_Careers

Our team brings together a deep understanding of machine learning algorithms, available data and engineering infrastructure to build great software. Product Engineers at Primer are able pick up the latest machine learning scientific paper and quickly prototype up a solution, and then see this implemented through to production. They are comfortable with open-ended problems defined by the needs of a customer and relish the joy of seeing a task taken from idea through to a finished product. Our work requires a breadth of expertise, an ability to learn quickly, and an eagerness to engage in deep collaboration across the company.

The Machine Learning team builds the core algorithms that power Primer’s analytic engines. Our focus is on solving the hardest problems in natural language processing, understanding, and generation. We do this at scale and across a diverse set of document types and human languages. Every day we develop, and implement cutting-edge algorithms; maintain and improve the performance of Primer’s existing suite of algorithms; and help find novel uses for Primer’s technology.

Product development at Primer moves rapidly between research, design, engineering, and testing. Making this process work within the constraints of delivery deadlines and evolving customer needs requires fluid team coordination. Product managers and designers wear many hats, from strategic planning to real-time engineering problem-solving and deep-dives into scientific literature. Ultimately, we lead the effort to make products with maximum impact.

Our team has decades of collective industry experience building robust systems that routinely process and analyze hundreds of millions of documents securely. Our distributed components allow for massive parallel computation of natural language data, while our infrastructure UI components provide the framework for users to launch and share analyses with each other. The Platform Team provides the critical technical foundation the rest of the Company relies on, both for day to day operations and as a base layer for all products.

We work with some of the largest and most successful companies and organizations in their industries. Our passion is developing solutions that enable our partners to solve their most difficult challenges. To accomplish this we work closely with the teams at Primer to ensure that our analytic products adapt rapidly to the needs of the customer, as well as anticipate the needs on the horizon.

The Solutions Architecture team is a jack-of-all trades technical team that serves as the interface between the customers and the company. Our responsibilities include scoping and deploying Primer’s suite of NLP/NLG solutions to our customers; prototyping new technologies and concepts to meet the needs of the customer; maintaining customer relationships and seeking opportunities to improve product usage, value, and customer satisfaction.

Primer is growing quickly, and the Operations team is central to everyone’s success. HR, IT, Security, Legal, Compliance and Payroll are part of this team. We are responsible for building the environment and providing the resources that keep our team working at their best. We believe that the key is to strike a balance of having a big picture view of systems and processes, and at the same time keeping processes lightweight and adaptive to enable the nimbleness of a startup. Our primary goal is to make things smooth (and invisible) for Primer’s greatest asset: our people.