About the role: We're seeking an experienced Engineering Manager to lead our Machine Learning team. You'll play a pivotal role in driving the commercialization of groundbreaking research in 3D reconstruction and generative AI. As a leader, you'll guide a talented global team of engineers to develop cutting-edge machine learning algorithms that will shape the future of our products and services, and collaborate closely with other technical leaders to ensure alignment with company goals.
What you'll do:
- 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.
What you'll bring:
- 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.
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