Develop and implement verification methods for weather forecast tools, collaborating with NOAA NCEP centers, NWS offices, and academic partners.
Apply AI and machine learning, including neural networks, to improve meteorological forecasting and process complex datasets like ensemble model output.
Build web applications and training materials to transition new tools and techniques for operational use by meteorologists.
Advance object-oriented verification techniques for high-resolution NWP models.
Serve as technical liaison for QPF verification topics and support the METplus software framework.
Develop automated verification workflows for convective-scale models and AI/ML forecast systems.
Lynker is an employee-owned federal government contractor specializing in professional, scientific, and technical services. The company fosters a team-oriented, collaborative culture with a focus on employee growth and innovation.
Assist in development, evaluation, testing, and transition of JEDI-based developments for atmospheric data assimilation.
Transition observation modeling, quality control, and bias correction to the JEDI infrastructure.
Support and develop atmospheric model interfaces within the JEDI framework.
Lynker is an employee-owned professional services firm specializing in scientific and technical services for government clients. The company fosters a collaborative, team-oriented culture with a focus on putting the right people in the right place to solve complex challenges.
Research, develop, and maintain production-quality machine learning code for materials science problems.
Collaborate with product, engineering, and research teams to transform AI ideas into scalable, customer-ready capabilities.
Evaluate and improve model performance, reliability, and interpretability across the full feature lifecycle.
The company develops materials-aware AI capabilities for scientific and industrial applications. They value autonomy, collaboration, and continuous learning in a remote environment.
Conduct applied research in machine learning, focusing on time-series forecasting and generative AI for supply chain planning.
Design and run experiments using real-world and benchmark datasets, evaluating models against strong baselines.
Collaborate with researchers and engineers to build prototypes and assess product potential for real-world applications.
Kinaxis is a global leader in modern supply chain orchestration, powering complex global supply chains with an AI-infused platform. We are a global team of over 2,000 employees with a best-in-class HQ in Ottawa, Canada, and we take our culture seriously.
Design and implement machine learning algorithms and statistical models to analyze large, complex datasets and extract actionable insights.
Develop and maintain data pipelines, predictive models, and advanced visualization tools to support client services and product enhancement.
Collaborate with cross-functional teams to translate business requirements into analytical frameworks and mentor junior data scientists.
Cotality is a property intelligence company that provides data, analytics, and technology solutions to drive the real estate economy. With 5,000 employees globally, Cotality fosters a diverse and inclusive culture that encourages innovation, bold thinking, and collaboration.
Build the component layer around our layout synthesis engine, including API contracts, services, and evaluation gates.
Turn model retraining into a one-command job with built-in benchmarks and readable results for the whole team.
Own latency and cost budgets for learned capabilities and partner with infrastructure engineers on MLOps and deployment.
Higharc is a VC-backed startup that is changing how new homes are designed and built using spatial AI and generative floor plan technology. The company is fully remote, has raised over $175M, and values flexibility, collaboration, and asynchronous deep work.
Lead design and implementation of data science solutions for cybersecurity operations.
Develop data models, machine learning algorithms, and automation to enhance threat detection and analytics.
Collaborate with SOC, threat hunters, and engineers to transform telemetry into actionable defense.
True Zero Technologies is a veteran-owned small business that empowers people and technology to drive quality outcomes. Named a Best Place to Work in 2023 and 2025, it fosters a collaborative, innovative culture with sustained growth on the Inc. 5000 list.
Lead data science work on grant-funded projects focused on teaching, coaching, and AI in education.
Apply statistical, machine learning, NLP, and generative AI methods to develop automated measures and workflows.
Collaborate with researchers and external partners to integrate research insights into educational tools and deliverables.
Harvard University is a world-renowned institution committed to advancing education and research. The Harvard Graduate School of Education fosters a diverse, collaborative community focused on maximizing impact in the field of education.