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Applied Machine Learning information

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$24.3K

$40.5K

$83.7K

How much do applied machine learning jobs pay per year?

As of Jul 9, 2026, the average yearly pay for applied machine learning in Indiana is $40,521.00, according to ZipRecruiter salary data. Most workers in this role earn between $30,900.00 and $43,800.00 per year, depending on experience, location, and employer.

What are the typical collaboration dynamics between Applied Machine Learning engineers and other teams within a company?

Applied Machine Learning engineers often work closely with cross-functional teams including data scientists, software engineers, product managers, and business analysts. They are typically responsible for translating business problems into machine learning solutions and ensuring models are effectively integrated into production systems. This role requires frequent communication to align on project goals, share progress, and address technical challenges, making teamwork and stakeholder management crucial for successful deployments and continuous improvement.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as senior machine learning engineer, AI research director, or chief AI officer, often requiring advanced skills in deep learning, data science, and programming. These roles usually involve leadership, strategic planning, and extensive experience, and they may be found in large tech companies or specialized AI firms. Compensation at this level reflects significant expertise, responsibility, and impact on business or product development.

What is applied machine learning?

Applied machine learning involves using machine learning techniques and algorithms to solve real-world problems in various industries, such as healthcare, finance, and technology. Practitioners focus on selecting appropriate models, preparing data, training algorithms, and deploying solutions that deliver tangible value. Unlike theoretical machine learning, applied machine learning emphasizes practical implementation, evaluation, and optimization to meet business or research objectives.

Is applied AI a good career?

Applied machine learning is a growing field with strong demand for professionals skilled in algorithms, programming, and data analysis. It offers opportunities in various industries such as technology, healthcare, and finance, often requiring knowledge of tools like Python, TensorFlow, and cloud platforms. The career can be rewarding with continuous learning and development of specialized skills.

What are the key skills and qualifications needed to thrive as an Applied Machine Learning professional, and why are they important?

To excel in Applied Machine Learning, you need a solid background in mathematics, statistics, computer science, and experience with machine learning algorithms, often supported by a relevant degree or certification. Familiarity with programming languages like Python or R, frameworks such as TensorFlow or PyTorch, and version control systems is typically required. Strong problem-solving abilities, communication skills, and a collaborative mindset help you interpret results and convey insights to diverse stakeholders. These competencies are crucial for building effective models, driving data-driven decisions, and ensuring the successful integration of machine learning solutions into real-world applications.

What engineer makes $500,000 a year?

Senior machine learning engineers with extensive experience, advanced skills in deep learning and data science, and often working in high-paying industries or companies can earn $500,000 or more annually. Achieving this level typically requires a strong educational background, specialized certifications, and a track record of successful projects in applied machine learning environments.

Will MLE be replaced by AI?

Applied Machine Learning (MLE) professionals design, develop, and implement machine learning models, which are essential for AI systems. While AI automation tools can assist or streamline certain tasks, MLE roles focus on model development, data preprocessing, and system integration that require specialized expertise, making complete replacement unlikely in the near term.
What are popular job titles related to Applied Machine Learning jobs in Indiana? For Applied Machine Learning jobs in Indiana, the most frequently searched job titles are:
What job categories do people searching Applied Machine Learning jobs in Indiana look for? The top searched job categories for Applied Machine Learning jobs in Indiana are:
Applied Machine Learning jobs near you
Infographic showing various Applied Machine Learning job openings in Indiana as of July 2026, with employment types broken down into 74% Full Time, 24% Part Time, 1% Temporary, and 1% Contract. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution, with an average salary of $40,521 per year, or $19.5 per hour.
Research Staff Engineer

