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Bosch Machine Learning information

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$25.5K

$42.6K

$88K

How much do bosch machine learning jobs pay per year?

As of Jun 30, 2026, the average yearly pay for bosch machine learning in the United States is $42,584.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,500.00 and $46,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Bosch Machine Learning Engineer, and why are they important?

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 the United States as of June 2026, with employment types broken down into 96% Full Time, 1% Temporary, 2% Contract, and 1% Nights. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $42,584 per year, or $20.5 per hour.
Senior/Staff Machine Learning Engineer, Planning

Senior/Staff Machine Learning Engineer, Planning

PlusAI

Santa Clara, CA • On-site

$130K - $220K/yr

Full-time

Retirement

Posted 2 days ago

Key responsibilities

  • Use complex map and perception sensor output to develop novel deep learning models for the planning stack.

  • Design critical safety checks to ensure driving trajectories are feasible and follow rules of the road.

  • Ensure all model development keeps a real-time focus and operates efficiently in compute-constrained environments.

Job description

PlusAI is a Physical AI company pioneering AI-based virtual driver software for factory-built autonomous trucks. Headquartered in Silicon Valley with operations in the United States and Europe, Plus was named by Fast Company as one of the World's Most Innovative Companies. Partners including TRATON GROUP's Scania, MAN, and International brands, Hyundai Motor Company, Iveco Group, Bosch, and DSV are working with Plus to accelerate the deployment of next-generation autonomous trucks. If you're ready to make a huge impact and drive the future of autonomy, Plus is looking for talented individuals to join its fast-growing teams.

We're looking for a machine learning engineer to train and deploy the latest generation of ML-based planning algorithms on the extensive data we collect every day across our autonomous trucking fleet.
 
Responsibilities
  • Use complex map and perception sensor output to develop novel deep learning models for our planning stack.
  • Design critical safety checks to ensure driving trajectories are feasible and follow rules of road.
  • Ensure all model development keeps a real-time focus and operates efficiently in compute-constrained environments.
  • Track and incorporate the latest multidisciplinary research advancements in a fast-moving field. 
  • Ensure that your work is performed in accordance with the company's Quality Management System (QMS) requirements and contribute to continuous improvement efforts.
  • Ensure that technical work meets customer requirements, regulatory standards, and company quality policies.
Required Skills
  • BS, MS, or PhD in Software, Robotics, or related field
  • 4+ years of machine learning engineering experience for robotics applications
  • Experience developing high-quality software from design and implementation to testing and deployment.
  • Expertise with Python, willingness to do some C++ development as needed.
  • Experience training with modern frameworks (e.g. PyTorch)
  • A rigorous approach to model development: running well-designed experiments, defining suitable training and validation datasets, and evaluating on the right metrics.
  • Hands-on familiarity with cloud data ingestion pipelines
  • Strong communication and collaborative skills
$130,000 - $220,000 a year
Our compensations (cash and equity) are determined based on the position, your location, qualifications, and experience.

Your opportunities joining PlusAI
Work, learn and grow in a highly future-oriented, innovative and dynamic field.
Wide range of opportunities for personal and professional development.
Catered free lunch, unlimited snacks and beverages.
Highly competitive salary and benefits package, including 401(k) plan.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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