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Bosch Machine Learning Jobs in California (NOW HIRING)

Wireless Research Engineer

Sunnyvale, CA · On-site

$140K - $160K/yr

At Bosch, we shape the future by inventing high-quality technologies and services that spark ... Experienced in using different machine learning libraries and tools * Experience with wireless ...

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Bosch Machine Learning information

What is a Bosch machine learning engineer?

A Bosch Machine Learning Engineer is a professional who develops and implements machine learning models and algorithms for Bosch’s products and services. These engineers work on projects involving data analysis, pattern recognition, and artificial intelligence to improve automation, predictive maintenance, and smart features in Bosch's automotive, industrial, and consumer goods divisions. They collaborate with software developers, data scientists, and product teams to integrate intelligent solutions into real-world applications, ensuring efficiency and innovation across Bosch’s technology portfolio.

What are the key skills and qualifications needed to thrive as a Bosch machine learning engineer?

To thrive as a Bosch Machine Learning Engineer, you need a solid background in computer science, mathematics, and machine learning concepts, typically supported by a relevant degree. Familiarity with Python, TensorFlow, PyTorch, and Bosch-specific tools or platforms is commonly required, along with experience in deploying models on embedded or edge devices. Strong problem-solving skills, collaboration, and clear communication set candidates apart in this role. These skills and qualities are crucial for designing effective AI solutions that integrate seamlessly with Bosch's products and drive innovation.

What are some common challenges faced by machine learning engineers at Bosch, and how can applicants prepare for them?

Machine learning engineers at Bosch often work with large-scale, real-world datasets, which can be noisy and require significant preprocessing. Balancing the integration of new ML solutions into legacy industrial systems is another frequent challenge, demanding both technical proficiency and adaptability. To prepare, applicants should strengthen their skills in data cleaning, feature engineering, and deployment of models in production environments, as well as develop a solid understanding of Bosch’s domain-specific applications like manufacturing or automotive. Collaboration with multidisciplinary teams is also common, so strong communication skills are highly beneficial.

What is the difference between Bosch Machine Learning vs Bosch Data Scientist?

AspectBosch Machine LearningBosch Data Scientist
Required CredentialsDegree in Computer Science, Data Science, or related field; experience in ML algorithmsDegree in Statistics, Data Science, or related; strong programming skills
Work EnvironmentDeveloping ML models for products and automation systemsAnalyzing data, building predictive models, and providing insights
Employer & Industry UsageApplied in manufacturing, automotive, and IoT sectorsUsed across R&D, product development, and analytics teams

While both roles involve data and algorithms, Bosch Machine Learning focuses on developing and deploying machine learning models, whereas Bosch Data Scientists analyze data to generate insights and support decision-making. Both roles are integral to Bosch's innovation in technology and automation.

Infographic showing various Bosch Machine Learning job openings in California as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 74% Full Time, 22% Part Time, and 2% Contract. Highlights an 84% Physical, 2% Hybrid, and 14% Remote job distribution.

AI Research Scientist - Safety

Sunnyvale, CA • On-site

Bosch Group
Electrical Equipment, Appliance, and Component Manufacturing • 10K+ employees

Full-time

Medical, Life, Retirement, PTO

Posted 2 days ago

New


Bosch rating

7.4

Company rating: 7.4 out of 10

Based on 97 frontline employees who took The Breakroom Quiz


Job description

Company Description

The Bosch Research and Technology Center North America with offices in Sunnyvale, California, Pittsburgh, Pennsylvania, and Cambridge, Massachusetts is a part of the global Bosch Group (www.bosch.com), a company with over 70 billion euro revenue, 400,000 employees worldwide, a very diverse product portfolio, and a history spanning over 125 years. The Research and Technology Center North America (RTC-NA) is dedicated to providing technologies and system solutions for various Bosch business fields, primarily in the field of artificial intelligence, energy technologies, internet technologies, circuit design, semiconductors and wireless, as well as advanced MEMS design. 

As a part of the global research, our AI research in Silicon Valley focuses on Foundation Models, Big Data Visual Analytics, Explainable AI (XAI), Natural Language Processing, Computer Vision & Mixed Reality, Cloud Robotics, Data Science, AI System Engineering, Time-series Analysis. We develop scalable, intelligent, and trustworthy AIoT solutions for Bosch products and services in application areas such as automated driving, advanced driver assistance systems (ADAS), robotics, smart manufacturing, enterprise AI, health care, smart home and building solutions. 

