Applied ML Engineer(Full-stack, Python, SQL) with Early Stage/ Startup/Founder Exp.

Salary - $130,000 - $250,000

What You'll Own

Build custom ML models to classify prompts, predict opportunity, and prioritize what brands should optimize for

Design and ship ranking, scoring, and evaluation systems for noisy AI commerce outputs

Build incrementality and attribution systems that connect AI visibility to revenue outcomes for ecommerce brands

Develop data pipelines to collect signals and turn them into usable product intelligence

Move between modeling, analysis, implementation, and product decisions without waiting for direction

Own core AI workflows and make them reliable with queues, retries, observability, evals, and workflow orchestration

Must-Have

3+ years shipping production systems with strong full-stack experience and ability to move independently across the stack

Applied ML or data science experience, especially with LLMs, ranking, retrieval, evals, attribution, experimentation, or product intelligence

Strong Python and SQL skills, with ability to reason about model behavior, failure modes, and quality without needing perfect data

High agency, self-directed mindset; able to turn ambiguity into shipped product and make high-impact daily decisions

Expert-level with AI coding tools and strong judgment on when to use AI and when not to

Prior founding experience or was an early engineer at a Seed, Series A, or Series B company

Nice-to-Have

Experience taking ML models from offline analysis to production systems customers actually use

Data pipelines, instrumentation, and signal collection from messy real-world sources

Attribution modeling, traffic analysis, forecasting, causal inference, or experimentation background

Ecommerce, marketplaces, search, recommendations, analytics, or growth systems experience

Enough full-stack experience to ship customer-facing product, APIs, or internal tools across TypeScript, Express, React when needed