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An AI Research Engineer develops and deploys machine learning models, conducts research, and collaborates with teams to solve complex problems using Python, TensorFlow, PyTorch, and NLP/Computer Vision techniques.
The LLM Engineer will design and operationalize fine-tuning workflows for large language models using techniques like RLHF and DPO. The role involves building scalable training pipelines, managing GPU cluster operations, and collaborating with cross-functional teams to deliver production-grade AI solutions.
Develop and deploy production ML systems for NLP, speech recognition, and data analysis using PyTorch, TensorFlow, and cloud platforms (AWS, Azure, GCP) at a major financial institution.
Develops advanced AI/ML models (tree models, deep learning, reinforcement learning, Generative/Agentic AI) to optimize P&G’s billion-dollar operations, combining cloud-based data analysis with scalable production deployment.
Data Scientist at P&G designing and implementing scalable ML/AI algorithms—including Generative/Agentic AI, optimization, and deep learning—on massive cloud-hosted datasets using Python and mainstream ML libraries.
This role involves architecting and optimizing end-to-end training workflows for robotics foundation models like Cosmos and GR00T. The candidate will work with researchers and engineers to scale multimodal model training and data pipelines across multi-GPU and multi-node systems.
Lead Data Scientist translates business challenges into data-driven insights by building, deploying, and optimizing ML models (including generative AI) using Python/R/Scala. Focuses on full AI workflows—from feature engineering to model monitoring—while mentoring teams and advising executives on strategic decisions.
Design, develop, and evaluate quantitative models for PNC's retail lending analytics, applying reinforcement learning and optimization modeling techniques to decision-based problems.
Design, develop, and evaluate quantitative models for retail lending analytics, applying reinforcement learning and optimization modeling techniques at a major bank's in-office Data Modeling & Analytics team.
As a Data Scientist at P&G, you will design and implement scalable machine learning, optimization, and generative AI models to solve complex business problems. You will collaborate with engineering teams to productionize these solutions while mentoring others and applying advanced analytics to massive datasets.
The Senior Data Scientist will design and implement advanced AI, machine learning, and optimization models to solve complex business challenges at scale. The role involves collaborating with engineering teams to deploy production-ready solutions using cloud platforms like GCP or Azure.
This role involves building web portals and agent-related products for an early-stage embodied AI and robotics startup. The engineer will work closely with the research team to translate complex algorithms into usable software products.
Senior AI Engineer designing, building, and optimizing AI agents, RAG pipelines, and fine-tuning LLMs using Python, PyTorch/Hugging Face, and vector databases.
Lead advanced analytics and GenAI solutions for American Express GCS Marketing, building production ML/LLM systems for real-time targeting, personalization, and next-best-action decisioning using Python and SQL.
Lead end-to-end data exploration, analytics, and modeling on large-scale vehicle data, architecting optimized algorithms and developing agentic AI applications for software-defined vehicles using Python and ML/DL frameworks.
Lead Data Engineer designing, building, and scaling data ingestion, anonymization, and enrichment pipelines for a library of real-world business workflow datasets, using Python, SQL, and orchestration tools like Airflow/Dagster/dbt.
Staff Software Engineer on Google Cloud's AI/ML team, leading design and optimization of large-scale ML infrastructure, model deployment, and data processing strategies for Vertex AI and related platforms.
Research and develop machine learning models for autonomous vehicle behavior planning and prediction, deploying solutions on real-world self-driving vehicles using Python and C++.
Research and develop generative AI models (diffusion, flow-matching) for autonomous vehicle planning, integrating foundation models and reinforcement learning to improve decision-making and real-world deployment.
Who We Are Nuro believes self-driving vehicles are the most immediate and profound opportunity for AI to drive positive change in the physical world. Safer streets, more time for what matters, and easier access to the…
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