SWE (Research team)

the team. Elevate Code Maturity & Quality : Lead the transition of our core research codebase from an early-stage experimental state to a highly scalable, maintainable and robust engineering standard. You will proactively manage technical debt, ensure experiment reproducibility, and drive overall code quality. Maintain Documentation: Develop and maintain clear, comprehensive documentation for our research infrastructure and systems. Collaborate Cross-Functionally: Ensure precise interactions of the research codebase with other code at Fundamental to translate research breakthroughs into tangible, real-world impact. Guard the research–engineering contract: Build and own the testing layer that runs alongside model development: CI, contract tests, and verification that catch when research changes break the interfaces engineering depends on. Bugs should surface in PRs, not in production. Must have 5+ years of software engineering experience, with meaningful time on ML or data-intensive backends, training pipelines, distributed inference, feature infrastructure, or similar. Strong software architecture skills including modular design, clean interfaces, and design patterns for maintainable research codebases. Excellent communication skills with a proven ability to discuss complex technical ideas clearly and collaborate effectively across interdisciplinary teams. Expert-level proficiency in Python and deep familiarity with PyTorch. Hands-on experience with the modern ML research tech stack and cloud infrastructure (e.g., cloud providers (AWS, GCP), Weights & Biases, Datadog, Kubernetes, ArgoCD, GitHub Actions). Demonstrated track record of developing and utilizing solutions for robustness and quality assurance within software and/or ML systems. Mission-driven mindset , motivated by the prospect of real-world impact and a relentless focus on excellence in software development.

Nice to have Familiarity with MLOps best practices, CI/CD for machine learning, and infrastructure-as-code (e.g., Terraform). Experience working in an early-stage, fast-paced startup environment. A background or strong interest in tabular data, data engineering, or enterprise data architecture. Experience with other programming languages (Rust, C++, Go) Contributions to open-source machine learning libraries, frameworks, or tools. Bachelor's degree in Computer Science, Software Engineering or a STEM field

Benefits Competitive

compensation with salary and equity Comprehensive health coverage, including medical, dental, vision, and 401K Paid parental leave for all new parents, inclusive of adoptive and surrogate journeys Relocation support for employees moving to join

the team in one of our office locations A mission-driven, low-ego culture that values diversity of thought, ownership, and bias toward action

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