Raydar
Machine Learning Engineer
$210K–$325K
San Francisco, California · Full-time · Posted Oct 26, 2026
- Experience
- Two to six years of relevant experience; prior work in a fast-paced startup setting is also requested, ideally as an early team member.
- Education
- Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
About the job
Build and ship production machine learning systems, from models and data pipelines to reliable AI services for business customers.
What you'll do
- Build, integrate, and deploy AI-powered services; fine-tune and evaluate machine learning models.
- Design training, inference, and data-processing pipelines, and improve production system performance and reliability.
- Collaborate across product, research, and design; establish evaluation, monitoring, and feedback loops.
What they ask for
- Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
- Strong proficiency in Python and common engineering or machine learning frameworks.
- Track record of shipping software used live by real users; hands-on experience applying learned models or analytics-heavy software.
- Working knowledge of data movement, service interfaces, and hosted compute in a public cloud.
Nice to have
- Experience deploying or scaling machine learning systems at meaningful scale.
- Familiarity with large language models, agents, or workflow automation.
Pay
USD 210,000 to 325,000 per year (base salary)
Tools
Python
AI focus
Build, fine-tune, evaluate, deploy, and monitor production machine learning and AI systems; familiarity with large language models, agents, or workflow automation is a plus.
Model-written summary · the original posting is authoritative