Senior Machine Learning Engineer

About the job

ML Ops Engineer

Remote, USA

$200,000 salary

Responsibilities:

ML Infrastructure & System Design

• Architecture: Design and build robust, efficient AI/ML systems for production environments, focusing on backend distributed systems and microservices.
• System Reliability: Ensure operational excellence and reliability of ML systems. Define and enforce SLAs around performance, latency, throughput, and resource utilization.
• Cross-functional Leadership: Lead end-to-end initiatives across Data, Infrastructure, and ML Engineering teams, managing scoping, timelines, and dependencies.

ML Operations & Workflow Optimization

• Collaboration: Work closely with AI/ML engineers to optimize workflows for model training, real-time inference, monitoring, and troubleshooting.
• Model Management: Develop tools for effective model management, continuous monitoring, and enhancing efficiency throughout the ML lifecycle.
• Subject Matter Expertise: Serve as ML infrastructure expert, providing guidance to internal teams and external stakeholders.

Team Development & Knowledge Sharing

• Mentorship: Actively engage in mentoring team members and promoting a culture of continuous learning and improvement.

Requirements:

• Bachelor's or Master's degree in Computer Science, Engineering, or related field with 5+ years of industry experience.
• Strong familiarity with architectural frameworks for large-scale, distributed ML applications. Experience with LLMs and GenAI is a huge plus.
• Solid understanding of MLOps, data structures, and software design principles.
• Proficiency in Python and experience with languages like Java or Go.
• Strong knowledge deploying scalable machine learning models using Docker, Kubernetes, and microservices architecture.
• Experience with database technologies (SQL, NoSQL) and big data processing frameworks (e.g., Spark) is a plus.

Why apply:

• Opportunity to apply AI technology toward revolutionizing chronic metabolic disease prevention and care in digital health
• Comprehensive healthcare benefits: 100% employer-sponsored medical, dental, and vision (80% family coverage)
• Unlimited PTO with manager approval
• Generous parental leave: 16 weeks paid for delivering parents, 8 weeks for non-delivering parents
• 401k retirement savings plan
• HSA and FSA options available
• Equity participation opportunity
• Remote work with accomplished global team

Remote, USA

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