Lead Machine Learning Engineer

As a Lead Machine Learning Engineer, you will lead the design of technical solutions, shape the trajectory of machine learning engineering initiatives, and ensure impactful outcomes for the broader objectives of the company. You will contribute to the direction of machine learning (ML) initiatives, aligning technical solutions with broader organizational goals. You will play a pivotal role in program inception, shaping the development of new systems and applications from idea to reality, overseeing technical feasibility and resource allocation.

What You Will Do

You will lead the development of scalable and maintainable ML systems, ensuring optimal performance and efficiency. You will translate client needs into technically feasible and impactful ML applications, driving solution design and deployment within complex, high-stakes projects. You will own the development and maintenance of ML applications, including ML pipelines, model training and deployment, and monitoring and evaluation.

Why It Might Be a Fit

You will be a key influencer, championing Responsible AI and effective ways of working within the team, advocating for a culture of excellence and continuous improvement. You will navigate intricate technical challenges with proficiency, employing your specialized knowledge to troubleshoot issues and guide the team towards successful resolutions.

Requirements

• Experience in developing a technical vision and strategy
• Design and execute cross-functional requirements based on business priorities
• Experience in writing clean, maintainable and testable code using Python
• Experience with distributed systems and scalable architectures to handle large-scale ML applications
• Experience with building, deploying and maintaining ML systems using relevant ML techniques and platforms
• Experience in machine learning engineering and data science
• Experience with designing and operating the infrastructure required to run different types of ML training and serving workloads
• Hands-on experience with on-premise and cloud services for building and deploying ML pipelines

Benefits

• Annual salary range of $172,000—$276,000 USD
• Benefits (see details on website)
• Opportunities for career growth and development
• Inclusive and dynamic work environment
• Commitment to fairness and responsible AI
• Accommodations for qualified applicants with disabilities or sincerely held religious beliefs
• Paid time off (PTO)
• Retirement plan
• Learning and development programs
• Mentorship and guidance
• Collaborative environment
• Opportunities for growth and knowledge sharing