Lead ML Engineer (Manager IC)

Salary: $181000 - 227000 per year Requirements: Bachelors degree At least 6 years of experience designing and building data-intensive solutions with distributed computing, excluding internship experience At least 4 years of programming experience with Python, Scala, or Java At least 2 years of experience building, scaling, and optimizing machine learning systems Masters or doctoral degree in computer science, electrical engineering, mathematics, or a related discipline 7+ years of experience designing, developing, delivering, and supporting AI services at scale 3+ years of experience creating production-grade data pipelines that support ML models 3+ years of hands-on experience with an industry-recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow 3+ years of experience developing AI and ML algorithms or technologies with Python 2+ years of experience with Retrieval Augmented Generation (RAG) 2+ years of experience with data collection and preparation for ML models 2+ years of people leadership experience 1+ years of experience leading teams that build ML solutions using best practices, design patterns, and automation Experience designing, implementing, and scaling complex ML data pipelines and assessing their performance Experience using interactive AI tools to boost productivity beyond basic code completion Experience deploying scalable AI/ML solutions in a public cloud such as AWS Bedrock, Google Cloud, or Azure Responsibilities: Partner with engineers, data scientists, product managers, and designers to deliver AI-powered products that improve how our associates work and create value for our customers Design, build, test, deploy, and support AI software components using machine learning models, including model evaluation, experimentation, large language model inference, similarity search, guardrails, governance, observability, and agentic AI Fine-tune, develop, and assess machine learning and foundation models Collaborate within a cross-functional Agile team to create and enhance software that uses advanced AI and ML capabilities Contribute technical vision and thought leadership to the long-term roadmap for our AI systems Work across a broad stack of open source and SaaS AI technologies Use your understanding of ML modeling techniques and challenges to guide ML infrastructure decisions Retrain, maintain, and monitor models in production Build optimized data pipelines that feed ML models Ensure code is managed carefully to reduce vulnerabilities, models are governed from a risk standpoint, and ML practices align with Responsible and Explainable AI Technologies: AI AWS Cloud Support Java Machine Learning PyTorch Python Scala Spark TensorFlow Azure Hardware More: We are Cobalt Streamworks, and we are transforming banking through responsible, reliable AI-powered systems and world-class applied science and engineering. Our Risk Tech organization builds data-driven tools that use machine learning to prevent risk and detect issues before they affect our customers, our business, or our communities. In this role, you will work with our GRC team and cross-company partners to deliver proprietary, state-of-the-art AI solutions for risk management. The position is based in Cambridge, MA, McLean, VA, or Richmond, VA, and is eligible for performance-based incentive compensation along with a comprehensive, competitive, and inclusive benefits package that supports overall well-being. last updated 28 week of 2026