Description
Join Proximity Works, one of the world’s most ambitious AI technology companies, shaping the future of Sports, Media, and Entertainment. Since 2019, Proximity Works has created and scaled AI-driven products used by 697 million daily users, generating $73.5 billion in enterprise value for our partners. With headquarters in San Francisco and offices in Los Angeles, Dubai, Mumbai, and Bangalore, we partner with some of the biggest global brands to solve complex problems with cutting-edge AI.
We are looking for a Senior Data Scientist with deep expertise in large language models (LLMs), retrieval-augmented generation (RAG), and multimodal learning to shape the next generation of intelligent, scalable, and reliable search systems.
Role Summary
This is a hands-on applied science role at the frontier of AI. You will design, fine-tune, and optimize large-scale language and multimodal models, with a strong focus on retrieval and search. You will productionize retrieval-augmented pipelines, develop ranking and relevance techniques, and define robust evaluation frameworks. You will work closely with engineering and product teams to build systems that combine language, vision, and retrieval modalities — powering high-quality, real-world search and discovery experiences at scale.
What You’ll Do
- 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.
What Success Looks Like
- Deployment of production-ready LLM + RAG pipelines powering global-scale search and discovery applications.
- Demonstrable improvements in grounding accuracy and hallucination reduction across deployed systems.
- Consistent delivery of sub-100ms inference latency for generation workloads.
- Adoption of rigorous evaluation metrics that drive continuous model improvement.
- Effective cross-functional collaboration with engineering, product, and research teams.
Requirements
What You’ll Need
- 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.
Success Traits
Builder’s mindset · High ownership · Analytical clarity · Collaborative spirit · Global mindset · Growth orientation
Benefits
Why Join Proximity Works
- 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.
Shubham Vishwakarma
Full Stack Developer - Averlon
About Proximity Works
About
We are Proximity - a global team of coders, designers, product managers, geeks and experts. We solve hard, long-term engineering problems and build cutting edge tech products.
About us
Born in 2019, Proximity Works is a global, fully distributed tech firm headquartered in San Francisco - with hubs across Mumbai, Dubai, Toronto, Stockholm, and Bengaluru. We’re in the business of solving high-stakes engineering challenges with AI-powered solutions tailored for industries like sports, media & entertainment, fintech, and enterprise platforms. From real-time game analytics and ticketing workflows to creative content generation, we help build software that serves millions every day.
About the Founders
At the helm is Hardik Jagda, CEO - a technologist with a startup DNA who brings clarity to complexity and a passion for building delightful experiences.
Milestones & Impact
- Trusted by some of the world’s biggest players - from major media & entertainment giants to one of the world’s largest cricket websites and the second-largest stock exchange in the world.
- Delivered game-changing tech: slashing content creation by 90%, doubling performance metrics for NASDAQ clients, and accelerating speed/performance wins for platforms like Dream11.
Culture & Why It Matters
- Fully distributed and flexible: work 100% remotely, design your own schedule, build habits that work for you and not the other way around.
- People-first culture: Community events, “Proxonaut battles,” monthly off-sites, and a liberal referral policy keep us connected even when we’re apart.
- High-trust environment: autonomy is encouraged. You’re empowered to act, learn fast, and iterate boldly. We know great work comes when talented people have space to think and create.
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Full Stack Developer - Averlon