Boeing
Job Description
At Boeing, we innovate and collaborate to make the world a better place. We’re committed to fostering an environment that welcomes every teammate, is respectful, inclusive, and provides great opportunities for professional growth.
We are looking for a talented Senior Machine Learning Architect to join the team across the United States: Seattle, WA; Arlington, VA; Auburn, WA; Berkeley, MO; Chicago, IL; Colorado Springs, CO; El Segundo, CA; Englewood, CO; Everett, WA; Hazelwood, MO; Houston, TX; Huntington Beach, CA; Huntsville, AL; Kent, WA; Long Beach, CA; Mesa, AZ; Miami, FL; North Charleston, SC; Plano, TX; Portland, OR; Renton, WA; Ridley Park, PA; Saint Charles, MO; San Antonio, TX; Seal Beach, CA; Titusville, FL; or Tukwila, WA.
The ideal candidate will play a pivotal role in leading, designing and implementing scalable machine learning systems and architectures that empower our organization to make informed, data‑driven decisions. As a Machine Learning Architecture leader, you will collaborate closely with cross‑functional teams to thoroughly understand business requirements and translate them into reliable solution designs, then lead highly scalable, secure and cost‑effective solutions tailored to specific business challenges.
Position Responsibilities
Define the strategy to build highly reliable and scalable ML and AI solutions that align with the organization’s business goals and objectives
Lead the creation and implementation of scalable, robust and high‑performance ML architectures including MLOps, AIOps leveraging cloud native services (AWS, Azure, GCP) and open‑source frameworks
Design, build, and optimize machine learning models, ensuring accuracy, efficiency, and scalability
Collaborate with data engineers, data scientists, software developers, and DevOps teams to integrate ML models into production systems
Assess and recommend ML tools, frameworks, and platforms to deliver business value and foster innovation
Monitor and optimize ML models and systems for latency, throughput, and cost‑efficiency in production
Provide technical guidance to ML engineers and data scientists, including documenting standards and best practices
Ensure ML systems adhere to ethical guidelines, data privacy regulations, and industry standards
Design and develop Generative AI and AI use cases (LLMs, RAG, Agentic, multimodel AI, fine‑tuning, vector databases and prompt engineering)
Lead organizational change for the adoption of new platforms, machine learning tools and analytics workflows
Own all communication and collaboration channels pertaining to strategy and assigned projects, including regular stakeholder, senior leadership and cross‑team updates
Establish working relationships with vendors (technology and consulting partners) and hold them accountable
Basic Qualifications
Bachelor’s degree or higher
5+ years of experience with AI/ML technologies, frameworks, models and ensembles
5+ years of experience with PyTorch, Scikit‑Learn, Tensorflow, or similar backend frameworks
5+ years of experience with Kubernetes, Docker containers, and Ansible
5+ years of experience with data engineering and data pipelines for on‑prem cloud, hybrid data models and data warehouses
5+ years of experience with DevOps software including GitLab, Ansible, Terraform, Jira, Azure DevOps Pipelines, GitHub, AWS CodeBuild, AWS CodePipelines, AWS CodeGuru
5+ years of experience with software programming/scripting such as Python, Unix/Linux batch scripting, FORTRAN, C/C++
Preferred Qualifications
10 or more years of related work experience or an equivalent combination of education and experience
5+ years of experience in the manufacturing or aviation domain
5+ years of experience with big‑data technologies and data engineering practices
Experience in multi‑cloud and hybrid AI architecture
Experience with generative AI, NLP, computer vision, or reinforcement learning
Experience with CI/CD pipelines, DevOps practices and containerized deployments
Experience with fine‑tuning and optimization approaches (LoRA/QLoRA, PEFT, parameter‑efficient training) and cost/performance trade‑offs across CPU/GPU/accelerators
Experience with open‑source ML projects or publications in relevant fields
Drug Free Workplace Boeing is a Drug Free Workplace where post‑offer applicants and employees are subject to testing for marijuana, cocaine, opioids, amphetamines, PCP, and alcohol when criteria are met, as outlined in our policies.
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 paid and unpaid time away from work. Pay is based upon candidate experience and qualifications, as well as market and business considerations. Summary pay range for Level 5: $148,750 – $251,250. Summary pay range for Level 6: $174,250 – $293,750.
Applications for this position will be accepted until Dec. 15, 2025.
Export Control Requirements This position must meet export control compliance requirements. “U.S. Person” includes U.S. Citizen, lawful permanent resident, refugee, or asylee.
Education Bachelor’s Degree or Equivalent Required.
Relocation This position offers relocation based on candidate eligibility.
Visa Sponsorship Employer will not sponsor applicants for employment visa status.
Shift 1st shift.
Seniority level Not applicable.
Employment type Full‑time.
Job function Engineering and Information Technology.
Industries Aviation and aerospace component manufacturing; defense and space manufacturing; airlines and aviation.
