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Generative Ai Phd Jobs in Indiana (NOW HIRING)

PhD in Engineering, Chemistry, Computer Science,, Information Technology, Mathematics, Data Science ... Experience developing solutions in surrogate modelling, Generative AI, or Agentic AI * Excellent ...

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Generative Ai Phd information

What are the key skills and qualifications needed to thrive as a generative AI PhD?

To thrive as a Generative AI PhD, you need deep expertise in machine learning, mathematics, and computer science, typically supported by a doctoral degree in a related field. Proficiency with programming languages like Python, frameworks such as TensorFlow or PyTorch, and experience with large-scale data and cloud computing are essential. Strong research acumen, critical thinking, and the ability to clearly communicate complex ideas are vital soft skills for success in academic or industry settings. These skills drive innovative research, enable effective collaboration, and ensure impactful contributions to the rapidly evolving field of generative AI.

What are some common challenges faced when transitioning from academic research to an industry role as a generative AI PhD?

One common challenge is adapting to faster-paced project timelines, as industry work often emphasizes practical results and product integration over long-term theoretical exploration. Additionally, collaboration across multidisciplinary teams—including software engineers, product managers, and designers—requires strong communication skills to translate complex research into actionable solutions. Many new hires also find it necessary to balance advancing the state-of-the-art with addressing immediate business needs, which can shift the focus from pure research to more applied problem-solving.

What is a generative AI PhD?

A Generative AI PhD is a doctoral program focused on researching and developing artificial intelligence systems that can generate new content, such as text, images, music, or code. Students in this program study advanced machine learning techniques, including deep learning, neural networks, and probabilistic models. The goal is to push the boundaries of what AI can create, leading to innovations in fields like natural language processing, computer vision, and creative arts. Graduates often pursue careers in academia, research labs, or tech companies working on cutting-edge AI technologies.

What is the difference between Generative Ai Phd vs Machine Learning Engineer?

AspectGenerative Ai PhdMachine Learning Engineer
Required CredentialsPhD in AI, Computer Science, or related fieldBachelor's or Master's in CS, AI, or related field
Work EnvironmentResearch labs, academia, R&D departmentsTech companies, startups, industry projects
Employer & Industry UsageAcademic institutions, research firms, AI labsTech firms, software companies, AI product teams

Generative Ai Phds focus on advanced research, developing new models and theories in AI, often working in academic or research settings. Machine Learning Engineers implement AI models into products, working in industry environments to develop scalable solutions. While both roles require strong AI knowledge, the PhD emphasizes research depth, whereas the Engineer emphasizes application and deployment.

What job categories do people searching Generative Ai Phd jobs in Indiana look for? The top searched job categories for Generative Ai Phd jobs in Indiana are:
What cities in Indiana are hiring for Generative Ai Phd jobs? Cities in Indiana with the most Generative Ai Phd job openings:
Infographic showing various Generative Ai Phd job openings in Indiana as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution.

Machine Learning Engineer

Rolls-Royce

Indianapolis, IN • Hybrid

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 4 days ago


Rolls-Royce rating

9.0

Company rating: 9.0 out of 10

Based on 14 frontline employees who took The Breakroom Quiz

25th of 487 rated machine equipment manufacturers


Job description


Job Description

Job Title: Machine Learning Engineer

Working Pattern: Full-time

Working location: Indianapolis, IN (Hybrid Schedule/3 days onsite minimum)

We're looking for a Machine Learning Engineer to join our growing team. In this role, you will tackle exciting challenges in AI/ML, software development, and Data Science. You'll be part of a multi-disciplinary team, working together to tackle technical challenges in a stimulating and collaborative environment. In this role, your focus will be on building and deploying tools to deliver insights on Rolls-Royce products.

Why Rolls-Royce?

Rolls-Royce is one of the most enduring and iconic brands in the world and has been at the forefront of innovation for over a century. We design, build and service systems that provide critical power to customers where safety and reliability are paramount.

We are proud to be a force for progress, powering, protecting and connecting people everywhere.

