Head of ML
$275k - $400k • Remote • San Francisco • FullTime
Posted 4mo ago
Job Location
San Francisco
Tech Stack
Remote Work Policy
Fully remote
Employment Type
FullTime
Categories
Machine Learning Engineer
About the job
Mach9 is building AI to transform dense LiDAR and image data into design-grade CAD deliverables for civil engineering and surveying. We are seeking a Head of Machine Learning to lead the organization responsible for developing automated products from our extensive dataset. This is a hands-on leadership role where you will define the technical strategy, mentor a team of ML engineers and researchers, and oversee the entire process from research to product delivery. This position is ideal for experienced engineers, team leads, and managers passionate about advancing 3D computer vision and perception, with the opportunity to tackle unique and challenging problems.
Responsibilities
- Define and drive the vision for leveraging data advantages to build superior automation products in surveying and design.
- Translate the vision into a technical roadmap, execute effectively, and advance product capabilities by identifying key challenges and suitable models for deployment.
- Build and scale the ML team through hiring, onboarding, structuring, and managing the balance between research and engineering.
- Mentor ML engineers and researchers, providing technical guidance, career development, and overall team uplift.
- Maintain technical hands-on involvement by reviewing designs, code, and architecture to stay connected with the team and technical challenges.
- Collaborate with product and engineering leadership to align research investments with product strategy and customer needs.
Requirements
- Experience leading and growing teams, including hiring and mentoring ML engineers and researchers.
- 5+ years of experience in machine learning with a proven track record of shipping ML models or systems to production.
- Strong technical depth in machine learning and computer vision, with the ability to set technical direction and gain team trust.
- Capability to develop and execute technical roadmaps.
- Excellent communication skills, enabling effective collaboration across research and engineering functions.
- Proficiency in Python and PyTorch, with the ability to engage deeply with technical work.