Senior Machine Learning Engineer (Auto Labeling)

Mountain View, United States

42dot

포티투닷 | 42dot은 소프트웨어가 중심이 되는 SDV를 통해 새로운 이동의 미래를 제시합니다.

View all jobs at 42dot

Apply now Apply later

We are looking for the best
At 42dot, our Senior Machine Learning Engineers conduct research and development on machine learning algorithms to ensure safe autonomous driving. We address complex challenges that aren't easily solved through conventional means, aiming to achieve human-level natural autonomous driving. Additionally, we collaborate with various teams across 42dot to leverage machine learning effectively.

Responsibilities

  • Dataset and Evaluation: We focus on curating high-quality datasets tailored to autonomous driving scenarios and designing robust evaluation metrics to accurately assess algorithm performance.
  • Active Learning: Our team explores techniques for efficiently selecting and labeling informative data points, minimizing labeling efforts while enhancing model performance.
  • Network Architecture Search: We investigate methods for autonomously discovering optimal neural network architectures, specifically tailored for label generation from sensor and video data in autonomous driving contexts.
  • Transfer/Low-shot/Long-tail Learning: Our efforts include developing strategies to leverage knowledge from related tasks or domains, addressing scenarios with limited labeled data (low-shot learning), and handling class distribution imbalances (long-tail learning) commonly found in autonomous driving datasets.
  • Efficient Learning and Inference: We optimize learning algorithms and inference processes to ensure resource-efficient utilization, crucial for real-time deployment in autonomous driving systems.
  • Privacy: Our team prioritizes the development of privacy-preserving techniques, ensuring the handling of sensitive data while maintaining high-performance label generation, in compliance with privacy regulations and safeguarding user information.

Qualifications

  • Minimum of 7 years of relevant experience
  • Master's or Ph.D. degree in Computer Science, Electrical Engineering, Mathematics, Statistics, or a related field relevant to machine learning, or equivalent experience
  • Strong background in Linear Algebra, Probability, Signal Processing, and machine learning concepts
  • Proficient programming skills in languages such as C/C++, Python, and others

Preferred Qualifications

  • Experience in development related to autonomous driving and robotics, including Object Detection, Semantic Segmentation, Depth Estimation, and Transformer-based models.
  • Experience in building and utilizing automated learning pipeline systems.
  • Track record of publications or contributions in relevant fields, such as CVPR, ICCV, ECCV, NeurIPS, AAAI, etc.
  • Enjoyment in discovering and solving new problems in the field.
Please refer to the videos from KCCV 2022 and UMOS Day 2021 for insights into 42dot Autonomous Driving, our autonomous driving AI software.
Please upload all submission files in PDF format.
※ Please review the following information before applying.
ㆍHow to work in 42dot, About 42dot Way →ㆍ42dot's Employee Engagement Program, About Employee Engagement Program →
Apply now Apply later

* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

Job stats:  0  0  0

Tags: Architecture Autonomous Driving Computer Science Engineering Linear algebra Machine Learning Mathematics NeurIPS Privacy Python Research Robotics Statistics

Perks/benefits: Career development

Region: North America
Country: United States

More jobs like this