What you'll do:

• Build robust SfM and pose pipelines: Improve accuracy, speed, and reliability of pose estimation components.
• Develop geometric vision models: Design and implement learned modules for camera calibration and pose refinement.
• Integrate ML and classical methods: Combine geometric algorithms with modern ML tools for practical performance.
• Collaborate on data and evaluation: Partner with ML engineers to curate datasets and define metrics for success.

What you’ll bring:

• Advanced degree: MS or PhD in ML, computer vision, robotics, or related field.
• Relevant experience: Industry experience applying ML to computer vision problems, with emphasis on pose or multiview geometry.
• Technical proficiency: Strong Python experience and production-level code development.
• Foundational knowledge: Deep understanding of 3D geometry, linear algebra, and optimization.

What will help you stand out:

• Hands-on experience: Demonstrated experience in developing and deploying production-level machine learning models.
• Parallel Compute Experience: Experience in programming CUDA kernels for 3D computer vision applications
• Research background: Familiarity with academic research in 3D reconstruction, visual geometry transformer models, bundle adjustment or related fields.
• Industry knowledge: Understanding of the autonomous systems landscape and the potential applications of machine learning in this domain.
• Publication record: Publications in top-tier conferences or journals related to machine learning.

What we offer:

• Competitive compensation: Compensation dependent on your skills, qualifications, experience, and location.
• Impactful work: The chance to contribute to the advancement of autonomous systems and AI.
• Collaborative culture: A dynamic and supportive work environment where your ideas are valued.
• Professional growth: Opportunities to learn and develop your skills in a cutting-edge field.

If you're passionate about machine learning, 3D reconstruction, generative AI, and the future of autonomous systems, we'd love to hear from you. Apply today and help us revolutionize the world of AI!

This position is available in Vancouver, BC and Karlsruhe DE.

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.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.