GauntletNew York, NYQuant Developer designing, implementing, deploying, and owning production vault strategies for onchain finance at Gauntlet. Full ownership of quantitative systems from research through live operation, risk management, and on-call monitoring. Requires production quant systems experience, strong Python, and applied statistics/optimization skills.
Build and ship production algorithmic systems that improve healthcare quality, access, and cost outcomes. The role combines machine learning, optimization, experimentation, and LLM productionization, requiring at least two years of relevant industry or advanced-degree experience.
Build and deploy production machine-learning models for fraud detection, identity verification, and financial risk products. The role suits new PhD graduates or early-career researchers with strong quantitative foundations, Python experience, and interest in owning the full ML lifecycle.
Build and maintain tooling, evaluation systems, quality gates, and infrastructure for MongoDB's agent skills and AI platform. Requires 2+ years building production software, developer tools, CLIs, test infrastructure, or CI/CD, with strong fundamentals in API design, testing, and reasoning about nondeterministic AI systems.
Build and maintain machine learning infrastructure for autonomy teams, including model pipelines, observability, inference serving, and compiler platforms. The role requires a relevant degree, at least one year of experience, strong Python skills, and familiarity with C++.
Build and operate the infrastructure powering large-scale machine-learning training for autonomous-driving systems. The role requires Python proficiency, Kubernetes production experience, distributed-systems expertise, and ownership of reliability, observability, and operational maturity.