Senior Machine Learning Engineer

As a Senior Machine Learning Engineer, you will contribute to the development of cutting-edge AI solutions to combat vehicle and content theft, shape our AI roadmap, and mentor junior engineers.

Requirements

• 5+ years of professional experience developing and implementing ML for perception systems with expertise in at least one of either RADAR, camera, or LiDAR.
• Bachelor’s degree in Computer Science, Data Science, Engineering, or a related field.
• Expertise in Python with extensive experience in at least one deep learning framework (PyTorch or TensorFlow.
• Proven ability to develop production-grade ML applications for training, evaluation and inference on large-scale datasets.
• Experience creating C/C++ applications utilizing modern language features and build systems, preferably for porting ML inference applications from Python to edge devices/embedded systems.
• White-box understanding of classical ML algorithms (SVMs, HMMs, Decision Trees) and modern neural network models and architectures (CNNs, transformers) with significant experience applying them for perception systems.
• Experience implementing and applying dynamic object tracking, with experience using sensor fusion as a preference.
• Proficiency in Unix-based environments (Linux, macOS) including working with remote servers and services, virtual computers and clusters.
• Proficiency in signal processing techniques such as time/frequency-domain processing (e.g. Fourier Transform), filtering, and noise reduction.

Benefits

• Comprehensive medical benefits coverage, dental plans and vision coverage.
• Health care and dependent care spending accounts.
• Employee and Family Assistance Program (EAP).
• Employee discount programs.
• Retirement plan with a generous company match.
• Generous Paid Time Off, Sick, and Holidays
• Family Leave (Maternity, Paternity)
• Short- and long-term disability
• Life insurance and accidental death & dismemberment insurance