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Date:  May 31, 2024

Solutions Specialist, MLAI


Remote, MA, US, 01938

Onsite or Remote:  Remote
Company Name:  EBSCO Information Services

EBSCO Information Services (EIS) provides a complete and optimized research solution comprised of e-journals, e-books, and research databases - all combined with the most powerful discovery service to support the information needs and maximize the research experience of our end-users. Headquartered in Ipswich, MA, EIS employs more than 2,700 people worldwide, most now working hybrid or remotely. We are the leader in our field due to our cutting-edge technology, forward-thinking philosophy, and outstanding team. EIS is a company that will motivate you, inspire you, and allow you to grow. Our mission is to transform lives by providing relevant and reliable information when, where, and how people need it. We are looking for bright and creative individuals whose unique differences will allow us to achieve this inclusive mission around the world.





Your Opportunity

You are an information specialist who relishes solving novel problems in the areas of machine learning, generative AI, natural language processing, information extraction, document summarization, information retrieval, search relevancy, and/or knowledge graphs. You will bring new ideas, iterate quickly, share findings, and drive new solutions for content metadata enrichment and content discovery/findability.


This job is not a traditional software developer or data science role and is best suited to someone with knowledge and experience in fields such as information systems, knowledge management, and/or library science.  Creativity in the face of open-ended problems is required.



This remote position is U.S.-based only (excluding U.S. territories).



What You’ll Do

  • Develop tools and strategies related to text analytics, machine learning, generative AI, and metadata enrichment pipelines
  • Engineer precise, clear, and effective prompts to guide LLMs towards generating desired outcomes, while minimizing biases and hallucinations
  • Drive projects as the principal point-of-contact, with the ability to determine suitable MLAI models, direct feature engineering processes, and negotiate KPIs per business needs
  • Build and maintain strong working relationships with product managers, software developers, knowledge engineers, and senior business leaders
  • Actively track market trends and emerging technologies, including staying aware of cutting-edge research in ML, Generative AI, and NLP topics, to identify innovative solutions



Your Team

You will join a ~20-member Semantic Enrichment department comprised of a Machine Learning Team and Operations Team.  You will join the 5-person Machine Learning Team, working closely with the 15-person Operations team comprised of taxonomists and metadata specialists. The department takes an agile development-like approach to planning and executing work, and we work closely with developers and product managers from content, search, and UI/UX teams.



About You

  • 7+ years’ experience with natural language processing and/or machine learning model implementation, including ML Ops processes such as experimentation and quality review
  • 5 years’ experience with Python for data science, including Pandas, Jupyter notebooks, and open-source machine learning modules (Scikit, NLTK, Spacy)
  • 5 years' experience with database querying, extraction of data, and design using SQL
  • Demonstrated knowledge of statistics and information retrieval quality measures, including precision, recall, and F-measure


What Sets You Apart

  • Problem-solver who applies critical thinking and creative technical solutions to address root causes of problems in the metadata enrichment and/or search space
  • Experience automating manual, intellectual tasks
  • Demonstrated interest in search strategy and exposure to Search technologies (e.g., Elasticsearch, OpenSearch)
  • 1-years’ experience working with generative AI models, including prompt engineering and parameter tuning in a real-world setting
  • 2+ years’ experience in advanced machine learning skills, including deep learning, model architectures, and ensemble modeling
  • 5+ years’ experience sharing insights from data with others, listening to subject matter experts, translating expert knowledge into ML features, and connecting with project stakeholders
  • Experience in publishing, knowledge management (e.g., libraries, librarians), or a related field



Our Offer to You

Target Annual Compensation Range: $109,800 - $156,855.


The actual salary offer will carefully consider a wide range of factors including your skills, qualifications, education, training, and experience, as well as the position’s work location.


EBSCO provides a generous benefits program including  

  • Medical, Dental, Vision, Life and Disability Insurance and Flexible spending accounts  
  • Retirement Savings Plan  
  • Paid Parental Leave 
  • Holidays and Paid Time Off (PTO) 
  • Mentoring program 
  • And much more! Check it out here: 


We work hard to embrace diversity, equity, and inclusion and encourage everyone at EBSCO to bring their authentic selves to work every day.  We have a wide representation of employee resource groups.  To learn more, visit 


The EBSCO Way 

At EBSCO, our culture is defined by ten guiding principles. We put our customers first, and we're always looking for ways to innovate and improve. We make decisions based on facts, communicate openly, and hold ourselves accountable for results. Trust, respect, and care for each other are essential to how we work. Every day, our actions and teamwork shape who we are as a company. To learn more about our culture, visit    






We are an equal opportunity employer and comply with all applicable federal, state, and local fair employment practices laws. We strictly prohibit and do not tolerate discrimination against employees, applicants, or any other covered persons because of race, color, sex, pregnancy status, age, national origin or ancestry, ethnicity, religion, creed, sexual orientation, gender identity, status as a veteran, and basis of disability or any other federal, state or local protected class. This policy applies to all terms and conditions of employment, including, but not limited to, hiring, training, promotion, discipline, compensation, benefits, and termination of employment.

We comply with the Americans with Disabilities Act (ADA), as amended by the ADA Amendments Act, and all applicable state or local law.

Nearest Major Market: Boston

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