Senior Data Scientist – LLMs, RAG, Multimodal AI

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September 15

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Proximity Works

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Artificial Intelligence • SaaS • Enterprise

Proximity Works is a global tech company specializing in Artificial Intelligence and SaaS solutions. They focus on building high-performance software that leverages cutting-edge AI technologies to enhance productivity and transform business operations. Their services include AI-powered SaaS solutions, UX design, and product engineering to help companies scale effectively. Proximity Works collaborates with industry giants like Nasdaq, Disney, and ESPN, offering expertise in AI strategy, machine learning, and high-caliber product development.

51 - 200 employees

🤖 Artificial Intelligence

☁️ SaaS

🏢 Enterprise

📋 Description

• Design, fine-tune, and optimize LLMs for applied multimodal generation use cases. • Build and productionize RAG pipelines that combine embedding-based search, metadata filtering, and LLM-driven re-ranking/summarization. • Apply prompt engineering, RAG techniques, and model distillation to improve grounding, reduce hallucinations, and ensure output reliability. • Define and implement evaluation metrics across semantic search (nDCG, Recall@K, MRR) and generation quality (grounding accuracy, hallucination rate). • Optimize inference pipelines for latency-sensitive use cases with strategies like token budgeting, prompt compression, and sub-100ms response targets. • Train and adapt models via transfer learning, LoRA/QLoRA, and checkpoint reloading, ensuring robust deployment in production environments. • Collaborate with product and research teams to explore innovative multimodal integrations for user-facing applications.

🎯 Requirements

• Strong background in NLP, machine learning, and multimodal AI. • Proven hands-on experience in LLM fine-tuning, RAG, distillation, and evaluation of foundation models. • Expertise in semantic search and retrieval pipelines (e.g., FAISS, Weaviate, Vespa, Pinecone). • Demonstrated ability to deploy models at scale, including distributed inference setups. • Solid understanding of evaluation frameworks for ranking, retrieval, and generation. • Proficiency in Python, PyTorch/TensorFlow, and modern ML toolkits. • Experience in multimodal AI (bridging text, vision, or speech with LLMs). • Track record of shipping latency-sensitive AI products. • Strong communication skills and the ability to collaborate with cross-functional global teams.

🏖️ Benefits

• Work directly on frontier AI problems with some of the world’s largest sports, media, and entertainment brands. • Be part of a global-first, high-performance engineering culture. • Competitive compensation aligned with global markets, with remote-first flexibility. • Annual global off-sites with Proxonauts from San Francisco, Dubai, India, and beyond. • High autonomy, direct accountability, and the opportunity to ship AI systems at scale.