Head of Machine Learning, Parallel Domain

Responsibilities:

Lead and inspire: Provide technical leadership and mentorship to a team of machine learning engineers and researchers.
Drive innovation: Foster a culture of innovation and excellence within the team, encouraging exploration of new ideas and techniques.
Set direction: Define the technical roadmap for the team, aligning with broader company objectives and product vision.
Ensure delivery: Manage project timelines, resource allocation, and deliverables to ensure successful execution.
Collaborate: Partner with cross-functional teams (engineering, product, research) to drive product development and deployment.
Recruit and retain: Attract top talent and build a high-performing team capable of tackling complex ML challenges.
Stay ahead: Keep abreast of the latest advancements in machine learning, particularly in 3D reconstruction and generative AI, to inform the team’s direction.

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.

What will help you stand out:

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.