Software Engineer; MLOps

Responsibilities

• We are looking for a talented and passionate Software Engineer II to join our MLOps team, focusing on the development and optimization of ML cloud infrastructure
• In this role, you will play a critical part in supporting our Data Science and AI teams by building robust, scalable systems for the productionalization of machine learning models
• Your work will be at the heart of bringing advanced ML/AI solutions into production, ensuring they are reliable, scalable, and ready to drive value across WHOOP
• 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, ensuring seamless transitions from development to production environments
• Collaborate closely with Data Scientists and AI teams to understand model requirements and facilitate the transition from prototype to production
• Develop APIs, microservices, and other components necessary to integrate ML models into existing systems, enabling real‑time inference and decision‑making
• Leverage cloud services to optimize the deployment and performance of machine learning models and associated infrastructure. Utilize services such as AWS Sage Maker, Lambda, and ECS to build scalable, cost‑effective solutions that support real‑time ML/AI workloads
• Support AI teams by troubleshooting and resolving technical challenges related to model deployment and performance in production
• Stay up-to-date with the latest advancements in ML infrastructure, cloud computing, and AI deployment strategies. Proactively suggest and implement improvements to enhance the efficiency, reliability, and scalability of ML operations within the organization

• Flexible Vacation: WHOOP has a flexible vacation policy that allows you to unwind, laptop‑free, when you need it most.
• Focus on Family:
  We offer 18 weeks paid parental leave, plus an additional 2 weeks to gradually return to work.
• Get Invested:
  In addition to a competitive base salary and 401k, you’re eligible to receive stock options to share in the future of WHOOP.
• WHOOP +1:
  Everyone on the team gets a complimentary WHOOP membership—plus another membership to share with a loved one.
• Health Matters:
  Our competitive benefits package covers medical, dental, and vision, in addition to mental health services, life and disability insurance, and more.
• Find Your Fit:
  Full‑time employees get $500 a year to spend on wellness in whatever way they see fit, from fitness classes and memberships, to recovery services.
• It Pays to Sleep:
  Our Sleep Performance Program incentivizes employees to get more sleep. Log an average sleep performance of 85% or higher for the month and get a $100 bonus.
• Location, Location,
  
  Location:
  
  You can’t beat the views from the rooftop of One Kenmore Square. Feel inspired daily as you work, enjoy free snacks and coffee, and collaborate in the heart of Boston.

Familiarity with Cloud Computing concepts and design patterns; 2+ years of experience in software engineering, with a significant focus on building and maintaining ML infrastructure in cloud environments;
Bachelor’s Degree in Computer Science, Software Engineering, or a related field; or equivalent practical experience; an understanding of the steps of ML lifecycle including model training and evaluation as well as monitoring a model in production; experience in writing code in a functional or object‑oriented programming language such as Python or Java; a high level of curiosity to keep up with industry trends and a proven ability to find creative solutions to novel problems;

excellent collaboration skills, with the ability to work closely with Data Scientists, AI and Software teams, and other cross‑functional stakeholders.

Interested in the role, but don’t meet every qualification? We encourage you to still apply! At WHOOP, we believe there is much more to a candidate than what is written on paper, and we value character as much as experience.