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Senior Artificial Intelligence Testing Jobs in Michigan

Senior Process Controls Engineer

Grand Rapids, MI ยท On-site

$93K - $122K/yr

Participate in system commissioning, field testing, troubleshooting, and optimization across ... artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing ...

Participate in system commissioning, field testing, troubleshooting, and optimization across ... artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing ...

Senior Process Controls Engineer

Grand Rapids, MI ยท On-site

$93K - $122K/yr

Participate in system commissioning, field testing, troubleshooting, and optimization across ... artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing ...

... data and artificial intelligence to realize the enterprise's known goals, reveal hidden ... Testing, validating and monitoring AI models in production scale to ensure reliability. * Research ...

... data and artificial intelligence to realize the enterprise's known goals, reveal hidden ... Testing, validating and monitoring AI models in production scale to ensure reliability. * Research ...

Showing results 21-40

Senior Artificial Intelligence Testing information

What is a senior artificial intelligence testing professional?

Senior Artificial Intelligence Testing professionals are experienced specialists responsible for designing, executing, and overseeing tests to ensure the quality, reliability, and ethical standards of AI systems. They develop test plans, create testing frameworks, and analyze AI model behaviors to identify errors, biases, or security vulnerabilities. They often collaborate with data scientists, engineers, and product managers to refine AI algorithms and ensure they perform as intended in real-world scenarios. Their role is critical in maintaining trust and safety in AI-driven products and services.

What skills and qualifications are needed to thrive as a senior artificial intelligence testing professional?

To thrive as a Senior Artificial Intelligence Testing professional, you need expertise in software testing methodologies, machine learning concepts, and proficiency in programming languages like Python, along with a degree in computer science or a related field. Familiarity with AI testing frameworks, automated testing tools (such as TensorFlow, PyTorch, Selenium), and relevant certifications (like ISTQB) is often required. Strong analytical thinking, attention to detail, and effective communication skills distinguish top performers in this role. These competencies are critical to ensuring the quality, reliability, and ethical integrity of AI systems in complex, real-world applications.

What are common challenges faced by senior artificial intelligence testing professionals, and how can they be addressed?

Senior Artificial Intelligence Testing professionals often encounter challenges such as ensuring the reliability of complex AI models, dealing with insufficient or biased data, and validating unpredictable outputs. Addressing these issues typically involves developing comprehensive test plans, employing advanced testing frameworks, and collaborating closely with data scientists and engineers. Regular communication with cross-functional teams and staying updated on the latest AI testing methodologies are also essential for overcoming these challenges and ensuring robust, ethical AI systems.

What is the difference between Senior Artificial Intelligence Testing vs Machine Learning Engineer?

AspectSenior Artificial Intelligence TestingMachine Learning Engineer
Required CredentialsBachelor's or Master's in CS, experience in AI testing toolsBachelor's or Master's in CS, strong programming skills, knowledge of ML frameworks
Work EnvironmentAI development teams, quality assurance, testing labsData science teams, software development environments, cloud platforms
Employer & Industry UsageTech companies, AI-focused firms, research institutionsTech companies, startups, research labs, AI product companies
Common Search & Comparison IntentUnderstanding testing roles in AI projectsDeveloping and deploying machine learning models

While Senior Artificial Intelligence Testing focuses on evaluating and validating AI systems for accuracy and reliability, Machine Learning Engineers design, build, and optimize machine learning models. Both roles require a strong background in computer science and AI, but their core responsibilities differ: testing emphasizes quality assurance, whereas engineering emphasizes model development and deployment.

How do I become a senior artificial intelligence testing?

To become a senior artificial intelligence testing professional, candidates typically need a strong background in computer science, machine learning, or related fields, along with experience in AI development and testing. Proficiency in programming languages like Python, knowledge of AI frameworks, and familiarity with testing tools are essential, often complemented by advanced degrees or certifications in AI or software testing. Progression usually involves gaining experience in AI projects, demonstrating leadership skills, and staying updated with emerging AI technologies and testing methodologies.

Is senior artificial intelligence testing a good career?

Senior artificial intelligence testing is a specialized role that involves evaluating AI systems for accuracy, reliability, and safety, often requiring skills in programming, data analysis, and understanding of machine learning models. It is a growing field with increasing demand as AI technologies expand across industries, offering opportunities for career advancement and specialization. The role typically requires experience, technical certifications, and knowledge of testing tools and frameworks.

What cities in Michigan are hiring for Senior Artificial Intelligence Testing jobs?

