Company Description

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

We are looking for an accomplished student in the ML space with strong technical skills to work with us on the design, implementation, training and roll-out the next generation of AI-enabled triage and Forensics on large scale data from our robot fleets, a core component of the realization of self-driving vehicles. As an intern on the team, you will be working on all important aspects of the implementation, in order to enable our R&D teams.

Responsibilities include:

• Design, implement and roll-out important aspects of our state-of-the-art forensics tooling for robotics applications: data processing, model development, validation
• Work on data pipelines, model training and validation, and performance evaluation
• Support the integration and testing of our framework, as well as its continuous operation
• Continuously drive innovation by bringing the latest developments in academia to the table and evaluate them as potential candidate for implementation

Qualifications

Required:

• Currently enrolled in a Masters or PhD program
• Hands-on experience with Pytorch for model development, training and testing in a Linux environment
• Solid understanding of machine learning fundamentals and hands-on experience with training and fine-tuning models.
• Strong understanding of the machine learning lifecycle—from data preprocessing and model training to evaluation, deployment, and monitoring
• Experience with state-of-the-art model architectures, including transformers, CNNs, LSTMs, …
• Familiarity with raw data as well as meta-data management system (e.g. Databricks)
• Experience with machine learning platforms like Azure ML
• Usage of modern API frameworks
• Strong communication and team collaboration skills

Bonus points:

• Understanding of the technologies behind self-driving vehicles and/or general robotics
• Familiarity with agile working methodologies and tools (e.g. ADO)
• Ownership- and quality-driven

Additional Information

The U.S. base salary range for this full-time position is $45. 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.

In addition to your base salary, Bosch offers a comprehensive benefits package that includes health, dental, and vision plans; health savings accounts (HSA); flexible spending accounts; 401(K) retirement plans with an employer match; wellness programs; life insurance; short- and long-term disability insurance; paid time off; parental leave, adoption assistance; and reimbursement of education expenses.

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.

For more information on our culture and benefits, please visit:

Culture and Benefits | Bosch in the USA