ML Engineer — LLMs, KYC/KYB, Hybrid SF

Baselayer; San Francisco (CA); Hybrid; USD 150,000 - 225,000; Full time

Benefits offered by this job

Flexible PTO

Equity options

Job summary

A technology company in San Francisco is seeking an entry-level Machine Learning Engineer to develop cutting-edge AI solutions. Candidates should have 1-3 years in machine learning, with strong Python skills and a foundation in AI/ML, particularly LLMs. The role involves building and maintaining ML models and infrastructure while emphasizing responsible AI practices. The company offers a competitive salary range of $150k-$225k, equity, and a hybrid work environment with flexible PTO.

Qualifications

• 1-3 years of experience in machine learning development.
• Strong foundation in AI/ML fundamentals; eager to experiment with new techniques.
• Thrive in dynamic settings with a high-trust environment.

Responsibilities

• Build and maintain ML models ensuring scalability and high performance.
• Architect and design core ML services leveraging knowledge graphs and LLMs.
• Develop robust data pipelines for feature extraction focusing on scalability.

Skills

Machine learning development

Python proficiency

Data optimization

Understanding LLMs

Model governance

Clean coding

Problem-solving

Proactive self-starter

Feedback-oriented

Job description

A technology company in San Francisco is seeking an entry-level Machine Learning Engineer to develop cutting-edge AI solutions. Candidates should have 1-3 years in machine learning, with strong Python skills and a foundation in AI/ML, particularly LLMs. The role involves building and maintaining ML models and infrastructure while emphasizing responsible AI practices. The company offers a competitive salary range of $150k-$225k, equity, and a hybrid work environment with flexible PTO.