Founding Applied ML Engineer
$130k - $250kDavid Joseph & Company
Job Description
Job Description
San Francisco, CA · On-site · Full-time Compensation: $130,000–$250,000 + 0%–4% equity
About the CompanyOur client is the agentic-commerce optimization platform for ecommerce and retail brands, helping them understand, improve, and monetize how their products show up across AI shopping agents. It's building mission control for agentic commerce — visibility, recommendations, execution, attribution, and automation in one platform — as the market shifts from traditional search to AI-agent-driven discovery.
Founded 2025 · 1–10 people (Seed) · Industry: AI Tools
The RoleEngineer number one, spanning product engineering across the full stack plus applied-ML judgment to build reliable AI systems — ranking, evals, attribution models, agents, and automation loops that customers trust. You'll work directly with customers and help shape what gets built and how.
Tech stack: Python, SQL; TypeScript, Express, React for full-stack / customer-facing work when needed.
Requirements- 3+ years of applied ML or data science in production
- Full-stack Python and SQL, shipping independently
- Ranking, attribution, forecasting, or product-analytics experience a strong plus
- Expert daily use of Claude, Cursor, or similar AI tools
- An end-to-end ownership mindset, comfortable with ambiguity
- A founding-engineer or early-stage startup background
- Shipped ML systems from research to production at real scale
- An ecommerce, marketplace, or search background
- Active outside work: personal projects, contributions, or published ML work
- Engineer #1: true founding scope — not joining an engineering team but helping build one, owning product and infrastructure decisions end to end
- A novel problem space: ranking, evals, attribution, and agentic workflows for noisy AI-commerce outputs — product-grounded ML, not pure research or analytics
- Momentum: growing 50% month over month, working directly with ecommerce and retail brands in a market evolving in real time
- Location — San Francisco, CA
- Work policy — On-site
- Compensation — $130,000–$250,000 + 0%–4% equity
- Visa sponsorship — Not available
- Employment type — Full-time
Vacancy posted 17 days ago
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