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Machine Learning Engineer

Remote: 
Full Remote
Contract: 
Full time
Work from: 
United States
ISEE logo
ISEE Scaleup https://www.isee.ai/
51 - 200 Employees
About ISEE
ISEE is an autonomous driving technology company, spun out of MIT, whose humanistic, AI-powered, self-driving yard trucks are modernizing the global supply chain for the world’s leading companies. ISEE autonomous yard trucks are helping customers like Maersk, Lazerspot, and Fortune 100 retail companies automate their logistics hubs and achieve even greater yard safety, cost savings, consistent driving performance, and reliable driving capacity. With proprietary technology that anticipates unexpected behavior better than any other solution on the market, ISEE is poised to become a leader in the $100B global autonomous yard truck market.
See more ISEE offers

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.

Required profile

Experience

Spoken language(s):
English
Check out the description to know which languages are mandatory.

Hard Skills

Presentation TrainingDeep LearningTensorFlowPyTorch (Machine Learning Library)Python (Programming Language)C++ (Programming Language)Caffe (Framework)

Other Skills

  • Verbal Communication Skills
  • Teamwork
Are you interested?

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