Whoop

1 week ago

Software Engineer II, MLOps

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 3 hours agoStatus: Live

Job Summary

Build and optimize cloud infrastructure that powers the deployment and scaling of machine learning models. Own automated CI/CD pipelines from development to production, and collaborate with Data Scientists and AI teams to productionalize prototypes. Develop APIs and microservices for real-time inference, using AWS services like SageMaker, Lambda, and ECS. Troubleshoot production model performance and continuously improve reliability and scalability of MLOps systems.

Location: Boston

Workplace: Onsite

Employment Type: Full time

Job Function: Software Engineering

Seniority: Mid level

Key Responsibilities

•Design, develop, and maintain cloud infrastructure to deploy and scale machine learning models.
•Implement CI/CD pipelines for ML models to transition smoothly from development to production.
•Collaborate with Data Scientists and AI teams to understand model requirements and enable production rollout.
•Develop APIs and microservices to integrate ML models into existing systems for real-time inference and decisions.
•Troubleshoot production deployment/performance issues and continuously improve reliability, scalability, and efficiency of MLOps.

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 related field, or equivalent practical experience.
•2+ years of software engineering experience with a focus on building and maintaining ML infrastructure in cloud environments.
•Familiarity with cloud computing concepts and design patterns.
•Experience writing code in functional or object-oriented languages such as Python or Java.
•Understanding of the ML lifecycle, including training/evaluation and monitoring models in production.

Experience:2+ years

Education:Bachelor's in Computer Science, Software Engineering, or a related field

Skills:CollaborationCuriosityProblem-solving

Languages:PythonJava

Tech Stack:AWS SageMakerLambdaECSCI/CDAPIsMicroservicesCloud computing

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

Website LinkedIn

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Whoop

1 week ago

Software Engineer II, MLOps

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 3 hours agoStatus: Live

Job Summary

Location: Boston

Workplace: Onsite

Employment Type: Full time

Job Function: Software Engineering

Seniority: Mid level

Key Responsibilities

•Design, develop, and maintain cloud infrastructure to deploy and scale machine learning models.
•Implement CI/CD pipelines for ML models to transition smoothly from development to production.
•Collaborate with Data Scientists and AI teams to understand model requirements and enable production rollout.
•Develop APIs and microservices to integrate ML models into existing systems for real-time inference and decisions.
•Troubleshoot production deployment/performance issues and continuously improve reliability, scalability, and efficiency of MLOps.

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 related field, or equivalent practical experience.
•2+ years of software engineering experience with a focus on building and maintaining ML infrastructure in cloud environments.
•Familiarity with cloud computing concepts and design patterns.
•Experience writing code in functional or object-oriented languages such as Python or Java.
•Understanding of the ML lifecycle, including training/evaluation and monitoring models in production.

Experience:2+ years

Education:Bachelor's in Computer Science, Software Engineering, or a related field

Skills:CollaborationCuriosityProblem-solving

Languages:PythonJava

Tech Stack:AWS SageMakerLambdaECSCI/CDAPIsMicroservicesCloud computing

Company Brief

Whoop

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

Website LinkedIn