273 total jobs
57 new jobs this week
Build scalable production systems for frontier AI models, develop tools that accelerate research and LLM training, and experiment with distributed training approaches in collaboration with engineering and scientific teams.
As a Machine Learning Engineer, you will design, develop, and deploy AI and ML models, ensuring their efficiency and integration into organizational goals.
Lead a high-impact team of Machine Learning Engineers to enhance media relevance, personalization, and discovery for Reddit's core product, impacting over 120 million daily users.
Drive the development of GenAI-powered recommendations as a Senior Staff Machine Learning Engineer, shaping feed ranking architectures for millions of Reddit users.
As a Machine Learning Engineer II – 3D Perception, you'll advance perception capabilities by developing and improving machine learning solutions for autonomous trucks.
As a Lead Machine Learning Scientist in Business Banking, you'll spearhead the development and deployment of advanced ML models to enhance banking experiences for small businesses.
As a Staff GenAI Engineer, you will lead the design and development of AI-powered applications in voice and audio modalities, driving innovation and scalability in ML infrastructure.
The Senior Machine Learning Engineer designs, develops, and optimizes machine learning and computer vision models, driving innovation and mentoring junior engineers in an Agile environment.
Build and productionize underwriting machine learning models that assess transaction repayment risk and expected value, while developing feature pipelines and monitoring model performance in real-time decision systems.
Build and productionize underwriting machine learning models that assess transaction repayment risk and expected value, developing feature pipelines, running experiments, and monitoring model performance in real-time decision systems.
As a Staff Software Engineer on the Data Platform team, you will design and implement AI governance capabilities, ensuring secure and scalable adoption of AI agents across various platforms.
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As a Senior Backend Engineer, you will take end-to-end ownership of core ML services, designing and operating high-load distributed backend services to support machine learning infrastructure.
Lead the strategy and technical roadmap for next-generation recommendation systems, managing ML researchers and engineers while balancing near-term product impact with long-term research and production innovation.
Lead the development of advanced machine learning models to enhance customer operations, driving impactful solutions and transforming customer service experiences.
Develop and ship Junie’s AI coding-agent capabilities across CLI and model integrations, advancing model efficiency and autonomous coding while taking initiatives from research through production.
As a Staff Machine Learning Engineer, you will shape personalized discovery at Spotify by enhancing recommendation systems and deploying large-scale machine learning models.
Lead a high-impact team of Machine Learning Engineers to develop systems that enhance Reddit's personalized feeds through effective retrieval and recommendation strategies.
Lead a high-impact team of Machine Learning Engineers to develop recommendation systems that enhance user engagement and community health across Reddit's diverse ecosystems.
Develop and deploy production-scale LLM and NLP systems for financial services, shaping model architecture, training, evaluation, data governance, and reliable cloud operations while mentoring engineers and guiding technical direction.
As a Machine Learning Engineer I, you will develop end-to-end ML solutions for misdirected email detection, focusing on feature generation, model training, and cross-functional collaboration.
Design and build production-grade machine learning systems for an AI-native communication platform, focusing on solving complex challenges and delivering reliable AI solutions.
Lead the execution of an AI platform by translating research into scalable, production-ready machine learning systems, ensuring models are optimized for real-world performance.
The VP of Research (Machine Learning) will define and lead the research direction for an AI platform, focusing on advanced machine learning techniques and practical production impact.
The Principal Machine Learning Engineer will build and deploy production-grade machine learning systems, translating research into scalable solutions for an AI-native communication platform.
5% of these listings are open worldwide and 6% to a whole region, like Europe or Latin America. The other 89% hire in specific countries:
From 138 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 64 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.
