Machine Learning Engineer

Job Summary

Bringing strong ML engineering skills and a research mindset, the full-time remote Machine Learning Engineer will own models end to end, build training pipelines for multimodal datasets, and partner with the engineering team to deploy and improve models in production.

Key responsibilities

• Own models end to end: data, training, evaluation, and deployment into the annotation pipeline
• Build training pipelines for large, multimodal datasets, including video, sensor streams, and language
• Collaborate with the Head of Engineering and the computer vision team to deploy and enhance models

Required qualifications

• BS in Computer Science, Electrical Engineering, Mathematics, Aerospace, or a related field; MS is a plus
• 2+ years of hands-on experience training deep learning models on real-world data
• Strong proficiency in Python and a modern deep learning framework such as PyTorch or JAX
• Solid grounding in ML fundamentals, including architectures, optimization, loss design, and evaluation
• Comfort with messy, real-world data such as video, time series, or sensor streams