Data Services Engineer

Company Description

Hyperscience is a market leader in hyperautomation and a provider of enterprise AI infrastructure software. The Hyperscience Hypercell platform unlocks the value of an organization’s back office data through the automation of end-to-end processes, and transforms complex documents into LLM and RAG-ready data to power enterprise GenAI experiences. This enables organizations to transform manual, siloed processes into a strategic advantage, resulting in a faster path to decisions, actions, and revenue; positive and engaging customer, public, and patient experiences; and dramatic increases in productivity. 

Leading organizations across the globe rely on Hyperscience to drive their hyperautomation initiatives, including American Express, Charles Schwab, Fidelity, HM Revenue and Customs, Mars, Stryker, The United States Social Security Administration, and The United States Veterans Affairs. The company is funded by top tier investors including Bessemer Venture Partners, Battery, FirstMark, Stripes, and Tiger Global.

The Expert Data Services team provides white glove professional services to Hyperscience clients across some of the largest enterprise and government agencies worldwide.

The Data Services Engineer is an expert at training high-performance Machine Learning models, using all the tools provided by the Hyperscience platform, and solving real-world challenges for our customers. The team serves multiple stakeholders in the organization, ranging between pre-Sales, post-Sales, and the Engineering, Product and Design teams.

We are looking for a Data Services Engineer with a passion for solving complex problems in a fast-paced environment, while working with cutting-edge AI technology, aiming at providing meaningful outcomes for our clients’ businesses.

Responsibilities

• Builds solid understanding of the Hyperscience software product. Can work independently with structured and unstructured use cases. Understands how to build effective AI models to achieve a customer’s success criteria.
• Independently handles data annotation projects, dealing with a variety of document types and data.
• Builds expertise in different industry documentation use cases.
• Identifies issues in data annotation guidelines and collaborates with the team to resolve them.
• Participates in the continuous improvement and creation of annotation processes and guidelines.
• Maintains high standards of data quality, by reviewing own work, and other colleagues’ work; by performing Quality Assurance tasks and dataset reviews. 
• Collaborates well with team members and works as part of a team.
• Assists in mentoring Associate Data Service Engineers on annotation techniques and project requirements.
• Actively participates in discussions, brainstorming sessions, and cross-departmental collaboration.
• Provides monthly and quarterly updates to peers, Product, Design and Engineering teams with product feedback, bugs and improvement suggestions, resulting from using the Hyperscience Platform.
• Performs beta testing on new product features/functionalities, as needed.
• Works closely with Technical Services teams, Implementation team and customers to build and execute effective implementation project plans for new implementations and complex new use cases.
• Consults and updates customers/stakeholders regularly, to fully understand their needs when building a Machine Learning model solution for a client Use Case.
• Monitors project timelines and ensures success criteria are met when building client deliverables.

Qualifications

• Previous experience in working with software, customer service, or a related field is required.
• Bachelor's degree/ongoing studies in Information Technology, Business Administration, Economics, or related field and/or relevant experience in a role working with customer data, project management or software.
• Basic proficiency in Microsoft Excel or G-Sheets.
• Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy.
• Fluency in English is required, knowledge of any other language would be beneficial.
• Excellent verbal and written communication skills, with the ability to articulate complex technical information in a clear and concise manner to a non-technical audience.
• Ability to work cooperatively with others under the pressure of deadlines and competing demands.
• Ability to quickly learn and develop competency in new software tools and user interfaces.
• A positive attitude and a genuine desire to help others.

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

- Work from home flexibility

- Up to 4 months of fully paid parental leave used within 3 years of your child’s birth

- 20 days of paid leave minimum annually with an additional unlimited amount to help nurture work-life symbiosis

- A great office, with an excellent location

- 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 status, veteran status, or disability status.

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PLEASE BE AWARE of, and cautious about, potential recruitment fraud. All of our open jobs can be found directly on our careers page at:

https://www.hyperscience.com/about-us/careers/open-positions/

We will never communicate with candidates except via our @hyperscience.com email domain. Any communication you receive outside of these parameters is potentially fraudulent.

Additionally, we never conduct interviews solely via online tests, nor do we make job offers without multiple cross functional live interviews via Zoom, phone or onsite. We only ask for personal information via our application process on our careers page or through a verifiable background check company during onboarding.