🤖 ML Engineer | Remote | $100–$150/Hour Remote Openings 100

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🤖 ML Engineer | Remote | $100–$150/Hour Posted by micro1 🌍 Global | Fully Remote 👥 100 Openings 💰 $100–$150/Hour 💼 Contractor Position ⏰ Approx. 15 Hours/Week 📅 Flexible Schedule 🛠️ Required Skill Machine Learning 📌 ML Engineer – Remote Opportunity micro1 is looking for highly skilled Machine Learning Experts to contribute to an AI training project involving model development, training, inference systems, numerical computing, and performance optimization. This opportunity is designed for experienced ML engineers and researchers who have practical experience working with modern machine-learning systems. ✨ Candidates should be comfortable working beyond high-level APIs and understand the systems behind machine-learning workflows. 🔍 What You’ll Work On Develop and validate machine-learning models and training pipelines Build inference systems and supporting infrastructure Implement model components, data pipelines, and evaluation systems Create reproducible workflows using Python and command-line tools Work with tensor operations, automatic differentiation, model architectures, tokenization, batching, and generation Optimize training and inference for latency, throughput, memory, and hardware utilization Diagnose numerical instability and ML system failures Identify memory bottlenecks and performance regressions Compare model implementations and verify results Review AI-generated code for correctness and efficiency Design tests, benchmarks, and verification criteria Document technical decisions, trade-offs, and limitations ✅ Required Qualifications Master’s degree or PhD in Computer Science, Machine Learning, Artificial Intelligence, Applied Mathematics, Statistics, Engineering, or a related quantitative field Strong professional or research experience in machine learning Strong proficiency in Python Experience with at least two relevant ML frameworks, libraries, or inference tools Strong understanding of model training, evaluation, numerical computation, or inference Ability to debug ML systems beyond basic API usage Ability to explain technical decisions and performance trade-offs Experience building reproducible technical workflows 🔧 Relevant Tools Experience with tools such as: PyTorch JAX NumPy / SciPy SGLang vLLM llama.cpp Hugging Face Transformers Hugging Face Tokenizers Equivalent tools may also be considered when candidates demonstrate relevant expertise. 💡 Experience at a technology company, AI laboratory, research organization, or recognized engineering environment is strongly preferred. Strong open-source or academic experience may also qualify. 📝 Application Process Apply and complete the screening questions Complete an approximately 30-minute AI interview Complete a technical assessment, if required Complete the hiring manager review 💰 Compensation $100–$150 per hour 📌 Openings: 100 📌 Job Type: Contractor 📌 Workload: Approximately 15 hours/week 📌 Schedule: Flexible 📌 Location: Global / Fully Remote ⚠️ Compensation is output-based. Experts are paid per task that meets project specifications. The time required may vary depending on experience and workflow. Minimum submission requirements apply. 🚀 Start Timeline micro1 typically aims to fill roles within 48 hours. Selected candidates are expected to be ready to start their first task within 24–48 hours after completing onboarding. 🔗 How to Apply Interested candidates can apply through the micro1 application process and complete the required screening and interview steps. Apply Now