13,765 Machine Learning jobs
Machine learning roles training and shipping ML models to production.
Staff Software Engineer, AI/ML
Staff-level IC on DigitalOcean's Applied Research team, owning the technical direction for feedback-driven learning in agentic AI systems — reward modeling, preference optimization (RLHF, DPO, PPO, GRPO), and evaluation infrastructure — shipping research to production. Hybrid role in Seattle; 8+ years of production AI/ML experience required.
Principal Engineer, AI/ML Security
Leads DigitalOcean's AI/ML security: owns the AI security strategy and multi-year roadmap, builds in-house ML guardrails and security tooling, runs AI red-teaming and threat modeling across the ML lifecycle, and owns AI risk & governance. Core stack: Python, Go, adversarial ML, LLM/RAG security, MITRE ATLAS and NIST AI RMF.
Senior Technical Account Manager, AI/ML
Senior Technical Account Manager at DigitalOcean partners with key business customers to design cloud architectures, optimize deployments, and drive long-term growth using AI/ML and cloud technologies.
Senior Solutions Architect II, AI/ML
Senior Solutions Architect role advising DigitalOcean's largest customers on AI/ML cloud infrastructure, including deploying and fine-tuning LLMs (DeepSeek, Llama, Claude), optimizing GPU workloads with CUDA/TensorRT, and designing scalable AI applications using Kubernetes and NFS. Works closely with Sales and Customer Success teams to drive retention and expansion.
AI/ML Intern
AI/ML intern at Build Formula, an Ahmedabad-based software platform for the real estate industry. Day to day: preprocessing and analyzing data, training and evaluating ML models, and integrating AI tools/APIs and GenAI-powered features into the product using Python and frameworks like TensorFlow/PyTorch.
Staff Machine Learning Engineer - Game Tech Group, ML Platform
Architect and scale ML infrastructure for game AI systems, focusing on model serving, orchestration, and deployment workflows to move models from experimentation to production reliably.
Experienced AI/ML Engineer
Permanently remote AI/ML engineer (2-5 yrs experience) who designs, builds, and deploys end-to-end machine learning applications — predictive modeling, forecasting, customer analytics, and fraud detection — for a finance-focused company, using Python plus ML/DL/NLP/GenAI techniques and cloud platforms like AWS or Oracle Cloud.
COORDENADOR ENG. DE MACHINE LEARNING
Leads the MLOps and Data Engineering teams at Banco BBC Digital (Movida's bank) in São Paulo: defines the data/ML platform architecture, engineering standards (CI/CD, IaC), model deployment/monitoring, and infrastructure for generative AI (LLMOps, RAG). Stack includes Python, MLflow/Kubeflow, Docker and Kubernetes.
Quantitative Researcher - Machine Learning
Researches and deploys ML models for forecasting in financial markets, building scalable pipelines and extracting signals from noisy datasets.
