Job Title: Machine Learning Engineer

Company Name: ISEE

Job Url: https://hiring.cafe/viewjob/nryeuem9ja4tpv68

Job Description: Machine Learning Engineer
@ ISEE
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Website
United States
Remote
Full Time
Responsibilities:
working sensing, prototype deployment, collaborating testing
Requirements Summary:
Experience deploying deep learning models at scale; strong Python/C++; degree in CS/EE/Robotics; interest in self-driving vehicles.
Technical Tools Mentioned:
PyTorch, TensorFlow, Caffe, Python, C++, Computer Vision

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Job Description
ISEE is seeking a full-time Machine Learning Engineer to join our team. The ideal candidate has several years of work experience.

Role responsibilities include:
- Working on the intersection of sensing and perception algorithms.
- Prototyping and deploying robust computer vision algorithms on ISEE’s vehicle fleet in areas of: Sensor calibration, localization and mapping, fusion, tracking and pattern recognition.
- Benchmarking and maintaining developed modules.
- Work independently to deliver high-quality code in a timely fashion.
- Collaborate with team for testing, evaluation and review of code.

Required Qualifications
- Degree in Computer Science, Electrical Engineering, Robotics or related field.
- Experience in deploying deep learning models at scale on real-world data in at least one of these deep learning frameworks: PyTorch, Tensorflow, Caffe.
- Hands-on experience with developing, training and deploying deep learning models in multimodal (sensors space and temporal) real world data.
- Strong Python and/or C++ skills.
- Passionate about self-driving vehicles and real-world robotic solutions.
- Strong presentation and communication skills.

Preferred
- Publication record in top-tier computer vision or machine learning conferences.
- 3+ yrs industrial experience in deploying Computer Vision/Deep learning algorithms in real-world scenarios.
- Robotics/autonomous experience is a plus.


ISEE is seeking a full-time Machine Learning Engineer to join our team. The ideal candidate has several years of work experience.

Role responsibilities include:
- Working on the intersection of sensing and perception algorithms.
- Prototyping and deploying robust computer vision algorithms on ISEE’s vehicle fleet in areas of: Sensor calibration, localization and mapping, fusion, tracking and pattern recognition.
- Benchmarking and maintaining developed modules.
- Work independently to deliver high-quality code in a timely fashion.
- Collaborate with team for testing, evaluation and review of code.

Required Qualifications
- Degree in Computer Science, Electrical Engineering, Robotics or related field.
- Experience in deploying deep learning models at scale on real-world data in at least one of these deep learning frameworks: PyTorch, Tensorflow, Caffe.
- Hands-on experience with developing, training and deploying deep learning models in multimodal (sensors space and temporal) real world data.
- Strong Python and/or C++ skills.
- Passionate about self-driving vehicles and real-world robotic solutions.
- Strong presentation and communication skills.

Preferred
- Publication record in top-tier computer vision or machine learning conferences.
- 3+ yrs industrial experience in deploying Computer Vision/Deep learning algorithms in real-world scenarios.
- Robotics/autonomous experience is a plus.
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