Develop frontier language models and agents. Training, reinforcement learning, and inference in one system, on River Cloud or your own GPU cluster. Backed by General Catalyst.
About the role
We are looking for exceptional applied researchers to work directly with customers across industries to train and improve their own models. Your goal is to translate real-world problems, domain expertise, and customer data into models that deliver measurable value in their workflows. Found on 1752vc Careers, the job board for startup and VC roles.
What they're looking for
- BS, MS, or Ph.D. in Computer Science, Machine Learning, Mathematics, or equivalent practical industry experience
- Strong understanding of modern deep learning architectures and practical experience training, fine-tuning, and evaluating language or multimodal models
- Extensive hands-on experience with PyTorch or JAX, with a track record of writing clean, scalable code for model training and experimentation
- Proven ability to turn open-ended problems and imperfect real-world data into working models, using rigorous experiments and evaluation to guide decisions
- Strong communication and collaboration skills, with the ability to work directly with customers, learn new domains, and explain technical tradeoffs to technical and non-technical audiences
- A highly collaborative mindset, ownership of outcomes, and a bias for action in a fast-paced environment
More about this role
At River, our mission is to create personal AI owned and shaped by each individual. To achieve this, we are rewriting the entire stack from scratch: personal hardware for local inference, bespoke training infrastructure, next-generation UIs, and frontier deep learning research.
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.
We are looking for exceptional applied researchers to work directly with customers across industries to train and improve their own models. Your goal is to translate real-world problems, domain expertise, and customer data into models that deliver measurable value in their workflows.
You will own the applied research lifecycle, from defining the problem and preparing data to designing experiments, training models, and evaluating results. Working closely with customer teams and River's research and infrastructure teams, you will apply and adapt modern deep learning techniques to solve practical problems and help customers bring their models...
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