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Human-Assisted AI Research Engineer - job 1 of 4

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 (for example, human-assisted AI, natural language processing, robotics, 3D perception, and AI platform), 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, 3D Perception & Mixed Reality, Cloud Robotics, Data Science, AI Platform, Time-series Analysis. We develop scalable, intelligent, and trustworthy AIoT solutions to enable inspiring UX 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 IEEE VIS, TVCG, CVPR, NeurIPS, AAAI, ICML, SIGKDD, ICASSP, Interspeech, and IEEE Signal Processing Magazine.

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

  • Conduct research and engineering in Human-Assisted AI, including Explainable AI (XAI), human-in-the-loop AI agents, and Visual Analytics, to tackle academic and industrial challenges.
  • Apply research findings to real-world use cases, ensuring high-quality implementation and integration of resulting systems/software into existing Bosch platforms.
  • Develop full-stack solutions for Visual Analytics systems, ensuring smooth integration of front-end, back-end, and AI models.
  • Transform research PoCs into market-ready products and facilitate their deployment in cloud environments.
  • Collaborate with an international team of experts to leverage Bosch's in-house GenAI and Foundation Model innovations, as well as third-party solutions, for Bosch AI products and services, such as XAI Validation, ADAS, and AI agents.
  • Scout emerging technologies and forecast market trends by monitoring academic conferences, technical events, and seminars.
  • Offer expert opinions on relevant technology areas to the management team to facilitate strategic planning, R&D roadmap development, and business investments.
  • Document and disseminate research findings through high-quality publications and patent submissions. 

Qualifications

Basic Qualifications: 

  • Masters or Ph.D. in Computer Science or related fields.
  • 2+ years of relevant research experience or equivalent graduate research experience in Human-Assisted AI applications (e.g., Visual Analytics, Explainable AI, Foundation Models, LLMs, and AI Agents).
  • Proficiency in one or more programming languages commonly used in machine learning (e.g., Python, C++).

Preferred Qualifications: 

  • R&D experience in Visual Analytics, Explainable AI, LLM-based agents, task planning/decomposition, and reasoning.
  • Strong publication records in top venues of visualization, human-computer interaction, machine learning, deep learning, or computer vision (e.g. NeurIPS, ICML, CVPR, IJCV, AAAI, IEEE VIS, CHI and TVCG).
  • Familiarity with one or more mainstream machine learning libraries (e.g., PyTorch).
  • Familiarity with web application development and relevant frameworks (e.g., React, Angular, Vue).
  • Knowledge in backend web development tech stack (e.g., Flask, Django).
  • Understanding of continuous integration and continuous deployment (CI/CD) principles (e.g., Azure DevOps).
  • Experience with container orchestration platforms like Kubernetes.
  • Hands-on experience in the production of AI systems.
  • Good communication and teamwork skills.
  • Leadership skills to drive research topics. 

Additional Information

The U.S. base salary range for this full-time position is $ 165,000 - $ 200,000. Within the range, 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 Recruiter can share more details about the specific salary range for this position during the interview process.

Equal Opportunity Employer, including disability / veterans.  

*Bosch adheres to Federal, State, and Local laws regarding drug-testing. Employment is contingent upon the successful completion of a drug screen and background check. Candidates who have been offered the position must pass both screenings before their start date.

Average salary estimate

$182500 / YEARLY (est.)
min
max
$165000K
$200000K

If an employer mentions a salary or salary range on their job, we display it as an "Employer Estimate". If a job has no salary data, Rise displays an estimate if available.

What You Should Know About Human-Assisted AI Research Engineer, Bosch Group

At Bosch, we are excited to invite a passionate Human-Assisted AI Research Engineer to join our innovative team located in Sunnyvale, California. In this profound role, you'll engage in cutting-edge research and engineering to create transformative solutions in Human-Assisted AI. You'll explore areas such as Explainable AI (XAI) and Visual Analytics, advancing both academic research and industrial applications. Imagine applying your findings to real-world scenarios and integrating high-quality systems into our existing platforms! As a core member of our team, you will develop full-stack solutions, turning research prototypes into market-ready products that will add value to Bosch's diverse portfolio. If you're someone who thrives on collaboration, you’ll find an international team of experts ready to leverage Bosch's latest innovations and third-party technologies for AI products and services. Plus, you’ll have the opportunity to forecast market trends and share your expertise, contributing to strategic planning and R&D development. With an enviable environment that promotes creativity, work-life balance, and personal growth, Bosch is not just a workplace; it’s a community where your visions can shape technological advancements. If you're ready to evolve and celebrate successes, consider becoming one of us. Join Bosch in reshaping the future by creating high-quality technologies and services that inspire and enrich lives!

Frequently Asked Questions (FAQs) for Human-Assisted AI Research Engineer Role at Bosch Group
What are the key responsibilities of a Human-Assisted AI Research Engineer at Bosch?

