CW AI Researcher for Mobility PhD

Tata Technologies; Mountain View (CA); On-site; USD 80,000 - 100,000; Full time

Benefits offered by this job

Medical insurance

Vision insurance

401(k)

Job summary

A leading technology firm in Mountain View is seeking an HR & Talent Acquisition Lead focused on developing innovative AI/ML solutions in the automotive domain. The ideal candidate holds a Ph.D. in a relevant field and has substantial research experience in Generative AI and Agentic AI. The position is full-time and offers benefits including medical insurance and a 401(k).

Qualifications

• Ph.D. in a relevant engineering discipline focusing on AI/Machine Learning.
• Research experience in Generative AI and Agentic AI.
• Proficient in Python and familiar with AI libraries.

Responsibilities

• Develop innovative AI/ML solutions for mobility services.
• Conduct applied research in Agentic AI.
• Identify research gaps and propose novel solutions.

Skills

AI/ML systems development

Generative AI

Agentic AI

AI safety and alignment

Python programming

Research and analysis

Education

Ph.D. in Computer Science or related field

Tools

TensorFlow

PyTorch

AutoGen

LangChain

Job description

HR & Talent Acquisition Lead at Tata Technologies (Hiring Engineering Talent in North America in Automotive domain)

Responsibilities:

• Developing innovative solutions that advance AI/ML systems for mobility services
• Conducting applied research in Agentic AI, including agent design, orchestration strategies, tool integration, and communication protocols
• Conducting research on AI safety and alignment topics
• Identifying research gaps and proposing novel solutions to enhance performance, reliability, and adaptability of agent-based systems
• Prototyping frameworks and algorithms in Python using tools such as AutoGen, LangChain, or custom orchestration layers

Qualifications:

• Ph.D. in Computer Science, Electrical Engineering, Mechanical Engineering, or a related engineering discipline with a focus on AI / Machine Learning
• Research experience in Generative AI, Agentic AI, and AI Safety and Alignment
• Research experience with Foundational (LLMs, VLMs, and other large-scale AI architectures), including fine-tuning, evaluation, and application to domain-specific tasks
• Proficient programming skills in Python and common libraries (e.g., TensorFlow, Pytorch, etc.)
• Ability to engage in general research activities such as defining problems and issues to be addressed, finding, and using research data, and being able to make recommendations and findings in writing and presentations

Seniority Level

• Entry level

Employment Type

• Full-time

Benefits

• Medical insurance
• Vision insurance
• 401(k)