Job Description
Job Summary:
Coram AI is a rapidly growing company focused on building advanced AI video systems. They are seeking a Machine Learning Engineer to help scale their systems and ship new features, involving fine-tuning models, optimizing performance, and integrating them with user applications.
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:
Required:
• You should be a good software engineer who enjoys writing production-grade software.
• Strong machine learning fundamentals (linear algebra, probability and statistics, supervised and self-supervised learning)
• Keeping up with the latest in deep learning research, reading research papers, and familiarity with the latest developments in foundation models and LLMs
• Good understanding of docker and containerization
Preferred:
• Comfortable with productionzing a Pytorch model developed in C++, profiling the model for latency, finding bottlenecks, and optimizing them
• experience with Pytorch and Python3, and comfortable with C++
• Understanding of Torch script, ONNX runtime, TensorRT
• Understanding of half-precision inference and int8 quantization
Company:
Coram AI develops a video intelligence platform to provide businesses with insights into daily operations. Founded in 2021, the company is headquartered in Sunnyvale, California, USA, with a team of 51-200 employees. The company is currently Growth Stage. Coram AI has a track record of offering H1B sponsorships.