Senior Machine Learning Engineer I

Summary

Join our AI Foundations Team as a Senior Machine Learning Engineer I and be a core contributor to building our core AI/ML infrastructure. This role involves hands-on development and deployment of models as part of our AI Platform. You will collaborate with various teams to create and refine solutions for our AI strategy. The ideal candidate is passionate about applying technology to create impactful solutions in the pharmaceutical industry. The position is based in NYC or Boston, with remote options for specific locations. In-person collaboration is valued, requiring travel for those outside the NYC metro area. Compensation includes a competitive salary, equity, generous perks, hybrid flexibility, and comprehensive benefits.

Requirements

• 5+ years of experience in Biotech/Pharma software development, excelling in fast-paced, ambiguous environments
• Proven track record of launching and scaling innovative 0-1 products
• Master’s degree or higher in Computer Science, Engineering, AI, Machine Learning, or equivalent experience
• Expertise in AI/ML frameworks (TensorFlow, PyTorch, Scikit-learn, LangChain, RAGAs), including hands-on model building and fine-tuning
• Strong collaboration & communication skills, able to engage diverse stakeholders and translate complex technical concepts into clear insights and solutions
• Familiarity with cloud infrastructure (AWS, Azure, GCP) and modern software deployment (containerization, CI/CD)

Responsibilities

• Collaborate cross functionally with product managers and domain experts to design, build, and refine ML-driven solutions for drug development
• Ensure the scalability, security, and performance of AI/ML systems
• Stay ahead of AI and LLM advancements, advocating for their adoption and providing expert guidance across teams

Benefits

• Equity
• Generous perks
• Hybrid flexibility
• Comprehensive benefits