Software Engineer II, ML Ops

Whoop
Boston
Workplace: OnsiteFull timeUSD 125,000 - 175,000 annuallyFunction: Software EngineeringExperience: 2+ yearsEducation: bachelorsSkills: ["Collaboration","Troubleshooting","Curiosity","Cross-functional communication"]

Build and optimize ML cloud infrastructure for productionizing machine learning models. Own CI/CD pipelines to move models from development to production, and create APIs and microservices for real-time inference. Collaborate with data scientists and AI teams to support deployment, scaling, and performance, using AWS services like SageMaker, Lambda, and ECS. Troubleshoot production issues and continuously improve reliability, scalability, and efficiency of ML ops.

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Whoop
Whoop
3 weeks ago

Software Engineer II, ML Ops

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Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 13 hours agoStatus: Live

Job Summary

Build and optimize ML cloud infrastructure for productionizing machine learning models. Own CI/CD pipelines to move models from development to production, and create APIs and microservices for real-time inference. Collaborate with data scientists and AI teams to support deployment, scaling, and performance, using AWS services like SageMaker, Lambda, and ECS. Troubleshoot production issues and continuously improve reliability, scalability, and efficiency of ML ops.
Location: Boston
Workplace: Onsite
Employment Type: Full time
Job Function: Software Engineering
Seniority: Mid level

Key Responsibilities

  • •Design, develop, and maintain cloud-based infrastructure to deploy and scale machine learning models.
  • •Implement CI/CD pipelines for continuous deployment of ML models from development to production.
  • •Collaborate with data scientists and AI teams to translate model requirements into production systems.
  • •Develop APIs, microservices, and components to integrate ML models for real-time inference and decision-making.
  • •Use cloud services to optimize deployment and performance, troubleshoot production issues, and suggest improvements to ML operations.

Pay and Benefits

Salary: USD 125,000 - 175,000 annually
Equity and Bonus:Equity

Key Requirements

  • •Bachelor’s degree in Computer Science, Software Engineering, or a related field (or equivalent practical experience).
  • •2+ years of software engineering experience focused on building and maintaining ML infrastructure in cloud environments.
  • •Experience with cloud computing concepts and design patterns.
  • •Ability to write code in a functional or object-oriented language such as Python or Java.
  • •Understanding of the ML lifecycle (training/evaluation) and monitoring models in production.
Experience:2+ yearsMachine learningAI deploymentMLOpsCloud infrastructure
Education:Bachelor's
Skills:CollaborationTroubleshootingCuriosityCross-functional communication
Tech Stack:ML OpsMachine learning modelsCI/CDAPIsMicroservicesAWS SageMakerAWS LambdaECSCloud computingReal-time inferencePythonJava

Company Brief

Whoop
Whoop designs and sells a subscription-based wearable fitness tracker and analytics platform that monitors recovery, strain, and sleep to optimize athletic performance and daily health for consumers and professional athletes.
Industry: Wearables
Company Size: Large (251 to 1,000 employees)
Growth: Scaleup
Valuation: Unicorn (USD 1B+)
Funding: Series E+
Headquarters: Boston, United States
Founded: 2012
WebsiteLinkedIn