WHOOP Logo

WHOOP

Software Engineer, Machine Learning

Sorry, this job was removed at 01:42 p.m. (EST) on Tuesday, May 28, 2024
Easy Apply
Hybrid
Boston, MA
Easy Apply
Hybrid
Boston, MA

At WHOOP, we're on a mission to unlock human performance. WHOOP empowers its members to perform at a higher level through a deeper understanding of their bodies and daily lives.

RESPONSIBILITIES:

  • Build and design tools and infrastructure to support Data Scientists at Whoop as they develop, deploy, and monitor machine learning models. Duties include:
  • Develop and maintain Whoop’s full stack internal toolset including VueJS, Java, Postgres.
  • Work closely with Data Science team members to support model development, training,
  • and monitoring.
  • Contribute to new software feature ideation, planning, and development.
  • Consistently deliver features and PRs with an iterative approach.
  • Follow and introduce best practices around software testing, observability, and monitoring.
  • Perform troubleshooting with logging and monitoring tools such as DataDog, Sentry, and Kibana.

QUALIFICATIONS:

  • Master’s Degree in Computer Science, Data Science, or closely related field, plus 2 years’ experience developing and delivering machine learning models into production, or in the alternative, a Bachelor’s Degree in Computer Science, Data Science or closely related field, plus 5 years’ experience developing and delivering machine learning models into production.
  • Experience, which may have been gained concurrently with primary requirement above, must
  • include 2 years of experience with:
  • Front end development in a modern framework including/ similar to Vue or React,
  • API design and development with languages that include Java, C++, Rust, or Python.
  • Using SQL for relational database design and development.
  • Troubleshooting utilizing AWS Cloudwatch, DataDog, Sentry or Kibana.
  • Utilizing Cloud computing platforms including AWS, Azure, or GCP.
  • Working with data science scripting language of Python or R.

This is a hybrid position working 3 days/week from the company office in Boston, MA and 2 days/week working from home.

 

WHOOP is an Equal Opportunity Employer and participates in E-verify to determine employment eligibility.

HQ

WHOOP Boston, Massachusetts, USA Office

1 Kenmore Sq, Boston, MA, United States, 02215

Similar Jobs at WHOOP

Yesterday
Easy Apply
Hybrid
Boston, MA, USA
Easy Apply
Mid level
Mid level
Fitness • Hardware • Healthtech • Sports • Wearables
The Business Analyst II focuses on using data analytics to support growth initiatives, enhance member engagement, and drive retention strategies for WHOOP's platform.
2 Days Ago
Easy Apply
Hybrid
Boston, MA, USA
Easy Apply
Entry level
Entry level
Fitness • Hardware • Healthtech • Sports • Wearables
As a Data Engineer at WHOOP, you'll design and optimize data pipelines, manage AWS infrastructure, and integrate modern data tools to enhance analytical capabilities.
Top Skills: AWSDbtKafkaSnowflakeSpark
2 Days Ago
Easy Apply
Hybrid
Boston, MA, USA
Easy Apply
Mid level
Mid level
Fitness • Hardware • Healthtech • Sports • Wearables
Design and conduct clinical studies, oversee data analysis, provide insights to support clinical goals, and ensure regulatory-compliant documentation.
Top Skills: PythonRSASSnowflakeStata

What you need to know about the Boston Tech Scene

Boston is a powerhouse for technology innovation thanks to world-class research universities like MIT and Harvard and a robust pipeline of venture capital investment. Host to the first telephone call and one of the first general-purpose computers ever put into use, Boston is now a hub for biotechnology, robotics and artificial intelligence — though it’s also home to several B2B software giants. So it’s no surprise that the city consistently ranks among the greatest startup ecosystems in the world.

Key Facts About Boston Tech

  • Number of Tech Workers: 269,000; 9.4% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Thermo Fisher Scientific, Toast, Klaviyo, HubSpot, DraftKings
  • Key Industries: Artificial intelligence, biotechnology, robotics, software, aerospace
  • Funding Landscape: $15.7 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Summit Partners, Volition Capital, Bain Capital Ventures, MassVentures, Highland Capital Partners
  • Research Centers and Universities: MIT, Harvard University, Boston College, Tufts University, Boston University, Northeastern University, Smithsonian Astrophysical Observatory, National Bureau of Economic Research, Broad Institute, Lowell Center for Space Science & Technology, National Emerging Infectious Diseases Laboratories

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account