Software Engineer II (MLOps)

WHOOP empowers members to perform at a higher level through a deeper understanding of their bodies and daily lives.
Machine Learning
Mid-Level Software Engineer
In-Person
2+ years of experience
AI

Description For Software Engineer II (MLOps)

WHOOP is on a mission to unlock human performance through technology that helps members understand their bodies and daily lives better. We're seeking a Software Engineer II to join our MLOps team, focusing on ML cloud infrastructure development and optimization. This role is crucial in supporting our Data Science and AI teams by building robust, scalable systems for productionalizing machine learning models.

The position offers an opportunity to work at the intersection of ML/AI and production systems, ensuring reliable and scalable solutions that drive value across WHOOP. You'll be responsible for designing and maintaining cloud-based infrastructure, implementing CI/CD pipelines for ML models, and developing necessary components for seamless integration.

Working closely with Data Scientists and AI teams, you'll leverage cloud services like AWS SageMaker, Lambda, and ECS to build cost-effective solutions supporting real-time ML/AI workloads. The role requires strong technical skills in Python or Java, understanding of ML lifecycle, and cloud computing expertise.

Based in Boston, MA, this role offers a chance to work with cutting-edge technology in a company that values innovation and creative problem-solving. WHOOP encourages applications from candidates who might not meet every qualification, believing in the importance of character alongside experience. The company maintains an inclusive environment and participates in E-verify for employment eligibility.

Last updated 14 days ago

Responsibilities For Software Engineer II (MLOps)

  • Design, develop, and maintain cloud-based infrastructure to support the deployment and scaling of machine learning models
  • Implement automated pipelines for continuous integration and continuous deployment (CI/CD) of ML models
  • Collaborate with Data Scientists and AI teams to understand model requirements
  • Develop APIs, microservices, and other components for ML model integration
  • Leverage cloud services to optimize ML model deployment and performance
  • Support AI teams in troubleshooting and resolving technical challenges
  • Stay up-to-date with latest advancements in ML infrastructure

Requirements For Software Engineer II (MLOps)

Python
Java
  • Bachelor's Degree in Computer Science, Software Engineering, or related field
  • 2+ years of experience in software engineering with ML infrastructure focus
  • Familiarity with Cloud Computing concepts and design patterns
  • Experience in Python or Java programming
  • Understanding of ML lifecycle including model training and evaluation
  • Excellent collaboration skills
  • High level of curiosity and ability to find creative solutions

Interested in this job?

Jobs Related To WHOOP Software Engineer II (MLOps)

ML Compiler Engineer, AWS Neuron, Annapurna Labs

ML Compiler Engineer position at AWS Neuron team, focusing on developing compiler technology for deep-learning workloads and contributing to cutting-edge ML infrastructure.

Software Development Engineer, Promotion Analytics and Optimization Services

Software Development Engineer role at Amazon focusing on machine learning and data analytics for promotion optimization, offering competitive salary and benefits in Vancouver.

Software Development Engineer, Predictive Targeting

Software Development Engineer role at Amazon focusing on machine learning and predictive analytics for customer targeting systems.

AI Software Engineer

AI Software Engineer position at HelpFlow to build multi-agent AI systems, requiring strong programming and AI development experience, offering remote work with potential for full-time employment.

Programmer Analyst 4 - AI Developer

Mid-level AI Developer position at DMV IT Service LLC, focusing on Document AI application maintenance and enhancement using GCP, requiring 3+ years of experience.