Connected Vehicle Data Scientist
Employment Type : Full-Time
Connected Vehicle Data Scientist
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 tomorrow’s transportation.
Do you have what it takes to make smart vehicles for a smart world? Join the Ford Product Development team. Utilizing Design Thinking & User Experience methods, you’ll work to deliver breakthrough products and services that delight our customers. We’re seeking forward-thinking, laser-focused professionals with a passion for bringing innovative, exciting, and sustainable ideas to life. We have opportunities around the world for you to contribute to such advancements as autonomy, electrification, smart mobility technologies, and more!
What you’ll be able to do:
- Create end-to-end workflow for integrating various aspects of a ML-based solution architecture in a full design cycle that includes data preparation (including augmentation), model selection, robustness checks and model compression for deployment
- Develop through, self-learning and deep research, new mathematical formulations and learning architectures as may become necessary when dealing with atypical/new problem statements. This will often require the synthesis of ML/DL research problem statements in conjunction with SME’s and academia to seek out novel applications through re-purposing and/or discovery
- Partner with multidisciplinary teams within Research, Product Development, Manufacturing and other organizations to transform research solutions into practical product level embedded solutions
- Collaborate with application engineers to validate solutions against real-world application benchmarks for quality, robustness and continuous improvement
- Present at respected conferences and publish in high-impact peer reviewed journals
- Publish internally and engage in internal knowledge dissemination
The minimum requirements we seek:
- Master’s Degree in Mechanical Engineering or Transportation Engineering
- 3+ years of experience performing system analysis, designing, developing, programming, testing, and solving technical problems with major systems
- 2+years of academic research and/or industry experience developing AI/ML applications using R or Python and a common Deep Learning framework (TensorFlow, PyTorch, Keras, Caffe etc.)
- 2+years of academic research and/or industry experience working on large datasets and Big Data tools.
Our preferred requirements:- PhD in Transportation or Civil Engineering
- Experience with one or more cloud computing tools (e.g., AWS, Azure, Google Cloud, etc.)
- Software development and architecting experience creating ML pipelines at scale
- Experience with AutoML type frameworks
- Background implementing AI-ML algorithms on resource constrained edge devices such as on inferencing systems NVDIA(TX-), NXP (Tree-Runner) etc.
- Exceptional communication, teamwork and problem-solving skills
- Innovative thinker and quick learner with the ability to identify, propose and lead new research projects
- Passionate about staying abreast of challenges and exciting changes in ML and DL and their real time realizations for quickly establishing applicability to Ford engineering problems in order to build/contribute to the Ford’s strategic and leadership vision
What you’ll receive in return:
As part of the Ford family, you’ll enjoy competitive compensation and benefits as well as exciting opportunities for professional and personal growth and recognition.
If you have what it takes to help us redefine the future of mobility, we’d love to have you join us.
Join our team as we create tomorrow! We believe in putting people first, working together, and facing challenges head-on, because we’re Built Ford Tough. We’re one team striving to make people’s lives better while creating value, delivering excellence and ultimately going for the win.
Candidates for positions with Ford Motor Company must be legally authorized to work in the United States on a permanent basis. Verification of employment eligibility will be required at the time of hire.
Visa sponsorship is not available for this position.
Ford Motor Company is 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.