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 or veteran status, or other characteristics protected by law.
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We are looking for a talented Senior Machine Learning Architect to join the team across the United States: Seattle, WA; Arlington, VA; Auburn, WA; Berkeley, MO; Chicago, IL; Colorado Springs, CO; El Segundo, CA; Englewood, CO; Everett, WA; Hazelwood, MO; Houston, TX; Huntington Beach, CA; Huntsville, AL; Kent, WA; Long Beach, CA; Mesa, AZ; Miami, FL; North Charleston, SC; Plano, TX; Portland, OR; Renton, WA; Ridley Park, PA; Saint Charles, MO; San Antonio, TX; Seal Beach, CA; Titusville, FL; or Tukwila, WA.
The ideal candidate will play a pivotal role in leading, designing and implementing scalable machine learning systems and architectures that empower our organization to make informed, data‑driven decisions. As a Machine Learning Architecture leader, you will collaborate closely with cross‑functional teams to thoroughly understand business requirements and translate them into reliable solution designs, then lead highly scalable, secure and cost‑effective solutions tailored to specific business challenges.
Position Responsibilities
Define the strategy to build highly reliable and scalable ML and AI solutions that align with the organization’s business goals and objectives
Lead the creation and implementation of scalable, robust and high‑performance ML architectures including MLOps, AIOps leveraging cloud native services (AWS, Azure, GCP) and open‑source frameworks
Design, build, and optimize machine learning models, ensuring accuracy, efficiency, and scalability
Collaborate with data engineers, data scientists, software developers, and DevOps teams to integrate ML models into production systems
Assess and recommend ML tools, frameworks, and platforms to deliver business value and foster innovation
Monitor and optimize ML models and systems for latency, throughput, and cost‑efficiency in production
Provide technical guidance to ML engineers and data scientists, including documenting standards and best practices
Ensure ML systems adhere to ethical guidelines, data privacy regulations, and industry standards
Design and develop Generative AI and AI use cases (LLMs, RAG, Agentic, multimodel AI, fine‑tuning, vector databases and prompt engineering)
Lead organizational change for the adoption of new platforms, machine learning tools and analytics workflows
Own all communication and collaboration channels pertaining to strategy and assigned projects, including regular stakeholder, senior leadership and cross‑team updates
Establish working relationships with vendors (technology and consulting partners) and hold them accountable
Basic Qualifications
Bachelor’s degree or higher
5+ years of experience with AI/ML technologies, frameworks, models and ensembles
5+ years of experience with PyTorch, Scikit‑Learn, Tensorflow, or similar backend frameworks
5+ years of experience with Kubernetes, Docker containers, and Ansible
5+ years of experience with data engineering and data pipelines for on‑prem cloud, hybrid data models and data warehouses
5+ years of experience with DevOps software including GitLab, Ansible, Terraform, Jira, Azure DevOps Pipelines, GitHub, AWS CodeBuild, AWS CodePipelines, AWS CodeGuru
5+ years of experience with software programming/scripting such as Python, Unix/Linux batch scripting, FORTRAN, C/C++
Preferred Qualifications
10 or more years of related work experience or an equivalent combination of education and experience
5+ years of experience in the manufacturing or aviation domain
5+ years of experience with big‑data technologies and data engineering practices
Experience in multi‑cloud and hybrid AI architecture
Experience with generative AI, NLP, computer vision, or reinforcement learning
Experience with CI/CD pipelines, DevOps practices and containerized deployments
Experience with fine‑tuning and optimization approaches (LoRA/QLoRA, PEFT, parameter‑efficient training) and cost/performance trade‑offs across CPU/GPU/accelerators
Experience with open‑source ML projects or publications in relevant fields
Drug Free Workplace Boeing is a Drug Free Workplace where post‑offer applicants and employees are subject to testing for marijuana, cocaine, opioids, amphetamines, PCP, and alcohol when criteria are met, as outlined in our policies.
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 paid and unpaid time away from work. Pay is based upon candidate experience and qualifications, as well as market and business considerations. Summary pay range for Level 5: $148,750 – $251,250. Summary pay range for Level 6: $174,250 – $293,750.
Applications for this position will be accepted until Dec. 15, 2025.
Export Control Requirements This position must meet export control compliance requirements. “U.S. Person” includes U.S. Citizen, lawful permanent resident, refugee, or asylee.
Education Bachelor’s Degree or Equivalent Required.
Relocation This position offers relocation based on candidate eligibility.
Visa Sponsorship Employer will not sponsor applicants for employment visa status.
Shift 1st shift.
Seniority level Not applicable.
Employment type Full‑time.
Job function Engineering and Information Technology.
Industries Aviation and aerospace component manufacturing; defense and space manufacturing; airlines and aviation.
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 or veteran status, or other characteristics protected by law.
#J-18808-Ljbffr