Cities in Michigan with the most Senior Artificial Intelligence Testing job openings:

Principal Machine Learning (ML)/ Artificial Intelligence (AI) Engineer- AI Cockpit

Bosch Group

Plymouth, MI โ€ข On-site

Full-time

Medical, Life, Retirement, PTO

Re-posted 13 days ago


Job description

Company Description

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.ย Work #LikeABosch

ย Reinvent yourself:ย At Bosch, you will evolve.
Discover new directions: At Bosch, you will find your place.
Balance your life:ย At Bosch, your job matches your lifestyle.
Celebrate success:ย At Bosch, we celebrate you.
Be yourself:ย At Bosch, we value values.
Shape tomorrow:ย At Bosch, you change lives.

Job Description

Role Overview

We are seeking a highly skilled Technical Lead / Architect to drive the design, development, and delivery of next-generation AI-powered smart cockpit solutions for Automotive. This role will lead the technical vision and execution of an intelligent, context-aware in-vehicle experience that transforms the cockpit into a proactive, personalized companion for drivers and passengers.

You will work at the intersection of AI, embedded systems, and automotive software, shaping scalable architectures while coordinating cross-functional teams to bring innovative cockpit experiences to production.

Key Responsibilities

  • Define and own the end-to-end architecture for AI-driven smart cockpit systems across hardware, middleware, and application layers
  • Lead design and implementation of AI/ML pipelines, model optimization, deployment, and lifecycle management
  • Architect multi-model/LLM orchestration and on-device model adaptation (fine-tuning, distillation) for edge automotive deployment, including model selection, routing, and inference optimization on GPU/NPU SoCs
  • Architect efficient edge AI execution, optimizing models for CPU/GPU/NPU (quantization, pruning, latency, power)
  • Design hybrid edge-cloud architectures for personalization, continuous learning, and scalable feature delivery
  • Integrate multimodal AI capabilities (voice, vision, sensor fusion) with real-time and safety-critical constraints
  • Establish robust data pipelines, telemetry, and feedback loops, enabling continuous model validation, performance monitoring, and iterative improvement of AI capabilities in production
  • Define the AI evaluation and observability framework, including model quality testing, regression checks, and production monitoring tied to release readiness
  • Drive technical program execution across architecture, AI, and integration workstreams - including planning, dependencies, risk management, milestone tracking, cross-functional coordination, and stakeholder communication - to ensure on-time, high-quality production readiness
Qualifications

Required Qualifications

  • Bachelor's or Master's degree in Computer Science, Artificial Intelligence, or a related field with 5+ years of experience in AI/ML-driven system development.
  • Strong hands-on expertise in machine learning, deep learning, and AI system design, with experience deploying models on edge, embedded, or automotive platforms.
  • Experience integrating AI and Generative AI/LLM-based capabilities into real-time, resource-constrained environments.
  • Strong knowledge of edge AI optimization techniques (quantization, pruning, distillation) and proficiency in Python and C++, along with experience in embedded AI lifecycle management, including OTA updates and fleet telemetry.
  • Hands-on experience with LLM/generative-AI orchestration and model fine-tuning/adaptation in real-time, resource-constrained environments.
  • Strong understanding of cloud platforms architecture and edge-cloud orchestration, and proven ability to lead cross-functional engineering teams.

Preferred Qualifications

  • Knowledge of automotive cockpit systems (voice assistants & personalization)
  • Experience with on-device voice pipelines (ASR/TTS) and inference-serving stacks on various SoC/processors
  • Exposure to user experience design for in-vehicle systems

Key Competencies

  • Strong technical leadership and architectural thinking
  • Ability to balance innovation with production readiness
  • Excellent communication and stakeholder management skills
  • Strategic mindset with hands-on execution capability
  • Passion for shaping the future of AI-defined vehicles

What You'll Work On

  • AI-powered assistants that understand driver intent and context
  • Personalized, self-learning cockpit experiences
  • Seamless integration of infotainment, productivity, and safety features
  • Next-gen human-machine interfaces (voice, gesture, multimodal AI)
Additional Information

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

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

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

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

AWIM (A Worldย Inย Motion)ย 

Equal Opportunity Employer, including disability / veteransย 

*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.ย 

Your well-being matters at Bosch! We offer a competitive compensation and a benefits package designed to empower you in every area of your life. This includes premium health coverage, a 401(k) with generous matching, resources for financial planning and goal setting, ample paid time off, parental leave, and comprehensive life and disability protection. We're investing in your success!

#LI- JM1