Machine Learning Engineer, Computer Vision

What you'll do

• Design, train, and improve computer vision and VLM models for object understanding and recognition.
• Improve model robustness across real-world conditions and devices, using real data to identify and fix failures.
• Define product-quality evaluations and design models for on-device memory, latency, and power constraints.

What they ask for

• Master's or Ph.D. in Computer Science, Machine Learning, Computer Vision, or a related field, or equivalent industry experience.
• Strong foundations in computer vision and deep learning, with end-to-end project experience spanning data, training, and evaluation on real-world visual data.
• Proficiency in Python and PyTorch or an equivalent deep learning framework.
• Proficiency with generative coding tools and rigorous experimentation, including clear baselines, ablations, and meaningful evaluation sets.

Nice to have

• Publications at top computer vision or machine learning venues, ideally with released code or product transfer.
• Experience with representation learning, industry or product ML, knowledge distillation or model compression, or vision-language models.

Pay

$150,400 and $277,600 (USD, base salary)

Tools

Python, PyTorch

AI focus

Develop and deploy computer vision and vision-language models for object recognition and understanding, including models that run on-device.