136 total jobs
33 new jobs this week
Desenvolve e opera soluções de machine learning e dados, criando modelos preditivos, explorando dados e otimizando plataformas distribuídas para gerar impacto mensurável no negócio.
Create and present practical machine learning courses for engineers, shaping lessons and labs, writing and narrating video scripts, recording walkthroughs, and refining content through editorial feedback.
Optimize production machine learning workloads across training and serving by diagnosing bottlenecks, implementing performance improvements, and validating measurable gains in latency, throughput, hardware utilization, and cost.
Set machine learning direction and deliver production LLM systems, from post-training and agent workflows to evaluation and dialogue improvements that shape user experience, retention, and monetization.
Build scalable machine learning platforms and production MLOps workflows that help Amgen scientists develop, deploy, and manage AI/ML solutions for drug discovery and development.
Lead machine learning projects from concept to production, building retrieval, ranking, and LLM-powered features that make answers more relevant while shaping technical direction and product impact.
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.
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.
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.
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.
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.
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.
Shape the future of Search at Spotify by building and optimizing machine learning models that enhance personalized content discovery for millions of listeners.
The Principal Machine Learning Research Scientist leads and shapes the strategic direction of DISCO's machine learning and AI research initiatives, driving innovation and impactful research.
As a Senior Machine Learning Engineer, you will take ownership of the Dynamic Risk Score product, developing and deploying ML models to enhance financial crime prevention for clients.
As a Staff Machine Learning Engineer, you will lead the design and delivery of production ML systems, enhancing customer engagement through innovative intelligence capabilities.
In this high-impact engineering role, you'll enhance CI/CD systems for ML models, focusing on automation, reliability, and accelerating development cycles.
Build and optimize distributed training infrastructure for multimodal foundation models across thousands of GPUs, improving parallelism, training stability, monitoring, and cluster resource utilization.
Own and shape an end-to-end ML evaluation platform, building systems to generate, score, and track model outputs while setting standards that help research teams make reliable decisions.
As a Senior Machine Learning Engineer, you will develop machine learning solutions, orchestrate complex workflows, and enhance the capabilities of our AI operations platform.
As a Senior Machine Learning Engineer, you will develop machine learning solutions, orchestrate complex workflows, and enhance the capabilities of our AI operations platform while collaborating with cross-functional teams.
Design and build systems to enhance the efficiency of machine learning training and inference workloads, while optimizing resource utilization and improving developer productivity.
7% of these listings are open worldwide and 6% to a whole region, like Europe or Latin America. The other 86% hire in specific countries:
From 81 listings that state where they hire.
What hiring companies here ask for far more often than across all remote jobs, so it is worth putting front and center on your resume.
Share of the 49 companies hiring here that ask for each skill, and how many times as often as across all remote jobs. Soft skills like communication are left out.
