Lead Engineer - Machine Learning

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Job Overview

As a Lead Machine Learning Engineer, you will oversee the entire lifecycle of machine learning models. Your role involves collaborating with cross-functional teams, including data scientists, data engineers, software engineers, and DevOps specialists, to bridge the gap between experimental model development and reliable production systems. You will be responsible for automating ML pipelines, optimizing model training and serving, ensuring model governance, and maintaining the stability of deployed systems.

This position requires a blend of experience in software engineering, data engineering, and machine learning systems, along with a strong understanding of DevOps practices to enable faster experimentation, consistent performance, and scalable ML operations.

What You Will Do

• Work with Data Science Leadership and Stakeholders to understand business objectives, map scope of work, and lead junior colleagues in achieving technical deliverables
• Invest in strong relationships with colleagues and build a successful followership around a common goal
• Build and optimize ML pipelines for feature engineering, model training, and inference
• Develop low-latency, high-throughput model endpoints for distributed environments
• Maintain cloud infrastructure for ML workloads, including GPUs / TPUs, across platforms like GCP, AWS, or Azure
• Troubleshoot, debug, and validate ML systems for performance and reliability
• Write and maintain automated tests (unit and integration)
• Supports discussions with Data Engineers to work on data collection, storage, and retrieval processes. Collaborate with Data Governance to identify data issues and propose data cleansing or enhancement solutions.
• Drive continuous improvement efforts in enhancing performance and providing increased functionality, including developing processes for automation
• Foster an environment of acceptance and respect that strengthens relationships, and ensures authentic connections with colleagues, customers, and communities

Skills You Will Need

Ability to lead portions of pod iteratives; can clearly communicate priorities and play an effective technical support role for junior colleagues.

Maintaining timely communication with management and stakeholders on project progress, issues, and concerns. Developing effective communication plans tailored to audiences.

Go beyond just providing analytics and actively engage stakeholders to understand their challenges and goals. Ability to have a business-first viewpoint when developing solutions.

Expertise in managing cloud-based ML infrastructures (GCP, AWS, or Azure), coupled with DevOps practices, ensures seamless model deployment, scalability, and system reliability. This includes containerization, CI / CD pipelines, and infrastructure-as-code tools. Proficiency in programming languages such as Python, SQL, and Java.

Who You Are

What We Can Offer You

Join a team where work is as rewarding as it is fun! We offer a dynamic, inclusive environment with competitive pay and benefits. Enjoy comprehensive health and wellness coverage and a 401(k) match to invest in your future. Prioritize your well-being with paid time off and eight paid holidays. Grow your career with continuous learning and leadership development. Plus, build community by joining one of our Colleague Resource Groups and make a difference through our volunteer opportunities.