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Ai Research Engineer Jobs in Indiana (NOW HIRING)

Description The AI Engineer is Lasting Change's first dedicated AI role, joining an established ... Stay current with developments in AI research and tooling; evaluate and introduce new capabilities ...

The AI Engineer is Lasting Change's first dedicated AI role, joining an established Data ... Stay current with developments in AI research and tooling; evaluate and introduce new capabilities ...

Principal AI Systems Engineer

Auburn, IN · On-site +1

$170K - $190K/yr

An AI research role * A pure ML modeling role * A prompt engineering role * A people management role * A speculative innovation lab What You Will Build The Operating Layer Our internal AI operating ...

Principal AI Systems Engineer

Auburn, IN · On-site

$170K - $190K/yr

An AI research role * A pure ML modeling role * A prompt engineering role * A people management role * A speculative innovation lab What You Will Build The Operating Layer Our internal AI operating ...

We combine deep AI research expertise with the scale and operational excellence of Splunk and Cisco's global engineering capabilities. Our work spans networking, security, observability, and customer ...

AI Engineer

Carmel, IN · On-site

$152K - $177K/yr

MISO is hiring an AI Engineer to build innovative AI-powered solutions that directly influence how ... S. and through use of groundbreaking research and advanced technology, our highly skilled employees ...

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Showing results 1-20

Ai Research Engineer information

See Indiana salary details

$35.2K

$100.9K

$135.6K

How much do ai research engineer jobs pay per year?

As of Aug 7, 2026, the average yearly pay for ai research engineer in Indiana is $100,877.00, according to ZipRecruiter salary data. Most workers in this role earn between $99,000.00 and $99,000.00 per year, depending on experience, location, and employer.

What does an AI Research Engineer do?

An AI Research Engineer designs, develops, and tests artificial intelligence models and algorithms. They work on advancing the state-of-the-art in machine learning, deep learning, and related fields, often collaborating with data scientists and software engineers. Their responsibilities typically include experimenting with new approaches, implementing prototypes, publishing research findings, and helping to integrate AI solutions into products or services. The role requires strong programming skills, a deep understanding of mathematics and statistics, and the ability to keep up with rapid advancements in AI technology.

What are the key skills and qualifications needed to thrive as an AI Research Engineer?

To thrive as an AI Research Engineer, you need strong expertise in mathematics, machine learning algorithms, programming (especially Python), and typically a graduate degree in computer science or a related field. Familiarity with deep learning frameworks like TensorFlow or PyTorch, experience using large datasets, and sometimes knowledge of cloud computing platforms are commonly required. Creativity, problem-solving abilities, and effective collaboration are crucial soft skills that distinguish top performers in this role. These skills and qualities are essential for developing innovative AI models, solving complex research problems, and contributing impactful solutions in a rapidly evolving field.

What are some common challenges AI Research Engineers face when transitioning research models into production environments?

AI Research Engineers often encounter challenges when moving models from research to production, such as ensuring scalability, optimizing for real-world data variability, and maintaining model performance under resource constraints. Additionally, integrating research models with existing systems and workflows can require close collaboration with software engineers and data engineers. Addressing issues like reproducibility, monitoring, and model retraining is crucial for long-term success in production settings. Proactive communication and a strong understanding of both research and engineering principles help overcome these hurdles.

What is the difference between Ai Research Engineer vs Data Scientist?

AspectAi Research EngineerData Scientist
Required CredentialsDegree in Computer Science, AI, or related fields; experience with machine learning frameworksDegree in Statistics, Computer Science, or related fields; strong analytical skills
Work EnvironmentResearch labs, AI development teams, tech companiesBusiness analytics teams, data-driven companies, consulting firms
Employer & Industry UsageTech companies, research institutions, AI startupsFinance, healthcare, marketing, e-commerce
Common Search & Comparison IntentUnderstanding roles in AI research and developmentAnalyzing data to inform business decisions

While both roles involve working with data and algorithms, Ai Research Engineers focus on developing new AI models and advancing AI technology, often in research settings. Data Scientists analyze and interpret complex data to help organizations make strategic decisions. The roles overlap in skills like programming and machine learning, but their primary goals and work environments differ.

How much do AI research engineers make?

