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Lead a team to build and maintain AI-powered consumer intelligence platforms using Python and React, processing large-scale social and review data to deliver actionable insights for P&G’s brands.
Build and ship production-grade agentic AI systems that automate financial workflows and power LLM features for tens of millions of customers, using Python, Go, and TypeScript on AWS/GCP.
Python Developer role focused on building AI Evaluation Frameworks, working on global projects in a supportive, flexible tech environment.
Build full-stack AI applications for public-sector clients, deploying on-site to integrate LLMs and cloud infrastructure with React, TypeScript, and Python.
Research and develop AI agents that interact with browsers, code repositories, and GUI tools using LLMs and reinforcement learning, aiming to publish findings and ship scalable solutions.
Senior technical leader designing and deploying enterprise-scale AI solutions for Fortune 500 clients, bridging business needs with Scale’s AI platforms and influencing product direction.
Solutions Engineer at Scale AI designs and delivers tailored GenAI demos and pilots for enterprise clients, scoping technical requirements and securing technical wins through close collaboration with sales, product, and engineering teams.
Owns the end-to-end delivery of Scale AI’s Generative AI Platform (SGP), aligning engineering, product, and leadership to ship scalable, secure infrastructure for high-throughput AI workloads.
Designs and deploys AI-powered applications using large language models for internal teams, bridging engineering and product while ensuring safe, responsible integration.
Designs and implements AI-powered solutions using large language models for SpaceX’s internal teams, focusing on integration, testing, and responsible deployment.
Design, deploy, and maintain AI systems (LLMs, agentic workflows) that power SpaceX’s operations, from prototype to production, while collaborating with engineering and operations teams.
Build and deploy AI-powered applications for SpaceX’s mission-critical systems, including LLMs and agentic workflows, to accelerate launch operations and Starlink services.
Build and maintain the real-time, distributed software stack for SpaceX’s Starmind satellites, which combine solar-powered AI compute with autonomous satellite operations.
Design and implement embedded control systems for AI satellites, including attitude control, state estimation, and flight software in C++ for SpaceX's Starmind constellation.
Design and automate tests for space-grade hardware powering AI satellites, using Python and lab instruments to validate reliability and performance in extreme orbital conditions.
Design and operate optical metrology systems to validate space-grade optical hardware for AI satellites, automate tests, and troubleshoot issues.
Build secure, defensible software for Starlink’s satellites, ground systems, and user hardware, focusing on cryptography, OS security, and incident response.
Build and validate the custom compute hardware, power systems, and thermal radiators that will power SpaceX’s orbital AI data centers, integrating avionics and ensuring reliability in space.
Designs and optimizes large-scale AI inference systems for SpaceX’s mission-critical applications, focusing on distributed infrastructure, low-latency model serving, and GPU-level optimizations to accelerate internal AI workloads.
Owns end-to-end delivery of enterprise AI agent programs, aligning engineering, product, and execs while managing timelines, risks, and cross-team dependencies.
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