Machine Learning Engineer I

Reposted Yesterday
San Francisco, CA, USA
In-Office
151K-189K Annually
Junior
Edtech • Enterprise Web • HR Tech • Software
Handshake is the number one site for college students to find a job.
The Role
As a Machine Learning Engineer I, you will develop and deploy machine learning systems for core relevance signals, collaborating with engineers and product teams.
Summary Generated by Built In

About Handshake

Handshake was founded on a simple belief that everyone deserves a path to a great career, regardless of where they went to school or who they know. Today, we power 25 million job seekers, 1 million+ employers, and 1,600 educational institutions.

In 2025, we started Handshake AI and built the fastest-growing AI data business in history. We work directly with frontier AI lab researchers to create evaluations, publish benchmarks, and push the boundary of data. We’ve grown from $0 to ~$1B run rate and pay ~$60M to over 30K individuals every month.

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

  • Partner hand-in-hand with world-class AI labs, Fortune 500 partners and the world’s top educational institutions

  • Work together with engineers, scientists, operators, and more from Palantir, Meta, Scale AI, and former YC founders

  • Build a massive, fast-growing business with billions in revenue

About Handshake AI

Human data is the core infrastructure to AI advancement. Frontier AI labs currently improve model capabilities with various data-intensive post-training techniques. We believe that data spend for AI training will increase by 3-5x in the next few years and continue for much longer as models take on new domains. Handshake AI supports all of the frontier AI labs, working on their most complex data at the largest scale.

The ML Opportunity at Handshake:

Machine Learning is at the heart of Handshake's mission to democratize access to opportunity. Every student deserves to be seen, not just by any employer, but by the right one. Machine learning is how we personalize discovery, match intent with opportunity, and drive better outcomes at scale.

What Makes This Role Unique:

  • End-to-end ownership: You'll work on the entire ML lifecycle, from data to deployment, not just one part

  • Product impact: Your ML systems directly impact millions of users and drive critical business metrics

  • Cutting-edge infrastructure: Work with embedding-based retrieval, Graph Neural Networks, and multi-stage rankers

  • Responsible AI: Contribute to explainability, fairness, and quality practices

  • Scale: Billions of data points powering our ML systems

  • World-class team: Leadership from Scale AI, OpenAI, xAI, Notion, Coinbase, and Palantir

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 or advanced degree in Computer Science, Data Science, or a related field

  • 3 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

  • 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.

Skills Required

  • Bachelor's degree in Computer Science, Data Science, or a related technical field
  • 1-3 years of industry or research experience in machine learning or a related area
  • Proficiency in Python
  • Hands-on experience with ML frameworks such as PyTorch or TensorFlow
  • Solid understanding of core ML concepts: ranking, classification, regression, model evaluation, and validation
  • Familiarity with software engineering best practices including version control, testing, and code reviews
  • Experience with SQL and data analysis techniques

Handshake Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Handshake and has not been reviewed or approved by Handshake.

  • Leave & Time Off Breadth Time-off practices include flexible/unlimited PTO, companywide recharge weeks in summer and winter, plus additional volunteer and personal holiday time. Feedback suggests sabbaticals and coordinated breaks help people actually use rest time.
  • Parental & Family Support Parental leave is described as extended for primary and secondary caregivers, and family-oriented policies are highlighted. Fertility and family-support resources are referenced in public materials.
  • Healthcare Strength Core coverage spans medical, dental, and vision, with added mental-health resources and wellness programming. Feedback suggests these supports contribute meaningfully to overall wellbeing.

Handshake Insights

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The Company
HQ: San Francisco, CA
700 Employees
Year Founded: 2014

What We Do

Handshake is the #1 place to launch a career with no connections, experience, or luck required. The platform connects up-and-coming talent with 650,000+ employers - from Fortune 500 companies like Google, Nike, and Target to thousands of public school districts, healthcare systems, and nonprofits. Earlier this year, we announced our $200M Series F funding round. This Series F fundraise and new valuation of $3.5B will fuel Handshake’s next phase of growth and propel our mission to help more people start, restart, and jumpstart their careers.

Why Work With Us

How someone builds their career is foundational. We believe in working with the higher education community to help students build meaningful careers. We are at the nexus of universities, students and employers— and we’re able to connect the very best pieces of each side. We’re proud to create a community where students can be more successful.

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