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.
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.
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.
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.
Machine Learning Engineer
Fort Wayne, IN · On-site
Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...
Machine Learning Engineer
Fort Wayne, IN · On-site
Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...
Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...
Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...
Machine Learning Engineer
South Bend, IN · On-site
Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...
Machine Learning Engineer
South Bend, IN · On-site
Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...
Machine Learning Engineer
Gary, IN · On-site
Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...
Machine Learning Engineer
Gary, IN · On-site
Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...
Machine Learning Engineer
Hammond, IN · On-site
Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...
Machine Learning Engineer
Hammond, IN · On-site
Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...
Machine Learning Engineer
Evansville, IN · On-site
Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...
Machine Learning Engineer
Evansville, IN · On-site
Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...
Machine Learning Engineer
Terre Haute, IN · On-site
Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...
Machine Learning Engineer
Terre Haute, IN · On-site
Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...
Junior Machine Learning Engineer
Indianapolis, IN · Hybrid
$66K - $107K/yr
Junior Machine Learning Engineer Working Pattern: Full-time Working location: Indianapolis, IN (Hybrid Schedule/3 days onsite minimum) We're looking for a Junior Machine Learning Engineer to join our ...
Junior Machine Learning Engineer
Indianapolis, IN · Hybrid
$66K - $107K/yr
Junior Machine Learning Engineer Working Pattern: Full-time Working location: Indianapolis, IN (Hybrid Schedule/3 days onsite minimum) We're looking for a Junior Machine Learning Engineer to join our ...
Junior Machine Learning Engineer
Indianapolis, IN · On-site
$66K - $107K/yr
Junior Machine Learning Engineer Working Pattern: Full-time Working location: Indianapolis, IN (Hybrid Schedule/3 days onsite minimum) We're looking for a Junior Machine Learning Engineer to join our ...
Junior Machine Learning Engineer
Indianapolis, IN · On-site
$66K - $107K/yr
Junior Machine Learning Engineer Working Pattern: Full-time Working location: Indianapolis, IN (Hybrid Schedule/3 days onsite minimum) We're looking for a Junior Machine Learning Engineer to join our ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior engineers and product leaders as part of your team. Together, you'll develop and enhance Instacart ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior engineers and product leaders as part of your team. Together, you'll develop and enhance Instacart ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior engineers and product leaders as part of your team. Together, you'll develop and enhance Instacart ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior engineers and product leaders as part of your team. Together, you'll develop and enhance Instacart ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior engineers and product leaders as part of your team. Together, you'll develop and enhance Instacart ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior engineers and product leaders as part of your team. Together, you'll develop and enhance Instacart ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior engineers and product leaders as part of your team. Together, you'll develop and enhance Instacart ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior engineers and product leaders as part of your team. Together, you'll develop and enhance Instacart ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior engineers and product leaders as part of your team. Together, you'll develop and enhance Instacart ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior engineers and product leaders as part of your team. Together, you'll develop and enhance Instacart ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior engineers and product leaders as part of your team. Together, you'll develop and enhance Instacart ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior engineers and product leaders as part of your team. Together, you'll develop and enhance Instacart ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior engineers and product leaders as part of your team. Together, you'll develop and enhance Instacart ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior engineers and product leaders as part of your team. Together, you'll develop and enhance Instacart ...
Machine Learning Engineer New Grad 2024-2025 -Remote
Hammond, IN · On-site
$139K - $168K/yr
Our team of Machine Learning Engineers have high impact by advancing the current Machine Learning systems, building performant and reliable LLM applications and collaborating with our product team to ...
Machine Learning Engineer New Grad 2024-2025 -Remote
Hammond, IN · On-site
$139K - $168K/yr
Our team of Machine Learning Engineers have high impact by advancing the current Machine Learning systems, building performant and reliable LLM applications and collaborating with our product team to ...
Machine Learning Engineer New Grad 2024-2025 -Remote
Terre Haute, IN · On-site
$139K - $168K/yr
Our team of Machine Learning Engineers have high impact by advancing the current Machine Learning systems, building performant and reliable LLM applications and collaborating with our product team to ...
Machine Learning Engineer New Grad 2024-2025 -Remote
Terre Haute, IN · On-site
$139K - $168K/yr
Our team of Machine Learning Engineers have high impact by advancing the current Machine Learning systems, building performant and reliable LLM applications and collaborating with our product team to ...
