Machine Learning Engineer

Posted 5 months agoViewed

💎 Seniority level: Middle, 3+ years

📍 Location: Detroit, Michigan, United States

💸 Salary: 77900 - 109000 USD per year

🔍 Industry: Vehicle security

🏢 Company: Canopy👥 101-250💰 $35,000,000 Series C 10 months agoAccounting CRM Billing Payments Document Management Project Management Software

⏳ Experience: 3+ years

🪄 Skills: PythonData AnalysisKerasMachine LearningNumpyPyTorchC++Data sciencePandasTensorflow

Requirements:

3+ years’ experience applying machine learning or statistical techniques in real-world scenarios, preferably in computer vision or audio domains.
Bachelor’s degree in Computer Science, Data Science, Engineering, or a related field.
Strong experience using Python and data/machine learning libraries like Keras/TensorFlow or PyTorch, numpy, scipy, Pandas.
Proficient in C++ and optimizing machine learning applications on edge hardware.
Command line proficiency, ideally in a Unix-based environment.
Basic knowledge of signal processing techniques.
Preferred: experience deploying models to edge hardware and familiarity with PyTorch, ONNX, model compression.

Responsibilities:

Use machine learning techniques to train, debug, and evaluate models for customer deliveries ranging from quick prototypes to full production-level models.
Perform exploratory data analysis on large sensory datasets (image, audio, radar) to better understand the problem domain.
Define and improve best practices of machine learning systems development, testing, and evaluation.
Collaborate with data collection teams, Data and MLOps engineers, and Quality Assurance to enhance the quality of datasets and pipelines.
Work with product managers to help integrate machine learning solutions and deliver the desired user experience.

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