Design and deliver production-scale AI systems for customer support, including multi-agent frameworks, agent copilots, and secure LLM-powered actions that improve resolution and help agents handle cases effectively.
Remote Machine Learning Engineer Jobs
Search 269 active remote machine learning engineer jobs. No recruiters, no spam - just real jobs from real companies.
268 total jobs
52 new jobs this week
Design, build, and operate production optimization applications, developing algorithms and evaluation systems while ensuring reliability and directing AI coding agents to deliver correct, maintainable solutions.
Machine Learning Engineer II (ROA + LTV ML)
Develop and scale production machine learning models for credit decisioning, including default prediction and approval decisions, while building training, monitoring, and data systems with engineering, credit, and product teams.
Build, operate, and improve production ML/AI services by combining Python software engineering, container orchestration, CI/CD, and model lifecycle practices to deliver secure, reliable, and maintainable solutions.
Senior Staff Machine Learning Engineer
Define architecture and technical direction for production-grade agentic AI and machine learning systems that turn complex global trade documents and data into reliable risk, compliance, and enforcement intelligence.
Machine Learning Engineer, New Grad - Quora
Design, evaluate, and deploy machine learning models and LLM-powered agents that detect harmful content, automate moderation, and improve safety across a large-scale knowledge-sharing platform.
Design and scale production-grade machine learning infrastructure, pipelines, and deployment workflows, enabling research and agentic AI systems to run reliably while establishing MLOps standards and practices.
Design and scale production-ready machine learning infrastructure, pipelines, and deployment workflows, enabling research and agentic AI systems to run reliably, securely, and efficiently at scale.
Staff Machine Learning Engineer - VoIP Infrastructure
Designs and operates VoIP infrastructure for AI-driven voice workloads, integrating telephony platforms with LLM features while improving reliability, observability, deployment practices, and production support.
Staff Machine Learning Engineer - VoIP Infrastructure
Design and operate VoIP infrastructure for AI-driven voice workloads, integrating telecom platforms with LLM features while improving reliability, observability, and production support across distributed systems.
Leads the production lifecycle of machine learning systems, building reliable training and inference pipelines, optimizing model performance, and improving monitoring, deployment, and release practices.
Design, deploy, and maintain production-grade AI/ML systems and pipelines, building scalable infrastructure for batch and real-time workloads and bringing models into business applications and downstream processes.
Designs and operates production-grade AI/ML systems, pipelines, and infrastructure, applying MLOps, LLMOps, and AgentOps practices to deliver scalable solutions and make models accessible across business teams.
Senior Applied ML Engineer | Kimchi (Model Router)
Own the applied ML lifecycle for Kimchi’s model router, from training data and objectives to production-parity evaluation and online iteration, improving task quality, cost, and speed.
Senior ML Engineer | Kimchi (Inference Stack Optimization)
Optimize the LLM inference stack across throughput, latency, cold starts, and cost per token, using measured experiments to improve customer performance and guide technical direction.
Develop and deploy machine learning algorithms that improve advertising performance and ROI, translating research and experiments into scalable production solutions for high-throughput systems.
Develop and deploy machine learning algorithms that improve advertising performance and ROI, translating research and experiments into scalable production systems for high-throughput decision-making.
Machine Learning / AI Engineer Senior - Databricks - Eng
Lead client-facing AI and machine learning implementations, turning business needs into scalable production solutions across traditional ML, generative and agentic AI, and MLOps.
Senior Machine Learning Systems Engineer, ML Platform
Design and operate ML platform infrastructure and signal-governance tools, helping machine learning teams discover, assess, and manage data signals while supporting petabyte-scale pipelines.
Drive research, architecture, and production deployment of generative recommendation and reinforcement learning systems, turning novel machine learning research into scalable product impact across Pinterest.
Shape the future of Search at Spotify by building and optimizing machine learning models that enhance personalized content discovery for millions of listeners.
Member of Technical Staff - Post-Training (Reinforcement Learning & Generalization)
Train large language models with reinforcement learning, develop methods for out-of-distribution generalization, and build evaluations and production training recipes that reveal whether models learn robustly.
Senior Engineer, Machine Learning/AI Ops
The Senior Engineer, Machine Learning/AI Ops will design, build, and operate cloud infrastructure for machine learning models and AI tools, ensuring reliable and scalable production services.
Senior Applied Machine Learning Engineer
As a Senior Applied Machine Learning Engineer, you will enhance production models to improve customer retention and churn prediction, ensuring accurate and reliable data-driven insights.