AI research engineers typically earn between $100,000 and $150,000 annually, with salaries increasing based on experience, education, and location. Senior roles or those with specialized skills in deep learning, natural language processing, or machine learning frameworks can earn higher salaries, often exceeding $200,000.
What are popular job titles related to Ai Research Engineer jobs in Indiana? For Ai Research Engineer jobs in Indiana, the most frequently searched job titles are:
What job categories do people searching Ai Research Engineer jobs in Indiana look for? The top searched job categories for Ai Research Engineer jobs in Indiana are:
Infographic showing various Ai Research Engineer job openings in Indiana as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $100,877 per year, or $48.5 per hour.

Applied Research Engineer

Salesforce, Inc.

Indianapolis, IN • On-site

Full-time

Medical, Dental, Vision, Life, Retirement

Re-posted 29 days ago


Salesforce rating

8.1

Company rating: 8.1 out of 10

Based on 58 frontline employees who took The Breakroom Quiz

113th of 242 rated software companies


Job description

To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts.

Job Category

Software Engineering

Job Details

About Salesforce

Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn't a buzzword - it's a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all.

Ready to level-up your career at the company leading workforce transformation in the agentic era? You're in the right place! Agentforce is the future of AI, and you are the future of Salesforce.

About the Team

Salesforce AI is looking for talented software and platform engineers to embed in our AI team to bridge the gap between frontier AI technology and customer-facing reality. Do you want to build and deploy the next generation of services leveraging Generative AI and Agentic Systems? Do you thrive in an environment where your engineering skills directly enable world-class research and products used by millions?

At Salesforce, we are driving the development of Generative AI for CRM, focused on delivering AI-created content across every customer interaction at hyper-scale. This role is crucial to transforming our research breakthroughs into stable, secure, and production-ready applications.

The Research Engineering team works directly alongside Research Scientists to bring models to life. This position is dedicated to a high-impact systems role, providing the best of both worlds: deep technical challenge and massive, real-world scale. We believe that building substantive, scalable infrastructure is what enables scientific breakthroughs to spawn entirely new applications.

Learn more about our work at salesforceairesearch.com.

What You'll Do

  • Work alongside other motivated and talented research

  • engineers to bring cutting-edge theory into customer-facing practice.

  • Build tools and pipelines to support ML and AI efforts.

  • Design, build, deploy, and maintain production services, like APIs, UIs, agentic evaluators, and more.

  • Roll out scalable cloud architectures.

  • Help with end-user requirements gathering and executive presentations.


What We're Looking For

  • Strong abilities with Python and Linux, and some with React.

  • Experience with production cloud deployments like AWS or GCP. Kubernetes is a plus.

  • Experience field-debugging full-stack deployments.

  • Solid understanding of security principles and best practices.

  • UI and graphic design sensibilities are a plus.

  • Author high-quality, low-cognitive-load, fully-tested code - with- and without- AI assistance.

Unleash Your Potential

When you join Salesforce, you'll be limitless in all areas of your life. Our benefits and resources support you to find balance andbe your best, and our AI agents accelerate your impact so you cando your best. Together, we'll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future - but to redefine what's possible - for yourself, for AI, and the world.

Accommodations

If you need a reasonable accommodation during the application or the recruiting process, please submit a request via this Accommodations Request Form.

Please note that Salesforce uses artificial intelligence (AI) tools to help our recruiters assess and evaluate candidates' resumes and qualifications throughout the recruiting process. Humans will always make any candidate selection and hiring decisions. Please see our Candidate Privacy Statement for more information about how we use your personal data and your rights, including with regard to use of AI tools and opt out options.

Posting Statement

Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that's inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications - without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.

In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. Salesforce offers a variety of benefits to help you live well including: time off programs, medical, dental, vision, mental health support, paid parental leave, life and disability insurance, 401(k), and an employee stock purchasing program. More details about company benefits can be found at the following link: https://www.salesforcebenefits.com.Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records.At Salesforce, we believe in equitable compensation practices that reflect the dynamic nature of labor markets across various regions. The typical base salary range for this position is $197,300 - $313,700 annually. In select cities within the San Francisco and New York City metropolitan area, the base salary range for this role is $237,700 - $344,700 annually. The range represents base salary only, and does not include company bonus, incentive for sales roles, equity or benefits, as applicable.

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