Deep Learning Engineer
Carbon Robotics2 days ago
Base Salary
$140k - $220k/yr
Responsibilities
- Lead the design and execution of experiments for deep learning architectures.
- Own model optimization and deployment pipelines for high performance.
- Drive end-to-end ML workflows from data strategy to production deployment.
- Define best practices for experimentation and model evaluation.
- Collaborate with Engineering and Product Management on feature delivery.
- Mentor and provide guidance to mid-level and junior engineers.
- Communicate model architecture decisions to technical and non-technical audiences.
Requirements
- 2-4 years of experience in deep learning for production computer vision systems.
- Deep understanding of deep learning mathematics and architecture decisions.
- Hands-on experience with sensor integration and web services in robotics.
- Proficiency in deep learning frameworks, especially PyTorch, and C++.
- Proven track record of ML projects from inception to business impact.
- Strong expertise in modern object detection techniques.
- Experience in autonomous driving or ADAS is a plus.
- Strong communication skills for explaining complex concepts.
- Experience mentoring engineers and contributing to team culture.
- BS+ in Computer Science, Machine Learning, or related field.
Benefits
- Competitive salaries.
- Pre-IPO stock options.
- Fully-paid medical, dental, and vision insurance for you and dependents.
- Flexible PTO.
- 401(k) plan.
- Inclusive company culture that values innovation.
Tech Stack
C++PyTorch
Categories
AI & MLData Science