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Machine Learning Engineering Manager

2 months ago

Vancouver, British Columbia, Canada Parallel Domain Full time
About the Role

We are seeking an experienced Engineering Manager to lead our Machine Learning team at Parallel Domain. As a leader, you will play a pivotal role in driving the commercialization of groundbreaking research in 3D reconstruction and generative AI.

Key Responsibilities
  • Technical Leadership: Provide technical guidance and mentorship to a team of machine learning engineers and researchers.
  • Strategic Planning: Define the technical roadmap for the team, aligning with broader company objectives and product vision.
  • Project Management: Manage project timelines, resource allocation, and deliverables to ensure successful execution.
  • Cross-Functional Collaboration: Partner with engineering, product, and research teams to drive product development and deployment.
  • Talent Acquisition and Retention: Attract top talent and build a high-performing team capable of tackling complex ML challenges.
  • Staying Ahead: Keep abreast of the latest advancements in machine learning, particularly in 3D reconstruction and generative AI, to inform the team's direction.
Requirements
  • Leadership Experience: 7+ years of industry ML experience and 2+ years of management experience, with a proven track record of leading and mentoring high-performing ML teams.
  • Technical Expertise: Deep understanding of machine learning principles, algorithms, and frameworks.
  • Strong Communication: Excellent written and verbal communication skills to articulate technical concepts clearly and concisely.
  • Strategic Mindset: Ability to translate business objectives into actionable technical goals and roadmaps.
  • Problem-Solving Skills: A knack for identifying and resolving complex technical challenges.
Desirable Qualifications
  • Hands-On Experience: Demonstrated experience in developing and deploying production-level machine learning models.
  • Research Background: Familiarity with academic research in 3D reconstruction, generative AI, or related fields.
  • Industry Knowledge: Understanding of the autonomous systems landscape and the potential applications of machine learning in this domain.
  • Publication Record: Publications in top-tier conferences or journals related to machine learning.