Remote Machine Learning Engineer jobs.
“Remote”? Depends where. Missing $$$ is still a data point.
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221 openings. None older than 30 days.
Newest first · page 7
Machine Learning Engineer II - Learned Planning (Reinforcement Learning)
24 days agoPython
4 years of experience, Reinforcement learning, Imitation learning, Behavior cloning, Python, PyTorch, ML model evaluation, ML architecture understanding, Large dataset training, Simulation environments, Vehicle dynamics
Senior Staff Machine Learning Engineer
24 days agoPython · SQL · AWS
8 years of experience, LLM-powered agents, Python, SQL, CI/CD, AWS, Data-driven quality approach, Threat modeling, Data engineering, Production AI/ML systems, Incident debugging, Containerization
Senior Machine Learning Engineer
24 days agoPython · SQL · AWS
3 years of experience, LLM-powered agents, Python, SQL, CI/CD, AWS, Data-driven quality approach, Threat modeling, Data engineering, Production AI/ML systems
Applied Research Engineer
24 days agoPython
5+ years software dev, 2+ years shipping ML models, Python, PyTorch, geometric data, US Eastern hours
Machine Learning Engineer Databricks - Mexico
24 days agoPython · SQL · Azure
Databricks Jobs/Asset Bundles, MLflow, Unity Catalog, Azure DevOps CI/CD, advanced Python and SQL
Senior Software Engineer (Remote)
24 days agoReact · Python · AWS
Ontario-based, 5+ years full-stack and production AI/ML systems, Python, React, AWS
AI Research Engineer
24 days agoPython
10+ years research and applied ML, Python, PyTorch or JAX, deep learning at scale, no new H-1B sponsorship
Intelligent Edge Engineer
24 days agoPython
6+ years ML engineering incl. edge/mobile AI, Python and C++, quantization and compression, no new H-1B sponsorship
LLM Engineer
24 days ago10+ years ML research and engineering, LLM fine-tuning (SFT, DPO, RLHF), PyTorch, FSDP or ZeRO, no new H-1B sponsorship
Reinforcement Learning Engineer
24 days agoPython
10+ years RL research and engineering, Python, deep learning frameworks, reward design, GPU training, no new H-1B
Senior Software Engineer - AI Evals
25 days agoPython · AWS
What We're Looking For 5+ years of software/ML engineering experience, including hands-on work building or maintaining evaluation, testing, or measurement infrastructure for ML systems. Direct experience with foundation model evaluation and benchmarking beyond using APIs — experience gained at a foundation model lab or similarly frontier research environment is strongly preferred. Demonstrated ability to own an evaluation solution end-to-end — from initial design and dataset/methodology creation through pipeline build, deployment, and production monitoring — with minimal hand-off. Direct experience designing evals for LLMs and/or AI agents — e.g., benchmark design, LLM-as-judge pipelines, human annotation platforms, or A/B and offline/online eval frameworks. Strong programming skills in Python, PyTorch / Tensorflow and experience building production-grade data/ML pipelines. Hands-on knowledge of key model training and evaluation platforms, particularly AWS (e.g., SageMaker, Bedrock) and Databricks (e.g., MLflow, Unity Catalog, Delta Lake). Solid grounding in applied statistics — comfortable reasoning about sample size, variance, significance testing, and the limitations of aggregate metrics. Working knowledge of how LLMs are trained and adapted (pretraining, SFT, RLHF/RLAIF/DPO) and how eval signal feeds into that lifecycle. Experience with agentic architectures — tool calling, multi-step planning, memory, orchestration frameworks — and the unique evaluation challenges they introduce. Familiarity with eval and observability tooling (e.g., internal or open-source frameworks for tracing, dataset versioning, experiment tracking). Excellent cross-functional collaboration skills; able to translate ambiguous product/research questions into concrete, measurable eval criteria. A bias toward rigor and skepticism — you instinctively question whether a metric is actually measuring what it claims to. Bonus Points We prioritize candidates with direct experience in the following areas: Post-training & evals: hands-on experience with post-training techniques (SFT, RLHF, RLAIF, DPO) and the evaluation methodologies used to validate them, ideally gained at a frontier model labs Model benchmarking: experience building, running, or maintaining benchmark suites used to track and compare frontier model capabilities across training runs and releases. Data quality: experience with the data quality side of model training — curation, filtering, deduplication, and quality scoring of pretraining and post-training datasets.
