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Design and build ML models and real-time data pipelines using Python, TensorFlow/PyTorch, Kafka/PubSub, and Databricks/Fabric for enterprise clients across industries.
Senior backend engineer designs and builds scalable AI-driven data pipelines to process petabyte-scale telemetry, optimize costs, and integrate with observability platforms using Go/Rust/Java, Kubernetes, and ML frameworks.
Staff Software Engineer on Google's MARC team co-designing ML systems between frontier ML workloads and TPU silicon roadmaps, using JAX, PyTorch, Pallas, and XLA.
Research and develop ML models (e.g., graph neural networks, diffusion models) to optimize semiconductor chip design and performance.
Build and deploy ML models for object detection and image enhancement on embedded platforms for AR helmets, drones, and robots used in defense and first-responder scenarios.
Build and maintain scalable e-commerce platforms using Java, TypeScript, Angular, React, and AWS services while mentoring junior engineers and driving architectural decisions.
Build and deploy ML models and BI dashboards that improve healthcare marketplace efficiency, using Python, SQL, and cloud data warehouses.
Sonatype is the software supply chain security company. We provide the world’s best end-to-end software supply chain security solution, combining the only proactive protection against malicious open source, the only…
Build and scale multi-cluster GPU infrastructure for training tabular foundation models, optimizing cost and throughput while owning Slurm clusters, scheduling, and distributed training performance.
Senior full-stack engineer building AI-powered systems for cloud and edge devices, integrating computer vision, NLP, and multimodal models into production-ready solutions for mission-critical applications.
Builds and deploys AI features end-to-end, turning model capabilities into reliable, real-world user experiences using Python, LLMs, and vector databases.
Builds and shapes Google Kubernetes Engine’s storage layer for AI/ML workloads, designing scalable solutions for training, inference, and agentic workflows while driving upstream Kubernetes standards.
Build and deploy core ML components for an AI-native assistant that automates daily tasks with high reliability and low latency using Python, PyTorch/JAX, and GPU-based production systems.
The goal of a Senior Machine Learning Engineer at Scale is to leverage techniques in the fields of generative AI, computer vision, reinforcement learning, and agentic AI to improve Scale's products and customer…
Scale's LLM post-training platform team builds our internal distributed framework for large language model training. The platform powers MLEs, researchers, data scientists, and operators for fast and automatic…
Builds and owns end-to-end ML systems for a proactive AI assistant, focusing on long-running workflows, reliability, and real-world task completion using PyTorch/JAX and GPU infrastructure.
Build and run backend systems that orchestrate AI models into fast, reliable APIs for a proactive smart assistant, handling inference pipelines and production reliability.
Build AI-native workflows that handle multi-step tasks, integrate LLMs with tools, and ensure reliable, real-time interactions for a proactive smart assistant.
Build and ship AI-powered features end-to-end, turning model capabilities into reliable, real-world user experiences using Python, LLMs, and vector databases.
Research and develop cutting-edge LLMs and multimodal AI systems, optimizing model efficiency and scalability for production deployment.
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