15,530 PyTorch jobs
Open roles that use PyTorch for machine learning.
ML 엔지니어 (커뮤니티 추천) (ML Engineer)
Build and improve a community-feed recommendation system for a stock-trading app used by 4 million monthly active users, using Python, PyTorch, and cloud-native serving stacks.
ML 엔지니어 (전문연구요원) (ML Engineer)
ML Engineer at Toss builds and deploys recommendation, search, and AI models across fintech and ecommerce to optimize product exposure, CTR, and user experience using PyTorch, Spark, and Kubernetes.
ML 엔지니어 (Commerce Recommendation) (ML Engineer)
Builds and improves machine-learning models that predict click-through and conversion rates to optimize product recommendations for Toss’s commerce platform using PyTorch, TensorFlow, and LightGBM.
IT Associate (AI Developer)
Builds and deploys intelligent web applications for Equicom Shared Services in Makati, combining standard web development (React/Vue/Angular, Python/Node/Java, SQL/NoSQL, REST APIs) with AI features like LLM integration, RAG, chatbots, and model fine-tuning across cloud and on-premise environments.
Software and ML Engineer
Software and ML Engineer at One Task in Amsterdam, maintaining daily technical operations and developing software plus computer-vision models for a Dutch national road-safety camera project. Core stack: C++, Python, TensorFlow/PyTorch, Docker, Grafana, MongoDB.
Applied AI/ML Scientist, Intern - Winter 2027
Winter 2027 intern (12-14 weeks, San Francisco hybrid) on Faire's Applied AI/ML Science team, owning a project on shipping/fulfillment models for the wholesale marketplace — such as predicting order packing, recommending cheaper packing, or inferring product weight/size from catalog data using multimodal deep learning (PyTorch), plus Python, SQL, and statistics.
Principal Machine Learning Engineer
Principal Machine Learning Engineer (US, remote) who defines the architectural vision for large-scale ML and LLM systems powering personalized care, treatment recommendations (e.g., MedMatch), and intelligent care delivery. Hands-on with Python, PyTorch, and ML infrastructure like MLflow, SageMaker, and Databricks while mentoring senior engineers.
Data/ML engineer, fusion data
Data/ML engineer at Fusionality, a fusion-energy startup spun out of EPFL's Swiss Plasma Center: builds pipelines turning large experimental plasma sensor data into clean, versioned datasets, plus ML-assisted labelling and event detection in Python (PyTorch/JAX) with SQL/time-series databases. Onsite in Lausanne.
ITエンジニア／プログラマー（WEB・オープン・モバイル系）
Engineer placement role at Japanese SES firm IDH: you choose your own project from 1000+ openings (telecom, retail, manufacturing, medical, gaming clients) covering web/open systems, DB/network & cloud design, and AI development. Common stacks include Python, Java, AWS/Azure/GCP, Kubernetes, Terraform, Databricks; ~90% remote work and 83% of the project bill rate is paid as salary.
開発エンジニア／システムエンジニア（アプリ設計／WEB・オープン・モバイル系）
SES/staff-augmentation style engineer role: pick from 1,000+ client projects across web, mobile, and AI development, from requirements definition through design and coding. Tech stack varies by project (Java, Python, TypeScript, React, AWS, etc.), with 83% of the project billing rate passed through as pay and ~90% remote work.
Python Developer
Python Developer in Johannesburg building, maintaining, and deploying scalable web applications using Python/Django, SQL databases (PostgreSQL, MySQL, SQL Server), and cloud platforms (Azure/AWS/GCP). Experience with AI/GenAI tools like LLMs, LangChain, and vector databases is advantageous.
Staff Product Manager, Training Infrastructure - Weights & Biases
Staff Product Manager owning W&B Launch (job submission/compute orchestration) and new infrastructure-native developer tools that combine Weights & Biases experiment tracking with CoreWeave's AI cloud platform, serving frontier model teams training on thousands of GPUs. Requires 7+ years in PM roles on developer tools or ML infrastructure, with fluency in Kubernetes, SLURM, and LLM workflows.
Staff Applied AI Engineer - Enterprise AI Solutions
Staff Applied AI Engineer who works directly with enterprise customers to scope, build, and deploy Gen AI/ML solutions — RAG systems, fine-tuning pipelines, prompt engineering, and agentic workflows — using Python and the modern applied AI stack (PyTorch, Hugging Face, FAISS, vector DBs, LangGraph), while turning repeatable patterns into reusable internal tooling and best practices.