform powering a new generation of digital coworkers. Our research team pushes the frontier of post-training and reinforcement learning. Our applied AI team sits side-by-side with customers as they ship agents into production. This combination of strong product, deep research, and boots on the ground is what we believe it takes to bring AI to the enterprise. We are product-led, research-enabled, and forward-deployed.
Who we are: We’re a team of engineers, researchers, and operators. Many of us are former founders. We've built RL infrastructure at OpenAI, data foundations at Scale AI, and systems at Together, Two Sigma, Watershed, and others. We work with F50 customers and are fortunate to be backed by partners like Kleiner Perkins, Benchmark, Sequoia, Lux, and Greenoaks.
Who Thrives Here: We're looking for people who are excited about applying novel research and complex systems to real-world problems. Our team genuinely enjoys working with customers: listening, empathizing, and understanding how work actually gets done in their organizations. Former founders, people who've built a lot of side projects, or anyone who's shown they can own something end-to-end, tend to do well here.

Benefits & Logistics

This role is based in San Francisco. We work from our office in the Mission. We offer:

Competitive compensation and equity
100% employer-paid health insurance coverage
Unlimited PTO
Paid parental leave
Daily lunches and dinners
Transportation and relocation support
Retirement plans

We sponsor visas. While we can't guarantee success for every candidate or role, if you're the right fit, we're committed to working through the process with you. We encourage you to apply even if you do not believe you meet every single qualification. As set forth in Applied Compute’s Equal Employment Opportunity policy, we do not discriminate on the basis of any protected group status under any applicable law.

Apply Now

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research engineer jobs in martinez ca

Platform Research Engineer

Research Engineer - Distributed Training

Machine Learning Research Engineer (MLRE) - GPUs

Research Engineer

Machine Learning Research Engineer (MLRE) - Research

AI Research Engineer

Research Engineer (General)

Research Engineer, Life Sciences

Research Engineer

Research Engineer

Research Associate or Associate Scientist, Genome Engineer

R & D Engineer 5 (0443) Job #86742 - Berkeley Wireless Research Center (BWRC)

Research Engineer

Software Engineer, Research Infrastructure

Research Engineer

Research Engineer - RL Infrastructure

Research Engineer, Evals

Research Engineer

Research Engineer I II/III (AI / Machine Learning)

Research Engineer

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