Job DescriptionAt 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’

AI/ML Software Engineer Internship

The Boeing Company • 
Seoul, Kyonggi-do, Korea, South
Position Type: Internship
Job Description:

Job Description

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 opportunity for professional growth. Find your future with us.

Job Description

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 opportunity for professional growth. Find your future with us.

Boeing Korea Internship program is an exceptional opportunity to start your career with industry experience beyond or based on your academic experience with Boeing, the world’s largest aerospace company. We are looking for enthusiastic candidates who have expertise and interest in a specific position’s requirements

Work Information:

  • Work Location : ASEM Tower (Samsung-Dong)
  • Work Type : Hybrid (Work from Home & Office)

A successful candidate will be building out and developing, researching, and exercising AI/ML re-usable models and ensembles, the building blocks for AI/ML application development.  This engineer will be responsible for the development and execution of the foundational models as part of the AI Factory team in the BKETC Software Engineering. This requires excellent communication and interpersonal skills. This role is fundamental to the successful growth of the team and it will require you to work both proactively and autonomously with a diverse team of colleagues and partners with varying experience across different business areas, domains and backgrounds.

Position Responsibilities:

  • Research and Development of models and ensembles covering:
    • Classification
      • Supervised (CNN, Unet, YOLO)
      • Unsupervised (DBSCAN, K-Nearest, Adaboost)
    • Prediction
      • Predictors (LSTM, UConv)
      • regressors (Bayesian, linear)
    • Fusion (sensor level, and entity level)
    • Decision Making (Task assignments, combinatorial and parametric optimizations, Reinforcement Learning, Path Planning)
    • Generative (LLMs, Stackable LLMs)
  • Hands-on experience developing AI/ML technologies
  • Work closely with the Research leads and Chief AI Architects from Boeing Enterprise AI Center (BEAC)
  • Work closely with the Software Engineers in AI Foundations (for MLOps and DataOps development)
  • Work closely with the Software Engineers in AI Innovations (Application and consulting arm of the BEAC, developing the AI applications)

Basic Qualifications (Required Skills/Experience):

  • Undergraduate senior or higher (class of 2024) in Computer Science, AI/ML engineering, Software Engineering, Mathematics, Physics or related field
  • Experience with software implementations
  • Experience with AI/ML technologies, frameworks, models and ensembles
    • Experience with Pytorch, SciKit Learn, Tensorflow, and similar backend frameworks
    • Experience with Classification Supervised and Unsupervised models
    • Experience with Decision Making models, such as Reinforcement learning
    • Experience with Prediction models, including time series models, regressors
    • Experience with GenAI models, including LLMs
  • Experience with Python
  • Ability to quickly learn new next-generation algorithms and models, including Neurosymbolic reasoning models, and Liquid time-constant models (LTCs)
  • Good problem-solving skills
  • Excellent verbal and written communication skills
  • Excellent project and time management skills
  • Good interpersonal skills

Preferred Qualifications (Desired Skills/Experience):

  • Experience with ML Ops and Data Ops
  • Strong background with optimizing and validating models
  • Experience with V&V test benches
  • Familiarity with Explainable AI (XAI) techniques
  • Familiarity with ONNX (Open Neural Net Exchange)
  • Proactively and quickly makes sense of complex issues; responds effectively to complex and ambiguous situations; communicates complicated information simply
  • Gains others trust by demonstrating openness and honesty, behaving consistently, and acting in accordance with moral, ethical, professional, and organizational guidelines

Relocation:

  • Relocation assistance is not a negotiable benefit for this position. Candidates must live in the immediate area or relocate at their own expense. Boeing gives additional scores to eligible candidates for job positions who are classified as veterans or persons of disability according to applicable laws. Boeing Korea has officially been certified as a “Best Family Friendly Management” company by the Republic of Korea Ministry of Gender Equality and Family

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Equal Opportunity Employer:

We are an equal opportunity employer. We do not accept unlawful discrimination in our recruitment or employment practices on any grounds including but not limited to; race, color, ethnicity, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military and veteran status, or other characteristics covered by applicable law.

We have teams in more than 65 countries, and each person plays a role in helping us become one of the world’s most innovative, diverse and inclusive companies. We are proud members of the Valuable 500 and welcome applications from candidates with disabilities. Applicants are encouraged to share with our recruitment team any accommodations required during the recruitment process. Accommodations may include but are not limited to: conducting interviews in accessible locations that accommodate mobility needs, encouraging candidates to bring and use any existing assistive technology such as screen readers and offering flexible interview formats such as virtual or phone interviews.

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