Machine Learning Engineer

As an independent group of companies, the BMW Group has a commitment to creativity and breakthrough ideas that goes well beyond the racetrack. In order to continuously create ultimate driving machines, we drive our growth and design excellence by staffing our teams with individuals who are innovative and always looking for the next great idea. If you share our vision and view yourself as an independent, creative thinker, we invite you to join our team in this exceptional role located in Mountain View, CA.

WHAT AWAITS YOU.

• Explore and specify innovative AI-driven solutions, focusing on cutting-edge technologies like Machine Learning, Generative AI, and Large Language Models.
• Develop prototypes, Proof of Concepts (PoCs), and new functionalities to demonstrate feasibility and value of AI applications.
• Collaborate with internal teams and external partners to research, design, and evaluate novel AI solutions enhancing BMW's in-vehicle and mobility experience.
• Contribute to securing fundamental Intellectual Property Rights (IPR) relevant to future BMW products and services.
• Share insights and findings within the international research community to shape BMW's global AI strategy and influence future research directions.
• Scout emerging technologies and integrate advanced AI techniques into prototype systems and future system architectures.
• Support strategic decision-making by providing valuable insights, enabling understanding of AI technologies, and influencing R&D and Centers of Competence (CoCs).

WHAT YOU SHOULD BRING.

• Master's degree in electronics, computer science or related field.
• Proficiency in programming languages relevant to AI, Machine Learning and Application Development (e.g. Python, PyTorch / TensorFlow, LangChain, LangFlow, Kotlin or similar).
• Confident in presenting and defending technical solutions to internal and external teams.
• Excellent communication skills.
• Excellent problem-solving skills and ability to abstract and break down complex problems in manageable portions.
• Preferences:
  • Experience in building and running Cloud Applications (MLOps).
  • At least one year of relevant professional experience in the tech industry or a related field.

Relocation assistance is available for this position.

In support of BMW Group's business objectives, this position requires regular onsite attendance at a BMW office/facility with remote work capability (hybrid).

WHAT YOU CAN LOOK FORWARD TO.

• Medical, Dental, and Vision insurance
• 401(k) with Company match and Retirement Income Account
• Employee vehicle program
• Bonus eligibility
• Paid Parental Leave
• Generous PTO and Company paid holidays
• Voluntary Benefits to fit your needs

The expected salary range for this position is $162,031.00 - $224,937.50.

The selected candidate's education, skills, experience, and location will be used to determine the final salary offer. All pay ranges are based on a full-time work schedule. This statement is in accordance with state and local pay disclosure requirements.

As part of the hiring process, you may be required to successfully pass a background check. A satisfactory completion of a background investigation including verification of education, prior employment, criminal history, credit check history, and pre-employment drug screen to the extent permissible under applicable state law, is a condition of your offer of employment and your continued employment. The results of your background investigation are satisfactory and acceptable in the sole judgement and discretion of BMW Shared Services, LLC.

Even more so than the generous compensation and benefits, the culture and values of BMW of North America makes it the ultimate working environment. These values are Responsibility, Appreciation,
Transparency, Trust, and Openness. We allow these values to guide the way we conduct ourselves and our business.

BMW in the United States is an equal opportunity employer. It is the policy of BMW Group in the United States to provide equal employment opportunity (EEO) to all qualified persons regardless of age, race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status.