Senior Machine Learning Engineer, Generative AI Products, HBS Foundry

3 days ago

Boston MA United States Littleducklingindy Full time

Position Description

HBS Foundry, created by Harvard Business School, is a cutting-edge digital platform dedicated to empowering entrepreneurs from underserved backgrounds. At the forefront of innovation, we leverage advanced AI technologies to create interactive tools that enhance the entrepreneurial journey. Our mission is to democratize access to the knowledge, tools, and resources necessary for entrepreneurs to address the world's most impactful venture opportunities. Join our dynamic team and help shape the future of entrepreneurship.

Your Role

We are seeking a talented Generative AI Engineer to join our team. In this role, you will design, develop, and deploy state-of-the-art generative AI models, directly impacting our platform's ability to provide interactive and intelligent tools for our users. As a Senior Machine Learning Engineer specializing in Generative AI applications, you will play a pivotal role in developing innovative generative AI products that support the HBS Foundry team and learners on our platform. This key technical role requires hands-on expertise across the full machine learning lifecycle. You will operationalize machine learning models in production and manage the lifecycle of artificial intelligence algorithms and tools across a variety of domains. The Foundry Team will support with domain knowledge.

Duties and Responsibilities:

AI Tool Development and Implementation
  • Designing, developing, deploying, and implementing multi-agent AI tools that:
    • Assess and provide feedback on venture-related submissions
    • Automatically generate pitch decks, financial projections, marketing strategies, and other materials to support entrepreneurs
    • Act as a counterparty to simulate important entrepreneurial interactions such as customer interviews, negotiations with an investor, etc.
  • Designing generative AI models using techniques like natural language processing and machine learning that can power interactive tools on HBS Foundry.
  • Designing an AI-powered system that collects key factors to determine a learner's profile, entrepreneurial progress, and venture progress, and provides customized learning pathways based on these factors.
  • Integrating AI tools into the HBS Foundry platform in a seamless manner so they are easy for users to access and utilize.
  • Building guardrails, compliance rules, and oversight workflows into the GenAI tools and Foundry platform.
  • Continually improving AI tools using feedback from users to ensure they are providing valuable assistance.
Project and Performance Management
  • Monitor, debug, track, and resolve production issues.
  • Work with the Foundry Project Director to ensure that projects proceed on time and on budget.
  • Collaborate with Product Managers to ensure proper tracking of performance KPIs and prioritize improvements based on effort and impact.
  • Presenting prototypes and progress updates to stakeholders.
  • Complete other responsibilities as assigned.
Research and Collaboration
  • Staying up to date on the latest advances in AI/ML research and identifying how new techniques could enhance the HBS Foundry platform.
  • Collaborating with a team of engineers, designers, and subject matter experts to deliver high-quality, helpful AI-powered experiences.
This role is responsible for other duties as assigned.

Basic Qualifications

  • Minimum of seven years' post-secondary education or relevant work experience

Additional Qualifications and Skills

Other Required Qualifications:
  • Bachelor's degree in mathematics, physics, computer science, engineering, statistics, or an equivalent technical discipline

Additional/Desired Qualifications:
  • Advanced degree in computer science, data science, engineering, or a related field within AI/ML or equivalent experience preferred
  • 3+ years of experience building (Generative) AI models and tools highly preferable
  • Experience working in a similar role in a startup environment preferable
  • Expertise in NLP, deep learning, and other relevant techniques
  • Passion for using AI to solve real-world problems
  • Strong programming skills in Python and frameworks like TensorFlow
  • Experience building advanced workflows such as retrieval augmented generation, model chaining, dynamic prompting, PEFT/SFT, etc. using Langchain and similar tools
  • Experience integrating AI into consumer-facing applications (front-end and back-end development for integrating AI solutions into web applications
  • Experience establishing model guardrails and developing bias detection and mitigation techniques for AI applications using tools (such as NeMo)
  • Experience with various embedding models and setting up and tuning vector databases to improve performance of semantic search and retrieval systems
  • Understand the underlying fundamentals of LLMs
  • Experience working with a variety of relational SQL and NoSQL databases, big data tools (such as Hadoop, Spark, Kafka), and at least one cloud provider solution (AWS highly preferable)
  • Experience in using version control systems such as Git.
  • Experience with containerization and orchestration tools like Docker and Kubernetes.
  • Experience with API development and integration for AI services.
  • Excellent communication and collaboration skills
  • Knowledge of data pipeline and workflow management tools.
  • Expertise in standard software engineering methodology, e.g., unit testing, test automation, continuous integration, code reviews, design documentation.

Additional Information

This is a hybrid position which we consider to be a combination of remote and onsite work at our Boston, MA based campus, with the expectation of 3 days per week on campus. Qualified candidates living and working outside of a 100-mile radius from campus and in states where Harvard is registered to do business (CA, CT, GA, IL, MA, MD, NH, NJ, NY, RA, VA, VT, WA) will be considered for a fully remote option.

We may conduct candidate interviews virtually (phone and/or via Zoom) and/or in-person for this role.

A cover letter is required to be considered for this opportunity.

Harvard Business School will not offer visa sponsorship for this opportunity.

Culture of Inclusion: The work and well-being of HBS is profoundly strengthened by the diversity of our network and our differences in background, culture, national origin, religion, sexual orientation, and life experiences. Explore more about HBS work culture here .

Benefits

We invite you to visit Harvard's Total Rewards website ( #J-18808-Ljbffr

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