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. 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. ### * + Provide technical leadership and mentorship to a team of machine learning engineers and researchers. + Foster a culture of innovation and excellence within the team, encouraging exploration of new ideas and techniques. + Define the technical roadmap for the team, aligning with broader company objectives and product vision. + Manage project timelines, resource allocation, and deliverables to ensure successful execution. + Partner with cross-functional teams (engineering, product, research) to drive product development and deployment. + Attract top talent and build a high-performing team capable of tackling complex ML challenges. + Keep abreast of the latest advancements in machine learning, particularly in 3D reconstruction and generative AI, to inform the team's direction. ### * + 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. + Deep understanding of machine learning principles, algorithms, and frameworks. + Excellent written and verbal communication skills to articulate technical concepts clearly and concisely. + Ability to translate business objectives into actionable technical goals and roadmaps. + A knack for identifying and resolving complex technical challenges. ### * + Demonstrated experience in developing and deploying production-level machine learning models. + Familiarity with academic research in 3D reconstruction, generative AI, or related fields. + Understanding of the autonomous systems landscape and the potential applications of machine learning in this domain. + Publications in top-tier conferences or journals related to machine learning. $180,000 - $220,000 a year A base pay range of $180,000 - $220,000, depending on your skills, qualifications, experience, and location. The chance to contribute to the advancement of autonomous systems and AI. A dynamic and supportive work environment where your ideas are valued. Opportunities to learn and develop your skills in a cutting-edge field. 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.