Associate Machine Learning Engineer
Role summary
Handshake is seeking an Associate Machine Learning Engineer for its Growth Relevance team to develop and deploy ML systems for lifecycle optimization, personalized notifications, and monetization. This role involves working with cutting-edge ML infrastructure, including embedding-based retrieval and Graph Neural Networks, to drive key marketplace metrics and enhance user engagement. The engineer will collaborate with senior team members, learn best practices in model development and deployment, and contribute to responsible AI initiatives. The position requires a Bachelor's degree in a related field, 0-2 years of experience, and proficiency in Python with ML frameworks like scikit-learn, PyTorch, or TensorFlow.
# About Handshake
Handshake is the career network for the AI economy. 20 million knowledge workers, 1,600 educational institutions, 1 million employers (including 100% of the Fortune 50), and every foundational AI lab trust Handshake to power career discovery, hiring, and upskilling, from freelance AI training gigs to first internships to full-time careers and beyond. This unique value is leading to unparalleled growth; in 2025, we tripled our ARR at scale.
Why join Handshake now:
- Shape how every career evolves in the AI economy, at global scale, with impact your friends, family and peers can see and feel
- Work hand-in-hand with world-class AI labs, Fortune 500 partners and the world’s top educational institutions
- Join a team with leadership from Scale AI, Meta, xAI, Notion, Coinbase, and Palantir, among others
- Build a massive, fast-growing business with billions in revenue
# About the Role
Handshake is hiring an Associate Machine Learning Engineer for the Growth Relevance team. AI is transforming how students navigate their careers, and we're committed to providing innovative, responsible AI-powered solutions that guide students from educational aspirations to meaningful career opportunities. In this role, you will contribute directly to this mission by developing, deploying, and enhancing machine learning systems focused on lifecycle optimization, personalized notifications, and monetization strategies.
You'll join a high-impact team leveraging cutting-edge ML infrastructure, including embedding-based retrieval, Graph Neural Networks, and multi-stage rankers built upon a robust data platform with billions of data points. Your work will drive critical marketplace metrics, enhance user engagement, and contribute to responsible AI practices around explainability, fairness, and quality.
What You'll Do
- Innovator: Develop and iterate on machine learning models and features that directly influence user experience across lifecycle, notifications, and monetization — with guidance from senior engineers.
- Collaborator: Partner with senior engineers, data scientists, and product managers to develop and iterate on machine learning models that improve product features and user experience.
- Learner: Grow your technical depth by working alongside experienced ML practitioners, picking up best practices in model development, experimentation, and production deployment.
# Desired Capabilities
- Bachelor’s degree in Computer Science, Data Science, or a related field
- 0–2 years of 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
- Strong foundation in core ML concepts, including classification, regression, ranking, and model evaluation
Extra Credit
- 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
# Perks
Handshake delivers benefits that help you feel supported—and thrive at work and in life.
*The below benefits are for full-time US employees.*
Ownership: Equity in a fast-growing company
Financial Wellness: 401(k) match, competitive compensation, financial coaching
Family Support: Paid parental leave, fertility benefits, parental coaching
Wellbeing: Medical, dental, and vision, mental health support, $500 wellness stipend
Growth: $2,000 learning stipend, ongoing development
Remote & Office: Internet, commuting, and free lunch/gym in our SF office
Time Off: Flexible PTO, 15 holidays + 2 flex days
Connection: Team outings & referral bonuses
Explore our mission, values, and comprehensive US benefits at joinhandshake.com/careers.
Compensation Range: $115K - $144K
Sample Handshake interview questions
- 1
Design a distributed logging system.
system designmedium - 2
Vertical Order Traversal Perform a vertical order traversal of a binary tree. Input: root = [1,2,3,4,5,6,7] Output: [[4],[2],[1,5,6],[3],[7]] Explanation: Traverses the tree maintaining column indices, seamlessly grouping nodes that share the exact same vertical alignment.
codingmedium - 3
Diameter of a Binary Tree Find the diameter of a binary tree. Input: root = [1,2] Output: 1 Explanation: The longest path is simply the single edge connecting the root node to its only child.
codingmedium - 4
Clone an Undirected Graph Clone an undirected graph. Input: adjList = [[]] Output: [[]] Explanation: Creates a new, deeply cloned graph containing only one single node with zero connected neighbors.
codingmedium - 5
Valid Word Abbreviation Determine if a string matches a valid word abbreviation. Input: word = "apple", abbr = "a2e" Output: FALSE Explanation: The abbreviation claims exactly 2 characters are skipped between 'a' and 'e', but "ppl" is actually 3 characters long.
codingmedium
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