- Work Location :
- Work Type :
- Research and Development of models and ensembles covering:
- Classification
- Supervised (CNN, Unet, YOLO, et al)
- Unsupervised (DBSCAN, K-Nearest, Adaboost, et al)
- Prediction
- Predictors (LSTM, UConv, et al)
- regressors (Bayesian, linear, et al)
- Fusion (sensor level, and entity level)
- Decision Making (Task assignments, combinatorial and parametric optimizations, Reinforcement Learning, Path Planning, et al)
- Generative (LLMs, Stackable LLMs, et al)
- Expertise of hands-on experience with machine learning technologies
- Machine Learning, AI, Deep Learning (TensorFlow, PyTorch), Text (Classification, NLP, Topic and Language Modeling, Sentiment Analysis, Information Retrieval), Recommender Systems and Personalization, Fraud Risk and Threat Detection, Computer Vision, Data Mining, Statistics, Big Data, et al.
- 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)
- Demonstrate a commitment to the mission and motivate the team to achieve common objectives through effective teamwork
- Drive innovation by looking beyond current practices and utilizing creative thinking to discover new opportunities and solutions
- Bachelor, Master or Doctorate of Science degree from an accredited course of study, in AI/ML Engineering, Computer Engineering, Software Engineering, Computer Science, Mathematics, Physics or other technical degree
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5-10 years of experience in developing models and ensembles in the AI/ML space - Experience with software architectures and software implementations
- Experience with AI/ML technologies, frameworks, models and ensembles
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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, et al
- Experience with Prediction models, including time series models, regressors, et al
- Experience with GenAI models, including LLMs et al
- Experience with python, ML Ops and Data Ops
- Experience with Model Serving pipelines, microservice architectures, dynamic library creation, and static library creation
- Ability to quickly learn new next-generation algorithms and models, including Neurosymbolic reasoning models, Liquid time-constant models (LTCs), etc
- Proper English and Korean communication skill in verbal and written
- A strong, influential, innovative, and collaborative engineer that can work in a global team
- 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
- Experience with mentoring, coaching, guiding, growing and leading teams of first level managers
- 3 years of experience working with internal and external customers and suppliers
- Relocation assistance is not a negotiable benefit for this position. Candidates must live in the immediate area or relocate at their own expense.
- This requisition is for an international, locally hired position. Candidates must be legally authorized to work in the country where the position is located.
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Mid or Senior AI/ML Software Engineer - Seoul, 대한민국. - The Boeing Company
설명
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.
The Boeing Korea Engineering and Technology Center (BKETC) is seeking Talented AI/ML Software engineers who will be responsible for Creation of best-in-class models and ensembles that can be re-purposed and reused, covering domains of Classification, Prediction, Fusion, Decision Making, and Generative AI solutions, as part of the AI Factory team at the BTECK Korea site.
Work Information:
Position Responsibilities:
Basic Qualifications (Required Skills/Experience):
Preferred Qualifications (Desired Skills/Experience):
Relocation:
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.
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.
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.
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/veteran status or other characteristics protected by law.
