Remote Data Jobs • Software Engineering

Design scalable software systems with a focus on quality, performance, and maintainability. Lead systems architecture decisions, ensuring the design aligns with business requirements and technical standards. Collaborate with Research Leads and Product Owners to gather requirements, design ML pipelines and coordinate the software delivery.

As an ML scientist at E11 Bio, you will develop innovative and scalable methods to realize the potential of optical barcode connectomics. This role is ideal if you value exciting and important work in an environment with high camaraderie, trust, and autonomy. You will develop machine learning models to automate the processing of large microscopy volumes and deploy developed models in large cluster or cloud environments.

The Data Scientist in this role will be primarily embedded within Wealthfront’s Investing area to confidently grow, preserve, and manage wealth by making the most effective investing strategies more convenient, accessible, and affordable. Responsibilities include formulating project plans, interpreting statistical results, and collaborating with stakeholders. The ideal candidate will enhance overall Data Science team execution through hands-on help, design feedback and peer review.

Shape the future of AI by training large-scale language models in computer science, software engineering, and related topics. Challenge models, verify accuracy, and suggest improvements in areas like object-oriented programming, Git, API design, and data pipelines. Document failure modes and contribute to prompt engineering and evaluation metrics.