Machine Learning Engineer Quantization information
What are some common challenges Machine Learning Engineers face when implementing quantization techniques in production models?
Machine Learning Engineers working on quantization often encounter challenges such as balancing reduced model size and computational efficiency with maintaining acceptable accuracy levels. Adapting quantization methods to different hardware platforms can also require significant testing and optimization. Additionally, engineers must frequently address compatibility issues with existing deployment pipelines and ensure that quantization-aware training is properly integrated to minimize performance degradation. Collaboration with hardware and software teams is essential to streamline deployment and achieve optimal results.
What are the key skills and qualifications needed to thrive as a Machine Learning Engineer Quantization, and why are they important?
To thrive as a Machine Learning Engineer Quantization, you need a solid background in machine learning, deep learning, and computer science, typically supported by a degree in a related field. Familiarity with quantization techniques, frameworks such as TensorFlow Lite or PyTorch, and experience with hardware accelerators are crucial. Strong problem-solving skills, attention to detail, and effective collaboration set top performers apart. These capabilities are vital for efficiently deploying high-performing models on resource-constrained devices and ensuring scalable, real-world AI solutions.
What does a Machine Learning Engineer Quantization do?
A Machine Learning Engineer specializing in quantization focuses on optimizing machine learning models by reducing their size and computational requirements without significantly sacrificing accuracy. This involves converting model parameters and computations from high-precision formats (like 32-bit floating point) to lower-precision formats (such as 8-bit integers). Quantization enables faster inference, lower memory usage, and allows models to run efficiently on edge devices and mobile platforms. These engineers work closely with data scientists and hardware teams to implement, test, and validate quantized models in production environments.
What is the difference between Machine Learning Engineer Quantization vs Data Scientist?
| Aspect | Machine Learning Engineer Quantization | Data Scientist |
|---|---|---|
| Required Credentials | Bachelor's or master's in CS, ML, or related; certifications in ML or AI | Bachelor's or master's in statistics, CS, or related; certifications in data analysis or statistics |
| Work Environment | Developing optimized ML models, deploying quantized models for efficiency | Analyzing data, building predictive models, interpreting results |
| Industry Usage | Tech companies, AI hardware firms, embedded systems | Finance, healthcare, marketing, research institutions |
Machine Learning Engineer Quantization focuses on optimizing ML models for deployment efficiency, often working closely with hardware and software teams. Data Scientists analyze data and build models for insights. While both roles require ML knowledge, quantization engineers specialize in model compression techniques, whereas data scientists focus on data analysis and interpretation.
What are popular job titles related to Machine Learning Engineer Quantization jobs in Indiana? For Machine Learning Engineer Quantization jobs in Indiana, the most frequently searched job titles are:
- Manager Remote Machine Learning Engineer
- Machine Learning Engineer
- Urgently Hiring Machine Learning Engineer New Grad
- Remote Machine Learning Engineer
- Senior Machine Learning Engineer
- Junior Machine Learning Engineer
- Machine Learning Engineer Apprenticeship
- Hourly Remote Machine Learning Engineer
- Remote Senior Machine Learning Engineer
- Google Cloud Machine Learning Engineer
What job categories do people searching Machine Learning Engineer Quantization jobs in Indiana look for? The top searched job categories for Machine Learning Engineer Quantization jobs in Indiana are:
- Artificial Intelligence Machine Learning Engineer
- Learning Disability
- Patterned Learning Ai
- Machine Learning Engineer Software Engineer
- Contract Apple Machine Learning Engineer
- Machine Learning Engineer Associate
- Llm Training
- Junior Machine Learning
- Machine Learning Biomedical Engineer
- Weekend Machine Learning
What cities in Indiana are hiring for Machine Learning Engineer Quantization jobs? Cities in Indiana with the most Machine Learning Engineer Quantization job openings:
Full-time
Medical, Dental, Vision, Life, Retirement, PTO
Posted 6 days ago
Rolls-Royce rating
9.0
Based on 14 frontline employees who took The Breakroom Quiz
24th of 427 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:
Preferred Requirements:
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: July 9th, 2026
Job Category
Mechanical Systems
Job Posting Date
02 Jul 2026; 00:07
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.
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: July 9th, 2026
Job Category
Mechanical Systems
Job Posting Date
02 Jul 2026; 00:07
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.
What Rolls-Royce employees say
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About Rolls-Royce
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