At Coram AI, we’re reimagining video security for the modern world. Our cloud-native platform uses computer vision and AI to help businesses stay safe, make smarter decisions, and move faster; from real-time alerts to seamless clip sharing and multi-site visibility.

You’ll be joining a small, fast-moving team that values clarity, craftsmanship, and impact. Every person here has a voice, ships meaningful work, and helps shape how AI can make the world safer and more connected.

The role:

We’re seeking a Machine Learning Engineer to shape the core of Coram’s AI: turning data into intelligence that powers our platform in real time.

Responsibilities:

Take an existing open-source Pytorch model, fine tune, productionize them in C++ runtime, and optimize for latency and throughput
Take an open-source model and fine-tune them on our in-house data set as needed
Design thoughtful experiments in evaluating the tradeoffs between latency and accuracy on the end customer use case
Integrate the model with the downstream use case and fully own the end metrics
Maintain and improve all existing ML applications in the product
Read research papers and develop ideas on how they could be applied to video security use cases, and convert those ideas to working code

Qualifications:

Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, or a related field- advanced degrees are a plus
Strong software engineering skills with experience writing production-grade code
Solid machine learning fundamentals, including linear algebra, probability & statistics, and supervised/self-supervised learning
Awareness of the latest trends in deep learning, including foundation models and LLMs; ability to read and interpret research papers
Ability to thrive in challenging and fast-paced environments
Excellent communication skills (both written and verbal) in English with the ability to communicate effectively to all levels of employees
Ability to work in an onsite environment - we move quicker when we're in the same room

Nice-to-haves:

Familiarity with Docker and containerization for production deployments
Experience productionizing PyTorch models in C++, including profiling for latency, identifying bottlenecks, and optimizing performance
Strong Python3 and PyTorch experience; comfortable with C++
Knowledge of TorchScript, ONNX Runtime, or TensorRT
Understanding of half-precision inference and INT8 quantization

What we offer:

Competitive compensation package
100% Employer-paid medical, dental, vision, and base life insurance
Flexible paid time off and 9 paid holidays
401(k) with both Traditional and Roth options
Equity in a rapidly growing company
Referral bonuses
Daily team dinners and regular team off-sites to build connection and momentum
The latest Apple tech and unlimited tools so you can win

We're on a mission to transform a $50B+ legacy industry by bringing the power of cutting-edge multimodal LLMs and computer vision to real-world security and operations. From firearm detection to intelligent access control, our AI agents turn every camera and sensor into a smart system that enhances safety, efficiency, and awareness.

Founded by Ashesh Jain (ex-Lyft Level 5, PhD Cornell) and Peter Ondruska (ex-Lyft, PhD Oxford), Coram AI is backed by top-tier investors including Battery Ventures and 8VC, with over $30M raised to date. We were recently named to the CB Insights AI 100, recognizing the most promising AI companies globally. If you're excited to work on mission-critical AI that makes an impact in the real world, we’d love to meet you.

Compensation Range: $170K - $240K

Coram AI

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