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Senior Machine Learning / AI Software Engineer

Richardson, Texas Job ID JR2026495833 Category Security Clearance Role Type Onsite Post Date Feb. 24, 2026 Security Clearance Required
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Job Description

At Boeing, we innovate and collaborate to make the world a better place. We’re committed to fostering an environment for every teammate that’s welcoming, respectful and inclusive, with great opportunity for professional growth. Find your future with us.

The Boeing Company is currently seeking a Senior Machine Learning / AI  Software Engineer to join the Special Projects Dallas (SPD) P-8A Advanced Airborne Sensor (AAS) Software Engineering team located in Richardson, TX. This position will focus on supporting the Boeing Defense, Space & Security (BDS) business organization.

The Boeing Company in Richardson, TX is looking for a Senior Machine Learning / Artificial Intelligence Software Engineer to design, develop, document, and deploy robust, ethical, and scalable AI/ML solutions for aerospace systems. The role requires hands-on ownership across the ML lifecycle: data collection and preprocessing, model design and training, verification and validation, safety risk management, production integration, and ongoing monitoring and improvement. The successful candidate will collaborate closely with cross-functional teams and domain experts, apply best-practice engineering and testing methodologies, and stay current with emerging tools, frameworks, and regulatory/ethical considerations in support for the P-8A Advanced Airborne Sensor (AAS) Mission Systems contracts.

Position Responsibilities:

  • Design and implement appropriate AI/ML algorithms and models using standard methods and tools, with attention to ethical implications and potential biases.

  • Oversee the collection, cleaning, preprocessing and analysis of large datasets to ensure data quality, reliability and identification of patterns, trends, and insights.

  • Train, evaluate, and optimize model performance, generalization, and computational efficiency.

  • Test, document, debug, and validate AI/ML models and associated software systems following engineering standards.

  • Consult on training, evaluation and optimization of performance and capabilities of Artificial Intelligence models

  • Oversee Safety Risk Management processes for Artificial Intelligence models in accordance with organizational standards.

  • Provide subject matter expertise on integration and deployment of standard efficient and scalable Artificial Intelligence models into production environments.

  • Oversee monitoring, validation and improvement of standard in production Artificial Intelligence models.

  • Consult and collaborates with cross functional teams and domain experts to understand business requirements, gather feedback, and iterate Artificial Intelligence models and algorithms.

  • Influence  current and emerging technologies, tools, frameworks, and regulations in the Artificial Intelligence environment and contributes to Artificial Design Practice(s).

  • Research, prototype, and adopt current and emerging technologies, tools, frameworks, and regulatory guidance relevant to AI/ML and aerospace applications.

Basic Qualifications (Required Skills/Experience):

  • Masters degree or higher in Engineering and/or a Technical discipline

  • Proficiency with ML frameworks and libraries such as TensorFlow, PyTorch, scikit-learn, and common data tooling (e.g., pandas, NumPy).

  • Experience with data engineering tasks: data collection, cleaning, preprocessing, feature engineering, and working with large-scale datasets.

  • Solid understanding of ML fundamentals: supervised and unsupervised learning, deep learning, model evaluation metrics, regularization, and hyperparameter tuning.

  • Hands-on experience building end-to-end ML solutions from data ingestion through production deployment and maintenance.

Preferred Qualifications (Desired Skills/Experience):

  • PHd degree in Computer Science, Electrical Engineering, Data Science, or related field (or equivalent experience).

  • Significant experience designing and deploying ML systems in production, preferably in regulated domains.

  • Strong knowledge of ML algorithms (supervised, unsupervised, deep learning), model evaluation, and optimization techniques.

  • Proficiency with data engineering: cleaning, feature engineering, and working with large-scale datasets.

  • Experience with ML frameworks and tooling (e.g., TensorFlow, PyTorch, scikit-learn), containerization, CI/CD, and cloud or on-prem deployment pipelines.

  • Experience with GPU utilization

  • Experience with real-time requirements regarding computational efficiency

  • Familiarity with safety engineering processes, risk assessment, and methods to assess and mitigate model bias and ethical risk.

  • Excellent coding skills in relevant languages (e.g., Python, C++/Java as applicable), and software engineering best practices (testing, documentation, version control).

  • Strong communication and collaboration skills; ability to work across cross-functional teams and present technical results to stakeholders.

Drug Free Workplace:

Boeing is a Drug Free Workplace (DFW) where post offer applicants and employees are subject to testing for marijuana, cocaine, opioids, amphetamines, PCP, and alcohol when criteria is met as outlined in our policies.

Travel:

Occasional travel may be required but would be less than 10%.

CodeVue Coding Challenge:

To be considered for this position you will be required to complete a technical assessment as part of the selection process.  Failure to complete the assessment will remove you from consideration.

Pay & Benefits:

At Boeing, we strive to deliver a Total Rewards package that will attract, engage and retain the top talent.  Elements of the Total Rewards package include competitive base pay and variable compensation opportunities. 

The Boeing Company also provides eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health insurance, flexible spending accounts, health savings accounts, retirement savings plans, life and disability insurance programs, and a number of programs that provide for both paid and unpaid time away from work. 

The specific programs and options available to any given employee may vary depending on eligibility factors such as geographic location, date of hire, and the applicability of collective bargaining agreements.

Pay is based upon candidate experience and qualifications, as well as market and business considerations. 

Summary Pay Range: $273,700 - $370,300


Applications for this position will be accepted until Mar. 11, 2026


Export Control Requirements:

This position must meet U.S. export control compliance requirements. To meet U.S. export control compliance requirements, a “U.S. Person” as defined by 22 C.F.R. §120.62 is required. “U.S. Person” includes U.S. Citizen, U.S. National, lawful permanent resident, refugee, or asylee.

Export Control Details:

US based job, US Person required

Education

Master's Degree or Equivalent Required

Relocation

This position offers relocation based on candidate eligibility.

Security Clearance

This position requires an active U.S. Top Secret Security Clearance (U.S. Citizenship Required). (A U.S. Security Clearance that has been active in the past 24 months is considered active)

Visa Sponsorship

Employer will not sponsor applicants for employment visa status.

Shift

This position is for 1st shift


Equal Opportunity Employer:

Boeing is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military/veteran status or other characteristics protected by law.

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These programs are subject to eligibility requirements and other conditions, which may differ for employees of certain subsidiaries or business units, or union-represented employees depending on bargaining agreement terms. If this information conflicts with the program documents, the latter shall control. This material is informational only.

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