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SeniorFull-timeMachine LearningPyTorchGoMLNLPData
Salary Range
$104,975 - $142,025 /year
This salary is estimated based on similar roles. The actual salary may vary.
About the Role
We are looking for a ML Engineer to join our Ads Data team at Faire. This role involves building the next generation of advertising products for the wholesale industry, focusing on Search Ads. You'll help drive the ML algorithm strategy and system design behind one of the most critical levers for customer value and company growth.
Key Responsibilities
- →Own and evolve the Search Ads relevance stack—spanning query understanding, targeting, candidate generation, multi-stage ranking, and calibration—while meeting stringent latency and reliability goals.
- →Design and productionize ML models that improve sponsored-result relevance and personalization, using a blend of unstructured signals (text/images where applicable), LLM-based representations, and structured marketplace features.
- →Partner closely with engineering and product to connect relevance improvements to ads marketplace outcomes (e.g., conversion, long-term retailer experience, advertiser ROI), using rigorous offline evaluation and online experiments.
- →Help define the Ads Data team's roadmap and technical culture, leveraging deep product intuition to shape what ads at Faire should be.
- →Work in a fast-paced, collaborative environment with team members who’ve shipped ML at top tech companies.
Requirements
- ✓4+ years of experience building and shipping ML systems in production, with meaningful experience in search, recommendation, or ads ranking/retrieval.
- ✓Hands-on experience with modern deep learning tooling (e.g., PyTorch) and familiarity with vector search / embedding-based retrieval concepts (e.g., Faiss, ScaNN, Pinecone).
- ✓A strong track record of productionizing models that blend LLMs (e.g., BERT / GPT-class) with structured features to drive relevance and personalization.
- ✓Product-focused mindset and a bias toward execution—moving quickly from research to measurable user and business impact.
- ✓Strong communication skills and the ability to work with others in a closely collaborative team environment.
Benefits
- ★Competitive salary and equity
- ★Hybrid work model with 3 days in office and flexibility to work remotely up to 4 weeks per year
- ★Health insurance and benefits
