Head of Machine Learning, Parallel Domain
CA$180-220k
Synthetic data for computer vision and perception
Open for applications
Synthetic data for computer vision and perception
21-100 employees
Open for applications
CA$180-220k
21-100 employees
Company mission
To speed up the transition to autonomy by leveraging synthetic data.
Role
Who you are
- 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
Desirable
- 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
What the job involves
- 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
- 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
Our take
Autonomous vehicles are fast making the leap from science fiction to reality. However, there are huge safety implications that need to be addressed. Parallel Domain has developed software for training autonomous vehicles in a virtual setting, reducing the risks associated with real-world testing and giving vehicle manufacturers the ability to identify problems and put them right, before the vehicle ever hits the road.
Parallel Domain, which was founded in 2017, leverages synthetic data to train and test the vision and perception systems for AVs. Clients can customise training environments with parameters such as weather, lighting, and distribution of agents, allowing them to model specific situations including rare ones that would be unlikely to occur in real-world training, resulting in AIs that behave better and more safely in novel situations.
Parallel Domain has seen significant investment that will fuel operational expansion, and allow it to increase business reach. With the value of synthetic data quickly becoming apparent, the company is positioned well to benefit from those wishing to train their autonomous vehicle AIs faster and more efficiently.
Steph
Company Specialist at Welcome to the Jungle
Insights
62% employee growth in 12 months
Company
Funding (last 2 of 3 rounds)
Nov 2022
$30m
SERIES B
Dec 2020
$11m
SERIES A
Total funding: $43.9m
Company benefits
- Flexibility to work from our office in the San Francisco Bay Area or your home office
- Competitive compensation
- Employer-paid supplemental medical, mental health, dental, and vision benefits
- 401(k)
- Paid vacation and sick time, winter shutdown, and 11 stat holidays each year
- Paid parental leave
- New hire equipment + accessories budget to optimize your setup
- $1,500 annual learning and development allowance
Company values
- Mission + Vision
- Driven by Diversity
- Biased for Action and Impact
- Never Stop Pioneering
- Extreme Ownership
- Thriving Together
Company HQ
Financial District, San Francisco, CA
Articles
Leadership
Kevin McNamara
(CEO)They studied Computer Science at Harvard before working for almost 3 years as a Microsoft Technical Artist. They left their Procedural Content Lead at Apple in July 2017 to found Parallel Domain, where they have served as CEO since.
Salary benchmarks
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