About the Role
Join a small, senior engineering team building the ML systems behind consumer-facing products. You will shape the data pipelines, models, retrieval systems, and inference infrastructure that make intelligent product features useful and intuitive.
What You'll Do
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Architect and build machine learning and retrieval systems for core product experiences.
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Design data pipelines to ingest, classify, enrich, and summarize user data.
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Develop scalable inference infrastructure for real-time and batch workloads.
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Guide model selection, fine-tuning, embeddings, RAG pipelines, evaluation frameworks, and quality measurements.
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Prototype new ML-powered product ideas and strengthen successful approaches for production.
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Collaborate with product, design, and engineering to deliver polished user-facing features.
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Establish strong practices for ML development and system quality across the team.
What We're Looking For
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At least 5 years of software or machine learning engineering experience in consumer AI or ML systems.
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Experience building and shipping ML-powered features from early development to real users, such as personalization, ranking, search, or recommendations.
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Background working from consumer needs to determine and build the right ML capabilities.
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Hands-on experience developing custom models, including embeddings, recommendation, or personalization models.
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Knowledge of LLMs, RAG, classification, NLP, retrieval systems, data pipelines, and inference infrastructure.
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Experience with Python, FastAPI, PostgreSQL, vector databases, and embeddings.
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A degree in computer science, mathematics, electrical engineering, or a related field, with clear career growth and experience in entrepreneurial or startup environments.
Compensation & Benefits
Base salary: $200,000 to $300,000 annually. Visa sponsorship is available.
Location
On-site in San Francisco, California, United States.
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