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Machine Learning Object Detection Jobs in Indiana

Machinist II - 1st shift

Indianapolis, IN · On-site

$20.75 - $28.50/hr

Observe machine operation to detect malfunctions or out-of-tolerance machining, and adjusts machine ... Cross-training and e-learning Posting, Reporting, and Work Relations: Candidate must be able to ...

Machinist II - 2nd shift

Indianapolis, IN · On-site

$53K - $70.29K/yr

... • Monitor machine operations, detect malfunctions or out-of-tolerance conditions, and adjust ... learning sessions and carefully structured programmes to pursue personal and professional ...

Machinist II - 2nd shift

Indianapolis, IN · On-site

$53K - $70.29K/yr

... • Monitor machine operations, detect malfunctions or out-of-tolerance conditions, and adjust ... learning sessions and carefully structured programmes to pursue personal and professional ...

Senior Consultant - SAP EAM/PM

Indianapolis, IN · On-site

$60.25 - $82.25/hr

... AI, and machine learning. You'll have the opportunity to work with experienced practitioners ... Configure and support SAP EAM/PM across core functional areas, including technical object master ...

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Machine Learning Object Detection information

What are the key skills and qualifications needed to thrive as a Machine Learning Object Detection Engineer, and why are they important?

To excel as a Machine Learning Object Detection Engineer, you need a solid background in computer science, mathematics, and deep learning principles, often backed by a relevant degree and experience in computer vision. Familiarity with frameworks like TensorFlow, PyTorch, and OpenCV, as well as experience with annotation tools and GPU computing, is typically required. Strong problem-solving abilities, attention to detail, and effective communication are vital soft skills for collaborating with cross-functional teams and addressing complex challenges. These competencies ensure accurate model development, efficient deployment, and continual improvement of object detection systems in real-world applications.

What are some common challenges faced when working on machine learning object detection projects?

One of the main challenges in machine learning object detection roles is dealing with the quality and quantity of annotated data, as accurate labeling is essential for model performance. Another common challenge is managing variations in object scale, lighting, and occlusion within real-world images, which can affect detection accuracy. Additionally, balancing model accuracy with computational efficiency—especially for real-time applications—often requires careful model selection and optimization. Collaboration with data engineers and domain experts is also typical to ensure data relevance and model applicability.

What is machine learning object detection?

Machine learning object detection is a field within artificial intelligence that focuses on identifying and locating objects within images or videos. It uses algorithms and deep learning models, such as convolutional neural networks (CNNs), to analyze visual data and predict the presence and position of various objects. Object detection is widely used in applications like autonomous vehicles, security surveillance, and image search. The process typically involves training models on labeled datasets so they can accurately detect and classify multiple objects in complex scenes.
What are popular job titles related to Machine Learning Object Detection jobs in Indiana? For Machine Learning Object Detection jobs in Indiana, the most frequently searched job titles are:
What job categories do people searching Machine Learning Object Detection jobs in Indiana look for? The top searched job categories for Machine Learning Object Detection jobs in Indiana are:
What cities in Indiana are hiring for Machine Learning Object Detection jobs? Cities in Indiana with the most Machine Learning Object Detection job openings:
Infographic showing various Machine Learning Object Detection job openings in Indiana as of May 2026, with employment types broken down into 95% Full Time, and 5% Contract. Highlights an 97% In-person, and 3% Remote job distribution.
Software Engineer II - Space and RF Sensors (Onsite)

Software Engineer II - Space and RF Sensors (Onsite)

