"research engineering" Jobs

1913 open tech roles matching “research engineering”, taken straight from company career pages — not reposted from other job boards. Most in demand right now: AI/ML, Python, TypeScript. Every listing is re-checked daily and closed roles are removed.

Showing 20 of 1913 results

Pinterest

Lead technical vision and foundational work in AI and search systems at Pinterest, impacting millions of users.

Pinterest San Francisco, CA, US; Remote, US $242.6k–$449.5k/yr Published 1 month ago
Cursor

Join Cursor as a Software Engineer on the RL Data team to create and improve tasks for training coding agents.

Cursor San Francisco Published 5 days ago
Exa

Join Exa as a Forward Deployed Engineer, bridging product, engineering, and customer success in a fast-paced environment.

Exa San Francisco, California Published 1 year ago
AI-first team
krea.ai

Join Krea to build innovative AI tools in a hands-on role focused on supercomputing and distributed systems.

krea.ai San Francisco Published 5 months ago
Flexible on stack
Patch

Join Patch as a Product Engineer to drive impactful solutions in environmental commodities with a mission-driven team.

Patch San Francisco Published 5 months ago
Flexible on stack
Anthropic

Lead a research engineering team focused on biological safety evaluations and classifiers in a mission-driven AI organization.

Anthropic San Francisco, CA $405k–$485k/yr Published 2 weeks ago
Flexible on stack Heavy meetings
Preference Model

Join Preference Model as a new graduate Machine Learning Engineer to design and build reinforcement learning environments.

Preference Model San Francisco Published 4 months ago
Flexible on stack
TRM Labs

Join TRM Labs as a Senior Software Engineer to build scalable graph systems analyzing cryptocurrency transactions.

TRM Labs North America $200k–$220k/yr Published 1 year ago
Flexible on stack
Snorkel AI

Join Snorkel AI as a Research Scientist to bridge cutting-edge research and real-world AI systems in a dynamic environment.

Snorkel AI New York City, NY (Hybrid); San Francisco, CA (Hybrid); United States (Remote) $200k–$350k/yr Published 10 months ago
Flexible on stack 70% coding
Rothy's

Lead the development and application of fit and wear-testing strategies for Rothy's footwear portfolio.

Rothy's San Francisco $122k–$156k/yr Published 5 months ago
Perplexity AI

Join Perplexity AI as a Sr. Technical Sourcer to shape the talent foundation for innovative AI solutions.

Perplexity AI San Francisco Published 3 months ago
LlamaIndex

Join LlamaIndex as an AI Research Engineer to enhance document understanding systems through applied research and engineering.

LlamaIndex San Francisco Published 2 months ago
Flexible on stack
Phylo

Join Phylo as a Member of Technical Staff to advance AI agents for biomedical discovery through engineering and evaluation.

Phylo South San Francisco Published 2 months ago
Macroscope

Join Macroscope as an Applied ML Engineer to enhance machine learning systems in a collaborative startup environment.

Macroscope San Francisco $170k–$280k/yr Published 1 month ago
Flexible on stack
Reflection AI

Lead and grow a team of data platform engineers to build scalable data infrastructure for high-velocity experimentation.

Reflection AI San Francisco, CA Published 3 weeks ago
Flexible on stack
Snorkel AI

Lead a team of researchers to enhance data evaluation and analysis methods for AI model performance at Snorkel AI.

Snorkel AI New York City, NY (Hybrid); San Francisco, CA (Hybrid); United States (Remote) $275k–$425k/yr Published 3 months ago
AI-first team
Anthropic

Lead a team of machine learning and distributed systems experts to enhance research tools at Anthropic.

Anthropic San Francisco, CA | New York City, NY $1–$2/yr Published 4 months ago
Heavy meetings
baseten

Join Baseten as a Site Reliability Engineer to enhance the reliability of our multi-cloud Kubernetes infrastructure.

baseten San Francisco Published 4 months ago
Flexible on stack 70% coding
Preference Model

Join Preference Model as a Machine Learning Engineer to develop low-level reinforcement learning environments in a fast-paced startup.

Preference Model San Francisco Published 3 weeks ago
Flexible on stack