Twin Health
Healthcare & Life SciencesDirect Greenhouse career site

Senior AI Platform Engineer

Pay
$180,000 – $200,000 per year
Location
Remote (US)
Job type
Full-time
Level
Senior
Experience
5+ years
Education
Bachelor's degree
Listed
31 days ago

Skills & highlights for this role

  • Python
  • Docker
  • Kubernetes
  • microservices architecture
  • MLOps

Also useful

  • Java
  • Go
  • Spark
  • LLM/GenAI

Stated benefits & perks

  • Health
  • Dental
  • Vision
  • 401k match
  • Unlimited pto

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 twinhealth.com email address.
  • We will never ask you to complete a text interview or request financial details during the interview process.
Read the original posting

From Twin Health's careers page, first listed on Rolev.ai on October 10, 2026. Rolev.ai is not the employer.

How Rolev.ai helps with this application

Rolev.ai is a job search and application tool for US job seekers. For this Senior AI Platform Engineer role at Twin Health, it shows how your resume fits, tailors your resume to the posting, and prepares the application for you to review.

  • See how you fit

    Openings from employer career sites are ranked against your whole resume—and searchable inside Claude, ChatGPT, and Cursor via Rolev.ai MCP.

  • Tailor without inventing

    Every change to your resume is checked against your original. New experience goes in only with your yes—zero fabricated claims.

  • Draft the full kit

    Tailored and Full Match resumes, role-specific cover letters, and answers to employer screening questions are prepared in seconds.

  • 1-Click Extension Autofill

    The Chrome extension fills the employer's Greenhouse, Workday, Lever, or Ashby form in 1 click. You review it and press Submit.

Common questions

What is the salary for the Senior AI Platform Engineer role at Twin Health?

The Senior AI Platform Engineer posting at Twin Health states compensation of $180,000 – $200,000 per year. It is listed as a full-time position. Final pay may depend on location, experience, and interview evaluation on Twin Health's official career site.

Where is the Senior AI Platform Engineer job at Twin Health located?

Yes, this Senior AI Platform Engineer opening at Twin Health is listed as Remote (US). Always check Twin Health's application page for specific state eligibility or relocation policies.

What qualifications are required for Senior AI Platform Engineer at Twin Health?

For the Senior AI Platform Engineer role, Twin Health highlights 5+ years of relevant experience; a bachelor's degree; experience with Python, Docker, Kubernetes, microservices architecture, MLOps. Rolev.ai can score your existing resume against these requirements and show any skill gaps before you apply.

How do I apply for the Senior AI Platform Engineer position at Twin Health?

This listing links directly to Twin Health's Greenhouse application page. You can apply directly on Twin Health's site, or use Rolev.ai to check your resume fit, generate a zero-hallucination tailored resume and cover letter for this posting, and autofill the Greenhouse application form in 1 click with the Rolev.ai Chrome extension. You always review the form and press Submit yourself.