Connecticut / Hybrid
Full Time

Machine Learning Intern

Designing, training and deploying novel machine learning models

About us

Noteworthy AI, a Techstars portfolio company, provides AI-powered asset inspection and inventory analysis solutions for energy distribution grid operators. The company's cloud-based software and computer vision solution, Inspect, reduces the need for dedicated distribution asset inspections and mitigates risk at-scale while reducing cost. The Inspect hardware sensors and AI edge processing arrays mount on existing fleet vehicles and automatically geolocate, inventory, and identify pole-top component defects while vehicles perform routine operations, reducing the need to mobilize dedicated inspection teams. Inspect improves on legacy processes by implementing a cutting edge AI-based solution that helps utilities increase efficiency and reduce cost through automation.

Simply put, we mitigate the risks associated with extreme weather and crumbling infrastructure - helping to keep the electric grid energized!

We’ve gained significant market traction, validation and support from customers like FirstEnergy Corp and Alabama Power, investors like Techstars and partners like Nvidia - so we are looking for great people to come and join our growing team! 🚀

About you

You are not afraid to roll up your sleeves to be an integral part of a fast-growing startup that is playing a critical role in helping to keep the electric grid energized and resilient against climate-related events.

You are seeking the opportunity to truly impact the company's success while building and delivering solutions that help not only our customers, but all users of the electric grid.

Bonus points if you also have:

  • An ability to adapt, solve problems and quickly learn new skills
  • An ability to identify trade-offs between various technical challenges and business requirements
  • Creativity, the ability to wear multiple hats and to collaborate with a growing, diverse team
  • Good presentation, communication and interpersonal skills

Job responsibilities

  • Lead the design and implementation of advanced machine learning (ML) models and techniques applied to critical vision-based infrastructure inspection. Projects may include:
    • Novel vision-based ML models: classification, object detection, segmentation, depth estimation, keypoint detection, graph estimation, tracking, and more
    • Advanced ML techniques to improve existing models: transfer learning, domain adaptation, synthetic data generation, active learning, continual learning, few-shot learning
    • Novel features on advanced ML pipelines and data engines: anomaly detection, semi-automated labeling, multi-task learning and parameter sharing
  • Contribute to improving and maintaining ML-related infrastructure, data pipelines, internal documentation, code & data standards and tooling


Minimum Qualifications

  • Bachelor's degree in Computer Science, Engineering, Mathematics, Statistics, or a related field
  • Experience and/or strong technical foundations in machine learning, supervised learning, optimization, neural networks (including CNNs, transformers, GNNs, etc.), and applications in computer vision (image classification, object detection, semantic segmentation, keypoint detection, tracking, etc.)
  • Strong proficiency and recent hands-on experience in Python, standard data science libraries (numpy, pandas), and one or more ML libraries (PyTorch, Tensorflow, Keras, scikit-learn, Huggingface, Weights & Biases, Tensorboard, etc.)
  • Demonstrated ability to take ownership and execute projects in applied research and development related to machine learning and/or computer vision

Preferred Qualifications

  • Master’s or Doctorate degree in Computer Science, Engineering, Mathematics, Statistics, or a related field
  • Published research and/or academic/industry partnerships in machine learning, computer vision, robotics, computer science or a related field. Peer-reviewed research in leading academic conferences and journals is particularly beneficial.
  • Experience and/or strong technical foundations in computer vision
  • Experience and/or strong technical foundations in advanced ML training techniques (transfer learning, domain adaptation, semi-supervised learning, etc.)
  • Knowledge of ML Ops, best practices for production-grade ML model development
  • Experience and/or knowledge of data science theory and practice including databases, SQL, designing efficient data pipelines, handling large volumes of data, generating compelling visualizations
  • Experience with Amazon Web Service (AWS) products (S3, Redshift, DynamoDB, Lambda, Sagemaker, etc.) or equivalent cloud services (Microsoft Azure, Google Cloud Platform, etc.)

What we offer

  • Competitive salary, equity, and benefits
  • Opportunity to make an impact with AI in the increasingly important energy sector
  • Professional development and leadership opportunities
  • Flexible work hours in a hybrid setting

In alignment with our core beliefs, Noteworthy AI is an equal opportunity employer (EOE) and all qualified applicants will receive consideration for employment without regard to race, color, religion, sexual orientation, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law.

Apply today

If this position looks like a good fit, we would love to hear from you! To apply, all you need to do is click the button below.

A checkmark
A checkmark
Cover letter
Apply now

Let's talk about how AI can transform the way you manage the distribution grid

Thank you! A member of our team will be in touch shortly.
Oops! Something went wrong while submitting the form.