高级MLOps工程师
Senior MLOps Engineer
Twin Health
在Twin Health,我们通过一种新的护理标准,帮助人们改善和预防慢性代谢性疾病,如2型糖尿病和肥胖症。Twin Health是唯一一家将AI数字孪生技术专门应用于代谢健康的公司。
我们首先为每个人的代谢建立一个动态模型——利用CGM、智能手表和饮食记录中的数千个数据点——来描绘他们通往更好健康的个人路径。在专属的临床护理团队的指导下,我们的会员已经将A1C降低到糖尿病范围以下,实现了持久的体重减轻,并减少了甚至消除了药物,同时过上了更健康、更幸福的生活。
在这里工作
Twin Health的团队充满热情、才华横溢,并因共同的目标而团结一致:改善会员的代谢健康和幸福感。我们相信,每个Twin都能为我们的会员、客户以及彼此带来有意义的影响,同时享受支持性、协作性的工作环境。
Twin不仅因其创新而受到认可,还因其文化获得赞誉,包括:雇主健康创新圆桌会议(EHIR)颁发的年度创新者奖、入选CB Insights的数字健康150强,以及被《新闻周刊》评为“最受欢迎的工作场所”之一。
在最近的融资中,Twin已筹集超过1亿美元资金,包括2025年由Maj Invest领投的5300万美元E轮融资,以及2023年由Temasek领投的5000万美元投资。Twin正在美国和全球迅速扩展。我们得到了ICONIQ Growth、Sequoia、Sofina、Temasek和Peak XV等领先风险投资公司的支持,正在打造世界上最具影响力的数字健康公司。
加入我们,重新定义代谢健康的护理标准。
机会:
你是否准备好站在机器学习与医疗科技融合的最前沿?我们正在寻找一位充满活力且富有创新精神的ML Ops工程师。理想的候选人应具备自我驱动力,能够处理多个项目,并且是优秀的团队合作者。你将在开发我们先进的机器学习平台和提升现有医疗解决方案方面发挥关键作用。我们重视那些擅长处理复杂系统,并具备出色沟通和领导能力的人。
职责:
- 设计、构建适用于生产环境的稳健高效的AI/ML系统,专注于后端分布式系统、微服务,并确保系统的准确性。
- 领导跨职能团队进行...
查看英文原文
Twin Health
At Twin Health, we empower people to improve and prevent chronic metabolic diseases, like type 2 diabetes and obesity, with a new standard of care. Twin Health is the only company applying AI Digital Twin technology exclusively toward metabolic health.
We start by building a dynamic model of each person’s metabolism — drawing on thousands of data points from CGMs, smartwatches, and meal logs — that maps their personal path to better health. Guided by a dedicated clinical care team, our members have lowered their A1C below the diabetes range, achieved lasting weight loss, and reduced or even eliminated medications, all while living healthier, happier lives.
Working here
Our team at Twin Health is passionate, talented, and united by a shared purpose: to improve the metabolic health and happiness of our members. We believe in empowering every Twin to make a meaningful impact for our members, our clients, and each other, while enjoying a supportive, collaborative work environment.
Twin has been recognized not only for our innovation but also for our culture, including: Innovator of the Year by the Employer Health Innovation Roundtable (EHIR), selected to CB Insights’ Digital Health 150, and named one of Newsweek’s Top Most Loved Workplace® .
With more than $100 million raised in recent funding, including a $53 million Series E round in 2025 led by Maj Invest, and a $50 million investment in 2023 led by Temasek, Twin is scaling rapidly across the U.S. and globally. Backed by leading venture firms like ICONIQ Growth, Sequoia, Sofina, Temasek, and Peak XV, we are building the most impactful digital health company in the world.
Join us as we reinvent the standard of care in metabolic health.
Opportunity:
Are you ready to be at the forefront of integrating machine learning with healthcare technology? We are seeking a dynamic and innovative ML Ops Engineer. The ideal candidate is self-driven, versatile in handling multiple projects, and a collaborative team player. You will be instrumental in developing our cutting-edge machine learning platform and enhancing our existing healthcare solutions. We value individuals who are adept at working with complex systems and possess exceptional communication and leadership skills.
Responsibilities:
- Architect, design, and build robust and efficient AI/ML systems for a production environment, focusing on backend distributed systems, microservices, and ensuring system accuracy.
- Lead cross-functional initiatives end-to-end (scoping, timelines, dependencies), driving alignment across Data, Infra and ML Engineering.
- Collaborate closely with AI/ML engineers to optimize workflows for model training, real-time inference, monitoring, and troubleshooting
- Be a subject matter expert on ML infrastructure, providing guidance to both internal teams and external stakeholders.
- Ensuring operational excellence and reliability of ML systems. Define and enforce SLAs around system performance, including latency, throughput, and resource utilization.
- Develop tools for effective model management, continuous monitoring, and enhancing the efficiency and effectiveness of the entire ML lifecycle.
- Actively engage in mentorship and knowledge sharing to promote a culture of continuous learning and improvement within the team.
Qualifications:
- Bachelor's or Master's degree in Computer Science, Engineering, or a related field with 5+ years of industry experience
- Familiarity with architectural frameworks of large, distributed, and high-scale ML applications. Experience in the implementation of applications using LLM’s and GenAI is a huge plus.
- Solid understanding of MLOps, data structures, and software design principles.
- Proficiency in programming with Python and experience in other languages like Java or Go.
- Strong knowledge in deploying scalable machine learning models, including experience with Docker, Kubernetes, and microservices architecture.
- Experience with database technologies (e.g., SQL, NoSQL) and big data processing frameworks (e.g., Spark) is a plus
Benefits
The compensation for this position is $180,000 - $200,000.
Twin has an ambitious vision to empower people to live healthier and happier lives, and to achieve this purpose, we need the very best people to enhance our cutting-edge technology and medical science, deliver the best possible care, and turn our passion into value for our members, partners and investors. We are committed to delivering an outstanding culture and experience for every Twin employee through a company based on the values of passion, talent, and trust. We offer comprehensive benefits and perks in line with these principles, as well as a high level of flexibility for every Twin
- A competitive compensation package in line with leading technology companies
- A remote and accomplished global team
- Opportunity for equity participation
- Unlimited vacation with manager approval
- 16 weeks of 100% paid parental leave for delivering parents; 8 weeks of 100% paid parental leave for non-delivering parents
- 100% Employer sponsored healthcare, dental, and vision for you, and 80% coverage for your family; Health Savings Account and Flexible Spending Account options
- 401k retirement savings plan
We have been made aware of fraudulent interview requests being sent using the Twin Health's name. All communications will come from official Twin Health channels and a email address. We will never ask you to complete a text interview or request financial details during the interview process.
Originally posted on Himalayas