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Bosch Machine Learning Jobs in California (NOW HIRING)

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Bosch Machine Learning information

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 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.

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 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.

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Bosch Machine Learning jobs near you
Infographic showing various Bosch Machine Learning job openings in California as of August 2026, with employment types broken down into 1% As Needed, 74% Full Time, 21% Part Time, 2% Temporary, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

AI Research Scientist- World Model

Bosch Group

Sunnyvale, CA

Full-time

Medical, Life, Retirement, PTO

Re-posted 20 days ago

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, ourFoundation Model Powered AI Enablersgroup 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
Key Responsibilities:
  • Conduct research on GenAI and Foundation models (FM) to address academic and industrial challenges in ADAS AI domain such as 3D reconstruction, world model, map and localization, data curation and auto-labeling, etc.
  • Work with an international team of experts to transfer and apply the Bosch in-house GenAI / FM innovations and 3rd-party solutions to Bosch AI products and services, such as ADAS.
  • Stay abreast of the latest technological advancements and market trends by attending academic conferences, technical events, and seminars.
  • Offer expert insights to the management team in relevant technology sectors, aiding in strategic planning, R&D trajectory, and investment decisions.
  • Document and disseminate research findings through high-caliber publications and/or patent submissions.

Qualifications
Basic Qualifications
  • Ph.D. in Computer Science or Engineering, or a related discipline or master’s degree with 3+ years industry experience (GenAI and/or world model related) after graduation
  • 2+ years of research experience or equivalent graduate research experience on foundation models, including training, fine-tuning, and prompting
  • In-depth experiences in deep learning, with work in at least two of the following areas: diffusion models, 3D reconstruction, world models
  • Proficiency in one or more programming languages commonly used in systems research (e.g., Python, C++) and hands on experience with AI / NLP / CV libraries
  • Publication record in top venues including CVPR, ICCV, ECCV, ICRA, IROS, RSS, NeurIPS, AAAI, ACL, EMNLP, and CoRL
  • Strong interpersonal, communication, and teamwork capabilities

Preferred Qualifications
  • Strong background in math and statistics
  • 3+ years experiences in industrial research
  • Hands-on experience in product development in the above-mentioned areas for consumer/enterprise markets
  • Experience in leading R&D project & team dealing with international customers
  • Leadership skills with excellent English communication & teamwork skills

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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