Machine Learning Engineer

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