Impress employers and recruiters.
Choose from hundreds of resume examples.
Impress employers and recruiters.
Choose from hundreds of resume examples.
Tailor your resume to this Senior ML / AI Engineer role.
Rezi rewrites your resume against True Talent Solutions Partners's job description. Free.
Tailor your resume to this Senior ML / AI Engineer role.
Rezi rewrites your resume against True Talent Solutions Partners's job description. Free.
Don't guess if your resume is good enough.
See how it scores against the Senior ML / AI Engineer posting at True Talent Solutions Partners — free, in seconds.
Don't guess if your resume is good enough.
See how it scores against the Senior ML / AI Engineer posting at True Talent Solutions Partners — free, in seconds.
About the Role
Join a small, senior engineering team building ML systems for consumer-facing products. You will shape data pipelines, models, retrieval systems, and inference infrastructure to create intelligent and intuitive product features.
Responsibilities
- Architect and build machine learning and retrieval systems for core product experiences.
- Design data pipelines to ingest, classify, enrich, and summarize user data.
- Develop scalable inference infrastructure for real-time and batch workloads.
- Guide model selection, fine-tuning, embeddings, RAG pipelines, evaluation frameworks, and quality measurements.
- Prototype new ML-powered product ideas and strengthen successful approaches for production.
- Collaborate with product, design, and engineering to deliver polished user-facing features.
- Establish strong practices for ML development and system quality across the team.
Requirements
- At least 5 years of software or machine learning engineering experience in consumer AI or ML systems.
- Experience building and shipping ML-powered features from early development to real users, such as personalization, ranking, search, or recommendations.
- Background working from consumer needs to determine and build the right ML capabilities.
- Hands-on experience developing custom models, including embeddings, recommendation, or personalization models.
- Knowledge of LLMs, RAG, classification, NLP, retrieval systems, data pipelines, and inference infrastructure.
- Experience with Python, FastAPI, PostgreSQL, vector databases, and embeddings.
- A degree in computer science, mathematics, electrical engineering, or a related field.
- Clear career growth and experience in entrepreneurial or startup environments.
Skills
- Python
- FastAPI
- PostgreSQL
- Vector databases
- Embeddings
- LLMs
- RAG
- Classification
- NLP
- Retrieval systems
- Data pipelines
- Inference infrastructure
Location
- San Francisco, California, United States
Work Type
- On-site
Experience Level
- 5+ years
Education Level
- Degree in computer science, mathematics, electrical engineering, or a related field
Salary/Compensations
- $200,000 to $300,000 annually
Benefits
- Visa sponsorship is available.