Staff MLOps Engineer - HealthTech Startup

About the Role

We're hiring a Staff MLOps Engineer to join our innovative HealthTech startup. This fully remote position allows you to work from anywhere while contributing to a mission that helps individuals lead healthier lives. As a Staff MLOps Engineer, you'll be at the forefront of machine learning, infrastructure, and production systems, playing a crucial role in building solutions that enhance the velocity of machine learning product delivery.

What You'll Do

• Design and implement MLOps solutions that drive the rapid deployment of machine learning products.
• Build and optimize feature stores, ensuring efficient data handling and accessibility for ML models.
• Test and integrate new MLOps tools to enhance our infrastructure.
• Optimize GPU usage for real-time inferencing and overall ML lifecycle management.
• Collaborate with cross-functional teams to ensure seamless integration of ML solutions into existing systems.

Requirements

• 5+ years of experience in building solutions that enhance ML product build velocity.
• Proficiency in MLOps, ML infrastructure, and real-time inferencing.
• Experience with GPU optimization and feature store builds.
• Familiarity with cloud tools, preferably Google Cloud Platform (GCP), or a willingness to learn.
• Strong problem-solving skills and the ability to work autonomously.

Nice to Have

• Experience in the HealthTech industry.
• Knowledge of other cloud platforms like AWS or Azure.
• Familiarity with CI/CD practices for ML workflows.

What We Offer

• Competitive base salary ranging from $220,000 to $270,000.
• Equity options to share in the company's success.
• Fully remote work environment with flexible hours.
• Opportunities for professional growth and development.
• Supportive team culture focused on innovation and collaboration.