…The team brings together technical strategy, customer partnership, and practical deployment expertise, working closely with Sales, Product, Engineering, Research, and specialist delivery teams. About…

…capabilities and offerings for public and private evaluations. About Data Engine Our Generative AI Data Engine powers the world’s most advanced LLMs and…

…Filtering, deduplication, augmentation, and evaluation are first-class concerns for our team, not afterthoughts. - Solves problems independently: Our data engineers sit within training groups…

…our app via analysis, research, and by leveraging granular user action and sequence datasets. Partner: With product and engineering, drive technical frameworks and science…

…Experience taking models from conception to production (scoping, data analysis, training, debugging, evaluation, benchmarking, and deployment). Engineering Excellence: Excellent software development skills with strong…

…Prior internship or research lab experience in a complex engineering system development and/or test environment is required. Experience with: Applying engineering fundamentals in…

…Work closely with other engineers and researchers, communicating research findings and contributing to technical documentation. Design and conduct benchmarks to evaluate the effectiveness of…

…team, you will help OpenAI evaluate and bring up new compute platforms that can support large-scale AI training and inference. Your work will…

…conduct data ablations to evaluate data quality and construct pre-training data mixtures to enhance model performance. By combining research and engineering, you will…

…backend infrastructure to support distributed training, inference, and data processing pipelines. - Lead technical design discussions, mentor other engineers, and establish best practices for building…

…The AI Security Engineering team at Databricks builds the security tools, detection systems, and engineering infrastructure that protect Databricks' AI platform and the AI…

…Collaborate with AI researchers to iterate on datasets, evaluation metrics, and model architectures to improve quality and relevance. Work with product engineers to define…

…Identify and eliminate bottlenecks in data transfer and synchronization during distributed deep learning training and inference. Designing efficient communication protocols: Develop and implement communication…

…agent training and evaluation Collaborate with cross-functional teams (Product, Engineering) to integrate capabilities like multimodal world modeling and autonomous agents into Datadog's…

…Build a strong partnership with product and research teams to define the roadmap for Search Quality, including ranking models and evaluation frameworks. Manage and…

…Your work will directly guide the research programs of the most ambitious training runs happening at OpenAI. Some prior open-sourced evaluations built by…

…Computer Science, Electrical Engineering, Mathematics, Operations Research, Optimization, or Data Science Or an MS with at least 7 years of industry or research experience…

…8+ years of hands-on validated ML/DL performance engineering experience with focus on improving GPU compute efficiency of training and inferencing workloads. Experience…

…Collaborate with researchers and engineers to integrate and optimize models for production and research use cases. Conduct architecture and design reviews to uphold best…

…We have contributed to leading open-source research, models, and datasets to advance the frontier of AI, and our team has been behind technological…

…engineering, training, tracking, serving, to model monitoring, all within a single platform, as well as participating in the larger ML SME community in Databricks…

…ABOUT THE ROLE As a Software Engineer on the RL Research & Environments team, you will design and operate the data, evaluation, and environment systems…

…to data, interaction, and evaluation. You will contribute to impactful research publications on agents, collaborate with customer researchers, and work alongside the engineering team…

…including training, evaluation, data, and deployment - Opinions about building a company-wide platform for ML training, evaluation, and deployment - Experience with performance engineering and…

…The team works closely with research, data, and platform engineers to ensure models can scale from prototype to production-grade training runs. In This…