高级机器学习运维（MLOps）工程师
Senior ML Operations (MLOps) Engineer
加入Eight Sleep的睡眠健身运动
在Eight Sleep，我们致力于通过最佳睡眠激发人类潜能。作为全球首家睡眠健身公司，我们正在重新定义什么是充分休息，并打造最先进的硬件、软件和人工智能技术来实现这一目标。我们的产品通过将每晚的睡眠转化为个性化的数据驱动恢复体验，从而提升人们的思维、身体和情绪表现。
Eight Sleep的每个职位都是一个机会，去创造尖端技术，与世界级人才合作，并塑造一个睡眠不再是被动行为，而是改善生活的强大工具的未来。如果你厌倦了平庸，渴望在可能的边界上构建东西，那么这就是你的时刻。
高标准。不道歉。
我们以高强度运作，因为我们的使命要求如此。在Eight Sleep，我们秉持世界顶级选手的心态：专注、执着，始终努力成为我们领域中的前1%。这不是朝九晚五的工作。我们的团队非常投入，经常付出额外的努力，不是因为被要求这么做，而是因为我们致力于打造具有行业定义意义的东西。
职位描述
作为高级MLOps工程师加入我们的团队，帮助我们将当前和下一代Pod机器学习模型变为现实。你将加入一个小型团队，设计和实施具有高度自主性的解决方案，为我们的会员带来更好的睡眠。你的工作将直接应用于我们现有的Pod设备，影响业务低摩擦且直接有效。我们是一家快速发展的公司，我们欢迎那些拥有成长型思维和强烈愿望的人，帮助我们实现我们的使命：通过最佳睡眠改善人们的生活。
你将做出的贡献
- 推动前沿技术：引入并实施前沿的机器学习技术，将其整合到我们的产品和流程中，以实现健康监测的未来
- 全流程负责：负责设计和运营稳健的机器学习基础设施——构建可扩展的数据、模型和部署管道，确保模型可靠地交付到生产环境
- 跨职能协作：与研发、固件、数据和后端团队合作，确保机器学习推理稳定运行，并能扩展至所有Pod设备
- 优化性能：通过优化训练和推理过程中的计算、存储和部署资源，推动成本效益高、可扩展且高性能的机器学习系统
- 提升工具链和平台
查看英文原文
Join the Sleep Fitness Movement
At Eight Sleep, we're on a mission to fuel human potential through optimal sleep. As the world's first sleep fitness company, we're redefining what it means to be well-rested and building the most advanced hardware, software, and AI technology to make it possible. Our products power peak mental, physical, and emotional performance by transforming every night of sleep into a personalized, data-driven recovery experience.
Every role at Eight Sleep is a chance to create cutting-edge technology, collaborate with world-class talent, and help shape a future where sleep isn't passive, it's a powerful tool for living better. If you're tired of the ordinary and driven to build at the edge of what's possible, this is your moment.
High Standards. No Apologies.
We operate with intensity because our mission demands it. At Eight Sleep, we bring the same mindset as the world's top performers: focused, relentless, and always pushing to be in the top 1% of our craft. This isn't a 9-to-5. Our team is deeply committed, often putting in the extra effort, not because we're told to, but because we're invested in building something category-defining.
The Role
Join our team as a Sr MLOps Engineer to help us bring current and next generations of Pod ML models to life. You'll be a part of a small team designing and implementing solutions with high levels of autonomy to bring our members better sleep. Your work will go directly to our fleet of existing Pods with low friction and direct impact to the business. We are a fast moving and fast growing company, and we embrace individuals with a growth mindset and strong desire to help us achieve our mission: Improving people's lives through optimal sleep.
How you’ll contribute
- Pioneer Cutting-Edge Technology: Introduce and implement cutting-edge ML technologies, integrating them into our products and processes to enable the future of health monitoring
- End-to-End Ownership: Own design and operation of robust ML infrastructure – building scalable data, model, and deployment pipelines that ensure reliable delivery of models to production.
- Cross-functional Collaboration Partner with R&D, firmware, data, and backend teams to ensure ML inference operates reliably and scales to Pods everywhere.
- Optimize for Performance: Drive cost-effective, scalable, and high-performance ML systems by optimizing compute, storage, and deployment resources across training and inference
- Enhance Tooling and Platforms: Develop tooling, micro services, and frameworks to streamline data processing, experimentation, and deployment
- Effective Remote Communication: Thrive in a remote work environment, ensuring clear and direct communication.
What you need to succeed
- Proven Expertise: 5+ years of software engineering experience with a focus on ML infrastructure, distributed systems, or large-scale data processing in Python (e.g., PyTorch, TensorFlow, or similar).
- ML Operations Mastery: Hands-on experience with ML workflow orchestration and CI/CD pipelines for model deployment.
- Scalable Deployment Experience: Demonstrated success shipping ML models to production at scale, handling telemetry, monitoring, and feedback loops across large device fleets or user populations.
- Cloud-Native Expertise: Strong experience with AWS (Lambda, ECS, DynamoDB, CloudWatch) or equivalent cloud platforms for serving and monitoring ML systems.
- Adaptive Problem Solver: A fast-paced, collaborative, and iterative approach to tackling complex problems.
What sets you apart:
- Expertise in real-time ML workflows and streaming systems (e.g., Kinesis, Kafka, Flink).
- Demonstrated expertise in optimizing ML infrastructure for efficiency, latency, and cloud cost at scale.
- Understanding of secure ML operations, privacy practices, and compliance considerations, particularly for health-related or IoT data.
- Familiarity with health, wellness, or IoT domains, especially wearables or medical-grade devices.
Why join Eight Sleep?
Innovation in a culture of excellence
Join us in a workplace where innovation isn’t just encouraged - it’s a standard. Our flagship product, the Pod, is a testament to our culture of excellence, beloved by hundreds of thousands of customers worldwide. At Eight Sleep, you will be part of a team that continuously pushes the boundaries of technology in sleep fitness.
Immediate responsibility and accelerated career growth
From your first day, you’ll take on substantial responsibilities that have a direct impact on our core business and product success. We are a small team that empowers you to own your projects and see the tangible effects of your efforts, enhancing both your professional growth and our company’s trajectory. Your path will be challenging but rewarding, perfect for those who thrive in fast-paced environments aiming for high standards.
Collaboration with exceptional talent
Work alongside other bright minds like you: at Eight Sleep exceptional intelligence and a passion for breakthroughs are the norms. Our team members are not only experts in their fields but also avid innovators who thrive in our dynamic, fast-paced environment.
Equitable compensation and continuous equity investment
We extend equity participation to every full-time team member, recognizing and rewarding your direct contributions to our success. This includes periodic equity refreshments based on performance, ensuring that as Eight Sleep grows and succeeds, so do you – perfectly aligning your achievements with the broader triumphs of the company.
Your own Pod - and other great benefits
- Every Eight Sleep employee receives the very product that defines our mission: a Pod of their own. If you join us you’ll get your own Pod, along with*:
- Full access to health, vision, and dental insurance for you and your dependents
- Supplemental life insurance
- Flexible PTO
- Commuter benefits to ease your daily commute
- Paid parental leave
*List of benefits may vary depending on your location
At Eight Sleep we continually celebrate the diverse community different individuals cultivate. As an equal opportunity employer, we stay true to our values by ensuring everyone feels they can flourish and grow. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.