Machine Learning Engineer I

What To Bring With You

• Bachelor of Science Degree in Computer Science, Computer Engineering, Electrical Engineering or other scientific or engineering discipline.
• Completed course work or specialization in Machine Learning and/or Data Science.
• Demonstrated experience applying fundamental machine learning algorithms and techniques in a non-coursework setting (e.g. unsupervised or supervised learning, classification/regression, dimensionality reduction, model optimization).
• Demonstrated experience with machine learning and AI methods such as CNNS, transformers, or computer vision.
• Proficient developing and debugging code in Python.
• Proficiency in Python, with extensive experience in common libraries (NumPy, pandas, scikit-learn, Matplotlib, etc.).
• Proficiency with at least one deep learning framework (e.g. PyTorch or Tensor Flow).
• Sold mathematical foundation in statistics, linear algebra, calculus and optimization.
• Able to travel up to 10% of the time (domestic and international).

Tools Preferred

• Master’s degree or PhD in Machine Learning or related field.
• At least one year of hands-on experience applying machine learning principles and algorithms involving embedded systems, edge computing, signal processing or a related field.
• Experience with time series modelling, especially with related domains such as NLP, SLAM, forecasting, or audio/video processing.
• Proficient developing and debugging code in an embedded environment in a programming language such as C or C++.
• Experience working with modern software development tools and version control tools.

What We Provide

• Robust health, dental and vision insurance plans.
• Generous 401 (K) savings plan.
• Educational assistance.
• On-site wellness, fitness center, food, and coffee service.
• And many more, check out our benefits site HERE.