Head of Machine Learning, Research & Development - NYC

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Company Description

At HyperScience we develop and deliver intelligent solutions to automate manual document processing for global financial services, insurance, healthcare, and government organizations. Founded in 2014, our solution extracts handwritten, cursive and printed typed text at better-than-human levels of accuracy and automation that get better over time. By streamlining operations and reducing the costs associated with data entry, we enable some of the world’s largest companies to improve customer service and drive new business opportunities.

With more than $50 million raised to date, we’re growing quickly and looking for individuals to join our team and make a difference in our organization and for our customers.

Job Description

Reporting to the CEO, the Head of Machine Learning R&D possesses strong expertise in deep learning, a love of coaching junior and aspiring ML scientists, a track record of applying cutting edge techniques to real world problems, and the ability to imagine how technology will change the future. This is an opportunity to lead teams of ML scientists as they engage in the full lifecycle development of ML solutions, conducting research of cutting edge techniques, implementing them in a fast-growth AI startup environment, and ensuring thеy are integrated in a reliable and scalable way to bring real value to customers. 

Responsibilities

  • Lead teams of Machine Learning Scientists to conduct innovative research and model building
  • Driving advancements in AI/ML research and applying it to create technologies for automating cumbersome business work like data entry and document processing
  • Collaborate with our CEO, VP of Engineering and VP of Product, and executives from our GTM teams as we drive forward our product roadmap with enterprise-grade solutions to customer problems
  • Mentoring ML scientists as they own ML models end-to-end, from collecting training data to deploying in production
  • Responsible for the quality and ongoing evaluation of the ML models
  • Working closely with the application teams to successfully integrate models into our product.
  • Collaborate with other engineers to build common tools for accelerating ML research internally.

Qualifications

  • Solid expertise in CS and Math (a PhD in Computer Science with a focus on Deep Learning, Machine Learning, or NLP is required)
  • People management / coaching experience
  • Strong knowledge of modern ML/DL technologies 
  • Experience in Computer Vision or NLP is required
  • Able to lead teams to perform applied research projects and bring them to production.
  • Experience with one or more general purpose languages (Java, C/C++, Python, etc)
  • Demonstrated ability to write high-quality code is an advantage.
  • Team player with strong communication skills

Benefits and Perks

  • Top notch healthcare for you and your family
  • 30 days of paid leave annually to help nurture work-life symbiosis
  • A 100% 401(k) match for up to 6% of your annual salary
  • Stock Options
  • Paid gym membership
  • Pre-tax transportation and commuter benefits
  • 6 month parental leave (or double salary to pay for your partner's unpaid leave)
  • Free travel for any person accompanying a breastfeeding mother and her baby on a business trip
  • A child care and education stipend up to $3,000 per month, per child, under the age of 21 for a maximum of $6,000 per month total
  • Daily catered lunch, snacks, and drinks
  • Budget to attend conferences, train, and further your education
  • Relocation assistance

We are an equal opportunity employer. We welcome people of different backgrounds, experiences, abilities and perspectives. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. 

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Location

Our New York City office is located on the 45th Floor of One World Trade. Incredible views, open floor plan, and minutes from the Subway & PATH.

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