Research Engineer, Computer Vision
Summary
Our company is at the forefront of creating the future of virtual and augmented reality. Our team of experts is dedicated to developing cutting-edge technologies that will change how we work, play, and connect. As a Research Engineer on our team, you'll have the opportunity to build innovative hardware and software that will define the metaverse.
We are seeking a creative, skilled, and motivated research engineer to join our team in building the future of communication through photorealistic telepresence. Our goal is to connect people separated by distance as if they were in the same room together. To achieve this, we research, develop, and productionize state-of-the-art methods in computer vision and machine learning for human understanding and telepresence.
Responsibilities:
• Conduct applied research in computer vision and machine learning (person semantic understanding, novel view synthesis, non-rigid tracking, etc.)
• Work towards long-term ambitious research goals while identifying intermediate milestones
• Apply relevant AI and machine learning techniques to build intelligent visual systems that improve our products and experiences
• Advance the state of AI for your problem, including setting and executing against roadmaps for 6-month plus timeframes
• Develop novel, accurate AI algorithms and advanced systems for large scale applications
• Define use cases and develop methodology and benchmarks to evaluate different approaches
Minimum Qualifications:
• Research background in machine learning, deep learning, computer vision, or related fields
• 3+ years experience in developing and debugging in Python, C/C++, C#, or similar programming language
• 3+ years experience in theoretical and empirical research and addressing research problems
• Experience working with PyTorch
Preferred Qualifications:
• Experience solving complex problems and comparing alternative solutions, trade offs, and diverse points of view to determine a path forward towards bringing state-of-the-art approaches onto real world devices
• Experience in deep learning concepts such as Generative Adversarial Networks, Latent Diffusion, and Transformers
• Experience working and communicating cross functionally in a team environment
• Experience with distributed systems or on-device algorithm development
• Experience in face, hand or body reconstruction and tracking.
• Experience contributing to AI Publications at leading workshops or conferences such as CVPR, ECCV, ICCV, NeurIPS, and SIGGRAPH.
Pay range is $100 - $105 per hour with full benefits available, including paid time off, medical/dental/vision/life insurance, 401K, parental leave, and more. Our compensation reflects the cost of labor across several US geographic markets. Pay is based on several factors including market location and may vary depending on job-related knowledge, skills, and experience.
THE PROMISES WE MAKE:
At Crystal Equation, we empower people and advance technology initiatives by building trust. Your recruiter will prep you for the interview, obtain feedback, guide you through any necessary paperwork and provide everything you need for a successful start. We will serve to empower you along the way and provide the path for your professional journey
