At HyperScience, we use modern machine learning to turn documents into machine-readable data. Our customers receive a wide variety of documents, like life insurance applications, paystubs, utility bills, insurance claims, that must be processed quickly and accurately to better serve the people at these organizations, and their customers. Amazingly, this is all done manually today. We’re on a mission to change that!
Our product is already delivering value to large, blue-chip organizations in financial services and insurance, and we see a massive opportunity to expand to more industries and automate more business processes. We are looking for people who are excited to help us build upon this foundation and vision.
Founded in 2014 by Peter Brodsky, Vladimir Tzankov, and Krasimir Marinov, Hyperscience has raised $50 million from Third Kind, SV Angel, The Stripes Group, Firstmark, Battery Ventures, and Felicis Ventures.
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 work on the full lifecycle of an ML solution - you will research cutting edge techniques, implement them in a fast-growth AI startup environment, and ensure thеy are integrated in a reliable and scalable way to bring real value to customers. Furthermore, you’ll provide opportunities for these models to be automatically retrained and get smarter over time!
Following AI/ML research and apply it to create technologies for automating cumbersome business work like data entry
Bringing algorithms and models research into practice
Helping integrate the state of the art into HyperScience’s products
Owning 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
Collaborating with other engineers to build common tools for accelerating ML research internally
Qualifications and Experience:
Solid understanding of Math and CS fundamentals
Strong analytical skills
Knowledge of modern ML/DL technologies (experience applying ML to real-world projects is a plus)
Experience in Natural Language Processing is a plus
Able 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
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
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.
is to automate low-, medium-, and high-skill office work in order to help our customers do their jobs better, faster, and cheaper.
is to build products that are drop-in replacements for existing manual business processes. There are no lengthy integration periods and no steep learning curves. Customers do not need to change anything about how they operate, or understand anything about artificial intelligence in order to benefit from our suite of work automation products.