At Standard Cognition, we’re rethinking the way retail works. We are enabling autonomous checkout for brick & mortar retailers with our AI-powered computer vision platform. Since launching in November 2017, Standard has contracts with multiple global retailers and is in the process of deploying our Standard Checkout solution across thousands of stores globally. We announced our Series A in November 2018 and we’re backed by some of Silicon Valley’s leading investors including CRV, Initialized, Draper Associates and YCombinator. Recently, Standard raised its Series B and is now valued at $535 million.

Data quality and quantity can make or break any machine learning application. Standard Cognition is looking for a data engineer to build infrastructure for the entire lifecycle of our automated checkout models : data processing, model training and deployment. Your work will enable rapid experimentation and iteration on deep learning pipelines which handle terabytes of incremental data every week. You’ll be a technical leader on the data team working closely with machine learning engineers to establish best practices and develop solutions to handle one of the largest and most novel computer vision datasets in the industry.

What you'll do here:

• Own team’s architecture and be a go-to person for major technical decisions. Effectively lead project planning and design discussions with multiple senior or junior engineers.
• Build and iterate on the internal infrastructure for the collection, storage, annotation and processing of petabytes of data to train our models.
• Build pipelines to automate the various steps in our ML workflows.
• Use parallel processing frameworks like Apache Spark to speed up sampling and pre-processing of datasets.
• Design a solution for versioning and efficient sharing of large intermediate datasets so that the ML team can collaborate and experiment at a quick pace.

Who you are:

• BS, MS or PhD in Computer Science or related technical discipline.
• 4+ years of relevant work experience.
• Proficiency with a programming language like Python, Java or Scala and Shell scripting.
• Experience with scalable data processing systems like Spark/Hadoop, Kafka etc.
• Experience with SQL, NoSQL (E.g. Cassandra) and file-based (e.g. Parquet) data stores.
• Experience with data workflow management and automation tools such as Airflow.

Only meet some of these requirements? We'd still love to hear from you!

Why you might want to work with us:

• We take care of you and your family with health, vision, and dental insurance.
• We're serious about food. Free catered lunch every day, and a fully stocked kitchen with occasional snack appearances from our Japanese office. Healthy and not-so-healthy options are available, as are foods for those with dietary restrictions.
• You're excited to work on a product that will impact almost any consumer, almost anywhere.
• We dress casually. If you want, you can wear slippers in the office. You should see the creative collection our team has built.
• We believe in a culture of learning, and want to keep building our skills, experiences, and capabilities.
• We offer flexible work schedules. We trust our team to know how they will do their best work.
• We're family friendly. We want our teammates to focus on what they need to when they need to.
• We offer very competitive compensation, including equity in Standard, to each one of our employees.

Email: [email protected]

Standard provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, genetics, sexual orientation, gender identity, or gender expression. We are committed to a diverse and inclusive workforce and welcome people from all backgrounds, experiences, perspectives, and abilities.