ML Engineer – Remote - $100–$150/hour

ML Engineer – Remote - $100–$150/hour*

🏢 Company: [micro1]

📍 Location: Remote

💰 Salary:$100–$150/hour

⏳ Type: Full Time

🎓 Experience: 1 to 2 years

📂 Category: Remote Job

Job Description:

🤖 **ML Engineer – Remote - $100–$150/hour** 💰 **Pay:** $100–$150/hour 💼 **Type:** Contractor 🌍 **Work Model:** Fully Remote – Global ⏱️ **Availability:** ~15 hours/week micro1 is looking for highly skilled **Machine Learning Engineers & Researchers** to contribute to an advanced **AI training project** involving model development, training and inference systems, numerical computing, and performance optimization. ### What You’ll Work On 🔹 Develop and validate ML models, training pipelines, and inference systems 🔹 Build reproducible workflows using **Python and command-line tools** 🔹 Work with tensor operations, automatic differentiation, model architectures, tokenization, batching, and generation 🔹 Optimize ML systems for latency, throughput, memory, and hardware utilization 🔹 Diagnose numerical instability, memory bottlenecks, distributed-system failures, and performance regressions 🔹 Review AI-generated code and technical solutions for correctness and efficiency 🔹 Design objective tests, benchmarks, and verification criteria 🔹 Document technical decisions, trade-offs, and system limitations

Job Requirements:

✅ Master’s degree or PhD in **Computer Science, Machine Learning, AI, Applied Mathematics, Statistics, Engineering**, or a related quantitative field ✅ Strong professional or research experience in **Machine Learning** ✅ Strong **Python** skills ✅ Experience with at least **2 relevant ML frameworks, libraries, or inference tools** ✅ Strong understanding of model training, evaluation, numerical computing, or inference ✅ Ability to debug ML systems beyond high-level API usage ✅ Experience building reproducible technical workflows ✅ Strong technical communication and ability to explain engineering trade-offs ### Relevant Technologies **PyTorch • JAX • NumPy • SciPy • SGLang • vLLM • llama.cpp • Hugging Face Transformers • Hugging Face Tokenizers** Equivalent technologies may also be considered when candidates demonstrate relevant depth. ⭐ Experience at a recognized **technology company, AI lab, research organization, or engineering environment** is strongly preferred. Exceptional open-source or academic experience may also qualify. ### Hiring Process 1️⃣ Apply & complete screening questions 2️⃣ ~30-minute AI interview 3️⃣ Technical assessment, if required 4️⃣ Hiring manager review ### Compensation 💵 **$100–$150/hour** ⚠️ Compensation is **output-based** — experts are paid per task that meets project specifications. Task completion time may vary depending on experience and workflow. 🚀 **100 Openings | Global Remote | Flexible Schedule | Start ASAP**

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