Job Description

Are you ready to join Connecticut Innovation’s vibrant community of innovators? Connecticut Innovations (“CI”) is Connecticut’s strategic venture capital arm, and we are passionate about serving our portfolio of 220+ companies across various industries, with strengths in life sciences, technology, and climate tech.

Come join Noteworthy AI - Routine fleet operations. Extraordinary grid insights as a Machine Learning Engineer!

Noteworthy AI Overview

At Noteworthy AI, our mission is to improve the reliability, resiliency, and safety of the electric grid. Our vehicle-mounted cameras and AI help utilities and other grid operators increase their situational awareness of their assets while reducing costs. Our platform autonomously geolocates, photographs, and analyzes grid infrastructure as vehicles drive during routine operations, enabling more proactive grid management.

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

We plan to expand our office space in New Haven, CT, later this year to enable more in-person collaboration and expect this role to follow a hybrid schedule.

About You

You’re excited to roll up your sleeves at a fast-growing startup that is playing a critical role in helping to keep the electric grid energized and resilient.

You’re experienced with current deep learning technologies for 3D scene understanding in an academic or industry-research context. You’re experienced in software development and data-driven machine learning (ML).

You want to grow your career by working with a dynamic research team on cutting-edge applied AI research and development, contributing to novel ML research, and learning key skills for AI and ML engineering

Bonus points if you can…

• Adapt, solve problems, and quickly learn new skills
• Identify trade-offs between various technical challenges and business requirements
• Wear multiple hats and collaborate with a growing, diverse team
• Present and communicate technical topics to non-technical audiences

Responsibilities

• Apply state-of-the-art ML research in 3D scene understanding (depth estimation, point clouds, semantic segmentation, etc.) towards novel applications for electric grid asset inspection.
• Design and conduct experiments to develop cutting-edge models and algorithms.
• Lead the development cycle to turn novel prototypes into production-grade ML solutions, including data sourcing and annotation, training, evaluation, and deployment.
• Develop high-quality codebases and data pipelines to deploy new ML solutions at scale in a collaborative and test-driven approach.
• Iteratively design, improve, and adapt ML solutions to meet evolving customer outcomes.
• Interact with a small, multidisciplinary team of ML engineers, software engineers, product managers, and subject matter experts in the electrical utility industry.

Qualifications

• Master’s degree in Computer Science, Engineering, Mathematics, or a related field OR 3-5 years of related work experience.
• Academic and/or research experience in 3D scene understanding, including semantic segmentation, depth estimation, point cloud processing, perception, mapping, and/or 3D reconstruction.
• Demonstrated ability to write efficient and reliable software in Python following best practices in software design, testing, review, and documentation.
• Strong proficiency in writing domain-specific code in Python ML frameworks (e.g., PyTorch, TensorFlow, Hugging Face) and data analysis libraries (e.g., NumPy, Pandas, Matplotlib).
• Strong technical communication skills.
• Ability to collaborate and work effectively on complex software systems in a team setting.
• A growth mindset, a willingness to take ownership of your work, and an ability to adapt to the challenges of a fast-paced startup environment.

Preferred Qualifications

• Doctorate (PhD) degree in Computer Science, Engineering, Mathematics, or a related field OR 5+ years of related work experience.
• Experience and/or strong technical foundations in computer vision topics like image capture, encoding, filtering, structure-from-motion, 3D vision, and/or feature extraction.
• Experience and/or strong technical foundations in related ML topics like supervised learning, active/continual learning, domain transfer, image classification, object detection, object tracking, keypoint detection, and/or synthetic image generation.
• Experience with deployment and inference of ML models on embedded devices (i.e., NVIDIA Jetson), deployment optimizations such as quantization, pruning, low-rank adaptation, and/or platforms such as TensorRT.
• Knowledge of MLOps practices and experience building production-grade ML solutions.
• Experience working with AWS (S3, SageMaker, Lambda) or equivalent cloud platforms (Azure, GCP).

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

Location : This is a hybrid role. We prefer Connecticut-based candidates who can work from our office in New Haven several days per week.

Diversity, Equity and Inclusiveness

Noteworthy AI is committed to building an inclusive organization that reflects the diverse communities our team works to serve. We believe that diversity in all its forms (gender, race, ethnicity, age, sexual orientation, religion, veteran's status, disability and more) is essential to imagining and actively building a more just and sustainable future for all. We also actively promote diversity outside our organization, through the partnerships we enter into and the business decisions we make.

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