• Help manage and contribute to shared research resources • Analyze wetland biomass and remote sensing data • Review literature and maintain an annotated bibliography • Assist with manuscript drafting, revisions, and editing • Participate in project meetings and present updates to collaborators • Support general research and project management tasks

• Developing automated quantum error correcting code discovery protocols and pipelines. • Using AI and automation to identify novel quantum error correcting codes that achieve high-performance across encoding rate, error suppression, and system realizability. • Integrating various classical machine learning methods for identifying high-performance code constructions, building bespoke machine learning models tailored to high-performance code design, and developing machine learning-based decoders for topological and/or QLDPC codes, with an emphasis on improving decoding accuracy, scalability, and adaptability to quantum logic settings. • Building out methods to identify and evaluate high-performance error correcting codes and decoders that directly incorporate hardware constraints of various types of physical systems. • Analyzing and evaluating the performance of fault-tolerant circuits implementing quantum error correcting logic and memory using analysis and simulation tools.

• Design tasks and benchmarks that distinguish capability levels across frontier models — including agentic, reasoning-heavy, and domain-specific (healthcare, finance, scientific) settings. • Validate evaluations rigorously: run human baselines, analyze inter-rater reliability, study how elicitation and scaffolding shift results, and quantify what’s signal versus noise. • Develop the “science of evals” at Protege — including item response theory, contamination analysis, predictive validity studies, and statistical frameworks for comparing models with appropriate uncertainty. • Run evaluations on current frontier models, sometimes in collaboration with partners at AI labs, enterprises, and government. • Publish research that establishes Protege as the standard-setter for evaluation data, and contribute to the broader AI community’s understanding of what good evals look like. • Translate findings into product, working closely with the data and engineering teams to turn research into evaluation datasets customers can deploy. • Partnering with outsourced annotation vendors - Evaluation data is only as good as the people producing it. A meaningful share of this role is owning the statistical machinery that determines which annotators we trust, on which tasks, and by how much — and translating that into trustworthiness scores Protege’s customers can rely on.

Role Description DRI’s Division of Hydrologic Sciences seeks a Full Stack Developer at the Staff Research Scientist (Rank 1) level. The candidate will contribute to ongoing environmental and geoscience research and data collection efforts. The successful applicant will be part of an interdisciplinary team dedicated to developing end-to-end monitoring solutions including sensor deployment, telemetry, data streaming and storage, and delivering easy to use web-based visualization of real-time and historical data tailored to client needs. This position involves the following research support activities: - Maintain and extend existing code bases used for backend and data management - Maintain and extend front-end web portals and supporting databases - Assist in managing internal automated monitoring and alerting systems - Assist in developing and maintaining data management and QA processes - Assist with and contribute to basic report writing and technical editing of project deliverables The successful candidate will also be encouraged to assist other DRI Faculty who conduct a broad range of environmental research projects. While this position is based in Reno, NV, remote work may be possible. Qualifications - U.S. Citizenship per sponsor requirement - B.S. degree from an accredited institution in computer science, or a B.S. in geology, hydrology, atmospheric science, or related environmental science/engineering field with demonstrated systems or programming skills - Experience using Linux environments - Experience in developing and maintaining front-end web portals - Ability to program in multiple computing languages (e.g. Python, PHP, Go, JavaScript, HTML) - Ability to maintain cybersecurity and secure coding standards - Strong oral and written communication skills; experience writing and/or contributing to reports - Team player with diverse interests and abilities to adapt and learn new skills Requirements - At least two years of experience using Go for application development - Demonstrated experience installing and maintaining Linux environments - Demonstrated experience using Vue.js - Demonstrated experience developing mobile websites - At least one year of experience using data messaging brokers - At least two years of experience working with environmental data sets - At least one year of experience in using Grafana for automated monitoring - At least one year of experience in integrating scientific computations into a data workflow pipeline - At least two years of demonstrated experience supporting container-based microservices - Demonstrated experience of incorporating the SANS SWAT into your workflow - Demonstrated experience implementing HashiCorp Vault into existing code Benefits - Minimum annual starting salary is $60,206 and is commensurate with experience and education - DRI offers a benefits package that includes health, dental, vision, and life insurance - 19.25% retirement contribution with match - 24 annual leave days - Beginning balance of 30 sick leave days - 12 paid holidays - Educational benefits - Choice of three health insurance plans that can be supplemented with flexible spending accounts or health savings accounts - No state income tax and no social security deduction - This position is eligible for relocation assistance Company Description DRI is a recognized world leader in basic and applied environmental research. Committed to scientific excellence and integrity, DRI faculty, students who work alongside them, and staff have developed scientific knowledge and innovative technologies in research projects around the globe. Since 1959, DRI’s research has advanced scientific knowledge on topics ranging from humans’ impact on the environment to the environment’s impact on humans. DRI’s impactful science and inspiring solutions support Nevada’s diverse economy, provide science-based educational opportunities, and inform policymakers, business leaders, and community members. With campuses in Las Vegas and Reno, DRI serves as the non-profit research arm of the Nevada System of Higher Education.