…APEX research team, plus regular access to the broader research org - Access to frontier model APIs, Mercor’s internal evaluation infrastructure, and — where appropriate…

…Scientists to operationalize research models into production-grade inference pipelines Own the full ML model lifecycle: training infrastructure, real-time serving, monitoring, retraining, and…

…We work across the full model stack—pretraining, midtraining, reinforcement learning, post-training, evaluations, harnessing, and deployment—and connect that research to the patients…

…Partner with engineers to productionize models, decision systems, data products, and experimentation infrastructure. Own post-launch decision quality by monitoring model and KPI performance…

…testing models to improve how we measure and act on sentiment data. About the team Our team owns the research and measurement infrastructure that…

…and econometric modelling and demonstrated strength in market mechanism design to join our cross-domain group of economists, data scientists, applied and research scientists…

…system design, experiments, and decision rationale, including model risk artifacts, validation evidence, and reproducibility details. Builds reusable tooling and infrastructure — Contribute to shared libraries…

…and enjoys turning ambiguous problems into reliable, scalable systems. In this role, you’ll go beyond traditional QA—fine tuning test infrastructure, tooling, and…

…You'll build and operate the systems, services, and agent infrastructure that let product teams move fast and reliably — from data access layers and…

…Comfortable collaborating cross-functionally with research scientists, data engineers, and robotics/autonomy teams to ship infrastructure used by others Bonus Qualifications Experience with robotics…

…Build and contribute to infrastructural software components (e.g. scheduler, resource model, concurrency and parallelism primitives), and reusable building-blocks/steps of the bring…

…Strong Python and advanced PyTorch expertise, with experience modifying models, training pipelines, or research infrastructure to support novel experimentation. Strong practical depth in agentic…

…Collaborate with Data Scientists to translate complex models and experimental algorithms into clean, high-performance, production-grade code. End-to-End Pipeline Architecture: Design…

…About the team The Automated Vehicle Testing Team is a mix of scientists and software engineers responsible for data infrastructure, tools, and research that…

…and TypeScript with deep expertise in RAG, DAG, MCP, ACP, agentic evaluations, AWS infrastructure (Lambda, DynamoDB, CDK), and data modelling for both relational and…

…What You'll Do As a Senior Applied Research Scientist, you will own significant parts of the agent harness — the infrastructure layer that enables…

…Microsoft Cloud Background Check Citizenship & Citizenship Verification Ability to leverage AI tools to drive innovation and efficiency (e.g., performance modeling and analysis, research…

…Build and maintain infrastructure for efficient data loading, storage, and retrieval at scale (S3, distributed systems, streaming pipelines). Collaborate with research scientists to translate…

…Work with AI Infrastructure engineers to build scalable evaluation frameworks that measure model performance, reliability, and safety in high-stakes environments. Rapid Prototyping to…

…and backlog for a portfolio spanning recommendations, ranking, predictive models, segmentation, assistant experiences, and the model development lifecycle platform Lead discovery and research, translating…

…scientists on building reliable, scalable, and reusable evaluation infrastructure. Stay current with LLM evaluation methods, agentic systems, RAG evaluation, benchmark design, prompt/model behavior…

…You understand that a model is only as good as the problem it solves. - You have moved past prototyping and have a deep understanding…

…deeply with scientists on evaluation methodology, data quality, and model behavior, and equally deeply with engineers on architecture, inference latency, and reliability. Decisive under…

…You'll play an active role in translating research ideas into production systems and build quick prototypes in partnership with Applied Scientists and engineering…

Applied Scientists in AWS Automated Reasoning develop and apply bleeding-edge formal methods, automated reasoning techniques, and neurosymbolic approaches to ensure the security, reliability…