Senior machine learning engineer
25 days agoPython
4+ years production ML, Python, LLM apps, AI agents, search relevance or NLP
Principal Machine Learning Engineer
25 days ago8+ years ML/AI, knowledge graphs or GNNs, graph databases such as Neo4j, RAG and LLM orchestration
Machine Learning System Engineer
25 days agoRust
3+ years software engineering, C/C++ or Rust, GPU inference engines (vLLM, SGLang, TensorRT-LLM)
Principle Machine Learning Architect | Enterprise Agentic Search
25 days agoProduction RAG or agentic search architecture, enterprise search, LLM post-training (SFT, RL), distributed systems
Software Engineer, Machine Learning
25 days agoPython · SQL
5 years of experience, Production ML model deployment, Python, SQL, Real-time data pipelines, Ad tech experience, Big data solutions, Model evaluation and optimization, Cross-functional collaboration, Experimentation frameworks, Kedro, PyTorch, Databricks
AI Engineer Databricks - Mexico
25 days agoPython · SQL
Databricks and Unity Catalog, ML feature engineering, Python and SQL, data governance and lineage
Machine Learning Research Engineer
25 days agoPython
6+ years research & applied ML, Python, PyTorch or JAX, deep learning at scale, MS/PhD or equivalent
MLOps Engineer
25 days agoPython · Go · Rust
6+ years distributed systems/ML platform, Python, Golang/Rust/C++, vLLM or TensorRT-LLM, Kubernetes
Edge AI Engineer
25 days agoPython
8+ years ML engineering incl. edge/mobile AI, Python, C++, quantization/pruning, edge inference frameworks
Senior Software Engineer, Agentic AI
25 days agoPython
3+ years engineering, 1+ year production ML/LLMs, Python, RAG/fine-tuning/evals, healthcare AI a plus
AI Learning Systems Engineer
25 days agoPython
6+ years RL research and engineering, Python, deep learning frameworks, reward design, MS/PhD or equivalent
Edge Computing AI Engineer
26 days agoPython
US resident W-2; no new H-1B, CS/CE/related degree, 6+ years edge ML, Python + C++, model compression/quantization
Machine Learning Engineer, Growth Platform
27 days agoPython · SQL
3+ years ML engineering in production, Python, PyTorch or XGBoost, SQL, Spark, recommendation systems preferred
AI Software Engineer, Lightspeed Studios
27 days agoPython
Remote CA, 12+ years shipped AI/ML, C++ and Python, PyTorch, video/world/diffusion models, GPU inference
Reinforcement Learning Engineer
27 days agoPython
8 years of experience, Reinforcement learning algorithms, Python, Deep learning frameworks, RL library experience, Reward function design, Simulation environments, Neural network training on GPU clusters, Track record of impactful RL work
Sr. AI Engineer - Future Opportunities
27 days agoPython · Azure
Evergreen pipeline (not actively hiring), 7+ years SWE, Python, Azure, LLM/RAG apps, Ukraine-based, English B2+
AI Research Engineer
27 days agoPython
6 years of experience, Python, PyTorch, JAX, Deep learning model training, ML model productionization, Distributed training, Mixed-precision training, Published research in AI/ML, Large language model experience, Responsible AI practices
Edge AI Engineer
27 days ago8 years of experience, Model compression, Quantization, Edge inference framework, Mobile AI experience, Embedded systems expertise, Performance engineering, On-device privacy considerations, Custom NPU or DSP toolchains, Federated learning familiarity, LLM optimization for inference
Foundation Model Engineer
27 days agoPython
10 years of experience, Python, PyTorch, Fine-tuning transformer models, Distributed training strategies, RLHF, Evaluation methodology, GPU cluster operations, Shipping impactful LLM work