What are the responsibilities and job description for the Senior Deep Learning Engineer position at Robotic Research Llc?
Company Overview:
Robotic Research is a global leader in self-driving technology. Built from decades of experience with the DoD, our AutoDrive® autonomy kit was designed to tackle the industry’s greatest challenges, from GPS-denied environments to mixed-traffic and unpaved roads. Robotic Research’s rebranded commercial division, RR.AI, works with trusted OEM partners to deliver these autonomous solutions across the United States, Canada, Australia, Europe, and Saudi Arabia. We are leading this dynamic revolution in technology with team members throughout the U.S including our main offices in Clarksburg, MD and San Antonio, TX.
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.
Diversity and Equal Opportunity Statements: Robotic Research is an Equal Opportunity Employer: all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against on the basis of disability.
