Fairmarkit is the #1 autonomous sourcing platform revolutionizing the way all organizations buy & sell. Fairmarkit equips procurement teams with automation, AI, and GenAI so they can source more competitively at scale. Our solutions for tail spend and strategic sourcing help innovative procurement teams reduce cycle times, drive out costs, meet ESG/Diversity targets, and provide a better stakeholder experience to internal partners and suppliers. Fairmarkit has been recognized with awards by organizations such as Gartner and IDC, and is backed by strategic investors like Notable Capital, Insight Partners, 1984.VC, and Newfund.
Fairmarkit is looking for a Senior Machine Learning Engineer / Team Lead to join our Data Science team. The individual in this position will operate at the intersection of product and technology, addressing some of our customers' most critical challenges and delivering ML/AI capabilities that enhance Fairmarkit’s product suite.
In this role, you will leverage our extensive spend data — encompassing hundreds of billions of dollars to date — to develop impactful solutions. You will be responsible for all aspects of the development cycle, including:
- Leading the Data Science team
- Collaborating directly with product teams to identify and formalize business needs
- Identifying, collecting, analyzing, and transforming data to address specific problems
- Prototyping new models and developing detailed integration plans for their incorporation into existing business processes
- Defining, collecting, and analyzing key success indicators
- Communicating approaches and results to internal and external stakeholders
We are seeking a results-oriented individual with proven experience in delivering ML/AI solutions in production. This person should have expertise in NLP, recommender systems, and bonus points if they are well-versed in the latest advancements in LLMs and generative AI. It is crucial that this individual can clearly articulate the business impact of their previous efforts.
Examples of projects at Fairmarkit include:
- Applying NLP and learn-to-rank models to understand customer requests and deliver best-in-class supplier recommendations
- Building graph models that enable customers to expand their supplier relationships and discover new relevant suppliers for sourcing
- Developing ML models that parse and analyze large amounts of unstructured documents, deploying them in human-in-the-loop procurement processes such as contract review and proposal evaluation
- Initiating R&D projects
- Working with fellow engineers to build out parts of the MLOps infrastructure, enhancing development velocity for the entire team
If you are passionate about making a significant impact through innovative ML/AI solutions and possess the required experience, we encourage you to apply to join our team.
For this role we are looking for a candidate based in Poland. #LI-YM1
Headquartered in Boston, and backed by a $35.6M Series C co-led by OMERS, Highland, Notable Capital, Insight Partners, and ServiceNow. We are looking for exceptional candidates who want to help grow our company into a global enterprise and make their mark on the B2B tech industry. Come soar to new heights with us!
Fairmarkit is an equal opportunity employer, and selects individuals best matched for the job based upon job-related qualifications regardless of race, religion, color, creed, sex, sexual orientation, age, ancestry, national origin, gender identity, genetic information, disability, pregnancy, veteran or military status or any other status or characteristic protected by law.
Top Skills
What We Do
Fairmarkit is the intelligent sourcing platform that empowers organizations to more efficiently purchase the goods and services they need. By equipping procurement and supply-chain teams with automation and data, Fairmarkit promotes competitive bidding while reducing manual work within existing processes. Leveraged by innovative procurement departments across a number of industries, such as Univision, ServiceNow, and the MBTA, Fairmarkit aims to revolutionize the way organizations make purchases.
