Machine Learning Engineer I – Growth Relevance

Job overview

The Machine Learning Engineer I – Growth Relevance role is described as hybrid remote in San Francisco, CA, with compensation of $150,000–$189,000 per year. Handshake supports job seekers, employers, and educational institutions, and its Growth Relevance team develops AI-powered career products. The engineer develops, deploys, and improves machine learning models and features for lifecycle optimization, personalized notifications, and monetization. The work supports user engagement and marketplace outcomes while contributing to responsible AI practices around explainability, fairness, and quality.

What you'll do

• Develop and iterate on machine learning models and features for lifecycle, notifications, and monetization
• collaborate with senior engineers, data scientists, and product managers
• contribute to model development, experimentation, and production deployment.

What we're looking for

Skills & competencies

machine learning engineer i

growth relevance

san francisco ca

handshake

hybrid remote

python

pytorch

tensorflow

machine learning

personalization

notifications

ai

$150k–$189k/year

equity

401(k) match

Work arrangement

• Weekend coverage required

Benefits & perks

• Equity
• 401(k) match
• paid parental leave
• fertility benefits
• medical, dental, and vision
• mental health support
• wellness and learning stipends.

Why this role

The description identifies the role as Machine Learning Engineer I; desired capabilities include Python, scikit-learn, PyTorch or TensorFlow, and experience deploying and evaluating agentic workflows; 1–3 years of related experience listed.

About the employer

Handshake is hiring for this role. Industry: Web Search Portals and All Other Information Services. Sector: 51.