Senior Data Scientist, Generative AI Engineer
3 weeks ago
We are seeking a talented Generative AI Engineer to join our team at Harvard University. As a Senior Data Scientist specializing in Generative AI applications, you will play a pivotal role in developing innovative generative AI products that support the Harvard Business School (HBS) Foundry team and learners on our platform.
Key Responsibilities:
Design and implement efficient data pipelines for data collection, cleaning, labeling, and preprocessing. Ensure quality of datasets tailored for LLM training for each product. Build data science pipelines from feature generation, data visualization, and models evaluation; design the solution, build code, and provide documentation with ways of working to maximize time to value, re-usability, and scalability.
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, and 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.
Requirements:
Minimum of seven years' post-secondary education or relevant work experience. Proficiency with various prompting techniques, with a clear understanding of tradeoffs between prompting and finetuning. Experience with finetuning embedding models and tuning vector databases to improve performance of semantic search and retrieval systems. Experience operationalizing end-to-end machine learning applications. Excellent communication and collaboration skills. Passion for using AI to solve real-world problems.
What We Offer:
Competitive salary and benefits package, including comprehensive medical, dental, and vision benefits, disability and life insurance programs, along with voluntary benefits. Paid Time Off: 3-4 weeks of accrued vacation time per year, 12 accrued sick days per year, 12.5 holidays plus a Winter Recess in December/January, 3 personal days per year (prorated based on date of hire), and up to 12 weeks of paid leave for new parents who are primary care givers. University-funded retirement plan with contributions from 5% to 15% of eligible compensation, based on age and earnings with full vesting after 3 years of service. Tuition Assistance Program: Competitive program including $40 per class at the Harvard Extension School and reduced tuition through other participating Harvard graduate schools. Tuition Reimbursement: Program that provides 75% to 90% reimbursement up to $5,250 per calendar year for eligible courses taken at other accredited institutions. Professional Development: Programs and classes at little or no cost, including through the Harvard Center for Workplace Development and LinkedIn Learning. Commuting and Transportation: Various commuter options handled through the Parking Office, including discounted parking, half-priced public transportation passes and pre-tax transit passes, biking benefits, and more. Harvard Facilities Access, Discounts and Perks: Access to Harvard athletic and fitness facilities, libraries, campus events, credit union, and more, as well as discounts to various types of services (legal, financial, etc.) and cultural and leisure activities throughout metro-Boston.
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