Senior ML / AI Engineer
True Talent Solutions Partners
About the role
About the Role
Join a small, senior engineering team building the machine learning foundation for consumer software products. You will shape data pipelines, models, retrieval systems, and inference infrastructure that make AI-powered experiences useful and intuitive for everyday users.
What You'll Do
Architect and build machine learning and retrieval systems for core product experiences.
Design data pipelines that ingest, classify, enrich, and summarize large volumes of user data.
Build scalable infrastructure for real-time and batch inference.
Guide model selection, fine-tuning, embeddings, retrieval-augmented generation, and evaluation frameworks.
Prototype product ideas and turn successful experiments into reliable systems.
Partner with product, design, and engineering to deliver polished user-facing features.
Establish strong practices for system quality, measurement, and failure analysis.
What We're Looking For
At least 5 years of software or machine learning engineering experience, with a background in consumer AI or machine learning systems.
Experience shipping machine learning features to real users, such as personalization, ranking, search, or recommendations.
Experience developing custom models, including embeddings, recommendation, or personalization models, beyond prompt-based integrations alone.
Strong experience with applied machine learning, LLMs, retrieval, classification, NLP, or related product systems.
Familiarity with Python, FastAPI, PostgreSQL, vector databases, and embeddings.
Experience with data pipelines, training and evaluation workflows, inference infrastructure, and end-to-end product development.
A degree in computer science, mathematics, electrical engineering, or a related field, or comparable technical background.
Comfort working in an early-stage or entrepreneurial environment and collaborating across product and design.
Compensation & Benefits
Base salary: $200,000 to $300,000 annually. Visa sponsorship is available.
Location
On-site in San Francisco, California, United States.
Responsibilities
- Architect and build machine learning and retrieval systems for core product experiences
- Design pipelines to ingest, classify, enrich, and summarize user data
- Build scalable real-time and batch inference infrastructure
- Guide model selection, fine-tuning, embeddings, retrieval-augmented generation, and evaluation
- Prototype product ideas and turn successful experiments into reliable systems
- Collaborate across product, design, and engineering to deliver user-facing features
- Establish practices for system quality, measurement, and failure analysis
Qualifications
- At least 5 years of software or machine learning engineering experience, including consumer AI or ML systems
- Experience shipping machine learning features such as personalization, ranking, search, or recommendations
- Experience developing custom models beyond prompt-based integrations
- Strong applied ML experience in areas such as LLMs, retrieval, classification, or NLP
- Familiarity with Python, FastAPI, PostgreSQL, vector databases, and embeddings
- Experience with data pipelines, training and evaluation workflows, inference infrastructure, and end-to-end product development
- Degree in computer science, mathematics, electrical engineering, or a related field, or comparable technical background
- Comfort working in an early-stage environment and collaborating across product and design
Benefits
- Visa sponsorship available