Browse 22 exciting jobs hiring in Ml Serving now. Check out companies hiring such as Zapier, Workday, LinkedIn in Oakland, Madison, Sioux Falls.
Lead Zapier's AI Platform team to build reusable model-serving, evaluation, and MLOps tooling that helps product teams ship AI features quickly, safely, and cost-effectively.
Workday is hiring a Machine Learning Engineer III to develop and productionize large-scale ML and GenAI solutions that improve payroll processing for enterprise customers.
Lead system- and hardware-focused optimizations for LinkedIn’s AI inference platform, improving GPU utilization, compiler workflows, and low-latency model serving at scale.
Couchbase seeks a Principal Software Engineer to architect and implement the Capella Control Plane using Golang, multi-cloud infrastructure, and AI/ML integrations to scale our DBaaS offering.
Lead the design and delivery of a closed-loop intelligence layer that enables an autonomous trading fleet to learn from real-time outcomes and improve profitability.
Help scale production ML infrastructure and retrieval systems at Foxglove to enable high-performance semantic search and data mining over multimodal robotics data.
Deepgram is hiring an ML Ops Infrastructure Engineer to design and operate scalable model deployment, CI/CD, and monitoring systems that deliver production-grade voice AI at scale.
Work with research teams to productionize large-scale generative models, build GPU inference infrastructure, and ensure reliable deployment and observability for production ML workloads.
Lead and build True Anomaly’s AI platform and engineering team to deliver production-grade model hosting, agent infrastructure, and enterprise AI tooling that embed AI across the company.
Fundamental is hiring a Model Serving Engineer to build and optimize production inference infrastructure for NEXUS, focusing on Triton-based pipelines, GPU efficiency, and low-latency, high-throughput serving.
Baseten is hiring a Senior Customer Engineer to lead incident response and technical account ownership for enterprise customers running production ML on Baseten, blending Kubernetes/infrastructure troubleshooting with proactive customer engagement.
Lead the design and scaling of Bumble’s matching, recommendation, and agentic AI systems to deliver low-latency, ML-powered experiences across the product.
General Robotics seeks an ML Systems Engineer in Redmond to productionize and optimize real-time, GPU-accelerated model serving and ML infrastructure for autonomous robotics.
Drive production-quality integrations of NVIDIA Grove into Dynamo and leading open-source AI frameworks, delivering adapters, runtime components, and developer tooling for scalable training and inference.
Toyota Research Institute is hiring a Senior Machine Learning Engineer to build ML infrastructure, integrate and fine-tune LLMs, and operationalize multimodal research workflows for robotics, autonomy, energy, and materials programs.
Decagon is hiring a Senior ML Infrastructure Engineer to design and scale distributed training and multi-provider inference platforms for LLMs and multimodal models.
Wizard AI is hiring a Senior MLOps Engineer to own and scale the production ML lifecycle for a real-time inference platform behind a conversational shopping agent.
Lead the design and implementation of scalable ML backend systems and sensor-data pipelines to enable production-grade robotics and autonomous manufacturing at Nidus in New York City.
NVIDIA seeks a seasoned Developer Relations Manager to partner with hyperscaler AI teams, provide hands-on technical enablement for NVIDIA AI software, and drive developer adoption and feedback into the product roadmap.
Lead the design and delivery of scalable ML infrastructure at Genentech to accelerate AI-driven drug discovery and support cross-functional ML teams.
Lead the design, training, and production deployment of large-scale ML models at Absentia Labs to turn complex scientific data into actionable machine intelligence.
Lead the design and scaling of distributed GPU infrastructure and production computer vision pipelines to bring state-of-the-art models from research into reliable, low-latency cloud deployments for Claryo's warehouse AI platform.
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