Location
Remote | United States
Job description
Duration: 06 Months
Client 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.
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 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.
Top 3 must-have HARD skills:
- Python, Scalable distributed systems
- database experience, SQL, source control systems (Mercurial and GIT)
- Software Engineer support and work with very large data sets
Good to have skills:
- working hands on or with Machine learning/computer vision
- Machine learning details- PyTorch would lend well to the role.
- Machine learning Engineer, Data Engineer, Software Engineer
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, tradeoffs, 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.
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