As a Machine Learning Engineer on the Fulfillment team at Lyft, you will design, develop, and deploy advanced machine learning systems to enhance ride-sharing operations.
Machine Learning Software Engineer
📅 Mar 5, 2025
Machine LearningDeep LearningComputer VisionModel Optimization
📜 Description
- Implement model compression techniques such as quantization, pruning, and knowledge distillation to improve performance on low-power hardware.
- Deploy machine learning models on embedded platforms, including ARM, NVIDIA Jetson, and Qualcomm.
- Write clean, efficient, and well-documented code in Python and C++, leveraging ML frameworks like TensorFlow and PyTorch.
- Collaborate with cross-functional teams to integrate ML models into production systems, optimizing for latency and accuracy.
🛠️ Requirements
- Master’s or Ph.D. in Computer Science, Electrical Engineering, Machine Learning, or a related field.
- 5+ years of experience in machine learning, deep learning, and computer vision.
- Extensive experience in designing and deploying optimized deep learning models for real-world applications.
- Proficiency in TensorFlow, PyTorch, ONNX, TensorRT, and other ML frameworks.
- Strong experience with model quantization, pruning, knowledge distillation, and hardware acceleration techniques.
- Solid programming skills in Python and C++, with a strong understanding of software optimization.
- Familiarity with embedded platforms such as NVIDIA Jetson, Raspberry Pi, ARM Cortex, Qualcomm AI accelerators, or specialized AI chips.
- Experience with hardware-aware model optimization to maximize inference speed and minimize memory footprint.
- Strong problem-solving skills and ability to work independently on complex technical challenges.
- Experience with real-time SLAM, visual odometry, and multi-sensor fusion.
✨ Benefits
- Dental
- Vision
- Life insurance
- Flexible/reasonable vacation and sick leave
- 401(k) plans, FSA, HSA, and commuter benefits
- Design, develop, and optimize computer vision models for real-time applications on embedded systems.
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