Job Summary:
Lead comprehensive applications/web development for highly complex projects; typically work as part of a team to implement complex business solutions. Deliver strategic and expert coding; focus on overarching development strategy for a large, complex, multi-faceted application. May manage a number of projects simultaneously.
We are seeking a talented Applied 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.
Job-Specific Responsibilities:
- Build trust and collaboration by being present on-site and engaging directly with colleagues and various constituents.
- Develop and train AI models: Create and train machine learning models and neural networks for tasks like data analysis, natural language processing, and computer vision.
- Implement and integrate AI: Write code to integrate AI functionality into existing software and ensure seamless deployment with other systems and APIs.
- Data preprocessing: Clean, prepare, and manage large datasets to be used for training and fine-tuning models.
- Optimize performance: Design and optimize machine learning algorithms for scalability and high performance and continuously monitor and test AI systems for improvement.
- Collaborate with teams: Work with data scientists, project managers, and other stakeholders to identify business needs and deliver AI solutions.
- Stay updated: Keep up with the latest advancements in AI technology, tools, and trends to ensure projects remain innovative.
- This role is responsible for other duties as assigned.
Basic Qualifications:
- Minimum of seven years’ post-secondary education or relevant work experience
- Education: A bachelor's degree in computer science, data science, or a related field is required.
- Programming: Strong proficiency in programming languages such as Python and Java.
- AI/ML Frameworks: Experience with AI frameworks like TensorFlow and PyTorch.
- Problem-solving: Strong analytical and logical thinking skills to tackle complex problems.
- Collaboration: Ability to work effectively with cross-functional teams.
- Cloud experience: Familiarity with cloud platforms is often beneficial.
- Appointment End Date: This position is approved as a term appointment with an end date of June 30, 2027. There is a possibility of renewal/extension.
- Standard Hours/Schedule: 40 hours per week
- Visa Sponsorship Information: Harvard University is unable to provide visa sponsorship for this position
- Pre-Employment Screening: Identity, Education, Criminal
- Other Information:
- This is a hybrid position which we consider to be a combination of remote and onsite work at our Boston, MA based campus. HBS expects all staff to be onsite a minimum of 3 days per week and departments provide onsite coverage Monday – Friday. Specific hours and days onsite will be determined by business needs and are subject to change with appropriate advanced notice.
- We may conduct candidate interviews virtually (phone and/or via Zoom) and/or in-person for this role
- As part of our evaluation, candidates are required to complete a Take Home Assignment after clearing Technical Recruiter Screen. This assignment will test your specific skills/knowledge areas relevant to the role.
- A cover letter is required to be considered for this opportunity.
Work Format Details
This position has been determined by school or unit leaders that some of the duties and responsibilities can be effectively performed at a non-Harvard location. The work schedule and location will be set by the department at its discretion and based upon operational needs. When not working at a Harvard or Harvard-designated location, employees in hybrid positions must work in a Harvard registered state in compliance with the University’s Policy on Employment Outside of Massachusetts. Additional details will be discussed during the interview process. Certain visa types and funding sources may limit work location. Individuals must meet work location sponsorship requirements prior to employment.
Salary Grade and Ranges
This position is salary grade level 059. Please visit Harvard's Salary Ranges to view the corresponding salary range and related information.
Benefits
Harvard offers a comprehensive benefits package that is designed to support a healthy work-life balance and your physical, mental and financial wellbeing. Because here, you are what matters. Our benefits include, but are not limited to:
- Generous paid time off including parental leave
- Medical, dental, and vision health insurance coverage starting on day one
- Retirement plans with university contributions
- Wellbeing and mental health resources
- Support for families and caregivers
- Professional development opportunities including tuition assistance and reimbursement
- Commuter benefits, discounts and campus perks
Learn more about these and additional benefits on our Benefits & Wellbeing Page.
EEO/Non-Discrimination Commitment Statement
Harvard University is committed to equal opportunity and non-discrimination. We seek talent from all parts of society and the world, and we strive to ensure everyone at Harvard thrives. Our differences help our community advance Harvard's academic purposes.
Harvard has an equal employment opportunity policy that outlines our commitment to prohibiting discrimination on the basis of race, ethnicity, color, national origin, sex, sexual orientation, gender identity, veteran status, religion, disability, or any other characteristic protected by law or identified in the university's non-discrimination policy. Harvard's equal employment opportunity policy and non-discrimination policy help all community members participate fully in work and campus life free from harassment and discrimination.
