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RL Environment Data Engineer / Researcher
Designs and builds reinforcement-learning training environments, defines reward functions, and validates data quality to train and evaluate AI agents across domains.
Python Developer
Build and deploy AI/ML models for a public-sector client, focusing on OCR, object detection, and LLM fine-tuning using Python, PyTorch, Hugging Face, and AWS serverless tools.
Lead Data Scientist (Remote)
Lead a team building AI-driven models for marketing, audience targeting, and healthcare analytics at GoodRx, using Python, ML, and cloud platforms to optimize prescription savings and B2B offerings.
Senior Data Science Engineer
Build and deploy AI-driven travel systems: optimize airline pricing, automate agency workflows, and enhance GDS operations using ML, generative AI, and MLOps on GCP.
Amazon Applied Scientist II, Prime AI/ML Science
Build and deploy large-scale AI/ML models to optimize Amazon Prime’s customer experience using GenAI, LLMs, and reinforcement learning on TB-scale data.
Senior Manager, Analytical AI Clinical Development
Working with Us Challenging. Meaningful. Life-changing. Those aren’t words that are usually associated with a job. But working at Bristol Myers Squibb is anything but usual. Here, uniquely interesting work happens…
Senior Director - GenAI Data Strategy
Lead NVIDIA’s GenAI data strategy, defining how diverse datasets fuel and align large-scale AI models, and partnering with research teams to refine data pipelines and synthetic generation.
Senior Developer Relations Manager – GR00T End-to-End Workflow
Own developer and partner adoption of NVIDIA’s Isaac GR00T end-to-end robotics workflow, guiding teams from model training to real-time deployment on Jetson Thor.
AI/ML driven ASIC Design and Implementation Automation Engineer
Design AI/ML-driven automation for ASIC chip development, using GenAI, reinforcement learning, and neural networks to optimize power, performance, and area for NXP’s processors.
Sr AI Engineer
Build and optimize AI systems for customer service automation, using prompt engineering, RAG, and agentic workflows to improve real-time interactions at scale.
Associate Data Scientist
Build and deploy agentic AI workflows for clinical operations and research in urology, integrating multi-modal data and ensuring reliability in a healthcare setting.
AI Research Engineer
Research and build agentic LLMs and reinforcement-learning systems for code generation, running experiments, curating datasets, and shipping production-quality research code.
Machine Learning Engineer
Build reinforcement-learning environments to train frontier models, blending research and engineering with Python, PyTorch/JAX, and transformer internals.
Machine Learning Engineer
Build reinforcement-learning environments and reward functions to train frontier AI models, blending research with engineering in a startup setting.
Machine Learning Engineer, Low Level & Kernels Capabilities
Build low-level reinforcement-learning environments targeting hardware kernels (GPU/accelerator, FPGA, vector ISAs) to stress-test frontier AI models and prevent reward hacking.
Cybersecurity Capabilities Engineer
Build reinforcement-learning environments that teach LLMs to find, exploit, and patch vulnerabilities across codebases and binaries using fuzzers, sanitizers, and static analyzers.
Principal AI/ML Research Engineer
Principal AI/ML Research Engineer leads applied research in generative AI, deep learning, and Transformers to build Payment Foundation Models for commerce and fintech challenges, driving novel architectures from prototype to production.
Amazon Applied Scientist, Generative AI (Video)
Build generative AI models to create production-ready video content and localized assets for Prime Video, using deep learning and computer vision to enhance global entertainment experiences.
Amazon Senior Software Development Engineer, Stores Foundational AI
Build and scale foundational large language models for Amazon’s shopping experiences, focusing on ML infrastructure, post-training, and reinforcement learning to improve personalization and customer interactions.
Amazon Applied Scientist, LLM Code Agents
Build and deploy large language models for AI-powered code agents, focusing on reinforcement learning and post-training methods to enhance developer productivity at Amazon Web Services.