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Designs and builds large-scale search and ML systems for a sports betting platform, focusing on real-time personalization, relevance ranking, and vector search to power discovery experiences.
Principal Data Scientist at AbbVie designs, builds, and deploys AI/ML models to optimize pharmaceutical commercial strategies, using Python, R, SQL, and cloud platforms to analyze healthcare provider and patient data.
Build and orchestrate enterprise-grade AI workflows for document extraction and lending systems using PyTorch, LangChain, and RAG in a regulated financial environment.
Designs and builds a next-gen, real-time search platform at Apple scale, blending Generative AI with Information Retrieval to power user-facing experiences.
Principal ML Engineer New York, NY (Hybrid) About the Company We're building AI-native enforcement infrastructure for enterprise communication — technology that catches and fixes compliance issues in real time,…
Designs and deploys end-to-end AI infrastructure for enterprises, integrating NVIDIA GPU clusters, high-performance networking, parallel storage, and AI software stacks to support large-scale model training and inference.
Build and deploy production-grade LLM/NLP systems for financial services, fine-tuning models, optimizing pipelines, and ensuring low-latency, high-availability AI workflows in regulated environments.
Senior/Staff Software Engineer at a defense startup building autonomous gun turrets with computer vision and control systems using C++ and Python.
Senior ML Engineer builds and curates large-scale vision-language datasets to train Torc’s autonomous truck-driving models, using cloud pipelines, open-vocabulary labeling, and distributed compute.
Designs and deploys machine learning models for Apple News, Books, and Stocks apps, focusing on text extraction, search, ranking, and recommender systems.
Build and deploy AI systems for a social media app, including RAG, multi-agent LLM workflows, and generative media, using Python, LangChain/LangGraph, and GCP.
Lead a team to design, build, and deploy production-grade AI/ML systems for a large-scale digital platform, using Python, cloud tools, and MLOps practices.
Research and develop generative AI models and NLP systems using LLMs, embeddings, and RAG to build applied AI solutions.
Lead the development and optimization of AI/ML models (CNNs, Vision Transformers, LLMs) for AMD’s next-gen compute platforms, focusing on compiler toolchains, performance tuning, and system-level engineering.
Principal Software Architect at Graphcore defines and drives the software architecture for ML accelerators, ensuring coherence across firmware, drivers, ML frameworks, and hardware while communicating trade-offs to engineering teams.
Senior Software Engineer at Graphcore in Gdańsk optimizes and benchmarks the full AI stack—from ML frameworks and compilers to hardware—ensuring end-to-end performance for proprietary AI hardware and software solutions.
Senior engineer at Graphcore designs and evolves an ML application-level simulator to model workload execution and guide hardware/software architecture decisions using C++ and Python.
Develops and maintains a high-performance communication library for AI hardware clusters using C++, Python, and parallel computing techniques.
Staff Software Engineer at Graphcore designs and builds a high-performance communication library for AI hardware clusters, using C++, Python, and modern parallel computing techniques.
Senior Software Engineer at Graphcore in Gdańsk, Poland, building a large-scale simulator for AI hardware communication libraries using C++, Python, and modern parallel computing techniques.
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