Location: 100 % remoteContract:Full-time, Independent ContractorPostingJurisdictions:To support US Eastern Time working hoursOur Firm:Sterlington PLLC is a full-service law firm focusing on complex corporateure model performance, robustness, and real‐world task success.Build and scale training workflows across distributed GPU infrastructure.Identify and resolve bottlenecks in training pipelines to achieve state‐of‐the‐art model quality on target benchmarks.Contribute to and leverage open‐source ecosystems including models, datasets, and tooling to accelerate development.Stay current with the latest research in multimodal learning and vision‐language systems, translating relevant findings into practical improvements.Publish research findings in top‐tier AI conferences and journals where applicable.Degree in Computer Science, Machine Learning,



or a related field; MS/PhD preferred.Strong experience with multimodal post‐training workflows including supervised fine‐tuning, knowledge distillation, and reinforcement learning from feedback.Hands‐on experience with parameter‐efficient fine‐tuning and distributed training frameworks.Demonstrated ability to build and improve vision‐language models with measurable results on standard benchmarks or real‐world tasks.Experience adapting models for resource‐constrained environments.Proven open‐source contributions in multimodal AI on GitHub or HuggingFace.Publications at top AI conferences (NeurIPS, ICML, ICLR, CVPR, ECCV etc.).
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📌 Attorney Development Manager (La Pampa)
🏢 FullStack
📍 La Pampa