Full-Time

Staff Machine Learning Engineer

Generative AI

Confirmed live in the last 24 hours

Handshake

Handshake

501-1,000 employees

Connects students with job opportunities

Cybersecurity
Education

Compensation Overview

$235k - $260kAnnually

Senior, Expert

United States

Hybrid-work model requires in-office presence three days per week.

Category
Applied Machine Learning
Natural Language Processing (NLP)
AI & Machine Learning
Required Skills
Data Science
Product Management
AWS
Natural Language Processing (NLP)
Data Analysis
Google Cloud Platform
Requirements
  • Bachelor’s degree in Computer Science or related technical field or equivalent technical experience.
  • 4+ years of industry ML experience as TL or TLM
  • MS/Ph.D. in Machine Learning, Statistics or a related field (preferred)
  • 7+ years of industry ML experience as TL or TLM (preferred)
  • End-to-End experience building web-scale AI systems, feature stores, microservices (preferred)
  • Background in one or more of the following areas of machine learning: recommendations, optimization, natural language processing (NLP), deep learning, LLMs, explainable AI (preferred)
  • Experience building applications atop of IAAS (Google Cloud Platform, Amazon Web Services, Azure Cloud Services, etc.) (preferred)
  • Experience working directly with cross-functional teams such as product management, analytics, engineering, and design (preferred)
  • 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) (preferred)
Responsibilities
  • setting technical direction, shaping engineering culture, identifying and adopting industry best practices, designing effective partnerships across the company, mentoring and coaching peers
  • 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
  • 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
  • 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

Handshake connects college students with job and internship opportunities through its platform. It serves over 15 million students, 1,500 universities, and 900,000 employers, focusing on early career recruitment. The platform allows universities to provide students access to job listings, career fairs, and recruitment events, while employers can post job openings and manage recruitment processes. Handshake's user-friendly interface helps students organize their job search and offers insights like company reviews. The company prioritizes data privacy and security, ensuring compliance with regulations like FERPA. Handshake aims to bridge the gap between students and employers, facilitating early career opportunities.

Company Stage

Series F

Total Funding

$422.2M

Headquarters

San Francisco, California

Founded

2014

Growth & Insights
Headcount

6 month growth

0%

1 year growth

-2%

2 year growth

-2%
Simplify Jobs

Simplify's Take

What believers are saying

  • Handshake's new social media-like interface boosts user engagement.
  • Growing student loan repayment benefits attract more employers to Handshake.
  • Demand for skills-based workforce aligns with Handshake's mission.

What critics are saying

  • Emerging competitors like Fizz target Handshake's demographic with financial products.
  • Intuit's collaboration may draw students away from Handshake.
  • AI-driven skills demand may reduce engagement with Handshake.

What makes Handshake unique

  • Handshake connects over 15 million students with 900,000 employers.
  • The platform offers a user-friendly interface for job and internship applications.
  • Handshake ensures data privacy, complying with regulations like FERPA.

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Benefits

💰Equity and ownership in a fast-growing company.

🍼16 Weeks of paid parental leave

💝Comprehensive medical, dental, and vision

💻Handshake offers $500/£360 home office stipend

📚Generous learning & development opportunities and an annual $2,000/£1,500/2k€ stipend

🏦401k Match: Handshake offers a dollar-for-dollar match on 1% of deferred salary, up to a maximum of $1,200 per year.

🏝PTO