Raytheon Technologies

Wayne, IN • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 8 days ago


Job description

Date Posted:
2026-05-19
Country:
United States of America
Location:
US-IN-FT WAYNE-150A ~ 1010 Production Rd ~ BLDG 150A
Position Role Type:
Onsite
U.S. Citizen, U.S. Person, or Immigration Status Requirements:
The ability to obtain and maintain a U.S. government issued security clearance is required. U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance
Security Clearance Type:
DoD Clearance: Secret
Security Clearance Status:
Active and existing security clearance required after day 1
At RTX, the world largest aerospace and defense company, 185,000 great minds are united by purpose and inspired to make a difference solving the world's most complex problems. With our three market leading businesses, world-class operations and investments in research and development, we offer capabilities and opportunity no one else can. Together, we push the boundaries of known science and find new ways to connect and protect our world.
Raytheon brings the strength of more than 100 years of experience and renowned engineering expertise to meet the needs of today's mission and stay ahead of tomorrow's threat. We deliver solutions that help our nation and allies defend freedoms and deter aggression, creating a safer, more secure world. Join us and help shape the future of aerospace and defense.
At Raytheon, the foundation of everything we do is rooted in our values and a higher calling - to help our nation and allies defend freedoms and deter aggression. We bring the strength of more than 100 years of experience and renowned engineering expertise to meet the needs of today's mission and stay ahead of tomorrow's threat through highly engaged Engineering talent while investing in Generative AI and Machine Learning solutions to support solving the toughest challenges. Our team solves tough, meaningful problems that create a safer, more secure world.
The Software organization develops software applications focused on providing cutting edge capabilities and solutions to our customers toughest challenges. Our precision software and firmware integrate operating systems, device drivers, networking, and control software to bring together sensor, guidance, and flight control processing features to complete the mission. The Software org is made up of several Centers located across the country, responsible for all aspects of the software development lifecycle . Our 4000+ software engineers design, develop, and build innovative solutions for our customers. Join our fast-paced agile teams on the leading edge of technology.
Are you a passionate and motivated Software Developer seeking a fulfilling career in the defense industry? We are looking for a skilled Software Engineer with embedded development experience to join our Space and RF Sensors team at Raytheon in Fort Wayne, IN.
As a member of the team, you will work with cutting-edge technology and contribute to programs that safeguard lives and uphold the freedoms we cherish. At Raytheon, our exceptional engineers are empowered to achieve excellence and inspired to innovate, all within an inclusive environment that values work-life balance as a core principle, not just a catchphrase.
What You Will Do:
  • Design, develop, test, and maintain software for aerospace and defense applications, ensuring robust functionality and reliability.
  • Analyze and translate system requirements into detailed software specifications and designs.
  • Implement, test, and debug software solutions to meet project requirements and quality standards.
  • Collaborate with systems engineering, hardware engineering, and cross-functional teams to ensure seamless integration and optimal system performance.
  • Participate in code reviews, testing procedures, and continuous improvement efforts to enhance software quality and development practices.
  • Document software designs, test results, and troubleshooting processes for future reference.

Qualifications You Must Have:
  • Bachelor's degree in Computer Science, Software Engineering, Electrical Engineering, or a related field, with 2+ years of professional experience, or a Master's degree with 0-2 years of experience.
  • Proficiency in programming languages such as C++, Java, Python or other computer languages.
  • Understanding of Object-Oriented Design (OOD) principles and practices.
  • Experience with software testing and debugging tools.
  • Experience using version control tools like Git.

Qualifications We Prefer:
  • Experience with Linux and/or real-time embedded systems such vxWorks or Integrity.
  • Knowledge of DevSecOps practices, including CI/CD pipelines such as GitLab and secure software development methodologies.
  • Experience with unit test frameworks such as gTest/gMock.
  • Experience leveraging Generative AI and Machine Learning to improve productivity, collaboration, and performance
  • Familiarity with gRPC and Protobufs
  • Familiarity with Open Systems Architectures and modular design principles.
  • Understanding of cybersecurity principles and secure coding practices.
  • Active U.S. government security clearance (if required for the role).

What We Offer:
Our values drive our actions, behaviors, and performance with a vision for a safer, more connected world. At RTX we value: Safety, Trust, Respect, Accountability, Collaboration, and Innovation.
Please ensure the role type defined below is appropriate for your needs before applying to this role.
This position is classified as:
Onsite: Employees who are working in Onsite roles will work primarily onsite. This includes all production and maintenance employees, as they are essential to the development of our products.
As part of our commitment to maintaining a secure hiring process, candidates may be asked to attend select steps of the interview process in-person at one of our office locations, regardless of whether the role is designated as on-site, hybrid or remote.
The salary range for this role is 68,900 USD - 131,100 USD. The salary range provided is a good faith estimate representative of all experience levels. RTX considers several factors when extending an offer, including but not limited to, the role, function and associated responsibilities, a candidate's work experience, location, education/training, and key skills.
Hired applicants may be eligible for benefits, including but not limited to, medical, dental, vision, life insurance, short-term disability, long-term disability, 401(k) match, flexible spending accounts, flexible work schedules, employee assistance program, Employee Scholar Program, parental leave, paid time off, and holidays. Specific benefits are dependent upon the specific business unit as well as whether or not the position is covered by a collective-bargaining agreement.
Hired applicants may be eligible for annual short-term and/or long-term incentive compensation programs depending on the level of the position and whether or not it is covered by a collective-bargaining agreement. Payments under these annual programs are not guaranteed and are dependent upon a variety of factors including, but not limited to, individual performance, business unit performance, and/or the company's performance.
This role is a U.S.-based role. If the successful candidate resides in a U.S. territory, the appropriate pay structure and benefits will apply.
RTX anticipates the application window closing approximately 40 days from the date the notice was posted. However, factors such as candidate flow and business necessity may require RTX to shorten or extend the application window.
RTX is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or veteran status, or any other applicable state or federal protected class. RTX provides affirmative action in employment for qualified Individuals with a Disability and Protected Veterans in compliance with Section 503 of the Rehabilitation Act and the Vietnam Era Veterans' Readjustment Assistance Act.
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