Machine Learning Intern

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! 🚀

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

• 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
• Interact with a small multidisciplinary team of ML engineers, robotics engineers, software platform developers, technical product managers, project managers, and SMEs

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.), applications in computer vision (image classification, object detection, semantic segmentation, keypoint detection, tracking, etc.), advanced training techniques (transfer learning, domain adaptation, few-shot learning, active learning, etc.)
• Strong proficiency and recent hands-on experience in Python, ML libraries (PyTorch, Tensorflow, Keras, scikit-learn, Huggingface, Weights & Biases, Tensorboard, etc.), standard data science libraries (numpy, pandas)
• Demonstrated ability to take ownership and execute projects in applied research and development related to machine learning and/or computer vision
• Strong technical communication skills
• An ability and willingness to work collaboratively in an industry research team and in a fast-paced startup environment

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 (cameras & image capture, image encoding & storage, image processing & filtering, 3D vision, feature extraction, etc.)
• 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.)
• Knowledge of ML Ops and best practices for production-grade ML model development

• 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.