Remote Senior Applied AI Engineer

Summary

Join Omada Health as a Senior AI Engineer and lead the deployment of sophisticated AI models and applications, combining deep technical expertise with practical understanding of applying AI in impactful ways.

Requirements

• 5+ years of experience deploying AI models with demonstrated business impact
• Proven track record of designing, deploying, and managing end-to-end AI solutions, with a particular emphasis on Generative AI
• Deep Expertise in utilizing tools for Generative AI interaction (OpenAI, Bedrock, Huggingface TGI, Ollama, langchain, llamaindex)
• Expertise in machine learning tools (e.g., sklearn, PyTorch/TensorFlow, Hugging Face)
• General experience in cloud ML platforms (AWS, Azure, GCP), especially with their ML services (Sagemaker and Azure ML)
• Successful monitoring of model performance post-deployment, with an ability to link AI solutions to tangible business impacts
• Strong capability for cross-team collaboration, working seamlessly with stakeholders across functional areas to deploy AI solutions that meet broader business needs
• A natural problem-solver, comfortable with navigating ambiguity and making decisions in complex environments
• A lifelong learner, continuously seeking to stay updated on new technologies and methodologies in the fast-evolving AI landscape
• Familiarity with Agile methodologies, demonstrating effectiveness in a fast-paced, iterative development environment
• Interest in the intersection of healthcare and AI
• BA/BS in Computer Science or a related technical field or equivalent practical experience

Responsibilities

• Design and Development: Lead the creation of AI solutions specifically harnessing the power of LLMs
• Deployment and Impact: Work with industry-standard LLM APIs to inject cutting-edge AI functionalities into broader applications using your experience with cloud platforms like AWS and Azure
• Performance Monitoring: Create models that drive business outcomes and make iterative improvements based on data-driven insights. Ensure deployed models operate at peak efficiency, requiring a vigilant approach to performance monitoring and adjustment
• Agile Collaboration: Deploy models within an Agile development framework, showcasing flexibility, rapid iteration, and a commitment to constant improvement. Proactively collaborate within the Applied AI team and cross-functionally with other development teams, product and business stakeholders to iterate on ideas, solve problems, and achieve shared goals

Benefits

• Competitive salary with generous annual cash bonus
• Stock options
• Remote first work from home culture
• Flexible Time Off to help you rest, recharge, and connect with loved ones
• Generous parental leave
• Health, dental, and vision insurance (and above market employer contributions)
• 401k retirement savings plan
• Two giftable Omada enrollments per calendar year
• Lifestyle Spending Account (LSA)
• Mental Health Support Solutions