Job Description & Qualifications
At Ford Motor Company, we believe freedom of movement drives
human progress. We also believe in providing you with the freedom
to define and realize your dreams. With our incredible plans for
the future of mobility, we have a wide variety of opportunities for
you to accelerate your career potential as you help us define
This future is being created today by Ford's AV LLC team. This
fun, fast-moving, innovative group of highly skilled and motivated
people is looking for candidates to support research and
developmental efforts in producing fully autonomous vehicles (SAE
What you'll be able to do:
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
- 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
- You will develop and improve the existing tools for
preprocessing the collected data for annotation. You will also be
using these tools to provide data to the annotation stage
- You will organize the Quality Assurance for verification of the
- You will work with the perception team to tune algorithms on
the annotated dataset and conduct performance evaluations on the
- 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 develop a searchable database based on parameters such
as scenario, location, time of day, maneuver type, etc.
The minimum requirements we seek:
- Bachelor's degree in Robotics, Electrical Engineering, or
- 1+ years of experience developing a commercial CV/ML
application (coursework/internship/co-op experience allowed).
Our preferred requirements:
- Experience with training neural nets on a cloud-based ML
service like AWS/Azure
- 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,
- Experience with multiple sensor systems that utilize a
combination of LIDAR and cameras.
- 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.
- Possess strong oral and written language skills.
What you'll receive in return:
As part of the Ford family, you'll enjoy excellent compensation
and a comprehensive benefits package that includes generous PTO,
retirement, savings and stock investment plans, incentive
compensation and much more. You'll also experience exciting
opportunities for professional and personal growth and
If you have what it takes to help us redefine the future of
mobility, we'd love to have you join us.
Visa sponsorship available for this position.
We are an Equal Opportunity Employer committed to a culturally
diverse workforce. All qualified applicants will receive
consideration for employment without regard to race, religion,
color, age, sex, national origin, sexual orientation, gender
identity, disability status or protected veteran status.