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.
The VP of Machine Learning (“ML”) will build, grow, and lead the cutting-edge research of Hyperscience’s Machine Learning team. You will lead the team in research, experimentation, and implementation of new ML models and approaches which are mission-critical for Hyperscience. Your team will also own the foundation for data, infrastructure, and tooling that accelerates ML experimentation at Hyperscience. As a machine learning thought leader and executive partner, you will identify key strategic opportunities and product improvements, helping to solidify Hyperscience’s position as the leader in automation.
Shape, grow and lead exceptional teams that delivers novel, strategic ML solutions.
Lead ML research and development of tooling in deep learning, computer vision, natural language processing, and data engineering, using state-of-the-art approaches.
Leverage your ML industry expertise to introduce new technologies and processes, and drive innovation within Hyperscience’s product offerings.
Deep technical background in applied machine learning, including deep learning, computer vision, natural language processing, and data engineering.
An eye for product and relentlessly putting the customer at the heart of your strategic decisions.
Previous experience in building and leading ML teams in creating end-to-end machine learning pipelines, including algorithms and tooling.
Nice-to-have: Published researcher with a strong track record of academic experience in ML and AI.
Benefits & 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
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
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.
For Sofia/UK roles: 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.