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Senior ML Engineer builds and deploys machine-learning models for data analysis and algorithm optimization in a fintech context.
You troubleshoot cloud tech issues for Google Cloud customers, analyze data with Python/SQL, and suggest code fixes for complex bugs to improve support and self-service tools.
Build and deploy ML models and GenAI services, manage customer data, and analyze it using Python, NLP/LLMs, SQL, and OpenSearch in a product-focused team.
Build and improve ML models for media and entertainment software, focusing on AI techniques like deep learning and geometric methods to enhance Autodesk’s creative tools.
Build and deploy AI models using Python and frameworks like PyTorch/TensorFlow to power real-world products, collaborating with engineers in a fully remote setting.
Build and scale ML systems to extract structured product data from unstructured web content, improving Pinterest’s shopping search and recommendations using language models and web scraping.
Build and deploy ML models (PyTorch/TensorFlow) for computer vision and generative AI to enhance cinematic pipelines and theatrical experiences in the entertainment industry.
Build and deploy real-time computer-vision models for a neural-interface medical device that translates brain intent into action, optimizing models for wearable hardware and clinical readiness.
Build and scale ML-driven dispute optimization systems, including training pipelines, feature stores, and real-time data processing for Checkout.com’s fintech platform.
Develop ML/AI models and perception systems for next-gen agricultural harvesting equipment using C++/Python, computer vision, and ROS in a Linux/AWS environment.
Senior ML/Computer Vision scientist building 4D Vision™ systems for industrial robots, using PyTorch and AWS to deploy real-time perception models on factory floors.
Build and mentor ML systems for AI-powered tax research, using deep learning and generative AI to enhance product features.
Research and develop efficient on-device AI inference systems, optimizing models and hardware-software co-design for Qualcomm’s low-power AI accelerators.
Build and deploy AI models for high-performance web apps and chatbots, integrating with Next.js/React and optimizing for speed and security.
Build AI/ML-powered features for ClickHouse Cloud, integrating inference APIs with responsive frontends and robust backend services in TypeScript.
Build and deploy RAG pipelines and large-scale AI systems for industrial use cases like predictive maintenance and smart factories using Python, PyTorch, and vector databases.
Build and improve AI-powered products by developing models, analyzing data, and collaborating with software teams in a remote environment.
Build and deploy ML/LLM systems to improve merchant discovery and shopping experiences on Pinterest, focusing on content enrichment, entity resolution, and evaluation frameworks.
Run and optimize a high-performance GPU cluster with NVIDIA H100/A100 GPUs, Ceph storage, and Kubernetes, automating operations and supporting ML teams.
Build and harden reusable AI/ML primitives for Amazon’s enterprise systems, from experimentation to production deployment, collaborating with product teams to integrate and scale AI capabilities.
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