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22.05.2020
★★★★★ Machine Learning Engineering Manager (Team Lead), HyperScience EOOD  Вижте визитка на компанията
Месторабота София; Постоянна работа; Пълно работно време
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Machine Learning Engineering Manager (Team Lead)

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. 
We are focused on understanding document images and extracting structured data. This naturally leads us to solve a number of problems in machine perception and natural language understanding. ML is at the core of what we do. We turn ML lab experiments into enterprise-ready AI solutions - and we’re looking for continuous learners to work on these efforts. This is an opportunity to lead a team and work on the full lifecycle of an ML solution - you will research cutting edge techniques and coach other ML engineers to implement research in a fast-growth AI startup environment.

Responsibilities:
  • Manage and guide a small team of Machine Learning engineers helping to set priorities and tasks
  • Plan and manage multiple projects to ensure successful delivery
  • Wrapping ML modules in reusable application components, which can be integrated in different configurations depending on the specific customer’s needs
  • Leveraging your systems knowledge to deliver fast and scalable software, starting from the design of the system through development and extension
  • Designing easy-to-use programmer interfaces and tools that will be leveraged by other developers, including APIs for our clients' developers
  • Creatively solving problems even when the initial answer is unclear
  • Actively participate in research, experimentation and development when needed
  • Actively participate in discussions and giving ideas/guidance
  • Helping improve our code quality by writing unit tests and performing thorough code reviews
  • Assessing where the optimization efforts should go in order to utilize better the ML components and know-how of the company
Qualifications:
  • Advanced understanding of math and computer science
  • Strong analytical skills
  • Track record of successfully coaching and mentoring machine learning engineers
  • Ability to collaborate effectively with product managers on machine learning product roadmaps and long term planning
  • Knowledge of modern machine learning/deep learning technologies (experience applying ML to real-world enterprise solutions is required)
  • Experience in Natural Language Processing is a plus
  • Able to perform applied research projects and bring them to production
  • Experience building high-quality production models in Python is required
  • Team player with strong communication skills
  • Proficiency in written and spoken English language
Benefits & Perks
  • You’ll work with some of the best machine learning, software and test engineers in one of the most innovative tech companies in Sofia
  • Budget to attend conferences, train, and further your education
  • 30 days of paid leave annually to help nurture work-life symbiosis
  • A great office, with excellent location
  • Massages at the office by a professional massage therapist
  • Auto assistant for your car
  • Catered lunches, afternoon breakfasts, and a great variety of snacks and drinks
  • A sports card, covering various options for sport
  • Additional health insurance package, including extensive medical, dental & vision care
  • Truly competitive salary
  • Stock options
  • Referral bonus
All job applications will be treated and processed with strict confidentiality and in full compliance with the GDPR provisions. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital or disability status.
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