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Lead and support AI-based weather and climate modeling, training, evaluation, and deployment while analyzing large datasets and ensuring physical consistency in predictions.
Lead quality engineering for a cloud-based fintech platform, designing AI-driven automation frameworks to validate microservices, APIs, and AI/ML features across the money lifecycle.
Build and maintain production-grade LLM evaluation frameworks and pipelines for a legal-focused AI analytics platform, continuously benchmarking models and optimizing document understanding and summarization workflows.
Lead the design and deployment of advanced AI/ML models and statistical solutions for government missions, working on-site to extract insights from complex datasets using Python, R, and SQL.
Build and validate AI/ML datasets for defense research, annotating multi-modal data and creating pipelines to ensure model readiness in operational environments.
Lead the machine-learning systems that rank, recommend, and retrieve restaurants and menu items for millions of diners, using deep learning, embeddings, and LLMs to optimize conversion and long-term value.
Build and tune compound AI systems for Moveworks’ enterprise agent platform, focusing on agent reliability, latency, and end-to-end quality rather than just model training.
Build and tune compound AI systems for an enterprise agent platform, focusing on reliability, latency, and end-to-end performance rather than just model training.
Build and tune compound AI systems for Moveworks’ enterprise assistant, focusing on agent reliability, latency, and end-to-end quality using LLMs, vector DBs, and eval-driven engineering.
Lead the development of AI-powered clinical decision support tools that help clinicians quickly find trusted medical evidence and make informed decisions.
Build and fine-tune AI models for security alert triage and risk scoring using enterprise telemetry, then deploy a multi-model routing layer that keeps costs predictable while improving accuracy over time.
Build and maintain AI/ML models for AML, sanctions screening, and financial crime detection using Python and SQL, while ensuring regulatory compliance and explainability.
Develops and deploys production AI systems for retail shelf intelligence, focusing on computer vision tasks like object detection, OCR, and product recognition to improve inventory accuracy and retail operations.
Build AI-driven cybersecurity tools by developing agentic systems, LLMs, and ML models to detect and respond to threats for SOC/SIEM/SOAR platforms.
Build and scale AI-powered agent systems and backend services for a climate-focused SaaS platform using Python, Django, and AWS, with LLM frameworks like LangGraph and LangChain.
Build and deploy ML models to match renters with properties, improve marketplace ranking, and optimize renter acquisition and partner supply using Python, SQL, and cloud platforms.
Design and integrate AI models into transportation infrastructure software, ensuring outputs meet civil engineering standards and improving data quality for safer, smarter cities.
Build and deploy AI-driven content safety systems that protect users from harmful content using ML pipelines, agentic flows, and robust validation gates across Google’s products.
Like Google's own ambitions, the work of a Software Engineer goes beyond just Search. Software Engineering Managers have not only the technical expertise to take on and provide technical leadership to major…
Build AI-native agentic workflows to automate Product Lifecycle Management in PTC Windchill, integrating with enterprise systems and handling part creation, BOMs, and engineering changes.
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