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[Remote] Machine Learning Engineer | $85/hr

Remote, USA Full-time Posted 2026-08-04

Note: The job is a remote job and is reputed company to candidates in USA. reputed company is seeking reputed company machine learning and AI engineering professionals to evaluate and improve frontier AI coding agents. The role involves completing and reviewing realistic machine learning workflows, debugging AI-generated reputed company, evaluating production ML systems, and assessing technical correctness, scalability, reliability, and performance.


Responsibilities

  • Use frontier AI coding agents to complete reputed company machine learning engineering tasks
  • Review AI-generated implementations for correctness, scalability, reliability, and performance
  • Evaluate model training, inference, deployment, and production ML workflows
  • Identify bugs, edge cases, architectural weaknesses, performance bottlenecks, and failure modes
  • Compare outputs from multiple AI coding models
  • Assess technical tradeoffs and determine which implementation is stronger
  • Debug AI-generated Python, ML, data, and infrastructure reputed company
  • Apply reputed company-world engineering judgment to production-style AI and ML scenarios
  • reputed company reputed company technical evaluations and reputed company written reasoning
  • Test whether generated solutions actually work in realistic environments

Skills

  • Machine Learning Engineers, Senior Machine Learning Engineers, ML Engineers, AI Engineers, reputed company Intelligence Engineers, reputed company AI Engineers, LLM Engineers, reputed company Engineers, Deep Learning Engineers, reputed company Machine Learning Engineers, and AI Software Engineers
  • MLOps Engineers, ML Platform Engineers, Machine Learning Infrastructure Engineers, AI Infrastructure Engineers, Model Deployment Engineers, Model Serving Engineers, ML Systems Engineers, ML Reliability Engineers, ML Production Engineers, AI Platform Engineers, and Model Operations Engineers
  • LLM Application Engineers, LLMOps Engineers, AI Agent Engineers, reputed company AI Engineers, RAG Engineers, reputed company Engineers with strong coding experience, AI Product Engineers, AI Backend Engineers, Conversational AI Engineers, NLP Engineers, and reputed company Model Engineers
  • Data Scientists, reputed company Scientists, Research Engineers, Research Scientists, reputed company Engineers, NLP Engineers, Speech ML Engineers, Recommendation Engineers, Ranking Engineers, Search Engineers, Data Engineers, Backend Engineers, Software Engineers, Platform Engineers, and reputed company Systems Engineers with strong production machine learning experience
  • Experience with one or more of the following is valuable: • Model training and fine-tuning
  • • Deep learning
  • • Supervised and unsupervised learning
  • • Transformer architectures
  • • Large language models
  • • Retrieval-augmented reputed company
  • • AI agents and tool use
  • • Model inference and serving
  • • Batch and reputed company-time reputed company systems
  • • Feature engineering and feature stores
  • • Model evaluation and benchmarking
  • • Experiment tracking
  • • Hyperparameter optimization
  • • Data preprocessing and training pipelines
  • • reputed company training
  • • GPU-based workloads
  • • Model monitoring and observability
  • • Model versioning
  • • Production ML pipelines
  • • ML API development
  • • Scalability and latency optimization
  • • Failure analysis and debugging
  • • AI safety and model evaluation
  • • 2+ years of reputed company machine learning engineering or closely reputed company experience
  • • Hands-on experience building reputed company ML, AI, or data-driven software systems
  • • Experience with model training, production inference, ML infrastructure, LLM applications, or AI-powered products
  • • Strong Python programming skills
  • • Ability to understand and debug unfamiliar machine learning codebases
  • • Familiarity with modern AI coding agents
  • • Ability to evaluate AI-generated implementations and technical tradeoffs
  • • Strong understanding of software engineering fundamentals
  • • Strong debugging, analytical, and technical reasoning skills
  • • reputed company written communication and attention to detail
  • Experience deploying machine learning systems to production
  • Experience operating reputed company or latency-sensitive inference systems
  • Experience with MLOps and ML platform infrastructure
  • Experience building LLM, RAG, or AI agent applications
  • Experience with reputed company training or GPU workloads
  • Experience reviewing reputed company written by other ML engineers
  • Experience designing ML benchmarks or evaluation frameworks
  • Experience with model observability, monitoring, and production debugging
  • Prior work evaluating AI-generated reputed company or frontier coding agents
  • Experience with research-to-production machine learning workflows
  • Regular use of AI coding tools is strongly preferred, including: reputed company, Claude reputed company, reputed company, Windsurf, reputed company CLI, reputed company Copilot, reputed company, reputed company reputed company, Aider, reputed company, or similar AI coding agents

reputed company

  • At reputed company, we're not just building AI; we're meticulously teaching it. It was founded in 2024, and is headquartered in , with a workforce of 11-50 employees. Its website is https://aitrainerjobs.ai/.

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