Research Engineer / Research Scientist

What you'll do

• Design, train, and evaluate foundation models for reasoning, multimodal understanding, and personalization.
• Research continual learning and develop data-efficiency, alignment, and parameter-efficient fine-tuning techniques.
• Scale experiments and novel architectures in partnership with the infrastructure team.

What they ask for

• BS, MS, or Ph.D. in Computer Science, Machine Learning, Mathematics, or equivalent practical industry experience.
• Deep understanding of modern deep learning architectures and advanced training methodologies.
• Hands-on experience with PyTorch or JAX and a track record of writing clean, scalable model-training code.
• Ability to take open-ended research problems from mathematical formulation to scaled implementations.

Nice to have

• Impactful publications at top-tier AI conferences or equivalent industry research breakthroughs.
• Expertise in continual learning, reinforcement learning, edge/on-device inference, or pre-training or aligning frontier-scale language or multimodal models.

Pay

$200,000 - $420,000 USD per year (base salary)

Tools

Transformers, diffusion models, PyTorch, JAX, RLHF, PEFT

AI focus

Research and develop personalized foundation models that continually learn from local user interaction, handle reasoning and multimodal tasks, and run efficiently on local hardware.