Research Engineer / Research Scientist

About the role

We are looking for exceptional researchers to design and train the foundation models that power River's personal AI. Your goal is to push the frontier of deep learning, focusing on architectures that can continuously learn, deeply personalize, and run efficiently on local hardware. You will take ownership of the research lifecycle from ideating novel algorithms to scaling large training runs, ensuring our AI evolves alongside the user to become a true extension of their will.

Location: Palo Alto, California.

Responsibilities

• Design, train, and evaluate novel foundation models optimized for reasoning, multimodal understanding, and extreme personalization.
• Pioneer research in continual learning, enabling models to adapt in real-time based on local user interaction without catastrophic forgetting.
• Develop advanced techniques for data efficiency, alignment (e.g., RLHF), and parameter-efficient fine-tuning (PEFT) targeting our bespoke personal hardware.
• Partner directly with the infrastructure team to rapidly scale and unblock experimental architectures across large compute clusters.

Requirements

• BS, MS, or Ph.D. in Computer Science, Machine Learning, Mathematics, or equivalent practical industry experience.
• Deep understanding of modern deep learning architectures (e.g., Transformers, diffusion models) and advanced training methodologies.
• Extensive hands-on experience with PyTorch or JAX, with a track record of writing clean, scalable code for model training.
• Proven ability to take open-ended research problems from mathematical formulation to working, scaled implementations.
• A highly collaborative mindset and a bias for action to push boundaries in a fast-paced environment.

Qualifications

• Track record of impactful publications at top-tier AI conferences (e.g., NeurIPS, ICLR, ICML) or equivalent industry research breakthroughs.
• Specific expertise in continual learning, reinforcement learning, or optimizing models for edge/on-device inference.
• Experience pre-training or aligning frontier-scale language or multimodal models.

Benefits

• Comprehensive health, dental, and vision insurance
• Unlimited PTO
• Relocation assistance as needed
• Visa sponsorship (we sponsor visas and are committed to supporting the process for the right candidate)

Pay

Depending on experience and skills the expected base pay is $200,000 - $420,000 USD per year.