River
Member of Technical Staff, Research
Palo Alto, CA · Staff+
H1B sponsorship available$200k-$420kDetected 25 days ago
AlgorithmsMachine LearningDeep LearningPyTorchNLPLogisticsResearch
About the role
- 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.
Responsibilities
- Design, train, and evaluate novel foundation models optimized for reasoning, multimodal understanding, and extreme personalization.
- 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
- 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.
Nice to have
- (We encourage you to apply even if you don't meet all of these)
- Track record of impactful publications at top-tier AI conferences (e.g., NeurIPS, ICLR, ICML) or equivalent industry research breakthroughs.
- Experience pre-training or aligning frontier-scale language or multimodal models.
- and relocation assistance as needed.
- Visa Sponsorship: We sponsor visas and are committed to supporting the process for the right candidate.
Compensation
- Depending on experience and skills the expected base pay is $200,000 - $420,000 USD per year.
Benefits
- Comprehensive health, dental, and vision insurance; unlimited PTO; and relocation assistance as needed.
- Pioneer research in continual learning, enabling models to adapt in real-time based on local user interaction without catastrophic forgetting.
- 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.
Company info
- We are scientists, engineers, and builders from the industry's top tech companies and AI labs.
- We bring a proven track record of scaling consumer systems for hundreds of millions of users and architecting the pre-training infrastructure behind today's frontier models.
- At River, our mission is to create personal AI owned and shaped by each individual.
- personal hardware for local inference, bespoke training infrastructure, next-generation UIs, and frontier deep learning research.
- We are looking for exceptional researchers to design and train the foundation models that power River's personal AI.
Visa & Work Authorization
- We sponsor visas and are committed to supporting the process for the right candidate.
This listing is sourced directly from River's careers page and normalized into a canonical job model.