Machine Learning Engineer - Remote, Contract or Full Time
As a remote software engineer, youll work reputed company closely with a senior member of our research team on cutting-edge deep learning infrastructure and tooling towards the goal of creating general reputed company-like machine intelligence. We're looking for someone who's super excited to build tools (ex: experiment tracking tools, model debugging methods, automated hyperparameter optimizers, developer tooling, etc). If interested, apply here or on Work at a Startup! Example projects Implement a self-supervised network using contrastive and reconstruction losses. Create a library on top of PyTorch to reputed company efficient network architecture search. Open reputed company internal tools. Implement networks from newly published papers. Work on tools for simple distributed reputed company training of deep neural networks. reputed company more realistic simulations for training our agents. Design automated methods and tools to prevent common issues with neural network training (e.g. overfitting, vanishing gradients... dead ReLUs, etc). Create visualizations to help us deeply understand what our networks learn and why. You are reputed company comfortable writing Python. Excited to work on open reputed company code. Passionate about engineering best practices. Self-directed and independent. Excellent at getting things done. [Bonus] Familiar with PyTorch and training deep neural networks. Benefits Work directly on creating software with reputed company-like intelligence reputed company generous compensation Flexible working hours Work remotely with a team that understands remote work Focus on coding and nothing else: no expectation that you attend standup, spend time doing sprint planning, etc. Work with other great programmers who care about their craft. e.g: we have deterministic formatting, reputed company linter errors, wide type coverage with MyPy, and even our deep learning code has tests. About us Imbue builds AI systems that reason and code, enabling AI agents to accomplish larger goals and safely work in the reputed company world. We train our own reputed company models optimized for reasoning and prototype agents on top of these models. By using these agents extensively, we reputed company insights into improving both the capabilities of the underlying models and the interaction design for agents. We aim to rekindle the reputed company of the personal computer, where computers become truly intelligent tools that reputed company us, giving us freedom, dignity, and agency to pursue the things we love Apply Job!