AI Research Scientist – GenAI - job 1 of 2

As an AI Research Scientist at Bosch, you will conduct in-depth research on GenAI and Foundation Models to solve both academic and industrial challenges. You'll work closely with an international team to apply Bosch's innovations to AI products and services such as advanced driver assistance systems (ADAS) and AI agents. Your role will also involve staying updated on technological advancements through conferences and seminars, while offering insights to the management team that shape strategic planning and R&D directions.

To qualify for the AI Research Scientist role at Bosch, a Ph.D. in Computer Science, Engineering, or a related discipline is essential. Alternatively, a master's degree paired with at least 3 years of industry experience in GenAI and foundation models is also acceptable. Experience in deep learning is mandatory, with proficiency in programming languages like Python or C++. A strong publication record in top-tier conferences, such as NeurIPS or CVPR, is a plus.

Joining Bosch as an AI Research Scientist comes with numerous benefits, including a competitive salary range of $165,000 - $180,000, plus a comprehensive benefits package. This package includes health, dental, and vision coverage, a 401(K) retirement plan with employer matching, wellness programs, paid time off, parental leave, and more. This positions you well in both your career and personal life, enriching your overall experience.

Bosch is dedicated to the professional growth of its AI Research Scientists. The company encourages attending academic conferences and industry seminars to stay current with advancements and trends in AI technology. Furthermore, you'll have opportunities for extensive collaboration with leading research groups, allowing you to publish findings and strengthen your professional network.

Yes, having experience in product development is highly beneficial for the AI Research Scientist position at Bosch. Candidates with hands-on experience in developing consumer or enterprise AI solutions will have a strong advantage, as this role involves transferring research innovations into practical applications within Bosch's product lines.

In responding to this question, highlight specific projects where you have worked with foundation models, detailing your role and contributions. Discuss any notable results or publications that came from your work, and explain how you fine-tuned or trained the models to address challenges you encountered.

To answer this question effectively, mention various strategies you employ to stay informed, such as attending workshops, conferences, and actively participating in academic papers review. Discuss any online courses or communities you engage with to foster continuous learning, showcasing your commitment to professional development.

This is an opportunity to demonstrate your technical skills. List the programming languages you're experienced in, such as Python or C++, and specify the libraries you use in AI/NLP/CV projects, like TensorFlow, PyTorch, or OpenCV. Share examples of specific projects where you applied these skills.

Focus on a specific project that posed significant challenges. Detail the problem, your approach to addressing it, and the insights gained. Emphasize collaboration with team members and the impact of the project's outcome on your research goals or the industry at large.

Describe your methodology for documenting research, including tools or formats you use. Discuss the importance of communicating results with stakeholders and peers through presentations, research papers, or patents, and highlight any successful publications you've author.

In answering this question, provide specifics about your work related to autonomous driving. You might mention projects where you developed or improved algorithms for perception, decision-making, or control systems, showcasing your understanding of the technology.

Describe your experience collaborating with members from different disciplines. Emphasize the importance of communication, respect for diverse perspectives, and how you merge different skill sets to achieve a common goal.

Provide insights into your understanding of explainable AI. Discuss how it's relevant to building trust in AI applications, and share any experiences where you've implemented techniques that enhance transparency in model predictions.

Highlight your approach to effective prioritization, perhaps using frameworks like Agile or Kanban to manage research tasks. Discuss your techniques for balancing immediate tasks with long-term goals, ensuring that deadlines are met and project milestones achieved.

Select a project where you played a leadership role. Outline your responsibilities, the goals of the project, and the outcome. Emphasize how you led the team, managed obstacles, and facilitated collaboration to drive success.