Senior Deep Learning Engineer – Computer Vision, Autonomous Vehicles

Jobtailor; California (MO); On-site; USD 120,000 - 170,000; Full time

Job summary

Jobtailor is seeking a machine learning researcher/engineer to advance deep learning for robotics and autonomous navigation. You will transform research into robust, production-ready models and collaborate with researchers and engineers to ship solutions.

You will define data requirements, build training pipelines, and support real-time inference using PyTorch, TensorFlow, TensorRT, Python, and C++. Strong communication and teamwork are essential for success in this dynamic environment.

Qualifications

• PhD with 1+ year, or MS with 5+ years in CS/CE or related field.
• Proven experience building robust software.
• Passionate about AI for robotics and autonomous navigation.
• Strive to learn new things and solve hard problems.
• Math knowledge and deep learning/ML experience.

Responsibilities

• Stay up to date with the latest research and innovations in deep learning, implement and experiment with new ideas.
• Foster collaborative partnerships with researchers and engineers, transforming research into robust ML models.
• Take approaches from initial evaluation to shipping.
• Define and collect training datasets.
• Build training pipelines and real-time inference run-times (PyTorch, TensorFlow, TensorRT, Python, C++).

Skills

Deep learning

Robotics

Computer vision

Planning/Control

C++

Python

Communication

Analytical skills

Team collaboration

Education

PhD with 1+ year

MS with 5+ years

Tools

PyTorch

TensorFlow

TensorRT

Python

C++

Job description

Responsibilities

• Stay up to date with the latest research and innovations in deep learning, implement and experiment with new ideas.
• Foster collaborative partnerships with our researchers and engineers, transforming innovative research into robust, industrial‑strength machine learning models.
• Taking approaches from initial evaluation and experimentation all the way to shipping.
• Defining and collecting training datasets.
• Building training pipelines and real‑time inference run‑times (PyTorch, TensorFlow, TensorRT, Python, C++).

Requirements

• PhD with 1+ year, or MS (or equivalent experience) with 5+ years, of relevant experience in Computer Science, Computer Engineering, or a related technical field.
• Proven experience building robust software.
• Passionate about Artificial Intelligence for robotics and autonomous navigation.
• Strive to learn new things and enjoy solving hard problems.
• Math knowledge.
• Experience in Deep Learning / Machine Learning.
• Background in Computer vision and/or Planning/Control.
• Programming and debugging skills in C++ and/or Python.
• Good communication and analytical skills.
• Ability to work with multiple teams in a dynamic environment.