Senior Machine Learning Engineer – Mercedes-Benz Research & Development North America

Full time in Vehicles & Autonomous Mobility
  • California, United States, Sunnyvale, California, United States View on Map
  • Post Date : January 31, 2022
  • Apply Before : May 1, 2022
  • View(s) 44
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Job Detail

  • Job ID 42047
  • Career Level Senior Executive
  • Gender All
  • Qualifications certificate
  • Language Requirement
  • Region North America
  • Other Classifications startup
  • Special Programs y-combinator
  • Remote No
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Job Description

Embedded in a worldwide network Mercedes-Benz Research & Development North America continuously strives to remain at the forefront of successful automotive research and development. MBRDNA is headquartered in Silicon Valley, California, with key areas of Autonomous Driving, Advanced Interaction Design, Digital User Experience, Machine Learning, Customer Research, and Open Innovation. In Redford, Michigan, the focus is on Powertrain and eDrive technology as well as in Long Beach, where the teams test durability of the latest driver assistant and telematic systems. The Digital Hub in Seattle focusses on developing a cloud architecture and building out the cloud platform for the next generation of connected car services. The Testing and Regulatory Affairs Division in Ann Arbor and the Advanced Vehicle Design in Carlsbad complete the competence center.
The data and AI team is seeking a hands-on machine learning expert for research, design, and development of cutting-edge technology applied in projects that will shape the future of Mercedes-Benz vehicles. In this role, you will be responsible for design, documentation, and presentation of novel machine learning techniques and applications, as well as guiding junior members to become experts. You will be working closely with the development team to support the product development as well as evaluation and proposal of algorithm adjustments to ameliorate undesired learning behavior.
 
Job Responsibilities:
 
Work in an Agile/Scrum environment to deliver high quality software with a measurable customer value
Lead research topics through multiple phases related to automotive machine learning solutions: experimentation and validation, proof of concept, tuning and constraint adjustment
Provide support and insight to development teams responsible for implementation of machine learning techniques in a native head unit environment
Present and demo research topics to Daimler internal groups, and at external events such as academic conferences and tradeshows
Define, interface and manage relationships with other teams within MBRDNA and Daimler organizations
Work closely with a proactive, highly motivated engineering team to bring next generation infotainment and telematics solutions to Mercedes-Benz products worldwide
 
Minimum Qualifications:
 
Bachelors, Computer Science, Electrical or Mechanical Engineering, Math, Statistics, or related fields
Strong programming and software development skills (Python/C++)
Hands-on experience with implementation, analysis and updating machine learning and AI algorithms in real world products
Deep understanding of machine learning fundamentals. Ability to keep up with the bleeding edge of research in the field, understand its ramifications, and immediately apply it to the betterment of our products
Ability to quickly and effectively diagnose issues, evaluate fixes, and propose solutions for statistical data analysis and machine learning techniques (e.g. Regression, Classification, Clustering, Time series, Deep learning)
Strong instincts for efficiency and optimization, with self-motivation to work with colleagues such that only high quality products reach customers’ hands.
Ability to collaborate effectively and pro-actively in cross functional development teams
Excellent communication, especially written, and organizational skills
Experience leading research topics through a full research pipeline: from concept to proof and validation
Very strong interest and passion in machine learning, data science and related fields
Extensive experience with ML frameworks such a PyTorch and Tensorflow
Understanding of ML workflow: preparing the data, implementing and training ML models, evaluating results, deploying inference on different platforms
Valid CA Driver’s License
 
Preferred Qualifications:
 
Distributed data processing in Hadoop, Spark, BigQuery, or Apache Beam
Distributed training
Experience in one or more of the following areas: Recommendation Systems, Natural Language Processing, Information retrieval and data mining, Bayesian inference and gaussian processes

 

 
 
Why should you apply?
 
Here at MBRDNA, you create digital ecosystems around cars, you design a language between humans and machines, you make a car even more intelligent you make the new reality for cars. Our benefits include medical, dental and vision insurance, 401k savings plan, tuition and fitness reimbursement programs and much more.  We have an open and flexible environment to allow you to push boundaries, join MBRDNA and design your future.
 
MBRDNA is an equal opportunity employer (EOE) and strongly supports diversity in the workforce.
 
MBRDNA only accepts resumes from approved agencies who have a valid Agency Agreement on file. Please do not forward resumes to our applicant tracking system, MBRDNA employees, or send to any MBRDNA location.  MBRDNA is not responsible for any fees or claims related to receipt of unsolicited resumes.

Thank you for your interest in Mercedes-Benz Research & Development North America. Please be aware the impact of COVID-19 could increase the amount of time it takes our HR and Hiring Team to process your application. We apologize for any inconvenience this may cause. We are dedicated to the health and safety of our employees and candidates. We appreciate your patience during this time.

Mercedes-Benz Research and Development North America, Inc.
 
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