Research Staff Engineer

Purdue University

West Lafayette, IN • On-site

Full-time

Posted 28 days ago

Purdue University rating

7.5

Company rating: 7.5 out of 10

Based on 136 frontline employees who took The Breakroom Quiz

268th of 546 rated colleges and universities

Job description

Research Staff Engineer
City: West Lafayette
Job Description:
Job Summary
Performs applied research at the intersection of fabrication, hands-on engineering, materials, manufacturing processes, process characterization, and artificial intelligence/machine learning in manufacturing (AI/ML). Works both independently and collaboratively within a dynamic, interdisciplinary environment. Requires strong knowledge of equipment design and fabrication, manufacturing processes, materials, data analysis, and analytical methods, along with the ability to contribute effectively to fast-paced, time-bound, and results-driven team projects.
Engages in individual and team-based research in electronic manufacturing, including the design and development of equipment and processes. Plans and executes project tasks to meet established timelines, conducts equipment-based analysis, and prepares detailed technical reports. Collaborates with academic, governmental, and industry partners and presents research outcomes to a range of stakeholders.
This position offers a chance to make a meaningful impact at a prestigious institution known for innovation and research excellence. Join our community of lifelong learners and contribute your skills to this critical program. At Purdue, you'll find unrivaled pride and unlimited potential as we persistently pursue the next giant leap together. Take the next step in your career journey - apply now to help build a better world at Purdue University.
Who We Are:
The School of Mechanical Engineering at Purdue University is truly unique. We began in 1882 as experts in locomotives (thus the name "Boilermakers!") And now in the 21st century, we continue to move the world forward by combining the latest technologies with the strongest of fundamentals.
Purdue hosts the nation's No. 1 Manufacturing and Supply Chain Program. Further Manufacturing and Materials Research Laboratories (MMRL), one of the nation's largest shared laboratories for physical and digital manufacturing research and education. ME hosts nation's first Center for In-Space Manufacturing (CISM). Additionally, Maker spaces and workshops, like the Bechtel Innovation Design Center, allow students to develop and build any prototype they can imagine. The world's largest academic cleanroom, Birck Nanotechnology Center, enables pioneering advancements in nanotechnology. The world's largest academic propulsion lab, Zucrow Labs, is the birthplace of next-generation jet engines and rockets. The world's largest academic HVAC lab, Herrick Labs, shapes the future of smart buildings. We have the only accredited Motorsports Engineering degree program in the nation. And with 50,000 students to collaborate across all disciplines, there's no limit to what Purdue ME students can accomplish.
What We're Looking For:
Education and Experience:
  • Associates or Bachelors degree of Applied Science
  • Two (2) years of experience in electronics fabrication research and manufacturing systems
  • Hands-on fabrication experience
  • A background in mechanical and electrical design, fabrication, assembly, and manufacturing
  • Hands-on experience with robotic and fabrication equipment, testing, and operation
  • Knowledge of data gathering and analysis
  • Proficiency in test planning
  • Use of hardware and software

Skills needed:
  • Learning new subjects, problem-solving, critical thinking, and project-planning abilities
  • Practical communication skills, including technical writing and presentations, and working harmoniously in a team with multiple skills
  • Strong attention to safety, urgency, and professionalism in a research setting
  • MODERATE PHYSICAL ACTIVITY: Lift and carry 25 to 50 lbs. frequently, and up to 60 lbs. occasionally

Nice to have:
  • Bachelors degree with two (2)+ years of work experience or two (2) years of technician diploma with four (4)+ years of experience to work in a machine shop
  • Some exposure and experience to work in applied research operations
  • Interest in space as a subject is a human ambition

Who We Are:
Purdue is a community built on collaboration, with global perspectives, Boilermaker pride and endless opportunity to live, learn and grow. Join us and contribute to our culture.
Additional Information:
  • Purdue's benefits summary https://www.purdue.edu/hr/Benefits/
  • Purdue will not sponsor employment authorization for this position
  • A background check will be required for employment in this position
  • FLSA: Exempt (Not Eligible For Overtime)
  • Retirement Eligibility: Defined Contribution Waiting Period

Career Stream
Compensation Information:
Professional 2
Pay Band S120
Job Code#20002707
Link to Purdue University's Compensation Guidelines: https://www.purdue.edu/hr/mngcareer/compguidelines/index.php
EOE
Purdue University is an EO/EA University

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