Junior AI Engineer

Noun Systems Inc’s Technical Solutions division is hiring a Junior AI Engineer to help move machine learning work from the lab into real-world deployments. This role focuses on building and evaluating supervised learning and reinforcement learning models, along with the MLOps foundations required to operationalize them.

The position is based in Lexington, MA and is an onsite opportunity. The salary range is USD 70,000 - 125,000 per year, with a requirement of 1+ years of relevant experience and a bachelor’s degree in a STEM field.

What you’ll do

• Help identify and design training data sets for model development.
• Implement and customize machine learning models based on approaches from open literature.
• Develop and maintain MLOps pipelines to support model training and deployment workflows.
• Develop, train, and analyze models for both supervised learning and reinforcement learning.
• Visualize results and communicate findings through written documents and oral presentations.
• Support multiple teams and collaborate effectively with other teammates.
• Work across a variety of projects, including engagements with other data scientists and opportunities to help educate non-data-science teams on the value and limitations of ML solutions.

Requirements

• Bachelor’s degree in a STEM field.
• Academic, internship, or professional experience in AI development (including RL, XAI, LLM).
• 1-3 years of hands-on experience with deep learning models (supervised, unsupervised, and reinforcement learning) using PyTorch, Tensorflow, or Jax.
• Ability to possess or obtain an active Secret clearance.
• Hands-on experience with deep learning models and software development fundamentals in Python.
• Strong written and verbal communication skills.
• A team player who can work on a variety of machine learning projects as opportunities arise.

Tools and technologies

• Python, PyTorch, Tensorflow, Jax
• Secret clearance
• OpenAI Gymnasium, Ray RLlib
• PyTorch Lightning, Optuna, MLflow
• Git, Gitlab, CI/CD
• Docker

Benefits

• Competitive Wages*
• Medical, Rx, Dental & Vision Insurance
• Medical plan with Health Savings Account eligibility
• Company-funded Life, Short-Term & Long-Term Disability Insurance
• Personal Time Off, Vacation, and Paid Holidays
• 401(k) Retirement Plan
• Employee Stock Ownership Plan (ESOP)
• Flexible Spending Accounts
• Norton LifeLock
• Tuition Reimbursement
• Personal Development, Technical Learning Opportunities, & Lunch-n-Learns
• Corporate Sponsored Events & Community Outreach

Preferred qualifications

• Ability to write clean deep learning code in Python.
• Ability and mindset to approach problems with statistical rigor.
• Strong intellectual curiosity.
• Comfort with self-direction and ability to diagnose problems independently while working with top technical talent.
• Experience with time series data, satellite imagery, and graph neural networks.
• Experience with RL development using OpenAI Gymnasium and Ray RLlib.
• Experience with RL algorithms, including Q-Learning and Actor-Critic methods.
• Experience with MLOps tools (PyTorch Lightning, Optuna, MLflow, etc.).
• Experience with DevOps tools (Git, Gitlab, CI/CD, Remote Computing, Docker).