Senior Machine Learning Platform Engineer

Summary

Join Twin Health, a leading digital health company revolutionizing healthcare, as a Machine Learning Platform Engineer. You will play a key role in developing and enhancing our cutting-edge machine learning platform. This position requires expertise in building robust ML systems, collaborating with data scientists, and ensuring operational excellence. The ideal candidate is self-driven, versatile, and a collaborative team player with strong communication and leadership skills. This is a remote opportunity for US-based individuals. Twin Health offers a competitive compensation package and comprehensive benefits.

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
• 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
• This remote opportunity is available to US based persons. Applicants must be authorized to work for any employer in the U.S

Responsibilities

• Architect, design, and build robust and efficient ML systems for a production environment, focusing on backend distributed systems, microservices, and ensuring system accuracy
• Collaborate closely with data scientists 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
• Additional duties as assigned

Preferred Qualifications

• Experience in the implementation of applications using LLM’s and GenAI is a huge plus
• Experience with database technologies (e.g., SQL, NoSQL) and big data processing frameworks (e.g., Hadoop, Spark) is a plus

Benefits

• A competitive compensation package in line with leading technology companies
• 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
• As a remote friendly company we are committed to providing opportunities for all who join to further build relationships, increase cross-functional collaboration, and celebrate our accomplishments