(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:

As a member of the Enterprise Information Team, you will be working in a collaborative, dynamic, and creative environment at HBP. You will take the opportunity to be immersed in work across the organization, engage with and influence leaders, while solving some of HBP's most critical business issues.

The Machine Learning Engineer position is a key technical focal point for HBP's learning systems and dependent software engineering projects. This position is responsible for delivering enterprise-grade recommendations engine, LLM integrations, and other ML solutions for our Learning Products.

The Machine Learning Engineer will collaborate with data scientists and engineers and provide leadership in using machine learning techniques. A successful candidate will excel at helping HBP deliver innovative learning experiences while demonstrating both creativity and attention to detail.

What you'll do

• Work with the backend engineering practice and senior stakeholders on all the decisions and designs that drive the learning products and software solutions that affect the strategic direction of the company.
• Collaborate with technical staff and product managers to determine requirements and help us define and build our next generation content recommendation engine and GenAI integration tools that offer personalized experiences.
• Be involved in discussions 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.
• Contribute to many ML/AI related initiatives and systems at HBP over time.
• Communicate broadly all concepts and guidelines to the development teams and be able to translate technical concepts to a non-technical audience.
• Contribute hands-on code for this new service and ensure our product architecture is adaptable and evolves to meet the changing needs of the business.
• Research, develop, and implement high performance services for content recommendation and GenAI integration systems
• Regularly evaluate and recommend tools, technologies, and processes to support a portfolio of modeling engines designed for learning products
• Build extremely efficient and reliable data pipelines using behavioral data and analytics
• Investigate new and developing technologies in the industry and determine how to leverage these new technologies in our software applications
• Provide regular and timely written and verbal communication on progress and status
• Develop and implement strategies to handle ML/GenAI monitoring, including detection of model/data drift, model performance, and model consumption patterns
• Participate in the design, development, and deployment to production of GenAI applications that use modern LLMs (OpenAI, Anthropic, etc.)
• Troubleshoot code level problems quickly and efficiently

What you'll bring

• 7+ years of proven experience in an ML/AI architect 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 building applications that conform to high standards for security and data privacy
• Experience with common ML/AI libraries (e.g. scikit-learn, TensorFlow, PyTorch) and current LLMs (OpenAI, Anthropic, Llama)
• Hands-on working experience with RAG architectural approach
• An understanding of how state-of-the-art LLMs can be induced using both structured and unstructured data
• Experience and understanding of application containerization and services (Docker, AWS ECS, AWS ECR)
• Experience applying system monitoring tools (e.g., New Relic, Splunk)
• Experience with automated testing frameworks
• Excellent organizational, leadership, and communication skills and a sense of ownership and drive

You'll stand out if you have

• If you've worked with an online learning organization and have expertise in implementing ground-up recommenders for learning systems, we want to talk to you.

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 - $135,000

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.