GrepJob
Xometry

Senior Principal, ML/AI

Xometry
Apply
about 2 months ago
Waltham, MA, USASenior / Staff+

Base Salary

$150k - $196k/yr

Responsibilities

  • Serve as the technical leader of multiple large, cross-functional ML/AI solutions.
  • Define and drive the 18-24-month ML/AI technical roadmap.
  • Influence partner roadmaps across engineering, product, operations, and business teams.
  • Proactively identify and remove roadblocks for teams and projects.
  • Mentor individuals and technical teams.
  • Act as a trusted subject-matter expert with strong cross-functional partnerships.
  • Identify areas of opportunity to drive revenue growth and efficiency.
  • Address problems adjacent to your sphere of immediate influence.
  • Stay ahead of industry developments in ML, AI, and manufacturing tech.
  • Scrutinize existing work to identify opportunities for growth and efficiency optimization.

Requirements

  • Master’s or PhD in Computer Science, Machine Learning, Applied Mathematics, Electrical Engineering or related field.
  • 12+ years of professional experience in machine learning, AI, or data science roles.
  • Demonstrated experience architecting and delivering large scale ML/AI solutions.
  • Deep expertise in machine learning frameworks, data engineering, and scalable production systems.
  • Experience in 3D modeling, computer vision, and generative models is highly desirable.
  • Strong exposure to generative AI techniques and translating them into business use-cases.
  • Excellent cross-functional collaboration skills.
  • Proven ability to influence without direct authority.
  • Strong communication and presentation skills.
  • Track record of identifying and delivering measurable business impact via ML/AI.
  • Experience mentoring and guiding teams of ML engineers and data scientists.

Benefits

  • Competitive benefits package including 401(k) match.
  • Medical, dental, and vision insurance.
  • Life and disability insurance.
  • Generous paid time off including vacation, sick leave, and holidays.
  • Maternity and bonding leave.
  • Employee Assistance Program and other wellbeing resources.

Tech Stack

AWSAzureGoogle Cloud PlatformPyTorchTensorFlow

Categories

AI & MLData Science