Computer Vision Research Intern (Ph.D)

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 simulated testing platform. Our software changes the way our customers test their systems, accelerating their ability to deploy safe and reliable AI. 

We're excited to bring on exceptional PhD Research Interns for summer and extended research opportunities. This is your chance to dive deep into advanced Computer Vision and Machine Learning research, collaborate daily with experienced professionals, and make immediate real-world impact.

Internship details:

In this role you will:

About You:

Bonus Points (Nice to have):

$90,000 - $120,000 a year

This salary range is annualized; will be pro-rated to the 4 or 6 month term.

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 interns, we offer: 

• Competitive compensation

• Relocation packages

• Equipment budget to optimize your setup

• 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.