Lead ML Engineer, Robotics Autonomy (Remote)

Serve Robotics; Ottawa (IL); On-site; USD 120,000 - 160,000; Full time

Job summary

Serve Robotics is seeking a Lead Machine Learning Engineer to design innovative training systems that work with large scale multimodal datasets. This remote role is essential for developing state-of-the-art neural network architectures and enhancing robotic delivery efficiency.

The ideal candidate will have a Master’s or PhD and at least 5 years of practical experience in machine learning, working primarily with distributed training frameworks and Python. Join us in reshaping urban delivery landscapes!

Qualifications

• Master’s or PhD in Computer Science, Robotics, or a related field.
• 5+ years of experience in training machine learning models.
• Proficient in Python and distributed training frameworks.

Responsibilities

• Design training systems for petabyte-scale datasets.
• Resolve bottlenecks in the training process.
• Collaborate with the ML team to develop neural network architectures.
• Monitor distributed training jobs across multiple GPUs.
• Preprocess large robotics datasets for model training.

Skills

Python programming

Machine learning model training

Distributed training frameworks

Data processing expertise

Education

Master’s or PhD in Computer Science or related field

Job description

Serve Robotics is seeking a Lead Machine Learning Engineer to design innovative training systems that work with large scale multimodal datasets. This remote role is essential for developing state-of-the-art neural network architectures and enhancing robotic delivery efficiency.

The ideal candidate will have a Master’s or PhD and at least 5 years of practical experience in machine learning, working primarily with distributed training frameworks and Python. Join us in reshaping urban delivery landscapes!