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