Virginia: eligible, according to the employer's posting.
Who can apply: Only open to applicants in: Pennsylvania, Virginia.
Location as listed by the employer: “Arlington, Virginia, United States; Pittsburgh, Pennsylvania, United States; Remote; Arlington Office; Pittsburgh Office”
Apply on Air's site ↗
Opens the employer's official application page.
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About this role
Air is hiring for a Senior Machine Learning Engineer role (full-time). See the official posting for full details.
Requirements
- U.S. Citizenship is required
- 5+ years of experience building production machine learning systems, ML infrastructure, distributed systems, or similar technical systems.
- Deep experience designing, building, and operating production ML infrastructure or ML platforms.
- Experience building infrastructure for training, fine-tuning, evaluating, deploying, and monitoring large language models or other large-scale deep learning models.
- Experience with LLM fine-tuning and post-training workflows, including techniques such as supervised fine-tuning, LoRA/QLoRA or other parameter-efficient approaches, and preference optimization.
- Strong understanding of the modern LLM lifecycle, including data preparation, training, evaluation, model artifacts, deployment, inference, monitoring, and iteration.
- Experience building reproducible ML pipelines involving dataset versioning, experiment tracking, model versioning, and automated evaluation.
- Experience building and operating production GPU infrastructure across AWS, GCP, Azure, or dedicated GPU providers, including training and/or inference workloads.
Summarized from the employer's posting — check the full posting for every requirement.
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