ML Platform Engineer

Twin Health 

At Twin Health, we empower people to reverse, prevent and improve chronic metabolic diseases. Twin Health invented The Whole Body Digital Twin™ , a dynamic representation of each individual’s unique metabolism, built from thousands of data points collected daily via non-invasive sensors and self-reported preferences. The Whole Body Digital Twin delivers a new standard of care, empowering physicians and patients to make personalized data-driven decisions. 

Working here  

Our team is passionate, talented, and driven by our purpose to improve the health and happiness of our members. Our culture empowers each Twin to do what’s needed to create impact for our members, partners, and our company, and enjoy their experience at work. Twin Health was awarded Innovator of the Year by Employer Health Innovation Roundtable (EHIR) (out of 358 companies), named to the 2021 CB Insights Digital Health 150, and recognized by Built In’s 2022 Best Places To Work Awards. Twin Health has the backing of leading venture capital funds including ICONIQ Growth, Sequoia, and Sofina, enabling us to scale services in the U.S. and globally and help solve the global chronic metabolic disease health crisis. We have recently announced broad and growing partnerships with premier employers, such as Blackstone and Berkshire Hathaway. We are building the company you always wished you worked for. Join us in revolutionizing healthcare and building the most impactful digital health company in the world!

Excited to join us and do your part in improving people’s health and happiness?

Twin Health 

At Twin Health, we empower people to reverse, prevent and improve chronic metabolic diseases. Twin Health invented The Whole Body Digital Twin™ , a dynamic representation of each individual’s unique metabolism, built from thousands of data points collected daily via non-invasive sensors and self-reported preferences. The Whole Body Digital Twin delivers a new standard of care, empowering physicians and patients to make personalized data-driven decisions. 

Working here  

Our team is passionate, talented, and driven by our purpose to improve the health and happiness of our members. Our culture empowers each Twin to do what’s needed to create impact for our members, partners, and our company, and enjoy their experience at work. Twin Health was awarded Innovator of the Year by Employer Health Innovation Roundtable (EHIR) (out of 358 companies), named to the 2021 CB Insights Digital Health 150, and recognized by Built In’s 2022 Best Places To Work Awards. Twin Health has the backing of leading venture capital funds including ICONIQ Growth, Sequoia, and Sofina, enabling us to scale services in the U.S. and globally and help solve the global chronic metabolic disease health crisis. We have recently announced broad and growing partnerships with premier employers, such as Blackstone and Berkshire Hathaway. We are building the company you always wished you worked for. Join us in revolutionizing healthcare and building the most impactful digital health company in the world!

Excited to join us and do your part in improving people’s health and happiness?

Opportunity:

Are you ready to be at the forefront of integrating machine learning with healthcare technology? We are seeking a dynamic and innovative Machine Learning Platform 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:

• Design, build, and maintain the infrastructure required to run machine learning workloads efficiently, including data pipelines, model training environments, and deployment platforms.
• Collaborate closely with data scientists to optimize workflows for model training, real-time inference, monitoring, and troubleshooting
• 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.

Qualifications:

• Strong background in data engineering principles, including experience with big data technologies (Spark, Hadoop) and database systems (SQL, NoSQL)
• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field with 3+ 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.