Senior Machine Learning Engineer, Generative AI Products, HBS Foundry
Welcome to the HBS Foundry at Harvard University, a dynamic and innovative team dedicated to developing cutting-edge AI products that push the boundaries of technology and shape the future. We are currently seeking a highly skilled Senior Machine Learning Engineer to join our team and lead the development of our generative AI products. As a member of our team, you will have the opportunity to work alongside top researchers, engineers, and designers to create groundbreaking solutions that have a real impact on the world. If you are passionate about machine learning and thrive in a fast-paced, collaborative environment, we want to hear from you. Read on for more details on this exciting opportunity.
Lead the development of generative AI products within the HBS Foundry team.
Collaborate with top researchers, engineers, and designers to create cutting-edge solutions.
Stay up-to-date with the latest advancements in machine learning and incorporate them into product development.
Design, develop, and implement machine learning algorithms and models.
Optimize and improve existing algorithms and models to enhance product performance.
Conduct thorough testing and debugging to ensure product functionality and accuracy.
Manage and mentor junior members of the machine learning team.
Work closely with product managers to understand project requirements and prioritize tasks accordingly.
Communicate effectively with cross-functional teams to ensure smooth and efficient product development.
Continuously evaluate and improve processes and procedures related to machine learning development.
Stay current with industry trends and best practices in machine learning.
Participate in conferences, workshops, and other events to share knowledge and represent the HBS Foundry team.
Provide guidance and support to other team members as needed.
Collaborate with other departments and teams within the university to leverage resources and expertise.
Maintain a high level of professionalism and dedication to the team's goals and objectives.
Harvard University is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate based upon race, religion, color, national origin, sex, sexual orientation, gender identity, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.
Apply Now
Apply Now
Lead the development of generative AI products within the HBS Foundry team.
Collaborate with top researchers, engineers, and designers to create cutting-edge solutions.
Stay up-to-date with the latest advancements in machine learning and incorporate them into product development.
Design, develop, and implement machine learning algorithms and models.
Optimize and improve existing algorithms and models to enhance product performance.
Conduct thorough testing and debugging to ensure product functionality and accuracy.
Manage and mentor junior members of the machine learning team.
Work closely with product managers to understand project requirements and prioritize tasks accordingly.
Communicate effectively with cross-functional teams to ensure smooth and efficient product development.
Continuously evaluate and improve processes and procedures related to machine learning development.
Stay current with industry trends and best practices in machine learning.
Participate in conferences, workshops, and other events to share knowledge and represent the HBS Foundry team.
Provide guidance and support to other team members as needed.
Collaborate with other departments and teams within the university to leverage resources and expertise.
Maintain a high level of professionalism and dedication to the team's goals and objectives.
Harvard University is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate based upon race, religion, color, national origin, sex, sexual orientation, gender identity, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.
Apply Now
Apply Now