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Staff Software Engineer, Machine Learning



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4-8 Years
a month ago
124 Viewed
0 Applied

Job Description

Did you know that the average American spends over 100 hours a year standing in line Our time is valuable. We are all tired of waiting in line. With the convenience of online shopping and delivery services for every type of business everywhere, shoppers are demanding the same frictionless experience when it comes to shopping in a store. There has never been a more exciting time in retail for Zippin to deliver a cutting-edge shopping experience that will provide the highest level of service and anticipate the needs of shoppers.

The Zippin platform-as-a-service provides a checkout-free solution for all kinds of stores, transportation hubs, sports arenas, business and university dining locations, and any other physical retail space. Shoppers are able to walk in the store, pick up what they want, and then leave. We use machine learning, computer vision, and sensor fusion to automatically charge shoppers when they walk outa paradigm shift in the shopper experience, with no lines.

In August of 2021, we closed a $30 million Series B funding round with participation from new and existing investors including OurCrowd, Maven Ventures, Evolv Ventures and SAP. This new round brings Zippin's total funding to more than $45 million. This round comes on the heels of significant progress we've made in recent months, including signing numerous new accounts, launching multiple new public checkout-free stores, and further solidifying their leading technology within the future of retail.

We are seeking a passionate Staff Machine Learning (ML) Engineer, with strong backgrounds in developing and deploying state-of-the-art models in the computer vision space on cloud as well as edge devices. You will participate in the complete cycle of building machine learning models from conceptualization of ideas, data preparation, feature selection, training, evaluation and productionisation.

On a typical day, you might build data pipelines or develop a new machine learning algorithm or train a new model or deploy the trained model on the cloud. You will have a high degree of autonomy, ownership and influence over your work, machine learning organizations evolution and the direction of the company.

This position can be remote in the US, India, or Canada.

Required Qualifications

  • Bachelor's degree in computer science/electrical engineering or equivalent practical experience.
  • 8+ years of relevant work experience in software development.
  • 4+ years of experience with computer vision, machine learning or deep Learning.
  • Strong grasp of statistical machine learning, linear algebra, and deep learning for computer vision
  • Experience with one or more general purpose programming languages including but not limited to: C/C++, or Python.
  • Experience with PyTorch or TensorFlow or other ML Frameworks.
  • Experience in deploying ML solutions in production environments.

Desirable Qualifications

  • Master's or PhD degree in Computer Science, Artificial Intelligence, Machine Learning, or related technical field.
  • Strong research experience with a track record of publishing or internship experience focussed in one or more of the following: Computer Vision, Natural Language Processing, pattern recognition, recommendation systems, or similar.
  • Experience in deploying ML solutions on large scale systems.
  • Excellent communication and documenting skills.

In this role, you will

  • Design and implement ML components, systems and tools to automate and enable checkout free shopping.
  • Apply research methodologies to identify the machine learning models to solve a business problem and deploy the model at scale.
  • Own the ML pipeline from data collection, through the prototype development to production.
  • Develop high-performance, scalable, and maintainable inference services that communicate with the rest of our tech stack.


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Last Updated: 07-06-2024 11:10:43 AM
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