WHOOP · 1 day ago
Senior ML Operations Engineer
Boston, MA
Full-time
Onsite
Senior Level
$150K/yr - $210K/yr
5+ years expWHOOP is on a mission to unlock human performance and healthspan by empowering members to understand their bodies and daily lives. They are looking for a Senior ML Operations Engineer to join their MLOps team, focusing on the development and optimization of ML cloud infrastructure to support Data Science and AI teams.
Consumer ElectronicsFitnessSportsWearablesWellness
Responsibilities
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 SageMaker, Lambda, and ECS to build scalable, cost-effective solutions that support real-time ML/AI workloads
Monitor and optimize the performance of ML models in production, addressing issues related to latency, scalability, and resource utilization
Act as a key technical partner to Data Scientists, providing guidance on best practices for model deployment, versioning, and infrastructure design
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
Qualification
Required
Bachelor's Degree: A degree in Computer Science, Software Engineering, or a related field; or equivalent practical experience
5+ years of experience in software engineering, with a significant focus on building and maintaining ML infrastructure in cloud environments
Deep expertise in AWS services, including but not limited to SageMaker, Lambda, ECS, S3, and IAM, with the ability to design and optimize cloud-based ML infrastructure
Strong programming skills in languages such as Python or Java, with a focus on building robust, maintainable code
Proven experience in productionalizing ML models, including building APIs and services that enable real-time inference
Expertise in designing scalable, resilient cloud architectures that support large-scale ML operations
Strong understanding of microservices, distributed systems, and the challenges of deploying and maintaining ML models in production environments
Excellent collaboration skills, with the ability to work closely with Data Scientists, AI and Software teams, and other cross-functional stakeholders
Agile Methodologies: Experience working in Agile/Scrum environments, with a focus on rapid iteration and continuous improvement
Benefits
Meaningful equity
Benefits
Generous equity package
Company
WHOOP
WHOOP is a fitness tech company that offers wearables that track sleep, recovery, and performance.
501-1000 employees
H1B Sponsorship
WHOOP has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (32)
2024 (18)
2023 (15)
2022 (5)
2021 (17)
2020 (6)
Funding
Current Stage
Late StageTotal Funding
$404.75MKey Investors
SoftBank Vision FundIVPFoundry Group
2021-08-30Series F· $200M
2020-10-28Series E· $100M
2019-11-12Series D· $55M
Leadership Team
Will Ahmed
Founder & CEO
Aurelian Nicolae
Co-Founder & Chief Hardware Engineer
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Company data provided by crunchbase