Master's degree or higher in computer science or engineering.
4+ years of relevant academic or professional experience.
Proficient in deep learning frameworks like PyTorch or TensorFlow.
Strong software development skills in C++ and Python.
Knowledge of deep learning topics including segmentation and temporal analysis.
Responsibilities
Develop real-time solutions for various perception tasks.
Research deep learning applications for detection and perception.
Analyze real-world data to understand new perception challenges.
Build deep learning models to predict road user behavior.
Collaborate creatively in model development.
Benefits
Company holidays and paid time off.
Flexible working hours.
Health benefits with medical, dental, and vision plans.
401k plan with employer match up to 4%.
Tuition reimbursement and relocation assistance.
Full Job Description
Location: Clarksburg, MD
Position Responsibilities:
The Senior Deep Learning Engineer will be responsible for...
Develop novel and efficient real time solutions for a wide variety of perception tasks for autonomous vehicles.
Research and apply deep learning to detection and perception challenges
Understand new perception challenges by analyzing the real world data collected on our vehicle fleet.
Creatively and collaboratively build deep learning models that can predict the future behavior of other road users in real-time
Required Skills and Abilities:
Knowledge of deep learning topics such as detection, segmentation, pose estimation, and spatio- temporal analysis.
Experience in applying deep learning on autonomous vehicles.
Experience with deep learning training and inferencing for production systems
Experience with at least one existing deep learning frameworks like Pytorch, Tensorflow, Caffe or other relevant machine learning libraries.
Software development experience in C++ and python
Education and Experience:
A Master's degree or higher in computer science, engineering, software engineering, or equivalent industrial experience
4+ years of similar academic and/or professional working experience
Preferred Qualifications:
Experience with setting up automation frameworks
Experience in traditional ML methods (eg, regression, decision trees, and kernel methods) and strong knowledge of optimization.
Telework Opportunities: On-site preferred but will consider remote work.
Travel: If remote, travel to the office in Clarksburg, MD will be required. If on-site, no travel is expected for this position.
Benefits:
Robotic Research is excited to offer the following benefits:
Company holidays
Flex time
Paid time off
Health benefits including competitive medical, dental, vision plans
401k employer matchup to 4%
Employer paid short-term and long-term disability insurance
Employer paid basic life insurance
Voluntary life insurance
Relocation reimbursement for qualifying situations
Tuition reimbursement
Annual bonus and profit sharing (not guaranteed - at discretion of executive team)
Employee Assistance Program
All benefits subject to change and must be in compliance with current Robotic Research OpCo, LLC policies - please discuss with a member of the Robotic Research HR team for details.
