Sr. Machine Learning Engineer

At Parallel Domain, we believe that autonomous systems - from self-driving cars to contactless delivery drones - have the opportunity to drastically improve the quality of life for billions of people. That is why we love what we do: enabling our customers to develop their technology safely using the Parallel Domain data generation platform. Our platform revolutionizes the way our customers generate sensor data for AI development. We're looking for people like you to join us in pushing the boundaries of artificial intelligence and synthetic data.

In this role you will:

What You'll Own:

About You:

Bonus Points:

$150,000 - $180,000 a year

Commensurate with experience and performance. 

Location Information: Most of our team works in a hybrid style in Vancouver, British Columbia. But we are also open to fully office-based employees or remote employees who can commit to working our core hours (Pacific 10 am to 4 pm) and travelling to our Vancouver office quarterly. In addition, we offer relocation support if candidates are open and interested in moving to Vancouver. 

Why join Parallel Domain?

We are assembling a team of creative, talented visionaries seeking to build a new technology that will change the world. You will be able to learn, build, and scale our team and technology in a collaborative, creative culture that values every team member.

To attract and inspire the right talent, we offer: 

• Competitive compensation

• Employer-paid supplemental medical, mental health, dental, and vision benefits.

• Flexible paid vacation, sick time, winter shutdown, and 11+ holidays per year

• Paid parental leave

• Equipment budget to optimize your setup

• Annual learning and development stipend

Parallel Domain celebrates diversity and is committed to creating a safe and inclusive environment for all our people. We are committed to providing employees with an environment free of discrimination, bullying and harassment. All employment decisions at Parallel Domain are based on business needs, job requirements and individual qualifications. We will maintain our commitment to and support of equal employment opportunity for all individuals without regard to race, national/ethnic origin, colour, religion, age, sex (including pregnancy), sexual orientation, gender identity/expression, marital status, family status, genetic characteristics or physical/mental disability. Our commitment extends to any other protected classes which may exist under applicable law.