Remote PyTorch jobs

This position focuses on designing and scaling the infrastructure behind large language models. You will collaborate with machine learning teams to ensure models run reliably and cost-effectively in production environments.

• Fully remote (US hours)
• LLM Infrastructure
• Python + AWS
• GPU optimization

Join a team building an agent-first mobile communication app designed to integrate AI into daily tasks like email and calendar management. The goal is to enable high-quality collaboration and organization without requiring complex user prompting. You will own the lifecycle of ML models, handling classification, retrieval, ranking, and personalization. The work emphasizes shipping reliable systems that improve model quality and serve real users effectively.

• Fully remote potential
• Python + PyTorch/JAX
• Production ML focus
• AI-native mobile app

Join a team building proactive, AI-native applications for daily communication and coordination. The goal is to integrate intelligence into workflows with minimal prompting, starting with an agent-first mobile app. You will own the lifecycle of ML systems, from model development to production deployment, ensuring reliability and quality for real users.

• Python + PyTorch/JAX
• Production ML focus
• Small high-talent team

Join a team building proactive, AI-native applications for daily communication and coordination. The goal is to integrate intelligence into workflows with minimal prompting, eliminating misinformation and reducing coordination costs. You will own the lifecycle of ML systems from development to production, solving practical problems in model quality and reliability for real users.

• Python + PyTorch/JAX
• Production ML focus
• Small high-talent team

Join a team building proactive, AI-native applications for daily communication and coordination. The goal is to integrate intelligence into workflows with minimal prompting, starting with an agent-first mobile app. You will own the lifecycle of ML systems from development to production, solving practical problems in model quality and reliability for real users.

• Python + PyTorch/JAX
• Production ML focus
• Small high-talent team

Join a team building proactive, AI-native applications for daily communication and coordination. The goal is to integrate intelligence into workflows with minimal prompting, starting with an agent-first mobile app. You will own the lifecycle of ML systems, from model development to production deployment, ensuring reliability and quality for real users.

• Python + PyTorch/JAX
• ML Systems & Pipelines
• Small high-talent team

Join a team building proactive, AI-native applications for daily communication and coordination. The goal is to integrate intelligence into workflows with minimal prompting, starting with an agent-first mobile app. You will own the lifecycle of ML systems from development to production, solving practical problems in model quality and reliability for real users.

• Python + PyTorch/JAX
• Production ML focus
• Small high-impact team

Join a team building proactive, AI-native applications for daily communication and coordination. The goal is to integrate intelligence into workflows with minimal prompting, starting with an agent-first mobile app. You will own the lifecycle of ML systems, from model development to production deployment, solving practical problems in classification, search relevance and personalization.

• Python + PyTorch/JAX
• Production ML focus
• Small high-talent team

Join a team building proactive, AI-native applications for daily communication and coordination. The goal is to integrate intelligence into workflows with minimal prompting, starting with an agent-first mobile app. You will own the lifecycle of ML models from development to production, solving practical problems in classification, search relevance and personalization while ensuring system reliability and efficiency.

• Python + PyTorch/JAX
• Production ML focus
• Small high-talent team

Join a team building proactive, AI-native applications for daily communication and coordination. The goal is to integrate intelligence into workflows with minimal prompting, eliminating misinformation and reducing coordination costs. You will own the lifecycle of ML systems from development to production deployment. The work involves solving practical problems in model quality, reliability and user-facing performance for a global audience.

• Python + PyTorch/JAX
• Production ML focus
• Small high-talent team

Join a team building proactive, AI-native applications for daily communication and coordination. The goal is to integrate intelligence into workflows with minimal prompting, starting with an agent-first mobile app. You will own the development and deployment of ML models, focusing on practical problems like search relevance and personalization. The role requires balancing model quality with latency and cost in production environments.

• Python + PyTorch/JAX
• Production ML focus
• Small high-talent team

Join a team building proactive, AI-native applications for email, notes and tasks that require minimal prompting. As a Machine Learning Engineer, you will own the development and deployment of systems for classification, ranking and retrieval to enhance user communication and collaboration.

• Python + PyTorch/JAX
• Ranking & Retrieval focus
• Production ML systems

Join a team building proactive, AI-native applications for email, notes, and tasks that require minimal prompting. As a Machine Learning Engineer, you will own the development and deployment of systems for classification, ranking, and retrieval to enhance user communication and collaboration.

• ML Ranking & Retrieval
• Python, PyTorch, JAX
• Production ML Systems
• AI-native Mobile App

Join a team building proactive, AI-native applications for email, notes, and tasks that require minimal prompting. As a Machine Learning Engineer, you will own the development and deployment of models for classification, ranking, and retrieval to enhance user communication and collaboration.