We want to ensure that the excellence and ingenuity that has shaped our history continues into our future and we need people like you to come and join us on this journey.

Rolls-Royce has been recognized as the top employer in the Engineering & Manufacturing category on the prestigious Forbes Top Employers for Engineers list for 2025. This ranking highlights our commitment to innovation, employee development, and fostering a collaborative environment where engineers can thrive.

Be part of a team that sets the industry standard and drives groundbreaking solutions.

At Rolls-Royce, we are committed to creating a workplace where all employees feel respected, supported, and empowered to do their best work. We foster a welcoming and innovative work environment that invests in you, giving you access to an incredible breadth and depth of opportunities where you can grow your career and make a difference.

Rolls-Royce is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to any protected characteristics.

What you will be doing

With this attractive opportunity you will get a chance to:

Work with IT, and Rolls-Royce Fleet engineering teams address key opportunities for application of digital technologies providing optimal impact and value.
Understand, clean, and analyze large datasets from engine sensors, test rigs, and fleet operations.
Build, train, and validate machine learning models for tasks such as searching engineering knowledge, anomaly research, production support, and predictive maintenance.
Document your work clearly and present findings to both technical and non-technical audiences.

Who we're looking for:

At Rolls-Royce we put safety first, do the right thing, keep it simple and make a difference. These principles form the behaviours that guide us and are an essential component of our assessment process. They are the fundamental qualities that we seek for all roles.

Basic Requirements:

  • Bachelor's degree in Engineering, Chemistry, Computer Science, Information Technology, Mathematics, Data Science, Physics with 2+ years of machine learning experience; OR
  • Masters degree in Engineering, Chemistry, Computer Science, Information Technology, Mathematics, Data Science, Physics, OR
  • PhD in Engineering, Chemistry, Computer Science,, Information Technology, Mathematics, Data Science or Physics.
  • In order to be eligible for consideration, you must be a U.S. Citizen

Preferred Requirements:

  • 3+ years of machine learning experience
  • Experience in accelerating product design and delivering impactful digital products
  • Experience with modern software development methodologies and coding languages
  • Experience developing solutions in surrogate modelling, Generative AI, or Agentic AI
  • Excellent technical and soft skills including systems thinking aptitude, communications, time management, business acumen, and collaboration across multi-disciplinary teams.
  • Strong problem-solving instincts and the ability to work across disciplines with people who are not data or A.I. specialists but engineer and support mechanical systems.
  • Experience with mentoring and educating other members of the team. Actively learn, develop, apply, and share recently gained knowledge and skills in this face-paced and dynamic discipline.

What we offer

We offer excellent development opportunities, a competitive salary, and exceptional benefits. These include bonus, employee support assistance and employee discounts.

Your needs are as unique as you are. Hybrid working is a way in which our people can balance their time between the office, home, or another remote location. It's a locally managed and flexed informal discretionary arrangement.

As a minimum we're all expected to attend the workplace for collaboration and other specific reasons, on average three days per week.

For fully remote roles, employees can live in any state except Idaho, Nebraska, Nevada, Vermont, and Wyoming.

Relocation assistance is available for this position.

Grade Level: GG10

Closing date: 8/8/2026


Job Category
Mechanical Systems

Job Posting Date
04 Aug 2026; 00:08

Pay Range
$98,566 - $160,169-Annually


Location:

Indianapolis, IN


Benefits

Rolls-Royce provides a comprehensive and competitive Total Rewards package that includes base pay and a discretionary bonus plan. Eligible employees may have the opportunity to enroll in other benefits, including health, dental, vision, disability, life and accidental death & dismemberment insurance; a flexible spending account; a health savings account; a 401(k) retirement savings plan with a company match; Employee Assistance Program; Paid Time Off; certain paid holidays; paid parental and family care leave; tuition reimbursement; and a long-term incentive plan. The options available to an employee may vary depending on eligibility factors such as date of hire, employment type, and the applicability of collective bargaining agreements.


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