Senior ML Operations Engineer, WHOOP
$150-210k
More information about location
Wearable health and fitness devices
Job no longer available
Wearable health and fitness devices
1001+ employees
Job no longer available
$150-210k
More information about location
1001+ employees
Company mission
To unlock human performance and Healthspan.
Role
Who you are
- 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
What the job involves
- We are looking for a highly skilled Senior Software Engineer 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 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 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
Our take
WHOOP develops wearable health-tracking devices designed to help athletes optimise their performance. Its technology continuously monitors recovery, sleep, and training hours to fine-tune both individual and team performance. Unlike competitors that primarily track exercise data, WHOOP's holistic approach includes metrics like heart rate variability, which can influence more effective and healthier exercise routines.
By focusing on a subscription model that includes the cost of the physical device, WHOOP differentiates itself from competitors that charge a higher one-time fee for their products. This model provides ongoing value and encourages users to stay engaged with their health data.
WHOOP's comprehensive monitoring of strain and recovery has given it a competitive edge, even as other brands like Fitbit have incorporated similar features. Beyond sports performance, WHOOP has conducted extensive research on predicting premature births, aiming to integrate these findings into their app. This commitment to broader health applications demonstrates WHOOP's dedication to advancing wearable health technology.
Steph
Company Specialist at Welcome to the Jungle
Insights
1% employee growth in 12 months
Company
Funding (last 2 of 8 rounds)
Aug 2021
$200m
SERIES F
Oct 2020
$100m
SERIES E
Total funding: $404.8m
Company benefits
- 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.
Company HQ
West Fens, Boston, MA
Leadership
Will Ahmed
(Founder & CEO)After graduating from Harvard with a Bachelor of Arts in Government and Economics, Will went on to hold Summer Analyst roles at Allen & Company and Lindsay Goldberg before founding WHOOP in 2012.
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