Research Scientist

What you'll do

• Design architectures, algorithms, and systems for multimodal pre-training; develop RL and post-training methods to scale test-time compute.
• Research efficient inference, including streaming systems, compression, distillation, and quantization.
• Create evaluation frameworks to measure real-world model performance.

What they ask for

• BS, MS, PhD in Machine Learning, Computer Science, or related field (or equivalent research experience)
• Strong publication record in multimodal learning, transfer learning, or deployment of ML systems
• Experience with modern deep learning frameworks (PyTorch, JAX, TensorFlow)
• Track record of implementing and scaling large neural network architectures

Nice to have

• Experience deploying ML models in production environments
• Familiarity with model optimization techniques (pruning, quantization, distillation)

Pay

$180,000 to $250,000 USD base salary

Tools

PyTorch, JAX, TensorFlow

AI focus

Research and develop multimodal AI models that understand and reason across text, images, audio, and sensor data, including pre-training, RL and post-training, efficient inference, and real-world evaluation.