AI Researcher — Multimodal Sensor Foundations

Pivots Hiring

San Mateo (CA)

On-site

USD 180,000 - 240,000

Full time

3 days ago
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Job summary

Archetype AI is shaping the next generation of foundation models for real-world sensor data. We seek an AI Researcher to design, train, and interpret large-scale models that learn from raw sensor streams and multimodal inputs, enabling systems that reason about the physical world.

Join a fast-growing Silicon Valley team, bridging research and production with collaboration across engineering and product teams to deploy core AI technologies in real-world applications.

Qualifications

  • 8+ years of experience building ML/AI systems with real-world sensor data.
  • Deep learning expertise in transformers and representation learning.
  • Strong research and experimentation skills with new approaches.
  • Proficient in Python and PyTorch for experimentation.
  • Ability to move quickly from idea to prototype.
  • Experience working in fast-paced, distributed teams.
  • Excellent written and verbal communication.

Responsibilities

  • Design and train foundation models for sensor data, including multimodal architectures.
  • Develop representation learning and self-supervised methods for raw sensor streams.
  • Adapt pretrained models to new datasets and sensing modalities with trade-offs.
  • Identify failures and design experiments to drive improvements.
  • Collaborate with engineers and product teams to deploy research to production.

Skills

ML/AI systems
Transformers
Representation learning
Large-scale model training
Python
PyTorch
Experimentation
Communication skills

Job description

Archetype AI is shaping the next generation of foundation models for real-world sensor data. We seek an AI Researcher to design, train, and interpret large-scale models that learn from raw sensor streams and multimodal inputs, enabling systems that reason about the physical world.

Join a fast-growing Silicon Valley team, bridging research and production with collaboration across engineering and product teams to deploy core AI technologies in real-world applications.

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