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Automobil
Machine Learning (Advance Development & Planning) Engineer
Mountain View, United States
Unbefristeter Arbeitsvertrag
Industrialisation/Manufacturing Engineering
03/10/2022
Bewerben

Job Description

  • Implement machine learning/ deep learning models (supervised learning, reinforcement learning) for the following tasks: 2D/3D object detection, semantic segmentation, depth estimation, traffic (time or speed) prediction and driving behavioral learning etc.
  • Train and evaluate the developed machine learning model from large set of images/videos, build end-to-end training, testing, and evaluation pipelines.
  • Manipulate high-volume, high-dimensionality, structured data from the vehicles for training and testing deep networks.
  • Produce high quality tested code that enables large scale research and can be transferred to physical vehicles deployed in the real world.
  • Stay up to date on the state-of-the-art in Deep Learning ideas and software, in collaboration with our Researchers.
  • Coding, proof-of-concept (POC) and demo deep learning applications with our test vehicle platform.
  • Work in a multidisciplinary team and collaborate with other teams across the research lab.

Qualifications

  • Master's Degree in Computer Science/Electrical Engineering, Math, or related field.
  • Masters with at least 1-2 years of experience.
  • Strong software engineering practices in Python with machine learning experience in a production setting.
  • Strong Machine Learning background with deep understanding of different types of machine learning algorithms (e.g., CNN, RNN, LSTM, Transformer, and Reinforcement Learning). Experience of training deep-learning models in an end-to-end fashion.
  • Project experience working with Pytorch, Tensorflow or other modern deep learning frameworks.
  • Computer Vision expertise.
  • Proficient in Python and Linux is a minimum.
  • Additional knowledge of C++ / CUDA is a plus, experience with AWS as well.
  • Clear grasp on basic Linear Algebra, Optimization, Statistics, and Algorithms.
  • Familiar with Python development co-system including opencv, numpy, scipy, pandas, sklearn etc and comfortable with development in Linux and Windows.
  • Excellent verbal and written communication skills.
  • (Optimal) Implemented state-of-the-art models from research papers (share paper/repos if you can).
  • (Optimal) Experience with Deep Reinforcement Learning, Multi-agent distributed reinforcement learning.
  • (Optional) Experience with computer vision and large-scale distributed training.
  • (Optimal) Publication in robotics/ML/CV conference.
Vorteile
Eine erfolgreiche und inspirierende Karriere
Lernen durch spannende Fortbildungen
Raum für Ideen
Die Vereinbarkeit von Beruf und Privatleben

Company Description

MUST be authorized to work in the United States for any employer.

MUST be available to start working within 3 weeks of offer acceptance date.

SEGULA TECHNOLOGIES is hiring a Machine Learning (Advance Development & Planning) Engineer to join our growing team in Mountain View, CA.

We offer a competitive salary and benefits plan, and great opportunities for career growth!

With a global presence in 28 countries with 140 offices worldwide, SEGULA GROUP fosters a close relationship with its customers thanks to the expertise of its 11,000 employees.

SEGULA TECHNOLOGIES is an Engineering and Design Services company with a proven ability to boost innovation and competitiveness within the major industrial sectors, including Automotive, Aerospace & Defense, Energy, Rail, Naval, Pharmaceutical, and Oil and Gas.

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