Remote Machine Learning Engineer jobs.
“Remote”? Depends where. Missing $$$ is still a data point.
Where can you apply from?
221 openings. None older than 30 days.
Newest first · page 2
AI Learning Systems Engineer
4 days agoPython
6 years of experience, Reinforcement learning algorithms, Simulation environments, Reward modeling, Python, Deep learning frameworks, Training neural network policies on GPU clusters, Designing reward functions, RLHF for large language models, Multi-agent RL, Shipping impactful RL work
Machine Learning Engineer, Answers Relevance
5 days agoPython
4+ years production ML, Python, PyTorch, TensorFlow or Transformers, search, RecSys or LLM/RAG systems
LLM Prompt Specialist
5 days agoPython
6+ years software engineering, production LLM apps, RAG and vector databases, Python, no new H-1B sponsorship
Prompt Engineer
5 days agoPython
8+ years experience, production LLM apps, RAG and vector databases, Python, no new H-1B sponsorship
Research Scientist – AI
5 days agoPython
6+ years research and applied ML, Python, PyTorch or JAX, deep learning at scale, no new H-1B sponsorship
AI Applications Engineer
5 days ago6+ years ML research/engineering incl. LLMs, PyTorch, LLM fine-tuning, RLHF/DPO, no new H-1B sponsorship
AI Infrastructure Engineer
5 days agoPython
6+ years performance engineering/ML systems/HPC, Python and C++, GPU optimization, no new H-1B sponsorship
Applied RL Engineer
5 days agoPython
6+ years RL research/engineering, Python, deep learning frameworks, reward design, GPU cluster training
Reinforcement Learning Engineer
5 days agoPython
8+ years experience, reinforcement learning, Python, deep learning frameworks, GPU training, no new H-1B sponsorship
AI Performance Engineer
5 days agoPython
6+ years performance engineering/ML systems/HPC, Python and C++, GPU optimization, no new H-1B sponsorship
AI Research Engineer
5 days agoPython
6+ years research/applied ML engineering, Python, PyTorch or JAX, deep learning training, no new H-1B sponsorship
Data Platform Engineer
5 days agoPython · Go · Rust
6+ years distributed systems or ML platform, Python, Golang/Rust/C++, vLLM or TensorRT-LLM, no new H-1B visas
Edge Computing AI Engineer
5 days agoPython
6+ years ML engineering, edge ML deployment, model compression and quantization, Python and C++, no new H-1B visas
Edge AI Engineer
5 days agoPython
8+ years experience, edge ML deployment, model compression and quantization, Python and C++, no new H-1B visas
Model Serving Engineer
5 days agoPython · Go · Rust
7+ years experience, vLLM or TensorRT-LLM inference, GPUs, Python plus Golang, Rust or C++, no new H-1B sponsorship
Summer 2027: AI Scientist Intern
6 days agoUndergrad/grad returning Fall 2027, full-time Jun 7–Aug 13, 2-day Brooklyn HQ visit, NLP/LLM knowledge preferred
Agentic AI Engineer (Computer Vision) - Remote
6 days agoC1 English, own agent harnesses, multi-agent workflows, fine-tuning open-source models, overlap with EU afternoons
Applied AI Engineer
6 days agoPython · AWS · Azure
10 years of experience, Python, PyTorch, JAX, Large Language Models (LLMs), Natural Language Processing (NLP), Computer Vision, MLOps, Distributed training, GPU optimization, Model serving, Production ML deployment, Cloud platforms (AWS, Azure, GCP), Retrieval-Augmented Generation (RAG), AI orchestration frameworks (LangChain, LlamaIndex), Kubernetes, Docker, Agentic AI, Multimodal AI, Vector databases (Pinecone, Weaviate)
Autonomous Learning Engineer
6 days agoPython
10 years of experience, Python, Reinforcement Learning, Deep Learning, RLHF, Distributed Training, Simulation Environments, Ray RLlib, PyTorch, TensorFlow, GPU Acceleration, Cloud Deployment
NLP AI Engineer
6 days agoAWS · Azure · GCP
10 years of experience, PyTorch, Large Language Models (LLMs), Distributed training, RLHF, DPO, PPO, Supervised Fine-Tuning (SFT), Cloud platforms (AWS, Azure, GCP), MLOps, Transformer architectures, Retrieval-Augmented Generation (RAG)
AI Systems Engineer
6 days agoPython
6 years of experience, Model compression, Quantization, Edge AI, Python, C++, Edge inference framework, Mobile hardware architecture, Production deployment on mobile, Performance engineering, On-device privacy considerations
Model Behavior Engineer, Reasoning and Decision Making
7 days agoPython
LLM agent evaluation and behavior, Python, experimental design, system architecture, quarterly retreats
Machine Learning Engineer II (ROA + LTV ML)
7 days agoPython · SQL
2+ years ML engineering or PhD, Python/SQL, gradient boosting/deep learning, Spark or Ray, listed provinces only
AI Engineer I
7 days agoPython · SQL · AWS
