Hyperscience is a technology company blazing a new path in enterprise automation with a reimagined approach to building and powering processes. The Hyperscience Platform is the world's first Software-Defined, Input-to-Outcome Automation platform used by top public companies and government organizations around the world to build and run mission-critical processes with ease and speed.
Hyperscience helps enterprises quickly build and roll out new business processes with built-in automations, reduce manual errors, increase high- and low-skilled employee productivity, and eliminate the need for costly transformation. Hyperscience’s Intelligent Document Processing solution has been implemented at some of the world's leading financial services, insurance, healthcare and government organizations, including TD Ameritrade, QBE Insurance Group Limited and Voya Financial, helping them lower costs, reduce error rates by 67% and increase employee capacity by 10x.
Since its founding in 2014, Hyperscience has grown to more than 150 employees with offices in New York City, Sofia, Bulgaria, and London, UK, and has consistently been recognized as one of the best places to work, with a collaborative and innovative culture and best-in-class benefits.
We are focused on building the world’s first Software-Defined, Input-to-Outcome platform by understanding documents, extracting structured and unstructured data, and automating business processes end-to-end - and we’re looking for amazing people to join us.
Machine Learning (ML) sits at the core of our efforts to automate the future work. We turn ML lab experiments into enterprise-ready AI solutions to solve complex machine perception and natural language understanding problems.
This is an opportunity to work on the full lifecycle of an AI solution - you will research cutting-edge techniques (Computer Vision, Natural Language Processing, Meta Learning, Online Learning), 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.
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
Minimum five years of experience in Software Engineering, of which at least two in Machine Learning
Practical experience in modern ML/DL technologies (applying ML to real-world projects)
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.)
Professional experience with Tensorflow/Pytorch or other popular ML framework
Demonstrated ability to write high-quality code
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 QA 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 status, veteran status, 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.