Everyone is welcome at Handshake. We know diverse teams build better products and we are committed to creating an inclusive culture built on a foundation of respect for all individuals. We strongly encourage candidates from non-traditional backgrounds, historically marginalized or underrepresented groups to apply.

Your impact

Handshake is hiring a Staff Machine Learning Engineer with a focus on Generative AI and Recommendations reporting to our Head of Core Relevance.

AI is the future and we are excited to further invest in providing AI resources for our users on our platform. Is it possible to thoughtfully design a responsible, AI-driven product that can help our students progress from educational aspirations to career achievements? In this role, you will work on tackling that goal as part of a lean, high-visibility team. You will be responsible for helping advance our AI product and infrastructure vision towards our mission of democratizing opportunity for millions of students on Handshake.

You will be part of a high-impact org that has already built a Data platform housing billions of data points, with cutting-edge production systems such as embedding-based retrieval, Graph Neural Networks, Fine-Tuned LLMs, and multi-stage rankers. You will level up existing ML systems and drive marketplace metrics, while also accelerating greenfield AI-based products such as Social/Feed. We’ll do all of this responsibly, with developed workstreams around Explainability, Fairness, and Quality.

Your role

You will be a Force Multiplier - setting technical direction, shaping engineering culture, identifying and adopting industry best practices, designing effective partnerships across the company, mentoring and coaching peers, and more.
You will be a Leader - spearheading a lean team of machine learning engineers and data scientists while enabling effective collaboration, high-quality execution, and technical excellence across the Data organization
You will be an Innovator - developing algorithms and Machine Learning systems that connect users across the Handshake marketplace; from students looking for their first jobs and internships to employers sourcing candidates for high-priority roles.
You will be a Collaborator - being an effective partner to product managers; you will work with product managers in driving new user experiences through Machine Learning and Natural Language Processing and build experiments that drive key product decisions and provide invaluable insights.

Your experience

You are an experienced, hands-on senior engineering leader with extensive experience identifying problems, coming up with technical solutions, and driving projects to completion. You care about culture, mentorship, and collaboration just as much as you care about coding, architecture, and technical design. You have an extreme user-focus, you are comfortable with ambiguity, you can drive alignment, and you make thoughtful data-driven decisions.

Basic Qualifications
Bachelor’s degree in Computer Science or related technical field or equivalent technical experience.
4+ years of industry ML experience as TL or TLM
Preferred Qualifications:
MS/Ph.D. in Machine Learning, Statistics or a related field
7+ years of industry ML experience as TL or TLM
End-to-End experience building web-scale AI systems, feature stores, microservices
Background in one or more of the following areas of machine learning: recommendations, optimization, natural language processing (NLP), deep learning, LLMs, explainable AI
Experience building applications atop of IAAS (Google Cloud Platform, Amazon Web Services, Azure Cloud Services, etc.)
Experience working directly with cross-functional teams such as product management, analytics, engineering, and design.
Excellent communication skills — ability to succinctly communicate results and tell compelling stories with data to an out-of-domain audience (e.g. presenting findings and deep-dives to senior leadership).

Compensation range

$235,000-260,000

Want to learn more about what it's like to work at Handshake? Check out these interviews from our team members!

For cash compensation, we set standard ranges for all U.S.-based roles based on function, level, and geographic location, benchmarked against similar stage growth companies. In order to be compliant with local legislation, as well as to provide greater transparency to candidates, we share salary ranges on all job postings regardless of desired hiring location. Final offer amounts are determined by multiple factors, including geographic location as well as candidate experience and expertise, and may vary from the amounts listed above.

About us

Handshake is the #1 place to launch a career with no connections, experience, or luck required. The platform connects up-and-coming talent with 750,000+ employers - from Fortune 500 companies like Google, Nike, and Target to thousands of public school districts, healthcare systems, and nonprofits. In 2022 we announced our $200M Series F funding round. This Series F fundraise and 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.

When it comes to our workforce strategy, we’ve thought deeply about how work-life should look at Handshake. With our hybrid-work model, employees benefit from collaboration and shared team experiences three days per week in our vibrant offices, and enjoy the flexibility of remote work two days per week. Handshake is headquartered in San Francisco, with offices in New York, London, and Berlin.

What we offer

At Handshake, we'll give you the tools to feel healthy, happy and secure.

Benefits below apply to employees in full-time positions.

💰 Equity and ownership in a fast-growing company.
🍼 16 Weeks of paid parental leave for birth giving parents & 10 weeks of paid parental leave for non-birth giving parents.
💝 Comprehensive medical, dental, and vision policies including LGTBQ+ Coverage. We also provide resources for Mental Health Assistance, Employee Assistance Programs and counseling support.
💻 Handshake offers $500/£360 home office stipend for you to spend during your first 3 months to create a productive and comfortable workspace at home.
📚 Generous learning & development opportunities and an annual $2,000/£1,500/€1,850 stipend for you to grow your skills and career.
💰 Financial coaching through Origin to help you through your financial journey.
🛜 Monthly internet stipend and a brand new MacBook to allow you to do your best work.
🚃 Monthly commuter stipend for you to expense your travel to the office (for office-based employees).
🥗 Free lunch provided twice a week across all offices.
🤝 Referral bonus to reward you when you bring great talent to Handshake.

(US-specific benefits, in addition to the first section)

🏦 401k Match: Handshake offers a dollar-for-dollar match on 1% of deferred salary, up to a maximum of $1,200 per year.
🏝 All full-time US-based Handshakers are eligible for our flexible time off policy to get out and see the world. In addition, we offer 8 standardized holidays, and 2 additional days of flexible holiday time off. Lastly, we have a Winter #ShakeBreak, a one-week period of Collective Time Off.
🍼 Family support: We partner with Milk Stork to provide comprehensive 100% employer-sponsored lactation support to traveling parents and guardians. Parental leave coaching and support provided by Parentaly.

Looking for more? Explore our mission, values and comprehensive US benefits at joinhandshake.com/careers.

Handshake is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or reasonable accommodation, please reach out to us at people-hr@joinhandshake.com.

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Staff Machine Learning Engineer - Generative AI