Harvard Business Publishing · 4 days ago
Machine Learning Engineer
United States
Full-time
Remote
Mid Level
$120K/yr - $150K/yr
3+ years exp
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Responsibilities
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.)
Qualification
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Required
3-5+ 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 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
Experience and understanding of application containerization and services (Docker, AWS ECS, AWS ECR)
Experience applying system monitoring tools (e.g., New Relic, Splunk)
Preferred
Experience with automated testing frameworks
Benefits
Education reimbursement
Early-release Summer Fridays
Company
Harvard Business Publishing
At Harvard Business Publishing, we believe in the power of leadership to inspire, to transform, and to advance the global good.
501-1,000 employees
Funding
Current Stage
Late StageLeadership Team
Kate Peter
Senior Director, Digital Center of Excellence (Head of CS)
Ken Griffin
Director, IT Operations and Services
Recent News
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