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职位Boeing

ML Researcher (Computer Vision - Sensor Fusion)

Boeing

ML Researcher (Computer Vision - Sensor Fusion)

Boeing

seoul

·

On-site

·

Full-time

·

2mo ago

必备技能

Machine Learning

Job Description At Boeing, we innovate and collaborate to make the world a better place.

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.

About Us At Boeing, we innovate and collaborate to make the world a better place.

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.

Our Objectives Boeing Korea Engineering and Technology Center (BKETC) is seeking a highly skilled and motivated AI/ML Researcher to join our cutting-edge research team.

As an AI/ML Researcher, you will play a pivotal role in advancing the field of artificial intelligence and machine learning through innovative research, algorithm development, and the application of machine learning techniques focused on aircraft manufacturing, factory digitalization, etc.

Your work will have a direct impact on developing state-of-the-art AI/ML models and systems that address real-world challenges and push the boundaries of intelligent systems.

Job Responsibilities:Design, implement, and validate multi‑modal sensor fusion algorithms (camera, depth, LiDAR, radar, IMU) for precise length/dimension measurement.

Build and maintain calibration pipelines, synchronized data capture/annotation, and quantitative evaluation metrics (e.g., RMS error, latency, robustness).Integrate and optimize models for target hardware; perform lab and field verification/validation with SW/systems/manufacturing teams.

Develop and validate state-of-the-art AI/ML for 3D perception (reconstruction, object detection, segmentation, keypoint detection, dense depth estimation) to support high-precision measurement tasks.

Design and operate part measurement testbeds (fixtures, jigs, lighting, data logging) and integrate standard metrology devices.

Basic Qualifications (Required Skills/Experience):Master’s degree in Robotics, Electrical Engineering, Computer Science with minimum 3 years of relevant work or research experience or Ph.D degree in a relevant field.

Expertise in designing and implementing advanced AI algorithms for high-precision length and dimension measurement using multi-modal sensor fusion.

Demonstrate experience implementing AI/ML solutions for detection, segmentation, depth, or 3D reconstruction with production‑level validation.

Hands‑on experience with camera and LiDAR calibration, synchronized multi‑sensor data collection, and implementation of CV/ML algorithms for 3D perception or precision measurement.

Hands-on experience designing and operating experimental measurement setups (fixtures, lighting, jigs) and using industrial metrology tools (e.g., CMM, high-precision gauges) for resolution and accuracy verification.

Solid understanding of multi‑view geometry and probabilistic state estimation (e.g., Kalman filters).Proficiency in Python and ML/CV frameworks (e.g., Py Torch/Tensor Flow, OpenCV).

Preferred Qualifications (Desired Skills/Experience):Ph.D. degree with minimum two years of work experience in Robotics, Electrical Engineering, Computer Science.

Experience integrating radar and IMUs, sensor time‑synchronization, and latency compensation.In-depth knowledge of AI-based Multi-Level Fusion (early, feature, and late-level) with projection-based (e.g., Point Painting), transformer-based (e.g., FUTR3D), and hybrid models.

Familiarity with ROS, PCL, CI/CD for ML, and hardware‑in‑the‑loop validation in industrial/manufacturing settings

Applications for this position will be accepted until Feb. 27, 2026
Export Control Requirements: This is not an Export Control position.

Education Bachelor's Degree or Equivalent Required Relocation Relocation assistance is not a negotiable benefit for this position.

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

Shift Not a Shift Worker (Korea, Republic of)
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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关于Boeing

Boeing

Boeing

Public

The Canadian arm of the US aircraft manufacturer Boeing

10,001+

员工数

Winnipeg

总部位置

$95B

企业估值

评价

3.4

21条评价

工作生活平衡

2.2

薪酬

3.5

企业文化

2.0

职业发展

2.1

管理层

1.8

25%

推荐给朋友

优点

Good pay and benefits

Job stability compared to other tech companies

Engineers working to improve processes

缺点

Poor management and leadership quality

Terrible work-life balance and high stress

Lack of career advancement opportunities

薪资范围

27个数据点

Junior/L3

L2

L3

L4

L5

L6

Principal/L7

Senior/L5

Staff/L6

Junior/L3 · Data Scientist L2

0份报告

$106,003

年薪总额

基本工资

-

股票

-

奖金

-

$90,103

$121,903

面试经验

2次面试

难度

2.5

/ 5

时长

14-28周

录用率

100%

体验

正面 50%

中性 50%

负面 0%

面试流程

1

Application Review

2

Recruiter Screen

3

Hiring Manager Interview

4

Panel Interview

5

Offer Negotiation

常见问题

Behavioral/STAR

Product Strategy

Technical Knowledge

Past Experience

Culture Fit