Machine Learning Engineer
Posted 2 days ago
You'll complete your application on Rex's career site.
About the Role
In this remote position, you will be essential in developing and assessing advanced AI models, specifically within the domains of machine learning and large language model engineering. Your primary focus will be on crafting intricate assignments, auditing AI-produced programming, and setting benchmarks to evaluate model performance. You will actively influence the progression of AI proficiency by upholding rigorous standards for accuracy in technical output. Your contributions will shape how systems interpret and apply machine learning theories. Through participation in calibration workshops and the delivery of organized critiques, you will assist in optimizing model output and ensuring uniform quality benchmarks are met throughout every initiative.
Requirements
- You must possess a degree in statistics, computer science, or a comparable discipline, or provide evidence of equivalent professional expertise.
- A minimum of three years of professional experience in applied machine learning or ML engineering is required.
- You need strong Python skills, including experience with TensorFlow or PyTorch, and a firm grasp of model training, evaluation, and deployment processes.
- You must have proven capability in managing experiment tracking and constructing data pipelines.
- You should be proficient in English writing, able to work autonomously, maintain high attention to detail, and reliably adhere to schedules.
- Background in distributed training, inference optimization, fine-tuning LLMs, or previous involvement in AI training is a significant asset.
Responsibilities
- You will develop detailed machine learning and LLM engineering projects, which includes building data pipelines and authoring evaluation scripts.
- You will assess the precision and effectiveness of code produced by AI and conduct detailed audits of research methodologies, including data leakage checks, metric validation, and reproducibility testing.
- You will draft superior reference solutions and comprehensive scoring criteria for machine learning topics, analyze various model results, and provide clear written assessments.
- You will catalog frequent reasoning mistakes and engage in regular project calibration and review meetings to guarantee adherence to standards and quality benchmarks.
Benefits & Perks
- Pay for this position is between $75 and $150 USD per hour, with the exact rate determined by your location.
Note: This listing is summarized and paraphrased by WorkNow from a publicly posted role. For the original wording and full details, please refer to the employer's official posting.
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