The Company:

Faraday Future is a California mobility company bringing a tech approach to clean transportation. At FF, we believe that by placing equal emphasis on automotive and technology disciplines, our team of experts is uniquely positioned to take a user-centric, technology-first approach to vehicle design with the ultimate aim of connecting the automotive experience with the rest of your life.

Your Role:

·       TLDR: Use Stats, Machine Learning, Math and CS to help design the car and its sensors, gain insight into business decisions regarding sales & marketing, help create a seamless service experience and  model reliability.

·       Work in the IoV space to help develop the next generation of algorithms and methodologies that will power the connected vehicle.

·       Understand the consumer space to develop next generation customer sales and service models.

·       Utilize machine learning algorithms to help customize the car around around the user.

Basic Requirements:

·       Masters in Statistics, Biostatistics, Computer Science, Applied Mathematics or related field

·       Extensive experience with R and Python

·       Very familiar with Unix and high performance computing

·       Deep understanding of statistical modeling, regression, hypothesis testing, estimation, monte carlo simulation, MCMC, Bootstrapping, PCA.

·       Expertise in machine learning: Clustering, Random Forests, Neural Nets, SVM, Nearest Neighbors.

·       Experience with Spark, Hadoop & Other big data tools.

Preferred Requirements:

·       PhD in Statistics, Biostatistics, Computer Science, Applied Mathematics or related field.

·       Experience with Pig or Hive.

·       Experience with NLP and Sentiment Analysis.

·       Prior work history in the automotive industry.

·       EE or Hardware experience with sensors a plus.


·         Free, in house, catered lunch every day

·         Snacks and coffee available 24–7

·         Health, dental, and vision benefits

·         401(k)

·         Paid vacation time every year, plus a full week of paid time off between Christmas and New Year’s

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Confirmed 12 hours ago. Posted 30+ days ago.

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