Senior Machine Learning Engineer building and deploying production GenAI, agentic systems, LLMs, and computer vision models for mission-critical public sector and defense applications at Scale AI. Requires active security clearance, extensive production ML experience, and strong Python/TF/PyTorch skills.
Senior ML Engineer building observability, evaluation frameworks, and improvement loops for production agentic AI systems. Requires 5+ years production ML/LLM experience, strong grounding in agent design or evaluation, and hands-on work taking systems from prototype to scale.
Build platform infrastructure for observing, evaluating, and improving production AI agents at scale. Requires 4+ years software engineering experience with ML/LLM systems, strong backend/distributed systems skills, and collaboration with ML engineers.
Design domain-specific problems and datasets to evaluate advanced generative AI models, provide expert insights for improvement, and co-author research publications. Requires 5+ years software engineering or equivalent expertise with strong coding in Python, Java, Rust, etc.
Leads development of agentic AI systems for public sector, including guardrails, data processing, and fleet orchestration for federal datasets. Mentors engineers, defines technical strategy, and communicates with stakeholders to ensure reliable, secure solutions.
Leads cross-functional strategic projects in Generative AI to drive multimillion-dollar revenue, owning data labeling operations and product enhancements. Requires 2+ years experience, strong technical skills in SQL/Python, and entrepreneurial mindset.
Designs and builds scalable platforms for serving foundation models in robotics and autonomous vehicles. Requires 4+ years in ML infrastructure, backend systems, GPU optimization, and cloud technologies.
Build and scale full-stack systems for Scale AI's Generative AI Data Engine, owning contributor platform features that power high-impact datasets for LLMs. Requires 5+ years experience with React, TypeScript, Node.js, and strong product sense in a hybrid SF/NY environment.
Designs, builds, and deploys production-ready AI agents using LLMs, tool use, and reasoning for enterprise problems. Requires 5+ years ML experience, Python proficiency, and Bachelor's in CS/ML/AI.
Develops synthetic data pipelines, production trace agents, and automated agent-building frameworks for enterprise GenAI. Requires 3+ years LLM production experience, top conference publications, and advanced CS degree.
Build and scale enterprise Generative AI platform, owning large product areas across backend, frontend, LLMs, and ML models. Requires 4+ years experience, proficiency in Python/JavaScript/SQL, Kubernetes, and cloud providers.
Builds and optimizes distributed frameworks for LLM training and inference on Scale's RLXF platform. Collaborates with ML teams to accelerate research, requiring expertise in PyTorch, CUDA, transformers, and large-scale distributed systems.
Leads development and optimization of distributed frameworks for LLM post-training, training, and inference. Collaborates with ML teams to enable advanced model development and data curation, requiring expertise in large-scale ML systems and tools like PyTorch and CUDA.
Staff engineer owns large product areas in enterprise GenAI platform, working across backend, frontend, LLMs, and ML models. Solves scalability challenges with 7+ years experience in Python/JS, Kubernetes, and cloud providers.
Senior Machine Learning Engineer building and deploying production GenAI, agentic systems, LLMs, and computer vision models for mission-critical public sector and defense applications at Scale AI. Requires active security clearance, extensive production ML experience, and strong Python/TF/PyTorch skills.
Senior ML Engineer building observability, evaluation frameworks, and improvement loops for production agentic AI systems. Requires 5+ years production ML/LLM experience, strong grounding in agent design or evaluation, and hands-on work taking systems from prototype to scale.
Build platform infrastructure for observing, evaluating, and improving production AI agents at scale. Requires 4+ years software engineering experience with ML/LLM systems, strong backend/distributed systems skills, and collaboration with ML engineers.
Design domain-specific problems and datasets to evaluate advanced generative AI models, provide expert insights for improvement, and co-author research publications. Requires 5+ years software engineering or equivalent expertise with strong coding in Python, Java, Rust, etc.
Leads development of agentic AI systems for public sector, including guardrails, data processing, and fleet orchestration for federal datasets. Mentors engineers, defines technical strategy, and communicates with stakeholders to ensure reliable, secure solutions.
Leads cross-functional strategic projects in Generative AI to drive multimillion-dollar revenue, owning data labeling operations and product enhancements. Requires 2+ years experience, strong technical skills in SQL/Python, and entrepreneurial mindset.
Designs and builds scalable platforms for serving foundation models in robotics and autonomous vehicles. Requires 4+ years in ML infrastructure, backend systems, GPU optimization, and cloud technologies.
Build and scale full-stack systems for Scale AI's Generative AI Data Engine, owning contributor platform features that power high-impact datasets for LLMs. Requires 5+ years experience with React, TypeScript, Node.js, and strong product sense in a hybrid SF/NY environment.
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Designs, builds, and deploys production-ready AI agents using LLMs, tool use, and reasoning for enterprise problems. Requires 5+ years ML experience, Python proficiency, and Bachelor's in CS/ML/AI.
Develops synthetic data pipelines, production trace agents, and automated agent-building frameworks for enterprise GenAI. Requires 3+ years LLM production experience, top conference publications, and advanced CS degree.
Build and scale enterprise Generative AI platform, owning large product areas across backend, frontend, LLMs, and ML models. Requires 4+ years experience, proficiency in Python/JavaScript/SQL, Kubernetes, and cloud providers.
Builds and optimizes distributed frameworks for LLM training and inference on Scale's RLXF platform. Collaborates with ML teams to accelerate research, requiring expertise in PyTorch, CUDA, transformers, and large-scale distributed systems.
Leads development and optimization of distributed frameworks for LLM post-training, training, and inference. Collaborates with ML teams to enable advanced model development and data curation, requiring expertise in large-scale ML systems and tools like PyTorch and CUDA.
Staff engineer owns large product areas in enterprise GenAI platform, working across backend, frontend, LLMs, and ML models. Solves scalability challenges with 7+ years experience in Python/JS, Kubernetes, and cloud providers.