Full-Time
Head of Machine Learning
Confirmed live in the last 24 hours
Parallel Domain
11-50 employees
Synthetic data platform for autonomous systems
Compensation Overview
$180k - $220kAnnually
Senior, Expert
Remote in Canada
- 7+ years of industry ML experience
- 2+ years of management experience
- 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
- Ability to translate business objectives into actionable technical goals and roadmaps
- A knack for identifying and resolving complex technical challenges
- 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
Parallel Domain is a synthetic data platform focusing on 3D simulation and generative AI to support industries like autonomous vehicles and drones. This specialization fosters a technologically advanced and forward-thinking environment, making it an excellent workplace for those interested in contributing to the development of autonomous systems and machine learning applications. The company emphasizes high-quality, diverse data sets and accurate annotations, establishing itself as a leader in its field and providing its staff with the opportunity to work on cutting-edge technology and innovative solutions.
Company Stage
Series B
Total Funding
$43.9M
Headquarters
Palo Alto, California
Founded
2017
6 month growth
↑ 4%1 year growth
↓ -11%2 year growth
↓ -27%
Simplify's Take
What believers are saying
- Parallel Domain's innovative products like PD Replica and Reactor can significantly enhance AI performance, making it a leader in synthetic data generation.
- The company's recent $30M Series B funding round indicates strong investor confidence and provides ample resources for further innovation and growth.
- Their focus on synthetic data addresses critical needs in autonomous driving, potentially leading to widespread adoption and industry partnerships.
What critics are saying
- The reliance on synthetic data may face skepticism from industries traditionally dependent on real-world data, potentially slowing adoption.
- High competition in the AI and autonomous vehicle sectors could pressure Parallel Domain to continuously innovate to maintain its edge.
What makes Parallel Domain unique
- Parallel Domain specializes in high-fidelity synthetic data generation, setting it apart from competitors who rely on real-world data collection.
- Their PD Replica product uniquely transforms real-world photos, videos, and 3D scans into digital twins, enhancing autonomous vehicle testing.
- The integration of generative AI with 3D simulation in their Reactor engine provides unparalleled control and scalability for machine learning developers.