Lead Machine Learning Engineer - Infrastructure
Layer Health6 months ago
Boston, MA, USA or New York, NY, USAMid Level / Senior
H1B Sponsor
Base Salary
$210k - $260k/yr
Responsibilities
- Architect efficient, secure, reliable, and performant ML pipelines and infrastructure.
- Design, develop, and maintain scalable/data-centric backend infrastructure for the product.
- Translate state-of-the-art LLM research into production to deliver customer value.
- Work with complex, large-scale clinical data in a cloud-based environment.
- Develop methods to ensure high-quality results for production models.
- Collaborate with product, engineering, and research teams to enhance products.
- Build scalable infrastructure for model development and deployment pipelines.
- Ensure robust monitoring, logging, and error handling for deployed systems.
- Stay updated on the latest advancements in machine learning and AI.
- Cultivate a robust ML engineering and product culture.
Requirements
- 3+ years of experience in building ML-native backend infrastructure.
- 5-7+ years of experience in backend and cloud platform software development.
- Fluency in one or more backend programming languages, preferably Python.
- Familiarity with modern ML/LLM techniques and frameworks.
- Bachelor’s degree in Computer Science, Engineering, Mathematics, or related field.
- Experience in end-to-end ML systems development.
- Experience developing and maintaining scalable enterprise software products.
- Strong problem-solving skills and attention to detail.
- Excellent communication skills for articulating technical concepts.
- An excited and adaptable team player eager to disrupt healthcare with AI/ML.