• ML Ranking & Retrieval
• Python + PyTorch/JAX
• Production ML Systems
• AI-native Mobile App

Join a team building proactive, AI-native applications for email, notes, and tasks that require minimal prompting. As a Machine Learning Engineer, you will own the development and deployment of systems for classification, ranking, and retrieval, directly impacting user experience in a new agent-first mobile communication platform.

• ML Ranking & Retrieval
• Python + PyTorch/JAX
• Production ML Systems
• AI-Native Mobile App

Join a team building proactive, AI-native applications for email, notes and tasks that require minimal prompting. As a Machine Learning Engineer, you will own the development and deployment of systems for classification, ranking and retrieval to enhance user communication and collaboration.

• Python + PyTorch/JAX
• Ranking & Retrieval
• Production ML focus

Join a team building proactive, AI-native applications for email, notes and tasks that require minimal prompting. As a Machine Learning Engineer, you will own the development and deployment of systems for classification, ranking and retrieval to enhance user communication and collaboration.

• Python + PyTorch/JAX
• Ranking & Retrieval focus
• Production ML systems

Join a team building proactive, AI-native applications for email, notes, and tasks that require minimal prompting. As a Machine Learning Engineer, you will own the development and deployment of systems for classification, ranking, and retrieval to enhance user communication and collaboration.

• ML Ranking & Retrieval
• Python, PyTorch, JAX
• Production ML Systems
• AI-native Mobile App

Join a small, high-talent-density team building an agent-first mobile communication app designed to integrate AI into daily workflows with minimal prompting. You will own the development of ML systems for classification, ranking, and retrieval, taking projects from model creation to production deployment. The team values independent execution and collective decision-making, aiming to eliminate misinformation and reduce coordination costs through intelligent, proactive applications.

• ML Ranking & Retrieval
• Python, PyTorch, JAX
• Production ML Systems
• Small High-Talent Team

Join a team building proactive, AI-native applications for email, notes and tasks that require minimal prompting. As a Machine Learning Engineer, you will own the development and deployment of systems for classification, ranking and retrieval to enhance user communication and collaboration.

• Python + PyTorch/JAX
• Ranking & Retrieval focus
• Production ML systems

Join a mission to build proactive, AI-native applications for daily communication and workflows. The team is developing an agent-first mobile app that integrates intelligence into conversations and tasks with minimal prompting. As an Applied Machine Learning Engineer, you will own the lifecycle of ML systems from development to production. You will solve practical problems in model quality, reliability and efficiency for real-world users.

• Python + PyTorch/JAX
• Production ML focus
• Small high-impact team

Join a mission to create proactive, AI-native applications for daily communication and workflows. You will build and improve ML systems that power an agent-first mobile app, minimizing the need for complex prompting. The team values high talent density and independent execution. You will take ownership of model development from training to production deployment, solving practical problems to enhance user experience.

• Python + PyTorch/JAX
• ML Systems & Pipelines
• Small high-impact team

Join a team building proactive, AI-native applications for email, notes, and tasks that require minimal prompting. As a Machine Learning Engineer, you will own the development and deployment of systems for classification, ranking, and retrieval to enhance user communication and collaboration.

• ML Ranking & Retrieval
• Python, PyTorch, JAX
• Production ML Systems
• AI-native Mobile App

Join a team building proactive, AI-native applications for daily communication and coordination. The goal is to integrate intelligence into workflows with minimal prompting, starting with an agent-first mobile app. You will own the development and deployment of ML models, improving accuracy and reliability for real users. The work involves solving practical problems in classification, search relevance and personalization.

• Python + PyTorch/JAX
• ML production systems
• Small high-talent team

Join a mission to create proactive, AI-native applications for everyday tasks like communication and organization. You will build and improve ML systems that power an agent-first mobile app, ensuring intelligence is integrated with minimal prompting. The team values high talent density and independent execution. You will take ownership of model development from training to production deployment, solving practical problems to enhance user experience.

• Python + PyTorch/JAX
• Production ML focus
• Small high-impact team

Join a team building proactive, AI-native applications for daily communication and collaboration. The goal is to integrate intelligence into workflows with minimal prompting, starting with an agent-first mobile app. You will own the lifecycle of ML systems from development to production, solving practical problems in model quality and reliability for real users.

• Python + PyTorch/JAX
• ML Systems & Pipelines
• Small high-talent team

Join a mission to create proactive, AI-native applications for daily communication and workflows. You will build and improve ML systems that power an agent-first mobile app, minimizing the need for complex prompting. The team values high talent density and independent execution. You will take ownership of model development from training to production deployment, ensuring reliability and quality for real users.