2+ years production Python and SQL, AWS, LLM apps (prompting, tool use, evals), REST API integrations
Machine Learning Engineer, New Grad - Quora (Remote)
8 days agoPython
CS degree (in progress OK), LLM/transformer projects, Python, 9am-3pm PT overlap, start early 2027
Senior Machine Learning Engineer, CX
8 days agoPython · AWS
Required Skills and Experience: 5+ years of professional experience in machine learning and software engineering, with a track record of shipping production-grade ML services at scale.; Required Skills and Experience: Hands-on expertise with large language models, deep learning architectures, and the generative AI ecosystem (LangGraph, LangSmith, Google ADK, Vertex AI, or AWS Bedrock), with demonstrated ability to build multi-agent or LLM orchestration systems.; Required Skills and Experience: Proficiency in Python with the ability to write clean, maintainable, and highly tested production code for ML applications.; Required Skills and Experience: Specialized depth in at least one domain: NLP, information retrieval, conversational AI, or advanced statistical modeling, with the ability to ramp quickly on adjacent areas.; Required Skills and Experience: Proven ability to write technical design documents and communicate complex ML concepts clearly to non-technical stakeholders across product, design, and CX teams.; Required Skills and Experience: Utilizes generative AI responsibly, maintaining human oversight to deliver business-ready outputs and drive measurable improvements in workflow efficiency, cost, and quality.; Required Skills and Experience: Demonstrates the ability to responsibly use generative AI tools and copilots (e.g., LibreChat, Gemini, Glean) in daily workflows, continuously learn as tools evolve, and apply human‑in‑the‑loop practices to deliver business‑ready outputs and drive measurable improvements in efficiency, cost, and quality.
Distinguished Engineer, Frontier Agentic AI (Remote)
9 days agoWhat You'll Need: PhD in Computer Science, Computer Engineering, Applied Mathematics, Statistics, Neuroscience, or a related quantitative field.; What You'll Need: A sustained record of original work at the intersection of AI and cybersecurity, including research or systems that introduced new capabilities, approaches, or applications.; What You'll Need: Deep cybersecurity expertise developed through significant technical work in areas such as threat hunting, detection and response, vulnerability research, adversary behavior, security analytics, or security automation. You can independently identify important security problems and opportunities for applying AI to them.; What You'll Need: Deep hands-on experience architecting and building end-to-end AI systems that combine models, reasoning, tools, data, and execution environments.; What You'll Need: Strong applied research instincts and quantitative rigor. You can formulate hypotheses, design meaningful experiments, establish credible baselines, and follow the evidence.; What You'll Need: Experience taking sophisticated ML or AI systems from research prototypes to real-world deployment.; What You'll Need: Demonstrated technical leadership across teams, including setting research and engineering direction, mentoring senior technical talent, and influencing major decisions through technical depth and evidence.; What You'll Need: Research or engineering experience with autonomous or multi-agent systems, long-horizon reasoning, adversary simulation, or closed-loop security systems.; What You'll Need: Experience with adversarial learning, reinforcement learning, model post-training, synthetic data, or other methods for improving AI systems through interaction and feedback.; What You'll Need: Experience building AI systems for high-volume, latency-sensitive cybersecurity environments.; What You'll Need: Experience architecting and building extensible AI or agentic platforms that enable teams to develop, evaluate, optimize, and deploy sophisticated AI applications at scale.; What You'll Need: Contributions to influential research, open-source software, or technical communities spanning AI and cybersecurity.
Senior Machine Learning Systems Engineer, ML Platform
9 days ago5 years of experience, ML infrastructure, Signal governance, Batch and streaming data processing, Production-quality systems, Distributed systems
Senior AI Engineer
9 days agoPython · SQL
5+ years software/data/ML engineering, production LLM apps, semantic search, ranking metrics, Python and SQL
AI Innovation Engineer
9 days agoPython
6+ years applied ML, Python, PyTorch or JAX, deep learning training at scale, no new H-1B sponsorship