Boeing logo

Junior AI/ML Engineer

Boeing

Join Boeing as a Junior AI/ML Engineer

At Boeing, we innovate and collaborate to make the world a better place. From the seabed to outer space, you can contribute to work that matters with a company where diversity, equity, and inclusion are shared values. We’re committed to fostering an environment for every teammate that’s welcoming, respectful, and inclusive, with great opportunities for professional growth. Find your future with us.

Why This is an Exciting Role:

As a Junior AI/ML Engineer at Boeing Intelligence & Analytics, you will be responsible for providing application development and support to an ecosystem of big data apps in a collaborative environment.

Key Responsibilities:

  • Data Collection: Assist in gathering datasets from various sources.
  • Data Cleaning: Handle missing data, remove duplicates, and ensure the dataset is ready for modeling.
  • Data Transformation: Normalize or scale features and convert categorical data into numerical formats.
  • Algorithm Implementation: Implement basic machine learning algorithms (e.g., regression, classification) using libraries like TensorFlow, PyTorch, or Scikit-learn.
  • Model Training: Run training processes on datasets, tune hyperparameters, and monitor performance metrics.
  • Model Evaluation: Use validation techniques like cross-validation and calculate metrics (e.g., accuracy, precision, recall) to assess model performance.
  • Feature Selection: Identify and select the most relevant features that will improve model accuracy.
  • Feature Creation: Create new features from existing data that may enhance model predictions.
  • Team Collaboration: Work with data scientists, senior engineers, and domain experts to understand project requirements and objectives.
  • Documentation: Write clear and concise documentation for the code, models, and processes developed, ensuring reproducibility and knowledge sharing.
  • Integration: Work with DevOps teams to integrate models into existing systems or pipelines.

What Makes BI&A Different:

As a fully owned subsidiary of The Boeing Company, BI&A offers an optimal mix of a small company environment with exceptional opportunities supported by a large corporation.

Every day, Boeing Intelligence & Analytics supports global missions by building and delivering intelligence, analytics, and cyber solutions that enable users to advance national security. From hardware and software engineering solutions to analytics that keep this nation safe, we create value that meets users’ needs. With vibrant partnerships and innovative approaches, we serve the Intelligence Community through innovation and vision.

Experience and Qualifications:

  • Required Education and Experience:

    • 2+ years of professional experience with a Bachelor's degree or equivalent
    • 0+ years of professional experience with a Master's degree or equivalent
    • Additional experience will be considered in lieu of a degree
  • Required Skills:

    • Hands-on experience with Python, Java, Jupyter, NumPy, Pandas, PyTorch, Scikit-learn
    • CI/CD tool experience (Gitlab, Jenkins)
    • Microservices Architecture
    • Familiarity with OpenCV, TensorFlow, C#, MATLAB, JavaScript, Docker, MySQL
  • Desired Skills:

    • Utilizing Cloud Platform technologies, preferably AWS
    • Big Data Tools (Elasticsearch, Splunk, NiFi, Kafka)
    • Agile/Scrum experience
    • Experience building and deploying Docker-based applications

Work Environment:

  • Telework/Remote Availability: Hybrid work schedule; 16-hours per week approved
  • Work Locations: New Providence, NJ; Annapolis Junction, MD; Elkridge, MD; Washington, DC, Reston, VA

Compensation:

  • Salary Range: €111,000 - €125,000 per year

Boeing is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.

Benefits
Extracted with AI

  • Hybrid work schedule
  • Professional growth opportunities
  • Access to cutting-edge technologies
  • Diverse project portfolio

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