Who we are: At Parallel Domain, we're on a mission to accelerate the safe
development of autonomous systems that have the potential to drastically improve
the quality of life for billions of people. Our synthetic data platform empowers
engineers and researchers to create the next generation of AI-powered software
for self-driving cars, drones, and other advanced technologies. We're a team of
passionate innovators who thrive on solving complex problems and pushing the
boundaries of what's possible.
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.
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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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$180,000 - $220,000 a year
Competitive compensation: A base pay range of $180,000 - $220,000, depending on
your skills, qualifications, experience, and location.
Impactful work: The chance to contribute to the advancement of autonomous
systems and AI.
Collaborative culture: A dynamic and supportive work environment where your
ideas are valued.
Professional growth: Opportunities to learn and develop your skills in a
cutting-edge field.
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Join us! If you're passionate about machine learning, 3D reconstruction,
generative AI, and the future of autonomous systems, we'd love to hear from you.
Apply today and help us revolutionize the world of AI! This position is
available in the San Francisco Bay Area, Vancouver, and Karlsruhe DE.