Originating from the AI research in Silicon Valley, our Foundation Model Powered AI Enablers group plays a pivotal role in shaping the future of industrial AI experiences for Bosch products and services. By fusing cutting-edge machine learning, data analysis, and interactive visualization technologies, we research and develop scalable and transparent AI & big data analytic solutions (e.g., audio, images, sensor logs) for a range of domains, including Industry 4.0 (I4.0), IoT, autonomous driving, and connected vehicles. Our award-winning team (IEEE VIS best paper & best paper runner-ups) actively collaborates with leading academic and industry groups to advance research ideas and disseminate findings in top AI conferences and journals, such as CVPR, ICCV, ICRA, ECCV, NeurIPS, ICLR, TVCG, SIGGRAPH. 

We Are Bosch.

At Bosch, we shape the future by inventing high-quality technologies and services that spark enthusiasm and enrich people’s lives. Our areas of activity are every bit as diverse as our outstanding Bosch teams around the world. Their creativity is the key to innovation through connected living, mobility, or industry.

Let’s grow together, enjoy more, and inspire each other. Work #LikeABosch 

  • Reinvent yourself: At Bosch, you will evolve.
  • Discover new directions: At Bosch, you will find your place.
  • Balance your life: At Bosch, your job matches your lifestyle.
  • Celebrate success: At Bosch, we celebrate you.
  • Be yourself: At Bosch, we value values.
  • Shape tomorrow: At Bosch, you change lives.

Do you want beneficial technologies being shaped your ideas? Whether in the areas of mobility solutions, consumer goods, industrial technology or energy and building technology - with us, you will have the chance to improve quality of life all across the globe. Welcome to Bosch.

Job Description
  • Lead strategic research and engineering initiatives in AI safety, alignment, and model reliability, with direct application to ADAS feature releases and autonomous systems.
  • Advance generative world models, simulation frameworks, and physical reasoning techniques to evaluate complex driving edge cases and validate system behavior.
  • Collaborate with global R&D teams to seamlessly transfer cutting-edge safety frameworks and machine learning algorithms into operational platforms and production pipelines.
  • Implement rigorous safety validation, out-of-distribution (OOD) detection, failure mode analysis, and uncertainty estimation methods to ensure robust platform integration.
  • Monitor emerging developments in foundation models and safety alignment, representing the organization by presenting at top-tier conferences (e.g., NeurIPS, CVPR, ICLR, ICRA) and publishing high-impact research.
  • Provide expert technical counsel to senior leadership to guide strategic R&D roadmaps, investment decisions, and patent portfolio growth in trustworthy AI.
Qualifications

Basic Qualifications

  • Ph.D. in Computer Science, Machine Learning, Robotics, Artificial Intelligence, or a related quantitative field.
  • 3+ years of dedicated research experience (academic or industry) focusing on world models, generative dynamics, self-supervised learning, or physical reasoning for autonomous systems.
  • 2+ years of industrial R&D experience in creating, fine-tuning, and deploying large-scale machine learning models and safety-critical algorithms into production or testing environments.
  • Hands-on engineering proficiency in Python and deep learning frameworks (PyTorch or JAX).

Preferred Qualifications

  • Deep theoretical and practical expertise in AI safety techniques, including alignment, adversarial robustness, interpretability (XAI), failure mode analysis, and uncertainty quantification.
  • Strong low-level engineering experience with C++ and high-performance distributed training pipelines for system integration.
  • Proven track record of peer-reviewed publications in top-tier machine learning or robotics venues (e.g., NeurIPS, CVPR, ICCV, ECCV, ICLR, ICRA).
  • Demonstrated experience generating intellectual property and securing patent contributions in trustworthy AI or autonomous systems.

Additional Information

We offer a competitive base salary for this position with a range in US-California of --$165,000 - $185,000 along with an annual corporate bonus, and a long-term incentive bonus designed to reward sustained impact and contribution over time. Within the salary range, the individual pay is determined based on several factors, including, but not limited to, work experience and job knowledge, complexity of the role, job location, etc.

Your well-being matters at Bosch! We offer a a benefits package designed to empower you in every area of your life. This includes premium health coverage, a 401(k) with generous matching, resources for financial planning and goal setting, ample paid time off, parental leave, and comprehensive life and disability protection.  Your Recruiter can share more details for this position during the interview process.

Learn more about our full benefits offerings by visiting: https://www.myboschbenefits.com/public/welcome.

Equal Opportunity Employer, including disability / veterans.

#LI-JM1

Culture and Benefits | Bosch in the USA


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About Bosch

Sourced by ZipRecruiter

Bosch is a renowned multinational company based in Farmington Hills, Michigan. Associated with the industrial technology, consumer goods, and building technology sectors, Bosch is an iconic name in the global market. In addition to its high-quality product roster, which is chiefly characterized by home appliances, power tools, automotive parts, and smart home items, it offers unparalleled services in the realms of software and business process outsourcing. Founded by Robert Bosch in Stuttgart, Germany in 1886, the company has stayed true to its core values of superior quality and innovation.

Industry

Electrical equipment, appliance, and component manufacturing

Company size

10,000+ Employees

Headquarters location

Farmington Hills, MI, US