Ford Motor Company Jobs – MLOps Engineer Autonomous

Website Ford Motor Company

Job Description:

The “Autonomous Vehicle Machine Learning Operations (ML-Ops)” position entails helping drive the AI/ML life cycle that will power the next generation of perception algorithms on Ford’s Autonomous Vehicles. The AV needs to understand its 3D environment and plan a safe path through it, whilst following the rules of the road. Perception tasks like drive-able surface estimation, lane detection and 3D object detection and tracking will be performed using LIDAR, camera and radar sensors. This will require a continuous cycle of data collection, labelling, neural network training, re-simulation, testing and then re-training/fine-tuning. Neural nets will be continuously modified and validated as and when new data comes in and new edge cases identified. Designing and engineering this ML-ops cycle will be key to increasing the pace of neural network model deployment.

Job Responsibilities:

  • You will develop and improve the existing tools for preprocessing the collected data for annotation and validate the data before annotation starts
  • You will develop tools and infrastructure to find and tag difficult cases for the perception algorithms to get those annotated and feed through the training process
  • You will work on developing automatic pre-annotation tools for object detection , tracking, and intent prediction
  • You will oversee LIDAR, camera and radar data collection on our fleet of AVs to develop perception algorithms and develop the requirements, plan, and strategies to collect a diverse, high quality dataset
  • You will develop a searchable database based on parameters such as scenario, location, time of day, maneuver type, etc.
  • You will work with the perception team to tune algorithms on the annotated dataset and conduct performance evaluations on the trained models
  • You will organize the Quality Assurance for verification of the labelled data

Qualification & Experience:

  • Experience working in a team-based project from inception to demonstration across multiple disciplines, e.g., hardware design and implementation, data acquisition and analysis, mathematical modeling, algorithm development, application implementation, etc.
  • Bachelor’s degree in Robotics, Electrical Engineering, or Computer Science.
  • Experience with training neural nets on a cloud-based ML service like AWS/Azure
  • Experience with neural network development in at least one of the following areas: monocular depth estimation, semantic segmentation and 3D object detection/classification using an ML framework like Tensor Flow / Keras / Pytorch.
  • 1+ years of experience developing a commercial CV/ML application (coursework/internship/co-op experience allowed).
  • Possess strong oral and written language skills.
  • Experience with multiple sensor systems that utilize a combination of LIDAR and cameras.

Job Details:

Company: Ford Motor Company

Vacancy Type:  Full Time

Job Location: Ann Arbor, MI, US

Application Deadline: N/A

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