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Ai Researcher In Ethics Jobs in Michigan (NOW HIRING)

Key Responsibilities AI Research & Experimentation ... Research, develop, and prototype novel algorithms in computer vision, deep learning, and autonomous ...

AI/ML Senior Researcher

Warren, MI

$92K - $117K/yr

AI/ML Senior Researcher - Smart Manufacturing Systems Research Group Who We Are The Materials ... In addition, researchers are expected to develop a strong record of invention, publishing and ...

AI/ML Senior Researcher

Warren, MI · On-site

$92K - $117K/yr

AI/ML Senior Researcher - Smart Manufacturing Systems Research Group Who We Are The Materials ... In addition, researchers are expected to develop a strong record of invention, publishing and ...

As a Research Scientist Intern at Whiterabbit.ai, you will: * Play a key role in architecting the algorithms and models that will power our products * Train on a dedicated high-performance compute ...

As a Research Scientist Intern at Whiterabbit.ai, you will: * Play a key role in architecting the algorithms and models that will power our products * Train on a dedicated high-performance compute ...

As a Research Scientist Intern at Whiterabbit.ai, you will: * Play a key role in architecting the algorithms and models that will power our products * Train on a dedicated high-performance compute ...

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Ai Researcher In Ethics information

How do I become an AI researcher in ethics?

To become an AI researcher in ethics, you typically need a strong background in computer science, philosophy, or related fields, often holding a master's or doctoral degree. Developing expertise in machine learning, data analysis, and ethical frameworks, along with experience using programming languages like Python, is essential. Engaging in research projects, publishing papers, and staying informed about AI policy and societal impacts are also important steps.

What is the difference between Ai Researcher In Ethics vs Ai Researcher In Fairness?

AspectAi Researcher In EthicsAi Researcher In Fairness
Required CredentialsAdvanced degrees in AI, ethics, philosophy, or related fieldsAdvanced degrees in AI, machine learning, data science, or related fields
Work EnvironmentResearch labs, academia, industry ethics teamsTech companies, research institutions, industry teams
Industry UsageFocus on ethical implications, societal impact, policyFocus on algorithmic bias, equitable outcomes, fairness metrics
Common Search IntentUnderstanding ethical considerations in AI developmentAddressing bias and fairness in AI systems

While both roles involve AI research, Ai Researcher In Ethics emphasizes ethical principles, societal impact, and policy considerations. In contrast, Ai Researcher In Fairness concentrates on reducing bias and ensuring equitable outcomes in AI systems. Both roles often collaborate but focus on different aspects of responsible AI development.

What are the key skills and qualifications needed to thrive as an AI researcher in ethics?

To thrive as an AI Researcher in Ethics, you need a strong background in computer science, philosophy, or related fields, often supported by advanced degrees and a solid understanding of both AI technologies and ethical frameworks. Familiarity with programming languages (like Python), machine learning libraries, and ethical AI assessment tools is typically required. Outstanding analytical thinking, communication skills, and interdisciplinary collaboration make someone stand out in this position. These skills and qualities are crucial to ensure the responsible development and deployment of AI systems that align with societal values and mitigate potential harms.

What are some common challenges faced by AI researchers in ethics when collaborating with technical development teams?

AI Researchers in Ethics often encounter challenges when bridging the gap between ethical considerations and technical implementation. One common issue is translating broad ethical principles into specific, actionable guidelines that developers can apply to algorithms and data practices. Additionally, balancing innovation with responsible AI use requires ongoing dialogue, as priorities may differ between ethics and engineering teams. Effective communication and interdisciplinary collaboration are key to ensuring that ethical standards are integrated throughout the AI development lifecycle.

What is an AI researcher in ethics?

AI researchers in ethics are professionals who study and address the ethical implications of artificial intelligence technologies. They analyze how AI impacts society, including issues like bias, privacy, transparency, and accountability. Their work involves developing guidelines, frameworks, and recommendations to ensure responsible AI development and deployment. These researchers often collaborate with technologists, policymakers, and organizations to promote fairness and prevent harm. Their goal is to make sure AI systems benefit society while minimizing potential risks.

Is AI researcher in ethics a good career?

