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.

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

Internship details:

Duration: Ideally 12-16 weeks (can extend up to 6 months)

Level: PhD students (must have prior relevant publications)

Location: Candidates based in the USA, Canada, or Germany

In this role you will:

You’ll be part of the ML team tasked with establishing best practises on creating and using synthetic data for perception

You will work directly with our team to perform cutting-edge research in one or more of these key areas: 3D computer vision, generative models for image/video/scene generation, style transfer, image inpainting, neural rendering, and related areas

You’ll develop, experiment, and integrate advanced CV algorithms into our platform

You’ll summarize your findings to help guide our team as well as our customers

You’ll sync with your team on a daily basis to discuss progress, ideas and problems

You’ll work with veterans from the gaming, movie and automotive industry

About You:

You are actively pursuing a PhD in computer science or a related field at a world renowned university.

You are well-versed with developing machine learning models for computer vision tasks

You have published peer-reviewed research in at least one of these areas: 3D Computer Vision and Scene Reconstruction, Generative Modeling (GANs, Diffusion models, 3D Gaussian Splatting), Image and Scene Synthesis (Inpainting, Style Transfer), Semantic Segmentation or Automated Scene Understanding, Domain Adaptation or Sim-to-Real techniques

You have prior experience with Pytorch, Tensorflow, or Keras.

You're eager to learn You are a team-player and understand the importance of clear communication

You thrive in ambiguous environments

You are not afraid to approach new challenges

You are fluent in english

Bonus Points (Nice to have):

Experience working with AV simulation, synthetic data generation, or multi-modal sensor data (cameras, LiDAR).

Familiarity with NeRF, 3D Gaussian Splatting, or point-cloud data.

Prior experience at a fast-growing startup or dynamic team.

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.

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Computer Vision Research Intern (Ph.D)

Internship details:

In this role you will:

About You:

Bonus Points (Nice to have):

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