Zippin

San Francisco
11-50 employees
AI-driven checkout-free tech platform for retailers powering stores around the globe from Japan to Brazil, Russia and the U.S.

Research Scientist, Deep Learning

Research Scientist, Deep Learning

Are you passionate about doing research on groundbreaking computer vision /deep learning algorithms that fundamentally change the way we shop? Come join the ML Science team at Zippin as a Deep Learning Research Scientist where your deep learning skills will help accelerate the adoption of checkout-free shopping across the globe. You'll work in a collaborative environment where you can pursue ambitious, long-term research, with many peta-bytes of data, work on problems that haven’t been solved before, quickly implement and prototype new ideas and see them in production by collaborating with our Engineering team.

The ML science team works on a broad range of technologies and seeks to innovate in all areas of checkout-free retail including people detection, people tracking, object recognition, camera calibration, SLAM, activity recognition, gesture recognition, sensor fusion, and semantic understanding. We’ve collected a massive database of complex real-world data that we can use to validate our approaches. Zippin's stack is built with OpenCV, Tensorflow, Docker.

You will be directly reporting to our co-founder and chief scientist and take part in defining the company's AI innovation, supervise its execution and communicating the same to executives and, most importantly - drive innovation! If the combination of real data, real users, and cutting-edge applied research appeals to you, then we’d love to talk!

This position can be remote (in US) or located in San Carlos, CA or San Francisco, CA.

Requirements

    • Research experience with a successful track record of delivering quality results and/or academic publications in top CV, CG, or ML venues
    • Expertise designing and training novel deep learning (DL) architectures for CV with a broad understanding of DL methods and literature
    • Expertise in machine learning spanning supervised and unsupervised learning methods, and applying ML to real-world problems
    • Strong mathematical skills with knowledge of statistical methods and optimization
    • Experience with deep learning frameworks such as Tensorflow, Keras or PyTorch
    • Strong software development experience in languages such as Python, C++
    • Great interpersonal skills
    • MS (PhD preferred) in Computer Science or related field
    • Familiarity with trending and state-of-the-art technology in computer vision and/or machine learning.

Responsibilities

    • Conceptualizing, designing, implementing, and validating potential CV and ML algorithmic solutions for automating retail and checkout
    • Work cross-functionally with engineers, scientists, and product leaders across teams, to help define and prioritize problem requirements
    • Running offline experiments and building prototypes to evaluate the algorithms
    • Understand limitations in algorithms and data and innovate to solve these problems
    • Contribute to the design and improvement of our ML platform, data collection and requirements

Nice to haves

    • Computer graphics, video understanding, 3D, or adversarial training
    • Audio, NLP, or multi-modal algorithms
    • Recommendation Systems, Active Learning, or Reinforcement Learning


There's never been a more exciting time in retail.  Frictionless experiences are being demanded by shoppers who are tired of waiting in line and want to zip in and out of their favorite stores. 

Zippin provides autonomous checkout for leading brick & mortar retailers. Shoppers just walk into stores, pick up the items they want, and then leave. We use machine learning, computer vision, and sensor fusion to automatically charge shoppers when they walk out—no more checkout lines.

Zippin is headquartered in San Francisco, CA, with additional offices in San Carlos - CA, Toronto - Canada, and India. Industry veterans from Amazon, SRI, and VMware founded the company and raised over $15M in venture funding from Evolv, NTT Docomo, SAP, and Maven Ventures.

Zippin is proud to be an equal opportunity employer. We're committed to fair hiring practices and a welcoming working environment. All candidates are considered for employment without regard to race, religion, ethnicity, age, gender, sexual identity or expression, medical condition, or socioeconomic status. We value our differences and we're excited to learn what you can add to our team.
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