• Python + PyTorch/JAX
• ML in production
• Small high-talent team

Join a team building proactive, AI-native applications for daily communication and coordination. The goal is to integrate intelligence into workflows with minimal prompting, starting with an agent-first mobile app. You will own the lifecycle of ML systems from development to production, solving practical problems in model quality and reliability for real users.

• Python + PyTorch/JAX
• Production ML focus
• Small high-impact team

Join a mission to create proactive, AI-native applications for everyday tasks like communication and organization. You will build and improve ML systems that power an agent-first mobile app, ensuring intelligence is integrated with minimal prompting. The team values high talent density and independent execution. You will take ownership of model development from training to production deployment, solving practical problems to enhance user experience.

• Python + PyTorch/JAX
• ML in production
• Small high-impact team

Join a mission to create proactive, AI-native applications for daily tasks like communication and coordination. This role involves building and improving ML systems that power an agent-first mobile app, aiming to integrate intelligence into workflows with minimal prompting. You will take ownership of model development from training to production deployment, solving practical problems in classification, search relevance and personalization. The team values independent execution, collective decision-making and rapid iteration.

• Python + PyTorch/JAX
• ML production systems
• Small high-impact team

Join a mission to create proactive, AI-native applications for everyday tasks like email and calendar management. The team is building an agent-first mobile communication app that integrates intelligence into conversations and workflows with minimal prompting. As an Applied Machine Learning Engineer, you will own the lifecycle of ML systems from development to production. You will solve practical problems in model quality, reliability and deployment for real-world users.

• Python + PyTorch/JAX
• ML Systems & Pipelines
• Small high-talent team

We are developing proactive applications that integrate intelligence into daily conversations and workflows with minimal prompting. Our first product is an agent-first mobile app designed to reduce coordination costs and eliminate misinformation through reliable AI assistance. As a Member of Technical Staff, you will own the lifecycle of ML models from development to production. You will focus on solving practical problems in classification, retrieval, and personalization while ensuring system reliability and efficiency for real-world users.

• Python + PyTorch/JAX
• Production ML focus
• Small high-talent team

Join a small, high-talent-density team building proactive applications that integrate AI into daily communication and workflows with minimal prompting. You will take ownership of ML systems from development to production, ensuring reliability and quality for real users.

• Python + PyTorch/JAX
• Production ML focus
• Small elite team

Join a team building proactive, AI-native applications for daily communication and coordination. The goal is to integrate intelligence into workflows with minimal prompting, starting with an agent-first mobile app. You will own the development and deployment of ML models, focusing on practical problems like search relevance and personalization. The role requires balancing model quality with latency and cost in production environments.

• ML & AI focus
• Python + PyTorch
• Production ML systems
• Small high-talent team

We are developing an agent-first mobile application designed to integrate AI into daily communication and workflows with minimal prompting. Our mission is to eliminate misinformation and reduce coordination costs by bringing intelligence to everyday tasks. As a Member of Technical Staff, you will own the lifecycle of ML models from development to production. You will work on practical problems involving search relevance, user behavior personalization, and system reliability.

• ML for mobile apps
• Python + PyTorch/JAX
• Production ML focus
• Small high-talent team

Join a team building proactive, AI-native applications for daily communication and coordination. The goal is to integrate intelligence into workflows with minimal prompting, starting with an agent-first mobile app. You will own the development and deployment of ML models, improving accuracy and reliability for real-world users. The role involves solving practical problems in classification, search relevance and personalization.

• ML & AI focus
• Python + PyTorch
• Production ML systems
• Small elite team

Join a small, high-talent-density team building proactive AI applications that require minimal prompting. You will own the development and production deployment of ML systems powering an agent-first mobile communication platform used for daily coordination and collaboration.

• ML Engineer role
• Python + PyTorch/JAX
• Production ML focus
• Remote or onsite

You will develop ML systems that power an agent-first mobile communication app, aiming to integrate AI into daily workflows with minimal prompting. The work covers the full lifecycle from model creation to production deployment, focusing on practical problems and real-user impact. The team values independent execution and collective decision-making. You will own specific areas such as ranking, retrieval, and personalization, ensuring models meet strict standards for accuracy, latency, and reliability.

• ML Systems Engineer
• Python, PyTorch, JAX
• Production ML focus
• Small, high-talent team

Join a team building proactive, AI-native applications for daily communication and coordination. The goal is to integrate intelligence into workflows with minimal prompting, starting with an agent-first mobile app. You will own the lifecycle of ML systems from development to production, solving practical problems in model quality and reliability for real users.

