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Full-Time

Head of Machine Learning

Confirmed live in the last 24 hours

Parallel Domain

Parallel Domain

11-50 employees

Synthetic data platform for autonomous systems

AI & Machine Learning
Robotics & Automation
Automotive & Transportation
Data & Analytics

Compensation Overview

$180k - $220kAnnually

Senior, Expert

Remote in Canada

Category
Applied Machine Learning
Deep Learning
AI & Machine Learning
Required Skills
Data Structures & Algorithms
Requirements
  • 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
Responsibilities
  • 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

Growth & Insights
Headcount

6 month growth

4%

1 year growth

-11%

2 year growth

-27%
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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.