GenAI Engineer for Education Platform & Production ML

Harvard University; Boston (MA); Hybrid; USD 90,000 - 130,000; Full time

Benefits offered by this job

Generous paid time off

Medical, dental, and vision health insurance

Retirement plans with university contributions

Professional development opportunities

Job summary

Harvard University is seeking a Machine Learning and Generative AI Engineer to lead the development of innovative AI products. This role involves architecting GenAI applications and ensuring their compliance and safety.

The ideal candidate will have expertise in Python, SQL, and cloud environments, along with experience in machine learning. This is a hybrid position requiring on-site work at least three days a week.

Qualifications

• Minimum of five years’ post-secondary education or relevant work experience.
• Minimum of two to three years’ software development experience with Python and SQL.
• Minimum of two to three years of experience building and deploying NLP and deep learning model pipelines into a cloud environment.

Responsibilities

• Architect, build, maintain, and improve a suite of GenAI applications and their underlying systems.
• Automate machine learning pipelines and monitor performance.
• Work closely with data scientists to develop new product features.

Skills

Python

SQL

Machine Learning

Deep Learning

Natural Language Processing (NLP)

Data Analysis

Education

Bachelor's degree in mathematics, physics, computer science, engineering, statistics, or an equivalent technical discipline

Tools

PyTorch

TensorFlow

AWS

GCP

Azure

Airflow

Job description

Harvard University is seeking a Machine Learning and Generative AI Engineer to lead the development of innovative AI products. This role involves architecting GenAI applications and ensuring their compliance and safety.

The ideal candidate will have expertise in Python, SQL, and cloud environments, along with experience in machine learning. This is a hybrid position requiring on-site work at least three days a week.