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(Looking for candidates who can work on our W2)
(Onsite in 2 months on Hybrid model)
Job description:
Education and Skills Requirements:
· Deep Learning – experience with CNNs, RNN, LSTMs and the latest research trends
· Machine Learning – strong fundamentals in machine learning including reinforcement leaning, imitation learning, etc.
· Experience with data gathering, data quality, system architecture, coding best practices
· Experience with Python, Pytorch or Tensorflow, keras
· Big Data and cloud experience strongly preferred
· Experience with distributed systems, GPU programming
Education:
· Master of Science Degree in Engineering, Computer Science or related field.
· PhD strongly preferred.
Job Responsibilities:
Duties & Responsibilities:
This role will be tasked with applying machine learning/deep learning to the automotive industry. Applications could include autonomous driving, manufacturing, material design etc. This is more than a purely academic role – you will likely need to integrate the modules you build into real cars and also think about questions around testability and proving safety.
Major tasks include and not limited to:
· Evaluate cutting edge AI/ML method and techniques
· Build functional SW prototypes
· Document and present the milestones and deliverables.
Job Type: Contract
Salary: Up to $80.00 per hour
Benefits:
- Dental insurance
- Health insurance
- Vision insurance
Schedule:
Ability to commute/relocate:
- Belmont, CA 94002: Reliably commute or planning to relocate before starting work (Required)
Experience:
- CONVOLUTIONAL NEURAL NETWORK: 1 year (Preferred)
- AI: 1 year (Preferred)
- Machine learning: 1 year (Preferred)
Work Location: One location
