Ford Motor Company Research Engineer – Advanced ML Methods in Dearborn, Michigan
Research Engineer – Advanced ML Methods
Job Description & Qualifications:
Core-AI-ML (Machine Learning) research group, within Research and Advanced Engineering, is orchestrating the process of discovery and democratization of AI-ML across all engineering function groups within the Ford product landscape. A critical aspect of this function is to not only help Ford stay ahead with the state-of-the-art in this constantly evolving field but also to explore opportunities and push the frontiers of the science of AI-ML in directions that build new and useful vectors of fundamental research leading to practical and useful products. In order to realize this vision, the Core-AI-ML research team, is looking for highly qualified and motivated candidates who are ready to tackle ambitious multi-functional problems that require discovery through fundamental research in directions that have so far received limited attention from the AI-ML community at large.
As part of the Core AI-ML team you will be responsible for conducting research for the purpose of advancing the state-of-the–art in the general area of Decision Making under uncertainty especially as it relates to MDPs, POMDP’s, Reinforcement Learning, around Multiagent-Multitasking environments such as human-robot interactions, Robotic manipulators and other robotic action and path planning problems. You will seek out innovative harmonies with concepts from control theory, Kalman Filtering, MDP, POMDP, Bayesian methods, Deep Learning etc. in defining new directions of research based knowledge creation. You will also work with practicing engineers in transferring these results into practical applications that help build product differentiation for Ford. In addition, you will also collaborate with leading researchers in academia and be active in publication generation and represent Ford at leading conferences such as CVPR, NeurIPS, ICRA, ICLR, etc.
Take the lead on companywide research and development of the state-of-the-art in methods for Decisions under uncertainty and Reinforcement Learning as they apply to various stochastic decision processes including but not limited to Robotics
Seek out innovative commonalities with concepts from control theory, Kalman Filtering, MDP, POMDP, Bayesian methods, Deep Learning etc. in crafting new directions of research
Conduct groundbreaking research that solves open and useful problems of high practical value to Ford
Partner with multidisciplinary teams within Research and Product development to transform research solutions into practical product level solutions
In collaboration with application engineers validate solutions against real-world application benchmarks for quality and robustness
Research and development of robust algorithms that meet customer requirements for a wide range of sophisticated global automotive applications
Research and development of algorithms that can be implemented in real-time but still handle sophisticated applications
Present and publish in reputed Conferences and high impact peer reviewed Journals
Publish internally and engage in internal knowledge dissemination through instructing, seminars as well as through any learning and development programs
Develop research portfolios, for internal research as well as with leading universities, that allow Ford to maintain a leadership position in the industry
Master’s Degree in Engineering, Computer Science or a Natural Science
1+ year of experience (working and/or academic) in developing and implementing control and planning solutions for Robotics applications
1+ year of experience (working and/or academic) in developing robotics simulations and working with ROS – Robotic Operating Systems
1+ year of experience (working and/or academic) in the use of Python and a common DL framework (TensorFlow, PyTorch, Keras, etc.)
PhD in Engineering, Computer Science or a Natural Science
Strong background in mathematics, statistics and probability theory as it pertains to the broad field of decisions under uncertainty, especially the area of Reinforcement Learning and its variants (deep-RL, IRL, Q-L, TDR etc) as well as in fundamental aspects of MDP, SDP, DP, Game theory, Bayesian methods, Monte Carlo schemes etc.
Experience with ROS, MuJoCo, Klamp’t or other robotic simulation and development platforms is a plus
Experience with human-robot interaction problems is a plus
Research level understanding of optimization and optimal control, including MPC and stochastic optimal control, adaptive control, etc.
Working level understanding of sophisticated machine learning techniques as it pertains to RL.
Proficiency in, Python and a common DL framework (TensorFlow, PyTorch, Keras etc) and/or Matlab/Simulink
Experience with embedded algorithms is a plus
Familiarity with the basics of computational intelligence, and evolutionary computing, is a plus
Experience with hardware (R-Pi, NVIDIA, NXP) implementation of advanced algorithms is a plus
Excellent problem solving skills, innovative thinking, and ability to identify, propose and lead new research projects that have a clear near or far benefit
Passionate about staying on top of large-scale challenges and ground-breaking changes in Robotics, Guidance, RL and ML especially as it pertains to decision making
Excellent written/oral communication skills
Proven track record to work well with others as part of a diverse distributed team
Join our team as we create tomorrow! We believe in putting people first, working together, and facing challenges head-on, because we are Built Ford Tough. We are 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, TN visa holders may be considered.
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.
Auto req ID:
Ford Motor Company
Scientific Research/Envir Engr
Research & Advanced Engineering (R&A)
Research & Advanced Engrg
Ford Motor Company
- Ford Motor Company Jobs