273 total jobs
56 new jobs this week
Leads the machine learning team responsible for Reddit Ads conversion models, setting technical strategy and overseeing model development, production deployment, team growth, and cross-functional collaboration.
Design and deploy machine learning and optimization solutions for fulfillment challenges such as order batching, shopper routing, service availability prediction, and real-time assignment, improving marketplace efficiency and shopper.
As a Senior Staff Machine Learning Engineer, you will define and lead the vision for Reddit's GenAI Platform, shaping its strategy, architecture, and operating model for scalable AI product deployment.
Build and operate production AI/ML systems for Airbnb Payments, including LLM workflows, fraud detection, and personalized checkout, while setting standards for scalable, reliable model governance and continuous learning.
Drive the next generation of Reddit's machine learning ecosystem by leading high-impact initiatives across recommendations, search, and foundational AI systems.
Own the architecture and technical direction of an end-to-end ML platform spanning training, experimentation, inference, and edge deployment, while guiding Safety AI teams and delivering reliable production features.
Own the architecture and evolution of the end-to-end ML platform for Safety AI, leading training, experimentation, inference, and edge deployment while shaping technical direction and production outcomes across teams.
Lead the development of a large-scale machine learning platform at Reddit, focusing on MLOps, model lifecycle management, and optimizing performance in a distributed environment.
Lead the development of a large-scale machine learning platform at Reddit, focusing on MLOps, performance tuning, and optimizing data processing.
Lead the development of real-time voice AI systems for contact centers, improving speech, reasoning, and caller interactions through rigorous evaluation, low-latency production engineering, and cross-functional technical leadership.
Design, own, and scale predictive systems as a Senior Machine Learning Engineer, taking end-to-end responsibility for high-impact ML initiatives in a programmatic advertising platform.
As a Machine Learning Engineer II focused on Visual AI, you will prototype model architectures, develop evaluation benchmarks, and enhance vision-centric capabilities for Pinterest's AI initiatives.
Leads the technical vision and production development of scalable agentic AI and LLM systems, building orchestration and evaluation frameworks that improve reliability, quality, and efficiency.
Teach live AI and machine learning classes, mentor learners through labs and projects, assess their progress, and make complex concepts accessible through practical, student-centered instruction.
Deliver live online NLP and audio analytics training for working professionals, leading coding demonstrations, hands-on practice, and projects while answering learner questions and supporting engagement.
Teach AI and machine learning lessons, support learners through hands-on exercises and individualized feedback, and foster an inclusive, collaborative classroom that prepares students for data science careers.
As a Senior Staff Machine Learning Engineer, you will define and execute the long-term ML strategy for the Trust organization, driving large-scale initiatives and mentoring engineers.
In this senior role, you'll design and deploy machine learning models for security applications, mentor junior engineers, and influence AI system architecture.
Design and improve GPU training infrastructure, optimize large-model performance, contribute to reinforcement learning and fine-tuning workflows, and scale efficient model-serving systems.
Build and productionize applied AI capabilities across text, vision, and audio by evaluating, optimizing, and fine-tuning existing models and turning experiments into reliable product systems.
Build and improve large-scale machine learning and recommendation systems that personalize Pinterest, partnering across product teams to experiment, enhance candidate retrieval, and launch impactful models.
Leads the design and delivery of edge AI products, optimizing machine learning models for device constraints and applying large-scale operational data to solve customer problems.
Lead the design and delivery of edge AI products, optimizing machine learning models for device constraints while developing solutions with large-scale operational data and collaborating across engineering and research teams.
Develop synthetic-data pipelines for language models, from scalable GPU inference and data generation to quality analysis, ablations, and evaluation, improving token efficiency, model quality, and training performance.
Those that list pay offer a median of $204,000 a year. The middle half pay between $178,000 and $237,000.
| Level | Range | Middle half · median |
|---|---|---|
| All levels | $178K–$237K · $204K |
56% of these listings post pay. From 34 listings with pay in USD, at most three per company.
5% of these listings are open worldwide and 5% to a whole region, like Europe or Latin America. The other 90% hire in specific countries:
From 147 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 66 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.
