Staff Machine Learning Engineer, Handshake
Generative AI
$235-260k
College career network and job board
Open for applications
College career network and job board
501-1000 employees
Open for applications
$235-260k
501-1000 employees
Company mission
To democratize access to opportunity and ensure any student can build a great career no matter who they know, where they live or what school they attend.
Role
Who you are
- Bachelor’s degree in Computer Science or related technical field or equivalent technical experience
- 4+ years of industry ML experience as TL or TLM
Desirable
- 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)
What the job involves
- Handshake is hiring a Staff Machine Learning Engineer with a focus on Generative AI and Recommendations reporting to our Head of Core Relevance
- 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
- 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 - enabling effective collaboration, high-quality execution, and technical excellence across the Data organization
- You will be an Innovator - developing algorithms and Machine Learning pipelines 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
Our take
The three founders of Handshake established their company in an attempt to eliminate inequality and make the student hiring landscape fairer. The Handshake platform acts as a LinkedIn for college students, pairing students from every walk of life with more than 650K employers, including the entire Fortune 500, which includes Google and Nike.
The graduate recruitment platform is open to any student with a valid @.edu email address, with more than 12 million active users from thousands of colleges and universities. With a student-first philosophy, the company generates revenue from both universities and employers rather than students.
Valued at $3.5B, Handshake has gained traction in a competitive market, although it has strong competition from recruiting giants LinkedIn and Indeed. It stands out, however, by helping students build new relationships and skills, rather than simply making connections to people they already know.
Steph
Company Specialist
Insights
Company
Funding (last 2 of 7 rounds)
Jan 2022
$200m
SERIES F
May 2021
$80m
SERIES E
Total funding: $434m
Company benefits
- 💰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 stipend for you to grow your skills and career
- 🏦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 Summer and Winter #ShakeBreak, two one-week periods of Collective Time Off
Company HQ
Financial District, San Francisco, CA
Articles
Leadership
Garrett Lord
(Co-Founder & CEO)Majored in Computer Science at Michigan Technological University. Interned at Palantir Technologies before co-founding Handshake in 2012.
Ben Christensen
(Co-Founder)Graduated from Michigan Technological University with a degree in Computer Networking & Systems Administration. Interned at Target and worked as a Developer at Up and Running Software. Was part of Arbor Networks' ASERT Security Research team.
Scott Ringwelski
(Co-Founder)Attained a degree in Computer Software Engineering from Michigan Technological University. Co-founded Handshake in 2012.
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