Software Engineer

Software EngineerLocation: Remote, open to candidates based in the San Francisco Bay Area or London, EnglandEmployment Type: Full-timeCompensation: Starting at $200,000+We are looking for a hands-on Software Engineer to join an early-stage team building and scaling core systems that support data, research, and machine learning workflows. This role is ideal for an engineer who enjoys working close to the product, operating across infrastructure and application layers, and helping define direction through strong individual contribution.You will work in a fast-moving environment where systems are still taking shape. The ideal candidate is comfortable wearing multiple hats, making pragmatic technical decisions, and helping grow foundational platforms used by researchers and engineers alike.Key ResponsibilitiesDesign, build, and maintain data pipelines that support experimentation, training, and production workflowsWork with orchestration frameworks and scheduling systems to manage large-scale data and ML processesDevelop and operate Kubernetes-based infrastructure to support scalable services and toolingBuild and improve systems for model versioning, tracking, and reproducibilityCreate internal tools and platforms that enable researchers and engineers to move fasterOptimize performance and reliability across core services and pipelinesContribute directly to system architecture and technical strategy through hands-on workCollaborate closely with cross-functional partners in an early-stage, high-ownership environmentHelp establish best practices as systems and teams scaleQualificationsExperience building and maintaining data pipelines using tools such as Dagster, Flyte, or AirflowStrong experience working with Kubernetes and cloud-native infrastructureFamiliarity with model versioning, tracking, or ML experimentation platformsExperience building tooling for researchers, data scientists, or ML engineersStrong fundamentals in software engineering, system design, and performance optimizationComfort working in ambiguous, early-stage environments where requirements evolve quicklyPrior experience at an early-stage startup, helping grow and scale systems from the ground upAbility to drive direction and technical decisions through individual contributor workOpen to candidates at mid-level, senior, or staff scope, depending on experienceNice to HaveExperience supporting machine learning systems in productionBackground working on developer platforms or internal productivity toolsExposure to distributed systems, data-intensive platforms, or ML infrastructureExperience balancing rapid iteration with long-term maintainabilityCompensation & PerksBase salary starting at $200,000+Equity participationFully remote work environmentHigh degree of ownership and influence in an early-stage team