• ML & AI focus
• Python + PyTorch
• Production deployment
• Small elite team

Join a small, high-talent-density team building proactive AI applications that require minimal prompting. You will own the development and production deployment of ML systems powering an agent-first mobile communication platform.

• ML Engineer role
• Python + PyTorch/JAX
• Production ML focus
• Remote or onsite

CACI is seeking a Senior Foundry Developer to join the Agile Solution Factory team supporting Palantir's Army Vantage. You will design and deploy advanced data integration and analytics solutions while ensuring interoperability with DoW platforms like ADVANA. The position requires building complex multi-page Workshop applications, managing ontology structures, and developing robust data pipelines. You will collaborate with stakeholders in an Agile Scrum environment to deliver high-impact technical solutions.

• Senior level role
• Fully remote (US)
• Secret clearance required
• Palantir Foundry

Join Quora's small, collaborative ML team to build AI-powered systems that detect harmful content and automate moderation decisions. You will work on the main Quora product, leveraging large language models to improve safety and quality for hundreds of millions of users. This position is open to new graduates who can start full-time in early 2027. You will collaborate with experienced engineers to take ownership of projects from development through production deployment.

• Fully remote (US/Canada)
• New Grad Role
• LLM & Agent Focus
• Python & PyTorch

Join Pluralis Research to advance Protocol Learning, a method for training large AI models in a fully decentralized manner on small consumer-grade devices. You will help scale the system from an 8B model run to frontier-scale models, addressing challenges like communication efficiency and node churn. The team operates globally with hubs in Australia and North America, working on open problems in trustless and sovereign AI infrastructure.

• Fully remote (global)
• Distributed ML research
• PyTorch + FSDP/DeepSpeed
• Visa sponsorship available

You will develop the end-to-end RL training loop for Protocol Learning, enabling post-training of large models across distributed consumer devices. The work requires inventing algorithms that handle staleness and off-policy corrections in untrusted, geo-distributed networks. The team has already pretrained an 8B model via Agora and now focuses on making it useful for agentic use cases. You will define the technical direction, build evaluation frameworks, and release the first decentralized post-trained models.

• Fully remote (global)
• RL + Distributed Systems
• Visa sponsorship available
• Senior research role

Join Meta as a Principal Engineer to oversee complex technical challenges and build new features for products connecting billions of users. You will lead a world-class team of engineers and researchers, focusing on advancing user experience through cutting-edge machine learning and AI technologies across mobile and web platforms.

• Principal / Lead level
• Machine Learning focus
• TensorFlow & PyTorch
• NLP & AI integration

Join Meta as a Principal Engineer to oversee complex technical problems and build new features for products connecting billions of users. You will lead a world-class team of engineers and researchers, focusing on advancing user experience across mobile and web applications. The role requires driving technical direction, identifying new opportunities, and resolving scalability issues. You will partner with organization leaders to improve team performance and implement responsible AI practices while staying current with emerging technologies.

• Principal / Lead level
• Machine Learning focus
• TensorFlow & PyTorch
• NLP & Information Retrieval

Join the Lead Ads team at TikTok to help drive global monetization through efficient lead ad delivery. You will work on large-scale advertising systems, focusing on personalization and innovation in online advertising technologies. The role involves developing and iterating ads algorithms, improving NLP capabilities, and enhancing model estimation accuracy. You will collaborate with product teams to define strategies and features for the platform.

• Graduate level role
• Fully remote (EU)
• Python, Go, C++
• TensorFlow, PyTorch

Join Yubo's Platform Engineering team to transform machine learning from experimental projects into reliable production infrastructure. You will design, train, and deploy models that power content moderation, user recommendations, and trust and safety features for millions of Gen Z users worldwide. The role focuses on improving ML maturity by standardizing pipelines, enhancing observability, and integrating legacy systems into modern workflows. You will collaborate with data engineering and product teams to deliver scalable solutions that balance speed with system reliability.

• Senior ML Engineer
• Hybrid (Paris, 2 days/mo)
• PyTorch + Python
• Safety & Recommendations

We are seeking a Senior AI Scientist to lead initiatives in personalized learning through multimodal tutor matching. You will guide the transition of research into production environments, leveraging large language models to enhance educational outcomes.

• Senior level position
• PhD required
• 8+ years experience
• NLP and LLM focus

You will own the end-to-end delivery of client de-identification projects, transforming raw corporate data into safe, usable training sets for AI labs. Working closely with founders and data scientists, you will diagnose pipeline issues, validate output quality, and ensure consistent synthetic identity replacement across various file formats.

• Python + SQL
• Data engineering focus
• AI-native workflow
• Early-stage team