Whoop
Software Engineer II, ML Ops
Boston, MA · Mid · Full-time
Sponsorship not specified$125k-$175kDetected 8 days ago
PythonJavaObject-Oriented ProgrammingAWSCI/CDMachine LearningData ScienceMLOpsCollaboration
About the role
- This role is based in the WHOOP office located in Boston, MA.
- Interested in the role, but don't meet every qualification?
- The U.S. base salary range for this full-time position is $125,000 - $175,000.
Responsibilities
- 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.
- 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.
- Implement automated pipelines for continuous integration and continuous deployment (CI/CD) of ML models, ensuring seamless transitions from development to production environments.
- Utilize services such as AWS SageMaker, Lambda, and ECS to build scalable, cost-effective solutions that support real-time ML/AI workloads.
Requirements
- Bachelor's Degree: A degree in Computer Science, Software Engineering, or a related field
- 2+ years of experience in software engineering, with a significant focus on building and maintaining ML infrastructure in cloud environments.
- Experience in writing code in a functional or object oriented programming language such as Python or Java
- Excellent collaboration skills, with the ability to work closely with Data Scientists, AI and Software teams, and other cross-functional stakeholders.
- A high level of curiosity to keep up with industry trends and a proven ability to find creative solutions to novel problems.
- The successful candidate must be prepared to relocate if necessary to work out of the Boston, MA office.
- or equivalent practical experience.
- Familiarity with Cloud Computing concepts and design patterns
- An understanding of the steps of ML lifecycle including model training and evaluation as well as monitoring a model in production.
- This role is based in the WHOOP office located in Boston, MA. The successful candidate must be prepared to relocate if necessary to work out of the Boston, MA office.
- 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. As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply.
- WHOOP is an Equal Opportunity Employer and participates in E-verify https://www.e-verify.gov/to determine employment eligibilityThe WHOOP compensation philosophy is designed to attract, motivate, and retain exceptional talent by offering competitive base salaries, meaningful equity, and consistent pay practices that reflect our mission and core values.
- At WHOOP, we view total compensation as the combination of base salary, equity, and benefits, with equity serving as a key differentiator that aligns our employees with the long-term success of the company and allows every member of our corporate team to own part of WHOOP and share in the company's long-term growth and success.
- The U.S. base salary range for this full-time position is $125,000 - $175,000. Salary ranges are determined by role, level, and location. Within each range, individual pay is based on factors such as job-related skills, experience, performance, and relevant education or training. In addition to the base salary, the successful candidate will also receive benefits and a generous equity package. These ranges may be modified in the future to reflect evolving market conditions and organizational needs. While most offers will typically fall toward the starting point of the range, total compensation will depend on the candidate's specific qualifications, expertise, and alignment with the role's requirements.
Compensation
- The U.S. base salary range for this full-time position is $125,000 - $175,000.
Benefits
- Design, develop, and maintain cloud-based infrastructure to support the deployment and scaling of machine learning models.
- Leverage cloud services to optimize the deployment and performance of machine learning models and associated infrastructure.
This listing is sourced directly from Whoop's careers page and normalized into a canonical job model.