AI researchers in ethics focus on developing guidelines and frameworks to ensure artificial intelligence is aligned with societal values and safety. The field offers growing opportunities due to increasing AI adoption and the need for ethical oversight, often requiring strong analytical skills and knowledge of AI technologies. It can be a rewarding career for those interested in technology, philosophy, and policy development.
What job categories do people searching Ai Researcher In Ethics jobs in Michigan look for? The top searched job categories for Ai Researcher In Ethics jobs in Michigan are:
What cities in Michigan are hiring for Ai Researcher In Ethics jobs? Cities in Michigan with the most Ai Researcher In Ethics job openings:

Tata Consultancy Services rating

6.5

Company rating: 6.5 out of 10

Based on 21 frontline employees who took The Breakroom Quiz

173rd of 223 rated it services


Job description

About the Role

As an AI Researcher for Computer Vision & Autonomous Robots at TCS, you’ll work on the frontier of applied artificial intelligence, where perception meets physical intelligence. This role is designed for bright, curious, and self-driven graduates who aspire to build the next generation of intelligent robotic systems - capable of seeing, reasoning, and acting autonomously in the physical world.

You will collaborate with interdisciplinary teams of researchers, data scientists, and roboticists to explore, prototype, and implement computer vision and machine learning algorithms that power autonomous robots, humanoids, and intelligent machines. From visual perception and SLAM to multimodal sensor fusion and reinforcement learning, you’ll be pushing the boundaries of what machines can perceive and do.

If you are passionate about AI, robotics, and human–machine collaboration and want to shape how intelligent systems interact with the world - this is your launchpad.

Key Responsibilities

AI Research & Experimentation

  • Research, develop, and prototype novel algorithms in computer vision, deep learning, and autonomous systems.
  • Work on topics such as object detection, pose estimation, scene understanding, 3D reconstruction, and sensor fusion.
  • Contribute to building perception pipelines for autonomous mobile robots (AMRs), humanoids, and collaborative robotic systems.

Development & Implementation

  • Design, train, and optimize deep neural networks using frameworks such as PyTorch or TensorFlow.
  • Develop real-time perception and decision systems using ROS, OpenCV, and NVIDIA Jetson/Isaac SDKs.
  • Implement algorithms for navigation, path planning, and control integration.

Collaboration & Innovation

  • Partner with cross-functional teams in AI, robotics, and systems engineering to co-create innovative prototypes.
  • Participate in TCS research initiatives, innovation challenges, and client-facing proof-of-concept demonstrations.
  • Contribute to whitepapers, patents, and internal publications advancing TCS’s thought leadership in AI and robotics.

Continuous Learning & Experimentation

  • Stay current with advances in AI, robotics, and multimodal learning from academia and industry.
  • Experiment with new architectures (e.g., Vision Transformers, Diffusion Models, Agentic AI frameworks).
  • Test and benchmark algorithms on physical robot platforms and simulation environments (e.g., Gazebo, Isaac Sim).

Required Qualifications & Skills

Educational Background:

  • Master’s or Ph. D in Computer Science, Robotics, Electrical/Electronics Engineering, Mechatronics, or AI/ML from a recognized institution.
  • Strong academic foundation in machine learning, image processing, linear algebra, and probability.

What Tata Consultancy Services employees say

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Benefits

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Workplace

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About Tata Consultancy Services

Sourced by ZipRecruiter

Tata Consultancy Services is an IT services, consulting and business solutions organization that delivers real results to global business, ensuring a level of certainty no other firm can match. TCS offers a consulting-led, integrated portfolio of IT, BPO, infrastructure, engineering, and assurance services. This is delivered through its unique Global Network Delivery Model™, recognized as the benchmark of excellence in software development. TCS delivers a level of certainty that no other firm can match--to our clients and to our employees. Come join us and experience certainty in your career. TCS a global Consulting and IT Services firm that is ranked in the top quartile by industry analysts. Our 2021 fiscal revenues topped $25 B and our market capitalization is over $170+B, yet we have a deep and large history of philanthropy and corporate social responsibility. Now approaching 600K of the best IT professionals and consultants, we are a trusted advisor, guiding our clients' enterprises through growth and transformation journeys - helping them to become agile, intelligent, automated and on the cloud. We are devoted to DEI and are recognized as a top employer and place to work.

Industry

It services

Company size

10,000+ Employees

Headquarters location

Edison, NJ, US