Machine Learning Engineer

The role

You will develop, deploy, and enhance machine learning systems focused on lifecycle optimization, personalized notifications, and monetization strategies. You will work on embedding-based retrieval, Graph Neural Networks, and multi-stage rankers.

What you will do

• Develop and iterate on machine learning models and features that influence user experience.
• Partner with senior engineers, data scientists, and product managers to develop and iterate on machine learning models.
• Grow technical depth by working alongside experienced ML practitioners in model development, experimentation, and production deployment.

Required qualifications

• Bachelor’s degree in Computer Science, Data Science, or a related field
• Experience in machine learning, data science, or a related area
• Proficient in Python, with hands-on experience in frameworks such as scikit-learn, PyTorch, or TensorFlow
• Experience with deploying and evaluating agentic workflows
• Strong foundation in core ML concepts, including classification, regression, ranking, and model evaluation

Nice to have

• Master’s degree or currently pursuing an advanced degree in a relevant field
• Exposure to areas such as recommendations, personalization, NLP, deep learning, LLMs, or explainable AI
• Familiarity with the ML lifecycle (e.g., experiment tracking, model monitoring, feature pipelines)
• Experience with cloud platforms (GCP, AWS, or Azure)
• Clear communicator, able to translate technical work for diverse audiences
• Collaborative mindset with experience working cross-functionally with product, analytics, and engineering teams

Benefits

• Equity in a fast-growing company
• 401(k) match
• competitive compensation
• financial coaching
• Paid parental leave
• fertility benefits
• parental coaching
• Medical, dental, and vision
• mental health support
• $500 wellness stipend
• $2,000 learning stipend
• Internet, commuting, and free lunch/gym in our SF office

About the company

Handshake powers 25 million job seekers, 1 million+ employers, and 1,600 educational institutions. In 2025, they started Handshake AI to work with frontier AI lab researchers to create evaluations and publish benchmarks.