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True Talent Solutions Partners

Senior ML / AI Engineer

Salary

$200K - $300K

Listed in the posting

Pays more than 70% of 103 senior machine learning engineer listings in USD.

This job
$200k–$300k
Typical
$232k
Most pay
$205k–$256k
Apply on company site

Benefits

  • Visa sponsorship

Skills

AI
Data Pipelines
Embeddings
Fastapi
Fine Tuning
LLM
Machine Learning
NLP
PostgreSQL
Python

Nice to have

Rag
Vector Databases

Full job description

Description

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

  • 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.

Location

On-site in San Francisco, California, United States.

Requirements

What We're Looking For

  • 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, with clear career growth and experience in entrepreneurial or startup environments.

Benefits

Compensation & Benefits

Base salary: $200,000 to $300,000 annually. Visa sponsorship is available.

Apply on company site

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