Cellanome

Machine Learning Engineer

• Design, develop, and optimize advanced algorithms for workflow automation, which include computer vision and computational geometry components.
• Develop signal-processing and image-analysis algorithms using classical methods as well as modern AI/ML approaches, including neural networks.
• Perform system-level analysis, simulation, and validation to ensure algorithm performance meets product requirements.
• Collaborate with cross-functional hardware, software, and product engineering teams to integrate algorithms into our broader software ecosystem.
• Optimize algorithms for deployment on edge devices, GPUs, and high-performance computing environments with considerations for latency, throughput, and memory efficiency.
• Create technical documentation, validation reports, and performance metrics to support product development and cross-team collaboration.