Stanford, California
We are Hiring!
We are a small and focused team dedicated to building the next generation compression technology with deep learning. We believe future compression will leverage machine learning to be content-aware, task-aware, and recipient-aware. We are reinventing the way people store, transmit and represent digital media. Our technology has the potential to disrupt multiple industry verticals. We make things small, but we think big!
Regardless of your role, we are looking for people who have strong communication skills, are eager to learn and teach others, and enjoy working in a fast-paced, collaborative environment. If you are excited to join the founding team of WaveOne and you feel you have what it takes, please reach out!
Regardless of your specific role, you will:
• Build cutting edge technologies with an experienced team
• Maximize your impact by learning how to prioritize what is most important
• Collaborate with a small team of people who care about your success
• Work in an environment that promotes work-life balance (writing high-quality code and doing innovative research requires both hard work and rest)
• Observe and have the chance to influence the company strategy, growth, and culture
• Get premium health and dental coverage and free lunch with the team
Location and availability: We only hire full-time employees that (once the apocalypse is over) are willing to work on-site from our offices in Palo Alto or Vancouver, Canada. We do not hire consultants or interns at this time.
Note on title qualifiers: We are interested in hiring both junior and senior people. Your seniority as well as your responsibilities will be reflected in your offer. However, our policy at WaveOne is to not use title qualifiers, such as Senior, Principal, Architect, etc. Title qualifiers are not reflective of our culture.
Research Scientist
Compression is one of the most exciting areas of deep learning research today because it is both practically grounded and ripe for creative innovation. On one hand, advances that lead to better compression rates translate into real dollars and cents (e.g. reduced transmission costs). On the other hand, the ability to do compression with deep learning blows the door wide open to a host of creative innovations that are prohibitively difficult to approach using traditional methods. For instance, more perceptually-relevant metrics are more readily optimized, and multimodal features can be learned (e.g. optical flow + residuals). Furthermore, neural network architectures and model efficiency optimization schemes must be adapted to compression problems.
What You’ll Do:
• Work with the team to define your research project that pushes the state of the art in ML-based compression technologies
• Build out the features on top of our current code infrastructure that are necessary to actualize your research vision
• Develop prototypes that demonstrate the possibilities of ML-based compression
• Deliver your work by creating new intellectual property, writing blogs and/or publishing papers on your work
• Stay current with the bleeding edge of compression by reading papers, attending conferences, and working closely with the team
Who you are:
You are a disciplined and creative researcher who balances doing thorough investigations and delivering results on a timeline. You are excited about growing professionally and are looking forward to working closely with our team.
Requirements:
• Ph.D. in Machine Learning, Computer Vision, Statistics or related field
• Foundational knowledge of probability, linear algebra, signal processing, and optimization
• Strong publication record, including one or more publications/workshop presentations in the following venues: CVPR, NIPS, ICCV, ECCV, ICML, ICLR
• Familiarity with Python and TensorFlow
• Ability to communicate complex ideas to others
• Experience writing high-quality code
Preferred skills:
• Prior experience in an early-stage startup
• Expertise in one or more of the following areas: computer vision, video streaming, compression, deep learning
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