About this role
Based in San Francisco, CA, this full-time Machine Learning Engineer position is suited for professionals looking to build machine learning systems for lifecycle optimization, personalized notifications, and monetization. The role involves joining the Growth Relevance team to support AI-driven career solutions for students.
Role Overview
Handshake is seeking a Machine Learning Engineer I to join the Growth Relevance team in San Francisco, CA. The person in this position will build, release, and improve machine learning systems dedicated to monetization strategies, personalized notifications, and lifecycle optimization. This position involves working with infrastructure that includes Graph Neural Networks, multi-stage rankers, and embedding-based retrieval.
Key Responsibilities
Requirements
Nice to Have
Skills and Tools
Salary and Benefits
About the Company
Handshake operates a platform connecting millions of job seekers, employers, and educational institutions. The organization launched Handshake AI in 2025, partnering with frontier AI lab researchers to publish benchmarks, build evaluations, and expand data boundaries.
How to Apply
Interested candidates should apply on the official company careers page.
Skills and tech stack
Questions candidates ask
What is the location of this job?
The role is located in San Francisco, CA.
What is the experience requirement?
Candidates need 1 to 3 years of experience in machine learning, data science, or a related area.
What programming language is required?
Proficiency in Python is required.
What is the salary range for this position?
The salary ranges from $150K to $189K with offers of equity.
What educational background is needed?
A Bachelor's degree in Computer Science, Data Science, or a related field is required.
