Staff Software Engineer

3 days ago


San Francisco California, United States Reveal Health Tech Full time
About the Role

We are seeking a highly skilled and experienced Staff Software Engineer - Lead to join our team at Reveal Health Tech. As a key member of our engineering team, you will be responsible for overseeing the full software and model development lifecycle, working closely with various business and technology stakeholders.

Key Responsibilities
  • Develop Architectures: Design and implement scalable architectures for deploying and maintaining ML and AI solutions.
  • Build Infrastructure: Create and manage infrastructure components and CI/CD pipelines and extend existing ML services on AWS.
  • Evaluate Techniques: Assess retrieval methods, language models, and generative AI techniques with a focus on practical solutions.
  • Ensure Quality: Implement automated testing and monitoring to maintain AI system accuracy and reliability.
  • Collaborate Cross-Functionally: Collaborate with data scientists, software engineers, and other cross-functional teams including our engineering team in India, facilitate data-driven decision making, and drive innovative solutions.
  • Optimize Solutions: Partner with the MLOps team to enhance AI/ML solutions for performance and scalability.
  • Mentor Team: Guide and coach team members on engineering best practices.
  • Drive Innovation: Stay current with AI advancements to foster innovation.
  • Documentation: Document and communicate methodologies, algorithms, findings, and recommendations to technical and non-technical stakeholders.
Desired Qualifications
  • Education: Bachelor's or Master's degree in Computer Science, AI, Data Science, or a related field.
  • Technical Skills: Proficiency in Python and experience with machine learning models at scale, extensive knowledge of AI/ML technologies, including libraries like scikit-learn, PyTorch, and Transformers.
  • Experience: Hands-on experience with Docker, AWS (ECS, Lambdas, API Gateway), and ML/Gen AI services (AWS Bedrock, SageMaker), familiarity with CI/CD pipelines (Jenkins, GitHub Actions) and version control.
  • Knowledge: Strong understanding of retrieval-augmented generation (RAG), chains, routing, and vector databases, knowledge of MLOps practices, model development, deployment, and performance monitoring, including LLM use cases.
  • Leadership: Proven ability to lead and scale projects from prototype to production with hands-on experience working on user-facing products.
  • Additional Skills: Experience with life sciences or healthcare data is a plus.


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