Senior Machine Learning / AI Software Engineer

Boeing • Richardson, TX

9h

About The Position

Senior Machine Learning / AI Software Engineer Company: The Boeing Company 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.

Requirements

• 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.
• 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)
• 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.

Nice To Haves

• 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.

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.

Benefits

• 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.
• This position offers relocation based on candidate eligibility.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level