As a Human-Assisted AI Research Engineer at Bosch, you'll be responsible for conducting high-impact research in Human-Assisted AI, focusing on areas like Explainable AI and Visual Analytics. You'll transform research findings into practical applications, create full-stack solutions, and collaborate with an international team to integrate these innovations into Bosch products. Your insights and expertise will be crucial in shaping future AI technologies, making this position vital in the company's mission.

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What qualifications are required for the Human-Assisted AI Research Engineer position at Bosch?

To qualify for the Human-Assisted AI Research Engineer role at Bosch, candidates should possess a Master's or Ph.D. in Computer Science or a related field, along with at least 2 years of relevant research experience. Proficiency in programming languages commonly used in machine learning, such as Python or C++, is essential. Experience in specific areas like Visual Analytics and a strong publication record are preferred to ensure seamless integration and innovative contributions to the team.

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What does the career growth look like for a Human-Assisted AI Research Engineer at Bosch?

At Bosch, the career growth for a Human-Assisted AI Research Engineer can be exceptionally fulfilling. With opportunities to lead research topics, collaborate with top-tier experts, and contribute to industry conferences, you will continually develop your expertise and influence the direction of AI technologies. The environment encourages innovation and values personal and professional development, positioning you for future leadership roles within the organization.

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How does Bosch support work-life balance for its Human-Assisted AI Research Engineers?

Bosch prioritizes work-life balance for its Human-Assisted AI Research Engineers by fostering a flexible work environment that respects individual lifestyles. The organization believes in creating a culture where employees can thrive both professionally and personally. Initiatives include flexible working hours, remote work options, and a supportive community that encourages personal growth, ensuring you can balance your career aspirations with your life outside of work.

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What makes Bosch a unique workplace for Human-Assisted AI Research Engineers?

Bosch stands out as a unique workplace for Human-Assisted AI Research Engineers due to its commitment to innovation, collaboration, and personal growth. With access to cutting-edge technologies and a team of experts from diverse backgrounds, you can work on impactful projects that shape the future of AI. Additionally, Bosch's emphasis on celebrating successes, nurturing creativity, and promoting a culture of inclusivity creates an inspiring environment for all employees.

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Common Interview Questions for Human-Assisted AI Research Engineer
Can you describe your experience with Explainable AI?

When asked about your experience with Explainable AI, be prepared to share any relevant projects you've worked on, specifically detailing the methodologies you used and the outcomes of those projects. Highlight your understanding of the importance of transparency in AI applications, and how your work has contributed to making AI systems more interpretable for end-users.

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How do you approach transforming research prototypes into market-ready products?

Discuss your process for taking research prototypes to market, including stages like validation, user testing, and collaboration with stakeholders. Emphasize the importance of feedback loops, iteration, and scalability in your development process. Mention any specific examples that showcase your ability to manage this transition effectively.

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What programming languages are you proficient in and how do they apply to Human-Assisted AI?

Clearly outline the programming languages you are skilled in, such as Python or C++, and discuss how these languages relate to Human-Assisted AI applications. Give specific examples of projects where you utilized these languages to develop AI models, integrating them into larger systems, and the impact of your contributions.

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What role does teamwork play in your research projects?

Highlight your belief in the value of teamwork in research, particularly how collaboration leads to more innovative solutions. Share examples of successful team projects, your role within those teams, and how collective efforts can amplify individual strengths in achieving research objectives.

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Can you explain a time when you had to communicate complex technical information?

When addressing this question, choose a situation where you had to present complex data or findings to a non-technical audience. Describe your approach to simplifying information, using visuals or analogies, and how you ensured understanding. This showcases not only your communication skills but the ability to bridge gaps between technical and non-technical stakeholders.

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How do you stay updated with the latest trends in AI and technology?

Discuss your engagement with professional groups, conferences, journals, and online resources related to AI and technology. Mention any specific platforms or repositories you follow and how continuous learning aids your work. This illustrates your commitment to staying relevant in a rapidly evolving field.

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What experience do you have with Visual Analytics in AI projects?

Detail your experience working with Visual Analytics, including tools and techniques used in your projects. Share examples that demonstrate your ability to create effective visualizations that enhance understanding of AI data, and how these visual insights contributed to driving project decisions.

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What strategies do you use for managing project timelines?

When asked this, explain your approach to project management, perhaps including tools you use for task tracking, setting milestones, and ensuring team accountability. Share specific methods you employ to keep projects on track while balancing quality and deadlines.

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Could you share a research challenge you faced and how you resolved it?

Choose a specific research challenge you've encountered, describing the context and obstacles. Discuss the strategies that you implemented to overcome these challenges and the subsequent outcomes, showcasing your problem-solving skills and resilience.

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How do you ensure the integrity and privacy of data used in AI systems?

Talk about the best practices you follow to maintain data integrity and privacy, such as adhering to ethical guidelines and company policies. Highlight any experience you may have had with data governance frameworks and your commitment to ethical AI development.

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Bosch is a global supplier of technology and services. Bosch specializes in consumer goods, industrial technology, and energy technology. It offers innovative solutions for smart homes, smart cities, connected mobility, and connected manufacturing...

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April 12, 2025

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