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Bosch Machine Learning Jobs (NOW HIRING)

PlusAI

Machine Learning Engineer Intern

Santa Clara, CA · On-site

$19 - $65/hr

... Group, Bosch, and DSV are working with Plus to accelerate the deployment of next-generation ... Machine Learning & NLP: Solid understanding of Large Language Models (LLMs), natural language ...

Bosch Group

Wireless Sensing Research Intern

Sunnyvale, CA · On-site

$32 - $69/hr

Experienced in using different machine learning libraries and tools (e.g. TensorFlow) * Strong C ... Bosch adheres to Federal, State, and Local laws regarding drug-testing. Employment is contingent ...

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$42.6K

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How much do bosch machine learning jobs pay per year?

As of May 29, 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 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.

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.

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Bosch Machine Learning jobs near you
Machine Learning Engineer Intern

Machine Learning Engineer Intern

PlusAI

Santa Clara, CA • On-site

$19 - $65/hr

Internship

Retirement

Posted 15 days ago

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.
Responsibilities:
  • Build an AI Assistant: Develop and deploy an internal AI chatbot that allows employees to query company knowledge and test results using natural language.
  • Implement RAG Architecture: Design and build a secure Retrieval-Augmented Generation (RAG) pipeline to pull contextual data from internal sources without compromising data privacy.
  • Develop Data Pipelines: Create automated pipelines to ingest, clean, and structure data from diverse sources, including internal documents, Slack conversations, and autonomous driving databases (bagdb, pluscene, and right-seater logs).
  • Fine-Tune Open-Source LLMs: Work with open-source models (such as Qwen) and fine-tune them to accurately understand and process company-specific terminology and AV testing metrics.
  • Generate Actionable Insights: Enable the system to synthesize complex data across simulation and road tests to answer questions about passing rates, test mileages, coverage gaps, and testing recommendations.

Required Skills:
  • Machine Learning & NLP: Solid understanding of Large Language Models (LLMs), natural language processing, and prompt engineering.
  • Python Programming: Strong proficiency in Python for machine learning workflows, scripting, and backend system integration.
  • Data Engineering Fundamentals: Experience building data extraction, transformation, and loading (ETL) pipelines, as well as handling both structured and unstructured data.
  • Familiarity with RAG: Core understanding of Retrieval-Augmented Generation workflows, text chunking, and vector embeddings.

Preferred Skills:
  • Open-Source LLM Experience: Hands-on experience deploying, fine-tuning, or quantizing open-source models (e.g., Qwen, LLaMA, Mistral) using frameworks like Hugging Face or vLLM.
  • Vector & Relational Databases: Experience working with vector databases (e.g., Milvus, Chroma, FAISS) as well as querying traditional SQL/NoSQL databases.
  • Autonomous Vehicle Domain Knowledge: Familiarity with autonomous driving data formats (e.g., ROS bags), simulation environments, or road testing metrics.
  • Chatbot Frameworks: Experience with LLM orchestration frameworks such as LangChain or LlamaIndex.
  • Data Security & Privacy: An understanding of best practices for deploying ML models locally or within secure, internally-hosted environments.

$19 - $65 an hour
Our internship hourly rates are a standard pay determined based on the position and your location, year in school, degree, 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. 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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