Raydar
Machine Learning Engineer
$130K–$250K
San Francisco, California · Full-time · Posted Oct 1, 2026
- Experience
- At least 3 years delivering production software.
About the job
Serve as the first engineering hire, combining software development and applied machine learning to build dependable, data-driven product capabilities and establish core AI workflows.
What you'll do
- Create machine-learning models and ranking, scoring, and quality-assessment components.
- Build measurement frameworks and data pipelines that connect product signals to business impact.
- Own resilient AI workflows through job queues, retries, monitoring, testing, and orchestration.
What they ask for
- At least 3 years delivering production software, with broad full-stack skills and autonomy across layers.
- Hands-on applied machine learning or data science experience, such as with large language models, retrieval, ranking, or experimentation.
- Strong Python and SQL skills, and ability to reason about model behavior, failure modes, and quality with imperfect data.
- Daily, expert use of AI coding assistants; prior founder or early-stage startup engineering experience.
Nice to have
- Experience taking models from exploratory analysis to live customer-facing systems.
- Experience with messy real-world data, causal inference, forecasting, statistical measurement, search, recommendation, analytics, or building user-facing features, APIs, or internal tooling.
Pay
USD 130,000 to 250,000 per year (base salary)
Tools
Python, SQL
AI focus
Develop applied machine-learning models and product components, and own robust AI workflows.
Model-written summary · the original posting is authoritative