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Engineering Manager, Machine Learning

extra holidays - extra parental leave

Remote:

Full Remote

Contract:

Full time

Experience:

Senior (5-10 years)

Work from:

California (USA), United States

Offer summary

Qualifications:

7+ years industry ML experience, 2+ years management experience, Deep understanding of ML principles.

Key responsabilities:

Lead, mentor machine learning team
Define technical roadmap and goals
Manage project timelines and resources
Collaborate with cross-functional teams

Parallel Domain Scaleup https://www.paralleldomain.com/

51 - 200 Employees

See more Parallel Domain offers

Job description

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.

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.

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.