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Senior
Handshake
32 days ago

Machine Learning Engineer

Full-time
San Francisco
Ruby on Rails
Pyspark
Elasticsearch
Swift

Handshake
https://www.joinhandshake.com/
"Our mission is to democratize opportunity" - to make it easy for any student to build a great career, no matter where they go to school, what they're majoring in, or who they know. Backed by $34m from Spark Capital, Kleiner Perkins, True Ventures and Lightspeed Partners, Handshake has partnered with 500 universities (schools of all sizes and locations, including Stanford, Princeton, UVA, Michigan, Texas, Spelman and Harvey Mudd), and has more than 8 million student profiles and 200,000 companies recruiting on our platform, including 100% of the Fortune 500. Our extensive data on students' interests and historical career outcomes gives Handshake the unique ability to help students imagine, plan and jumpstart their future careers. Come join our passionate, diverse team at our beautiful office in the heart of the Mission in San Francisco!

Development team 
We use source control.
We can make a build in one step.
We use an issue tracker.
We build our code at least daily.
We fix bugs before writing new code.
We have an up-to-date schedule.
The whole team understands product requirements and decisions.
Programmers have quiet working conditions.
We use the best tools money can buy.
We write unit tests for our own code.
Candidates write code during the interview.
We do hallway usability testing.

We believe that talent is equally distributed, but opportunity is often not. Come help us democratize opportunities with a team of humble and mission-oriented engineers!


Job description

Our mission is to democratize opportunity - to make it easy for any student to build a great career, no matter where they go to school, what they're majoring in, or who they know.

Backed by $34m from Spark Capital, Kleiner Perkins, True Ventures and Lightspeed Partners, Handshake has partnered with 500 universities (schools of all sizes and locations, including Stanford, Princeton, UVA, Michigan, Texas, Spelman and Harvey Mudd), and has more than 8 million student profiles and 200,000 companies recruiting on our platform, including 100% of the Fortune 500. Our extensive data on students' interests and historical career outcomes gives Handshake the unique ability to help students imagine, plan and jumpstart their future careers.

Come join our passionate, diverse team at our beautiful office in the heart of the Mission in San Francisco!

What does a Machine Learning Engineer do at Handshake?

You are a pragmatic experimenter - someone who is deeply passionate about Handshake’s mission, and motivated to get their hands dirty to test and productize new features: job recommendations, search quality, career path builders, fraud detection, you name it.

You will enjoy working with an incredibly rich and fast-growing data set:

  • Entity graph and metadata of universities and hundreds of thousands of employers, from Fortune 500 to small-and-medium businesses
  • Comprehensive student profiles, interest graphs and rich interaction data from millions of students growing exponentially every year
  • A growing repository of user-generated content

Here are some projects we're excited for you to work on at Handshake

  • Wrangle all of the data :-)
  • Build & Experiment: Apply the best methodology and tools available (Spark, Airflow, TensorFlow etc). Build proof-of-concepts, and measure results against hypothesis.
  • Collaborate & Ship Products: Make educated trade-offs, and work closely with product and engineering teams to quickly iterate and ship features.
  • User-focused: Always focus on user impact. We are building the best platform to democratize career opportunities for students and young professionals.
  • Leadership: Mentor junior members and help build a strong data team and culture.

What we look for

You have a background in computer science or a related technical field, at least 3 years of experience working with large datasets, and shipping machine-learning-based features. You are scrappy, entrepreneurial, results-focused, proactive, a team-player, and have success using analytics and machine-learning to build products and drive key results.

  • Bold, builder mentality.
  • 2+ years of shipping machine learning code, with at least 4+ years software engineering experience
  • Experience with large data sets and distributed computing (Hive/Hadoop/Spark) a plus.
  • Experience building and tuning search engines and recommendation engines a big plus.
  • Ability to independently initiate and drive projects to completion.
  • Ability to communicate the results of analyses in a clear and effective manner.
  • Bachelor Degree in Computer Science, Math, Physics, Engineering, or related quantitative field. Advanced degrees preferred, but not required.

Benefits

  • Stock: Sizable ownership in a fast-growing company.
  • Family Focus: Parental leave (12 weeks maternity / 4 weeks paternity), and flexibility for families.
  • Time Off: Flexible vacation policy to encourage people to get out and see the world.
  • Healthcare: World-class medical, dental, and vision policies.
  • 401k: We care about your ability to save for your future.
  • Goodies: Whatever hardware and software you need to get the job done.
  • Team Fun: Regularly scheduled events, sports, game nights, book clubs.
  • Learning: Learning & Development opportunities for you to grow your skills and career.
  • Great team: Working with fun, hard working, nice people who are committed to making a difference!
  • ...And much more!

We value diversity of all kinds, and are committed to building a diverse and inclusive workplace where we learn from each other. We are an equal opportunity employer and welcome people of all different backgrounds, experiences, abilities, and perspectives.

Handshake Company Values

Students First

Our mission is 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. We empathize deeply with our students to increase career opportunities for all.

Focus on Impact

We stay humble and work hard to democratize opportunity for all students. We like to have fun - and we do! - but we’re more focused on making an impact. Yes, of course, we have a ping-pong table - it’s just packed away in the closet!

Move Quickly, But Don’t Rush

We believe speed wins, and our operational

Hiring manager
Head of Data
We believe that talent is equally distributed, but opportunity is often not. Come help us democratize opportunities with a team of humble and mission-oriented engineers!

job closed