Machine Learning Algorithm Engineer

What you'll do

• Develop and evaluate generative AI systems and sensing algorithms for signals such as time series and images, and advance them into products.
• Design statistically rigorous evaluations and build data pipelines for sensor datasets, including collection, labeling, and quality control.
• Collaborate with firmware and software engineers across the product lifecycle and communicate findings and recommendations.

What they ask for

• BS in Computer Science, Electrical Engineering, or a related STEM field.
• At least 3 years of relevant industry or research experience.
• Hands-on experience developing generative AI models or systems beyond tutorials, and experience with real-world sensor or physical measurement data.
• Strong foundation in digital signal processing and time-series analysis; strong Python skills and proficiency with a modern deep learning framework such as PyTorch.

Nice to have

• MS or PhD in a related field, with publications, open-source contributions, or shipped generative AI products.
• Experience training ML models on sensor or other data at scale on GPU clusters; LLM-based research assistants; C/C++ or embedded systems.

Pay

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

Tools

Python, PyTorch, C/C++, GPU clusters

AI focus

Research, develop, and evaluate generative AI models and systems for physical signals, including time series and images, and bring them into production.