Connected Vehicle Data Scientist

Key Skills

Apache Hadoop, C Programming, C++, Data science techniques, Java Programming, Machine learning techniques, MapReduce, Python Programming, PyTorch, R Programming, Scala Programming, SQL, TensorFlow

Job Description

Imagine a world of intelligent mobility and disruptive innovation. Over the past decade, wireless technologies, off-board systems and in-vehicle systems have fundamentally changed to perform limitless functions to deliver connected features helping commuters to make informed decisions about their next trip, providing infotainment and diagnostic information.

Even more exciting are the limitless possibilities on the road ahead for connected vehicles.

Enterprise Connectivity is a global team within Ford Mobility group responsible for architecture, systems engineering, development, validation, and the ongoing operations of connected vehicles, autonomous vehicles (AV), and electrification connectivity features.

What we do

We are the Advanced Engineering team within Enterprise Connectivity responsible for ideation, prototyping and developing a connectivity fabric for seamless delivery of connected features. We drive smart mobility business and technology innovation to aid Ford’s connectivity vision and growth strategies in new industry technologies, such as electrification and AV.

Responsibilities

• Research, design, implement, and deploy full-stack scalable computer vision, deep learning, and machine learning solutions to novel problems. 
• Develop and implement state-of-the-art computer vision algorithms for object detection, classification, segmentation, or recognition. 
• Work on structured and unstructured data and capable of breaking a larger problem into sizeable chunks to work on.
• Designing and developing NLP applications. Transforming natural language data into useful features using NLP techniques to feed classification algorithms.
• Build recommendation engines and focus on Recommendation and Predictive modelling.
• Expert in Customer Analytics for recommendation systems and modeling. support the national and international markets in the fields of user and customer analysis, recommendation systems.
• Apply advanced quantitative techniques and machine learning to solve business problems, communicate insights and actionable recommendations to customers
• 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:

• Bachelor’s Degree in Computer Science, Electrical Engineering, Math, or a related field
• 3 + years of experience performing system analysis, designing, developing, testing, and solving technical problems with major systems
• 2 + years of experience developing AI/ML applications using R or Python and a common Deep Learning framework (TensorFlow, PyTorch, Keras, Caffe etc.) (including internship/co-op/course work)
• 2+ years of experience working on large datasets and Big Data tools (Hadoop, Spark, Hive etc.). (including internship/co-op/course work)

Our Preferred Requirements:

• M.S. or Ph.D in Math, Electrical Engineering, or a related field
• 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.
• Skilled in techniques for voice recognition and audio event classification.
• 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

Visa sponsorship is available for this position.