Software Engineer-Artificial Intelligence

Overview

On Site
USD 104,550.00 - 141,450.00 per year
Full Time

Skills

FOCUS
Adobe AIR
IT Management
Management
Data Quality
Documentation
Debugging
Research
Emerging Technologies
C++
Linux
Microsoft Windows
Science
Manufacturing Engineering
Chemistry
Physics
Mathematics
Data Science
Computer Science
PyTorch
OpenCV
Plotly
Reasoning
Estimating
Optimization
Computer Hardware
Programming Languages
Python
R
SQL
Probability
Regression Analysis
Data Cleansing
Deep Learning
Data Structure
Data Modeling
Evaluation
Natural Language Processing
Cloud Computing
Artificial Intelligence
Algorithms
Data Engineering
Machine Learning (ML)
Training
Scalability
Testing
Health Insurance
Insurance
Security Clearance
SAFE
Recruiting
Fraud
Military
Law
Privacy
English
Spanish

Job Details

Software Engineer-Artificial Intelligence

Company:
The Boeing Company

The Boeing Company is currently seeking an Associate Software Engineer-Artificial Intelligence to join the KC-46 Aerial Refueling Software team located in Tukwila, WA. This position will focus on supporting the Boeing Defense, Space & Security (BDS) business organization.

The selected candidate will be part of the Autonomous Air to Air Refueling (A3R) team focused on concept, requirements, architecture, design, and development of boom automation.

We work in a casual but professional environment with multi-disciplined teams of engineers that take pride in developing, integrating, testing and delivering innovative solutions. There is long-term potential for career growth into technical leadership or management positions, and we value the curiosity, tenacity and imagination our engineers bring to our teams each day.

Position Responsibilities:
  • Assists with the design, development, documentation, and implementation of appropriate and best-fit Artificial Intelligence algorithms and models using standard methods and tools considering ethical implications and potential biases
  • Supports in the collection, cleaning, preprocessing, and analysis of large datasets to ensure data quality, reliability, and identification of patterns, trends, and insights
  • Supports testing, documentation, and debugging of Artificial Intelligence models and software systems
  • Supports training, evaluating, and optimization of performance and capabilities of Artificial Intelligence models
  • Supports integration and deployment of efficient and scalable Artificial Intelligence models into production environments
  • Assists with monitoring, validating, and improving in-production Artificial Intelligence models
  • Participates with cross-functional teams and domain experts to understand business requirements, gather feedback, and iterate Artificial Intelligence models and algorithms
  • Supports research and implementation of current and emerging technologies, tools, frameworks, and regulations in the engineering Artificial Intelligence environment and contributes to Artificial Design Practice(s)

This position is expected to be 100% onsite. The selected candidate will be required to work onsite at one of the listed location options.

This position requires the ability to obtain a Secret U.S. Security Clearance for which the US Government requires U.S. Citizenship. Ability to obtain Secret U.S. Security clearance (Post-Start).

Basic Qualifications (Required Skills/ Experience):
  • 2+ years of experience in Python, C++
  • 2+ years of experience in Linux, Windows
  • 2+ years of experience in Machine Learning

Preferred Qualifications (Desired Skills/Experience):
  • Bachelor of Science degree from an accredited course of study in engineering, engineering technology (includes manufacturing engineering technology), chemistry, physics, mathematics, data science, or computer science
  • 2+ years of experience in PyTorch, OpenCV, Plotly
  • Ability to design and implement artificial intelligence models, algorithms, and methods (such as Bayesian inference/reasoning, reasoning under uncertainty, and state estimation) that control complex systems that exhibit dynamic behavior over time
  • These systems can include physical systems, biological systems, economic systems, and more
  • Knowledge of AI Hardware Acceleration concepts and applications
  • Knowledge of software for optimization of AI models on specific hardware
  • Knowledge of programming languages such as Python, R, or SQL. Knowledge of statistical concepts and techniques (probability, hypothesis testing, regression analysis, etc.)
  • Ability to organize and curate data. Ability to apply techniques for data cleaning, preprocessing, and handling of missing values. Knowledge of object data stores and data lakes
  • Ability to design and implement learning algorithms based on deep neural networks
  • Knowledge of activities such as training deep learning models, developing evaluation measures, and optimizing model hyperparameters
  • Knowledge of programming language skills, data structures, algorithms, data modeling and evaluation skills, and natural language processing (NLP) skills
  • Ability to turn prototype code into production code and deploy it in a virtualized cloud environment
  • Broad working knowledge and understanding of Machine Learning - an application of artificial intelligence that enables systems to learn and improve from experience focusing on the use of data and algorithms to gradually improving its accuracy
  • Ability to integrate machine learning with data engineering and to automate the lifecycle of machine learning models. It includes designing, training, testing, deploying and monitoring of models, ensuring scalability, efficiency and reproducibility in production applications

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 is met as outlined in our policies.

CodeVue Coding Challenge:

To be considered for this position you will be required to complete a technical assessment as part of the selection process. Failure to complete the assessment will remove you from consideration.

Total Rewards & Pay Transparency:

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 a number of programs that provide for both paid and unpaid time away from work.

The specific programs and options available to any given employee may vary depending on eligibility factors such as geographic location, date of hire, and the applicability of collective bargaining agreements.

Pay is based upon candidate experience and qualifications, as well as market and business considerations.

Summary pay range for Associate: $104,550.00 - $141,450.00.

Language Requirements:
Not Applicable

Education:
Not Applicable

Relocation:
This position offers relocation based on candidate eligibility.

Export Control Requirement:
This is not an Export Control position.

Safety Sensitive:
This is not a Safety Sensitive Position.

Security Clearance:
This position requires the ability to obtain a U.S. Security Clearance for which the U.S. Government requires U.S. Citizenship. An interim and/or final U.S. Secret Clearance Post-Start is required.

Visa Sponsorship:
Employer will not sponsor applicants for employment visa status.

Contingent Upon Award Program
This position is not contingent upon program award

Shift:
Shift 1 (United States of America)

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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.

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