Staff+ Machine Learning Engineer
Generative AI
Confirmed live in the last 24 hours
Career launch platform connecting students with employers
Company Overview
Handshake stands out as a leading career platform, bridging the gap between over 13 million students and alumni from diverse educational backgrounds and more than 850,000 employers worldwide, including Fortune 500 companies and public institutions. The company's culture fosters inclusivity and accessibility, enabling individuals to launch their careers regardless of their connections or experience. With a robust technical platform that simplifies the application process and a global presence, Handshake demonstrates industry leadership in connecting talent with opportunity.
Education
Company Stage
Series F
Total Funding
$434M
Founded
2014
Headquarters
San Francisco, California
Growth & Insights
Headcount
6 month growth
↑ 3%1 year growth
↑ 1%2 year growth
↑ 54%Locations
San Francisco, CA, USA • Remote in USA • New York, NY, USA • Denver, CO...
Experience Level
Entry
Junior
Mid
Senior
Expert
Desired Skills
Apache Spark
AWS
BigQuery
Data Analysis
Data Structures & Algorithms
Google Cloud Platform
Hadoop
Java
Microsoft Azure
R
Ruby
Snowflake
SQL
Natural Language Processing (NLP)
Python
Go
CategoriesNew
AI & Machine Learning
Software Engineering
Requirements
- Basic Qualifications
- Bachelor's degree in Computer Science or related technical field or equivalent technical experience
- 4 years of industry experience
- Preferred Qualifications:
- MS/Ph.D. in Machine Learning, Statistics or a related field
- 7+ years of industry experience
- Experience with modern Machine Learning, Natural Language Processing and Text-mining technologies
- Experience with large-scale distributed systems, server-side engineering, and ML applications in consumer products
- Experience using analytics/ML tools such as Python, R, Spark, BigQuery SQL, or Snowflake
- Experience in any of Golang, Java, Python, or Ruby
- Experience with distributed computing frameworks such as Hadoop or Spark, or distributed training of Machine Learning models
- Experience building applications atop of IAAS (Google Cloud Platform, Amazon Web Services, Azure Cloud Services, etc.)
- Experience in optimizing multi-sided marketplaces using ML algorithms
- 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)
- Ability to diagnose technical problems, debug code, and automate routine tasks
Responsibilities
- 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
- 🏦 Pension Scheme: Handshake will provide you with a workplace pension, where you will make contributions based on 5% of your salary. Handshake will pay the equivalent of 3% towards your pension plan, subject to qualifying earnings limits
- 🏝 Up to 25 days of vacation to encourage people to reset, recharge, and refresh, in addition to 8 bank holidays throughout the year