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  1. ENGINEERING
  2. Autonomous Driving
Machine Learning Engineer (Auto Labeling)
Mountain View, United States
42dotFull-time

We are looking for the best

At 42dot, our 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 assess algorithm performance accurately.

  • 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 5 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

Interview Process

  • Application Review - 1st interview - 2nd interview - 3rd interview - Offer Negotiation - Hiring

  • Screening procedures may be operated differently for each job and may vary depending on the schedule and situation.

  • The screening schedule and results will be notified individually by email registered on the application form.

Additional Information

  • In accordance with fair hiring practices, do not include any personal information unrelated to your job qualifications (e.g., Social Security Number, family relations, marital status, age, photo, physical condition, place of birth, etc.) in your resume.

  • All documents must be submitted in PDF format and under 30MB in size.

  • If you experience issues uploading your resume, please send it along with the job posting URL to recruit@42dot.ai.

  • We strongly encourage applications from U.S. veterans and candidates eligible for employment preference under applicable laws.

  • Qualified individuals with disabilities are encouraged to apply and will receive consideration under the Americans with Disabilities Act (ADA).

  • 42dot does not accept unsolicited resumes and will not pay fees for any such submissions. Equal Opportunity Statement

  • 42dot is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees, regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or veteran status.

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