Manager of Machine Learning

Overview

The Machine Learning Manager is a hands-on technical leader and people manager responsible for designing, building, deploying, and scaling production-grade machine learning systems, with a strong emphasis on computer vision, deep learning, and large language models (LLMs). This role leads a team of machine learning engineers while remaining actively involved in architecture decisions, model development, ML Ops, and critical code paths.

• Lead the end-to-end machine learning lifecycle.
• Own and evolve ML Ops architecture.
• Contribute to design reviews, code reviews, prototyping, and implementation.
• Architect and deploy computer vision models and LLM-based systems.
• Establish and track model performance, reliability, scalability, and ethical AI metrics.
• Lead project planning, feasibility analysis, and technical scoping.
• Identify technical risks and develop mitigation plans.
• Maintain and design software primarily in Python.
• Ensure strong testing discipline.
• Apply and mentor on software design patterns and debugging strategies.
• Collaborate cross-functionally to align priorities.
• Write and present technical and executive-level status updates.
• Oversee software and model releases.

• Artificial Intelligence (AI)
• Machine Learning & Deep Learning
• Computer Vision
• Large Language Models (LLMs)
• Data Modeling & Data Science
• Predictive Analytics
• ML Ops & Dev Ops
• Strategic Planning & Execution
• Technical Project Management
• Ethical AI & Model Governance

• Directly manage machine learning engineers.
• Conduct regular 1:1 meetings.
• Identify and remove blockers.
• Participate in hiring decisions.
• Partner with senior leadership and HR on team growth planning.
• Foster a culture of psychological safety, transparency, and continuous learning.

• Bachelor's degree in Computer Science, Engineering, Data Science, or a related field (Master's preferred).
• 7+ years of professional experience in machine learning or related engineering roles.
• 1-3+ years of people leadership experience.
• Hands-on experience with:
• Computer vision frameworks (e.g., PyTorch, Tensor Flow, OpenCV).
• LLMs and modern NLP systems.
• Proficiency in Python and experience with production-grade ML systems.
• Ability to define, estimate, and deliver complex technical projects.
• Excellent communication skills.
• Strong collaboration skills and a team-first mindset.

• Base Salary Range: $170,000 - $190,000 per year
• Bonus Eligibility:
  Yes
• Benefits:
  Medical, Dental, Vision, 401K, HSA, Life, Disability, Flexible Time Off, Parental Leave, Tuition Reimbursement, Employee Referral Bonus

Location:

United States | Remote