Software Engineer - AI/ML

The Boeing Company is seeking a highly skilled Senior AI Software Engineer to join our AI & Autonomy Applications and Innovations team based in Berkeley, MO. This role offers an exciting opportunity to work on cutting-edge projects that leverage artificial intelligence, machine learning, and computer vision to develop innovative aerospace solutions. As a Senior AI Software Engineer, you will be instrumental in designing, developing, and deploying advanced AI applications that enhance Boeing’s product capabilities and operational efficiencies. You will collaborate with multidisciplinary teams, contribute to research initiatives, and participate in rapid prototyping to bring innovative ideas from concept to reality. The role requires a proactive mindset, a passion for learning, and the ability to work independently within a dynamic, distributed environment., * Provide innovative solutions to a variety of technical challenges within the scope of AI and machine learning applications.

• Work under general supervision, managing routine tasks independently while collaborating on complex projects.
• Leverage expertise in artificial intelligence, data mining, and machine learning to develop impactful software applications.
• Participate in research, rapid prototyping, and the development of advanced computing technologies for aerospace products and services.
• Communicate technical results effectively to team members, stakeholders, and customers, ensuring clarity and actionable insights.
• Seek and incorporate feedback from diverse sources to continuously improve solutions and personal skills.
• Collaborate with cross-functional teams to integrate AI solutions into existing and new aerospace systems.
• Contribute to documentation, testing, and validation of AI models and applications to ensure reliability and performance.

The ideal candidate will possess a strong educational background in engineering, computer science, or a related field, with a minimum of a Bachelor’s degree. Advanced degrees such as a Master’s or PhD are preferred. Candidates should have at least 5 years of relevant experience, including internships or research positions, demonstrating a deep understanding of AI, machine learning, and data mining techniques. Proficiency in programming languages such as Python, Matlab, C++, Java, or C is essential, along with experience working with data tools like SQL, Teradata, Tableau, Gephi, or Airflow. Candidates should also have experience in developing and evaluating machine learning models, deploying AI solutions, and working within an Agile development environment. Knowledge of product management, customer requirements, and translating them into deployed solutions is a plus.

Boeing offers a comprehensive Total Rewards package designed to attract, retain, and motivate top talent. Employees enjoy competitive base salaries complemented by variable compensation opportunities. The company provides a variety of benefit programs, including health insurance, flexible spending accounts, health savings accounts, retirement savings plans, and life and disability insurance. Additionally, Boeing supports work-life balance through paid and unpaid time off programs. The specific benefits available may vary based on geographic location, employment status, and other eligibility factors. The company also encourages continuous learning and development, offering resources and opportunities for professional growth.

Boeing is a globally recognized leader in aerospace innovation, committed to advancing technology and creating solutions that benefit humanity. With a rich history of engineering excellence and a forward-looking approach, Boeing designs, manufactures, and supports commercial airplanes, defense, space, and security systems. The company fosters a culture of collaboration, diversity, and inclusion, aiming to inspire the next generation of aerospace professionals. Known for its commitment to sustainability and technological advancement, Boeing continuously invests in research and development to push the boundaries of what is possible in aerospace and related industries.