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.
Top Skills
What We Do
Training and testing autonomous systems in the real world is a slow, expensive and cumbersome process. Parallel Domain is the smartest way to prepare both your machines and human operators for the real world, while minimizing the time and miles spent there. Connect to the Parallel Domain API and tap into the power of synthetic data to accelerate your autonomous system development.
Parallel Domain works with perception, machine learning, data operations, and simulation teams at autonomous systems companies, from autonomous vehicles to delivery drones. Our platform generates synthetic labeled data sets, simulation worlds, and controllable sensor feeds so they can develop, train, and test their algorithms safely before putting these systems into the real word.
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