Senior Ml Ops Engineer

As one of the largest North American automotive suppliers, Bosch develops Driver Assistance functions like Adaptive Cruise Control (ACC), Predictive Emergency Brake Systems (PEBS), Lane Departure Warning/Keeping Systems (LDW, LKS), Predictive Pedestrian Protection, Road Sign recognition, head light control, Advanced Parking Assistance, and many more.

For these functions Bosch has all necessary sensors in our portfolio (e.g. radar, camera, ultrasonic sensors, ...).

In our offices in Plymouth, MI and Palo Alto, CA we develop state of the art systems as well as advanced features leading to partly/highly automated driving. Join us to become part of the exciting and growing field of Driver Assistance.

In our team we are developing the perception of the next generation of automatic parking systems. We are driving the development of the computer vision, ultrasonic sensor perception and creating the necessary SW to turn the sensor raw information into a vector space representation.

This vector space representation is the foundation for industry leading automatic parking functions. With our latest sensor generations, we have successfully introduced machine learning in our products. This was the first step on an exciting journey. There is a lot of opportunity ahead.

When you are the kind of person who combines a deep software engineering background with a we "can make it happen" let's have a more detailed chat.

• As a MLOps Engineer you will develop and operate machine learning pipelines. You will work with structured and unstructured data from our engineering and the customer fleet. Your main responsibility is to invent and develop the backbone of ML engineering for automotive applications.
• You will shape the future of automatic parking systems and establishing best practices for embedded AI projects.
• You take responsibility for setting up maintainable and reliable ML pipelines, on which our function developers train the models.
• As part of an agile team your ideas will be heard and impact the decision-making process. With our goal to invent for life, you will work on solutions that are both, innovative and ethical.
• You will collaborate with scientists, electrical engineers, machine learning engineers, and data engineers to have real world impact.
• Lifelong learning is crucial for long term success and we encourage you to stay current with latest research by visiting conferences and sharing your knowledge throughout the enterprise.

Basic Qualifications:

• Education: successfully completed Master's degree in Computer Science or other engineering discipline
• 3+ years experience with Linux skills, python, C++ and machine learning principles
• 3+ years experience in building and operating ML pipelines and data platforms in production,
• 3+ years experience in API design, distributed architectures and orchestration of micro services,

Preferred Qualifications:

• Experience with container-based deployments (e.g. Docker, Kubernetes),
• Experience deploying deep networks to a production environment, Model lifecycle management (e.g. MLflow) and workflow automation (e.g. Airflow),
• Experience with Cloud and cloud-hybrid solutions (e.g. Azure ML, Azure DevOps)
• Personality and Working Practice: motivating attitude, profound communication, strong interpersonal skills, structured and analytical

All your information will be kept confidential according to EEO guidelines.

By choice, we are committed to a diverse workforce - EOE/Protected Veteran/Disabled.

BOSCH is a proud supporter of STEM (Science, Technology, Engineering & Mathematics) Initiatives

FIRST Robotics (For Inspiration and Recognition of Science and Technology)

AWIM (A World In Motion)