Senior AI Platform Engineer

Twin Health
United States
Workplace: RemoteFull timeUSD 180,000 - 200,000 annuallyFunction: DevOps, Cloud & InfrastructureExperience: 5+ yearsEducation: bachelorsSkills: ["Leadership","Communication","Mentoring","Collaboration","Problem-solving"]

Senior ML/Ops-focused engineer responsible for architecting and building production AI/ML systems, leading cross-functional initiatives across Data, Infra, and ML Engineering; optimize model training, real-time inference, and monitoring, while ensuring reliability, SLAs, and scale in a distributed backend environment.

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FursaFursa
Twin Health
Twin Health
8 months ago

Senior AI Platform Engineer

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Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 4 hours agoStatus: Live

Job Summary

Senior ML/Ops-focused engineer responsible for architecting and building production AI/ML systems, leading cross-functional initiatives across Data, Infra, and ML Engineering; optimize model training, real-time inference, and monitoring, while ensuring reliability, SLAs, and scale in a distributed backend environment.
Location: United States
Workplace: Remote
Employment Type: Full time
Job Function: DevOps, Cloud & Infrastructure
Seniority: Sr. Manager level

Key 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.

Pay and Benefits

Salary: USD 180,000 - 200,000 annually
Equity and Bonus:Equity
Perks:Remote WorkEquityPaid LeaveHealth InsuranceParental Leave401kVisionDental

Key Requirements

  • •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:5+ yearsHealthcareAIDigital health
Education:Bachelor's
Skills:LeadershipCommunicationMentoringCollaborationProblem-solving
Languages:English
Tech Stack:PythonJavaGoDockerKubernetesMicroservicesSQLNoSQLSparkLLMsGenAI

Company Brief

Twin Health
Provides an AI-driven metabolic health platform that creates a personalized 'digital twin' to help prevent, manage, and reverse chronic metabolic conditions like diabetes through continuous data, coaching, and clinical care.
Industry: HealthTech
Company Size: Large (251 to 1,000 employees)
Growth: Scaleup
Headquarters: San Francisco, United States
Founded: 2015
WebsiteLinkedIn