Machine Learning Sales Engineer

Company: SuperAnnotate
Location: New York, New York, United States
Type: Full-time
Posted: 22.MAY.2021
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Summary

Company Description SuperAnnotate is a fast-growing Silicon Valley based ML startup. Our ML-powered end-to-end platform for computer visi...

Description

Company Description

SuperAnnotate is a fast-growing Silicon Valley based ML startup.


Our ML-powered end-to-end platform for computer vision engineers and labeler groups lets teams create, annotate, manage and automate even the most complex computer vision projects leading to more accurate training data and higher-performing ML models. We are very proud to have a product that is loved by computer vision engineers, which has allowed us to establish ourselves as a premium platform provider in the market. The underlying technology is based on our patented tech that speeds up the annotation process by 10-20x. We are venture funded by some of the world's best investors, with offices in the USA, Europe, and Asia.


Job Description

We are looking for an outgoing individual with an engineering background to join us as a Sales Engineer. In this role, you will work hand-in-hand with technical Sales teams as a machine learning subject matter expert to differentiate SuperAnnotate to our customers. You will help prospective customers and partners understand the power of SuperAnnotate, explaining technical features, helping customers design custom workflows and pipelines, as well as provide technical expertise to our customers.


Responsibilities

  • Work with our sales team in US to identify and qualify business opportunities, understand key customer technical objections, and develop the strategy to resolve technical blockers.
  • Provide in-depth machine learning expertise to support the technical relationship with SuperAnnotate's customers, including product and solution briefings and proof-of-concept work. Partner directly with product management to prioritize solutions impacting customer adoption of SuperAnnotate.
  • Work hands-on with customers around the world to demonstrate and prototype SuperAnnotate's product integrations in customer/partner environments.
  • Recommend integration strategies, enterprise architectures, and application infrastructure required to successfully implement a complete solution using best practices on SuperAnnotate.


Qualifications

  • Bachelor's degree in Computer Science, Mathematics, Machine Learning, or equivalent experience.
  • Experience with computer vision, machine learning, and numerical programming frameworks (e.g., OpenCV, TensorFlow, Python, R).
  • Experience delivering technical pitches.
  • If living in the United States, US work authorization is required.


Preferred qualifications

  • Master's degree in Computer Science Machine Learning or other technical field.
  • 1+ years of experience as a technical sales engineer in a tech environment or in a customer-facing role within a Professional Services/Systems Engineering team.
  • Experience building computer vision and deep learning solutions (e.g., network architectures, convolutional networks, etc.).
  • Ability to quickly learn, understand, and work with new emerging technologies, methodologies, and solutions in the Cloud/IT technology space.


Additional Information

What can you expect from us?

  • A competitive compensation package with base salary and equity.
  • A unique opportunity to be an early hire for a leading startup in one of the fastest growing areas of AI
  • Opportunity to have a dramatic and outsized impact on the direction of the company
  • An ambitious and international team that is passionate about learning and growing together
  • Advisors including rock-star professors at UC Berkeley and serial founders to help us grow, personally and professionally
  • An international team rooted in collaboration, innovation, creativity, and dedication

 
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