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Machine Learning Signal Processing Engineer Job Opening In Beavercreek – Now Hiring Leidos


Job description

**Description**

Do you want to join a high performing team that values integrity, innovation, and collaboration with a company whose mission is to make the world safer, healthier, and more efficient through information technology, engineering and science?

Are you interested making a difference by applying your machine learning and signal processing skills toward state-of-the-art research and development problems?

Leidos currently has two exciting openings for machine learning and signal processing engineers to work in our Ann Arbor, Michigan or Beavercreek, Ohio office.

As a machine learning / signal processing engineer, you will apply your skills to a wide variety of problems and datasets, primarily focused on remote sensing (SAR/RF, acoustic, EO/ IR, and LIDAR) applications.

Current projects include, but are not limited to, detection, tracking, data fusion, and classification.

We develop a variety of combat identification (CID) algorithms and specialize in technologies to train these systems on synthetic data.

We are looking for a qualified candidate to bring technical excellence, leadership, entrepreneurship, and creativity to our programs.

You will interact with customers, grow to lead technical projects areas, and have the opportunity to pursue growth in new technologies.

This position requires about three quarters of the job duties to be performed onsite due to the sensitive nature of this work and the desire for in-person collaboration, however we offer flexible in-office hours and the ability to perform some job duties remotely.

The opportunity to transform image and signal data into actionable information awaits!

Primary Responsibilities:
• Working with teams on the research, design, and development of sensor exploitation systems including signal processing, automatic target recognition, and signature modeling.
• Collaborating with our customers to address challenging mission requirements by researching and developing new capabilities as well as making improvements to existing systems.
• Rapidly and iteratively implement new algorithms to address these challenges.
• Develop Automatic Target Recognition (ATR) algorithms using Python, MATLAB, C++, and other languages for real world applications.

Leverage state-of-the-art AI/ML tools and methods to improve performance of ATR systems
• Provide technical leadership for tasks and programs

Basic Qualifications
• Bachelor’s degree with 2+ years or Master's degree with experience in Computer Science, Electrical Engineer, Physics, or Applied Mathematics.
• Strong programming ability in Python and/or C/C++ for Linux enviroments
• Knowledge of code configuration control
• Familiarity with common machine and deep learning packages such as Scikit-Learn, PyTorch, etc.
• Ability to effectively communicate technical solutions to coworkers, teammates, and customers.
• Active SECRET clearance or higher, with an ability to obtain a TS/SCI clearance
• US Citizenship Required

Preferred Qualifications:
• Experience with Automatic Target Recognition algorithm development
• Experience working with monostatic or bi-static Synthetic Aperture Radar (SAR) and/or Synthetic Aperture Lidar (SAL) data and sensor systems
• Experience developing computer vision applications
• Experience with multi-sensor data fusion

AWTLINC

At Leidos, we don’t want someone who fits the mold—we want someone who melts it down and builds something better.

This is a role for the restless, the over-caffeinated, the ones who ask, “what’s next?” before the dust settles on “what’s now.”

If you’re already scheming step 20 while everyone else is still debating step 2… good.

You’ll fit right in.

**Original Posting:**
September 5, 2025

For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above.

**Pay Range:**
Pay Range $67,600.00 - $122,200.00

The Leidos pay range for this job level is a general guideline onlyand not a guarantee of compensation or salary.

Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.

REQNUMBER: R-00165872-OTHLOC-PL-2D0190
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status.

Leidos will consider qualified applicants with criminal histories for employment in accordance with relevant Laws.

Leidos is an equal opportunity employer/disability/vet.


Required Skill Profession

Other General


  • Job Details

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Unlock Your Machine Learning Potential: Insight & Career Growth Guide


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Are You Looking for Machine Learning Signal Processing Engineer Job?

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The Work Culture

An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at Leidos adheres to the cultural norms as outlined by Expertini.

The fundamental ethical values are:

1. Independence

2. Loyalty

3. Impartiapty

4. Integrity

5. Accountabipty

6. Respect for human rights

7. Obeying United States laws and regulations

What Is the Average Salary Range for Machine Learning Signal Processing Engineer Positions?

The average salary range for a varies, but the pay scale is rated "Standard" in Beavercreek. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.

What Are the Key Qualifications for Machine Learning Signal Processing Engineer?

Key qualifications for Machine Learning Signal Processing Engineer typically include Other General and a list of qualifications and expertise as mentioned in the job specification. The generic skills are mostly outlined by the . Be sure to check the specific job listing for detailed requirements and qualifications.

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Interview Tips for Machine Learning Signal Processing Engineer Job Success

Leidos interview tips for Machine Learning Signal Processing Engineer

Here are some tips to help you prepare for and ace your Machine Learning Signal Processing Engineer job interview:

Before the Interview:

Research: Learn about the Leidos's mission, values, products, and the specific job requirements and get further information about

Other Openings

Practice: Prepare answers to common interview questions and rehearse using the STAR method (Situation, Task, Action, Result) to showcase your skills and experiences.

Dress Professionally: Choose attire appropriate for the company culture.

Prepare Questions: Show your interest by having thoughtful questions for the interviewer.

Plan Your Commute: Allow ample time to arrive on time and avoid feeling rushed.

During the Interview:

Be Punctual: Arrive on time to demonstrate professionalism and respect.

Make a Great First Impression: Greet the interviewer with a handshake, smile, and eye contact.

Confidence and Enthusiasm: Project a positive attitude and show your genuine interest in the opportunity.

Answer Thoughtfully: Listen carefully, take a moment to formulate clear and concise responses. Highlight relevant skills and experiences using the STAR method.

Ask Prepared Questions: Demonstrate curiosity and engagement with the role and company.

Follow Up: Send a thank-you email to the interviewer within 24 hours.

Additional Tips:

Be Yourself: Let your personality shine through while maintaining professionalism.

Be Honest: Don't exaggerate your skills or experience.

Be Positive: Focus on your strengths and accomplishments.

Body Language: Maintain good posture, avoid fidgeting, and make eye contact.

Turn Off Phone: Avoid distractions during the interview.

Final Thought:

To prepare for your Machine Learning Signal Processing Engineer interview at Leidos, research the company, understand the job requirements, and practice common interview questions.

Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the Leidos's products or services and be prepared to discuss how you can contribute to their success.

By following these tips, you can increase your chances of making a positive impression and landing the job!

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