Harvard Business Publishing (HBP) – the leading destination for innovative management thinking. We reach lifelong learners to improve the practice of management in a changing world. This mission inspires each of us to unlock the leader in everyone – including you!
The opportunity:
The Machine Learning Engineer position is responsible for delivering an enterprise-grade recommendations engine, LLM integrations, and other ML solutions for our Learning Products. This role will collaborate with data scientists and engineers to influence the short and long-term ML usage strategy and architecture for the company. The ideal candidate will excel at helping HBP deliver innovative learning experiences while demonstrating both creativity and attention to detail.
What you'll do
- Collaborate with technical staff and product managers to strategize and build a next generation content recommendation engine and GenAI integration tools that offer personalized experiences.
- Contribute hands-on code and ensure product architecture is adaptable the changing needs of the business.
- Advise on how ML can affect other upstream (content development, content tagging, taxonomy) and downstream services (search, data storage, analytics). Develop high-level design specifications with particular attention to system integration and feasibility.
- Investigate new and developing technologies in the industry and determine how to leverage these new technologies in our software applications
- Build efficient and reliable data pipelines using behavioral data and analytics
- Participate in the design, development, and deployment to production of GenAI applications that use modern LLMs (OpenAI, Anthropic, etc.)
What you’ll bring
- 3-5+ years of proven experience in an ML/AI engineering role with a focus on GenAI, data analysis, and machine learning algorithms and models
- Practical experience in developing ML models using Python (knowledge of Java and Spring/Hibernate a huge plus)
- Experience with current LLMs (OpenAI, Anthropic, Llama)
- Hands-on working experience with RAG architectural approach
- Experience and understanding of application containerization and services (Docker, AWS ECS, AWS ECR)
- Experience applying system monitoring tools (e.g., New Relic, Splunk)
You’ll stand out if you have
- Experience with automated testing frameworks
- Experience deploying and optimizing production models built with common ML/AI libraries (e.g. scikit-learn, TensorFlow, PyTorch)
What we offer:
As a mission-driven global company, Harvard Business Publishing is committed to fostering a culture of inclusion, trust, and engagement where everyone is welcome, valued, respected, and feels they belong. In addition to a competitive compensation and benefits package, we offer meaningful programs focused on career development and employee wellness, such as education reimbursement and early-release Summer Fridays!
HBP is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, gender identity, sexual orientation, pregnancy and pregnancy-related conditions, or any other characteristic protected by law.
$120,000 - $150,000
Above is the annualized pay range for this position. In addition, this position includes the opportunity to earn our annual Performance Based Variable Pay Program. Actual salary will be set based upon a range of factors, including external benchmark market data, individual knowledge, skills, experience, location and internal equity.
Above is the annualized pay range for this position. In addition, this position includes the opportunity to earn our annual Performance Based Variable Pay Program. Actual salary will be set based upon a range of factors, including external benchmark market data, individual knowledge, skills, experience, location and internal equity.
Similar Jobs
What We Do
At Harvard Business Publishing, we believe in the power of leadership to inspire, to transform, and to advance the global good. We empower leaders with breakthrough ideas that solve problems, that elevate performance, and that unlock the leader in everyone. We help leaders move the world forward.
Harvard Business Publishing (HBP) was founded in 1994 as a not-for-profit, independent corporation that is an affiliate of Harvard Business School. We inform and inspire professionals, corporations, educators, and students around the world with the best in management thinking and practice. Through our articles, books, case studies, simulations, videos, learning programs, and digital tools, we reach thousands of organizations and millions of subscribers and social media followers.
With over 600 employees located in Boston (HQ), New York City, Australia, France, India, Mexico, the Netherlands, Singapore, the United Arab Emirates, and the United Kingdom, we serve as a bridge between academia and enterprises around the globe.
Our three market units—Education, Corporate Learning, and Harvard Business Review Group—produce a variety of media including print and digital (Harvard Business Review, Harvard Business Review Press books, Harvard Business School cases), events (participant-centered learning seminars, custom events, webinars), digital learning (Harvard ManageMentor, HMM Spark), blended learning, and campus experiences. Through these platforms, HBP is able to influence real-world change by maximizing the reach and impact of its essential offering—ideas.
Working at Harvard Business Publishing brings you into a global, dynamic organization that’s constantly discovering—new markets, new technologies and media platforms, and new groundbreaking ideas. You’ll find your co-workers intellectually curious and highly engaged. We collaborate. We experiment. We are always learning
