Remote Machine Learning Engineer jobs open to North America.
North America? Yes. Missing $$$ is still a data point.
Can you be more specific?
102 openings. None older than 30 days.
Newest first Β· page 4
Senior, ML Engineer - 3D Reconstruction
29 days agoPython Β· Docker
3 years of experience, 3D reconstruction, Lane line detection, Automatic mapping, Pose estimation, Active Learning, Pseudo-labeling, 2D/3D Object Detection, Sensor Fusion, Semantic Segmentation, MLOps, PyTorch, Model Data Curation, Python, Cloud-based development, CI Systems, Docker
Senior Machine Learning Systems Engineer, Ads ML Experience Platform
29 days ago5 years of experience, Large-scale distributed systems, Production ML infrastructure, Workflow orchestration systems, Distributed data processing (Spark, Flink, Ray), Modern orchestration technologies (Kubeflow, Argo, Airflow), Offline ML experimentation platforms, Agentic AI systems
Senior/Staff Machine Learning Engineer, Data Infrastructure
29 days agoPython
Flink, Spark, Ray, Data pipeline optimization, Python, Data lakes, Workflow orchestration systems, Systems thinking, Technical leadership
Senior AI/ML Engineer
29 days ago5 years of experience, LLM shipping, Evaluation discipline, Modern LLM stacks, Agentic patterns, RAG, Tool use and function calling, Structured outputs, Prompt engineering, Context engineering, Judgment under ambiguity, Explainability, Ownership through production pain, Cost and safety literacy
Senior Applied Research Scientist β AI Native Numerical Methods
29 days ago5 years of experience, AI-native numerical algorithms, Machine learning integration with numerical algorithms, PyTorch, JAX, GPU computing, PDEs, Sparse linear algebra, Differentiable programming, Scientific machine learning, AI-guided multigrid methods, Solver-in-the-loop pipelines, Differentiable simulation, Inverse design, Uncertainty quantification, Bayesian methods, Reinforcement learning for solver control
Staff Machine Learning Engineer, Gen AI | Voice & Speech
about 1 month agoAWS Β· GCP
15 years of experience, MLOps, GenAI expertise, Voice and audio ML solutions, Distributed systems architecture, High-scale audio/voice models, LLMs, Prompt Engineering, Cloud-native infrastructure (GCP/AWS), Scalable data stores (PostgreSQL, NoSQL), Cross-team technical leadership, Compliance-heavy environment experience
Applied AI Engineer
about 1 month agoPython Β· Java
5 years of experience, Applied AI experience, LLM-powered workflow, Python, C/C++/Java/Scala, Silicon development environment, Deep learning frameworks, AI technologies, Orchestration agents, Computer architecture fundamentals, Production test and validation
Senior Deep Learning Architect, LLM Inference
about 1 month ago6 years of experience, Deep learning inference serving, PyTorch, LLM applications with OpenAI API, CPU and GPU microarchitecture, Profiling and compiler optimizations, E2E profiling tools, AI coding agents (Claude Code, Codex, Cursor), Benchmarking methodologies, Performance bottlenecks identification, Databases and visualization tools
AI Applications Engineer
about 1 month agoPython
6 years of experience, Python, PyTorch, Fine-tuning transformer-based language models, Distributed training strategies, RLHF, Evaluation methodology, Impactful LLM work, Dataset construction
Applied RL Engineer
about 1 month agoPython
6 years of experience, Reinforcement Learning, Python, Deep learning frameworks, RL library experience, Reward function design, Simulation environments, Neural network training on GPU clusters, Impactful RL work track record
Research Scientist β AI
about 1 month agoPython
6 years of experience, Python, PyTorch, JAX, Deep learning model training, ML model productionization, Distributed training, Mixed-precision training, Mathematics and statistics, Research literature evaluation, Impactful AI project delivery
Consultant Machine Learning & Knowledge Graph Engineer
about 1 month agoKubernetes Β· Docker
12 years of experience, Graph Architecture Mastery, Neo4j, Stardog, Distributed Systems, PySpark, Kafka, ETL pipelines, Airflow, AI frameworks, Cloud environments, Docker, Kubernetes, LLM-based solutions, Agentic AI applications