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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Machine Learning Engineer - **Company:** Cellanome, Inc. - **Location:** Sweet Home, OR, United States (Remote available) - **Experience:** Experienced - **Salary:** $160,000.0 - $215,000.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Algorithm Design, Data Analysis, Artificial Neural Networks, Computer Vision, C Sharp (Programming Language), C++ (Programming Language), Program Optimization, Computer Programming, Computer Engineering, Image Analysis, Convex Optimization, Data Cleansing, Software Debugging, Python (Programming Language), Machine Learning, Object Detection, Pattern Recognition, Tensorflow, Computational Geometry, Signal Processing, Smart Devices, Software Engineering, Systems Integration, Data Processing, Graphics Processing Unit (GPU), High Performance Computing, Pytorch, Deep Learning, Information Technology, Data Analytics, Dynamic Programming, Software Version Control - **Published:** May 27, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=be12269745421c0b ## About the Role Do you have experience in Version control systems?, Do you have a Master's degree?, * Typically requires a Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, Applied Mathematics, Physics, or a related technical field with 5+ years of relevant experience, or a Master's degree with 3+ years of relevant experience. * Experience developing, implementing, and validating algorithms for optimization, automation, sensing, data analysis, or image-processing applications. * Strong programming skills in Python with experience developing production-quality, maintainable, and well-documented code. * Solid understanding of software development fundamentals, including debugging, version control, testing, and code optimization. * Familiarity with AI/ML concepts and workflows, including data preprocessing, model training, evaluation, and deployment. * Experience with image analysis, computer vision, signal processing, or data-driven algorithm development. * Understanding of mathematical foundations relevant to algorithm development, including linear algebra, probability/statistics, optimization methods, and estimation theory. * Experience applying algorithmic techniques such as optimization, dynamic programming, numerical methods, or statistical modeling to solve engineering problems. * Familiarity with workflow automation, process optimization, or development of efficient data-processing pipelines. * Ability to analyze complex technical problems, evaluate tradeoffs, and develop scalable algorithmic solutions. * Excellent communication skills and ability to work independently and collaboratively in a multidisciplinary team environment., * Proficiency in C++, C#, or other high-performance programming languages for algorithm deployment and system integration. * Experience developing AI/ML algorithms for image analysis, pattern recognition, anomaly detection, or automated decision systems. * Advanced familiarity with modern computer vision and deep learning architectures, including Vision Transformers (ViTs), CNNs, object detection, segmentation, or multimodal AI models. * Experience with machine learning frameworks such as PyTorch, TensorFlow, or similar platforms. * Experience optimizing algorithms for performance, scalability, memory efficiency, or real-time execution. * Familiarity with optimization and estimation techniques such as convex optimization, Kalman filtering, Bayesian estimation, nonlinear optimization, or stochastic methods. ## Description * 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. ## Related Videos - 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