Full-Time
Head of Machine Learning
Confirmed live in the last 24 hours
Parallel Domain
51-200 employees
Synthetic data solutions for autonomous systems
Compensation Overview
CA$180k - CA$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 provides synthetic data solutions aimed at speeding up the development of autonomous systems, such as self-driving cars and delivery drones. The company generates synthetic labeled datasets, simulation environments, and controllable sensor feeds, which help teams in perception, machine learning, and data operations to develop, train, and test their algorithms in a safe and efficient manner. Unlike competitors, Parallel Domain offers a user-friendly API that allows clients to easily connect and access their synthetic data, reducing the need for extensive real-world testing. The goal of Parallel Domain is to streamline the development process for autonomous technologies, making it faster and more resource-efficient.
Company Stage
Series B
Total Funding
$42.7M
Headquarters
Palo Alto, California
Founded
2017
6 month growth
↑ 0%1 year growth
↓ -7%2 year growth
↓ -41%
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.
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