Machine Learning Engineer

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.