Job Listings

Job Summary-Description

WTOC is looking for a full-time meteorologist to join the First Alert Weather Team and cover our weekend newscasts, as well as provide engaging and dynamic weather content during the week across multiple platforms. The Savannah market experiences all types of weather, from snow to hurricanes. This is a role where you can dig in and make an impact in our community through educating and informing our audience.

Duties/Responsibilities include, but are not limited to: 

- Forecast and deliver engaging weather segments for our scheduled weekend newscasts
- Produce and anchor weather segments for WTOC+, our streaming and digital platform
- Create dynamic and watchable social media content for WTOC social platforms
- Update WTOC core platforms (website, mobile apps) often with accurate and relevant forecast information
- Research and pitch live weather segments for your weekday shifts
- Work with the rest of the First Alert Weather team during severe weather and hurricane coverage
- These positions will also be responsible for filling in for other meteorologists during the week

Qualifications/Requirements

- A bachelor's degree in meteorology, broadcast meteorology, or atmospheric sciences
- At least two years of experience in an on-air meteorologist role
- Familiarity with The Weather Company (WSI) Max computer system
- Ability to work as part of an on-air team and part of a weather team

Position Overview

WHIO-TV Dayton, the #1 CBS affiliate in the nation, has an opening for a Weekend Meteorologist to join the Storm Center 7 team. The Miami Valley experiences all four seasons, making forecasting a central part of our coverage. Severe weather is a major focus, and we’re seeking a candidate with strong on-air delivery who can provide breaking weather coverage with a clear, authoritative presence.

The ideal candidate has a digital-first mindset and connects authentically with viewers both on-air and online. In addition to filling in during the week, this Meteorologist will contribute to daily editorial meetings and turn stories.

Please submit your resume, link to demo reel, and examples of digital/social content.

Essential Duties and Responsibilities

• Deliver clear, accurate, and engaging forecasts across multiple daily newscasts
• Provide confident, in-depth coverage during severe and breaking weather events
• Contribute to storm tracking and team coverage during high-impact weather
• Create and publish timely, compelling content for digital, app, streaming, and social platforms
• Produce weather explainers and enterprise content that enhances viewer understanding
• Utilize WSI & Barron weather systems to build visually compelling graphics and presentations
• Collaborate with newsroom leadership to integrate weather coverage across all platforms
• Represent the station at community events and public appearances
• Occasionally turn weather related stories

Minimum Qualifications

• Bachelor’s degree (or higher) in Meteorology or Atmospheric Science
• Strong working knowledge of WSI systems
• Excellent live presentation, ad-libbing, and storytelling skills
• Demonstrated digital-first approach, including social media and app engagement
• Flexible scheduling, including weekends and holidays, is required
• Must have a valid driver's license and clean driving record

Want to be part of a team that keeps real-time weather alerts and observations flowing reliably to hundreds of millions of people? We are looking for a Software Developer II who displays a deep interest in and passion for backend architecture and problem solving; someone who likes to build reliable processing systems and help identify areas of improvement. Reporting directly to the Manager, Data Engineering, this position will be responsible for designing and developing backend software that processes real-time weather data flows — including alerts, observations, and AccuWeather Alerts — powering AccuWeather's consumer and enterprise products. Leveraging relational databases, functional programming, and cloud technologies, you will build new processing services and workflows that improve the reliability and scalability of our real-time weather platforms. You will demonstrate skill in multiple backend technologies, monitor the systems you own, and collaborate with peers and stakeholders in an Agile-based environment, to deliver best of breed real-time processing that caters to a global audience.

We are open to hiring candidates to work from our global headquarters in State College, PA, USA, or remotely.

Key Responsibilities

· Design, develop, test, and maintain backend software processors that ingest, validate, transform, and distribute real-time weather data.

· Collaborate with software engineers, data operations, product managers, and business stakeholders to design and implement processing solutions that support AccuWeather's consumer and enterprise products.

· Develop new processing capabilities and enhance existing processors to support new weather data providers, data formats, business requirements, and product features.

· Design and implement database schemas and supporting SQL objects used by backend processing applications.

· Develop software that is reliable, maintainable, testable, and observable, with a focus on successful deployment and operation in production environments.

· Collaborate with Enterprise Database Administrators and other platform teams to test, deploy, and maintain database changes in production.

· Investigate, troubleshoot, and resolve software defects, production issues, and operational incidents affecting weather data processing systems.

· Write and maintain technical documentation for software components, processing workflows, system changes, and operational procedures.

· Revise and enhance existing software to improve functionality, performance, reliability, and maintainability.

· Stay current with emerging technologies and software development best practices, applying them where appropriate to improve team capabilities and processing systems.

· Contribute to the continuous improvement of team workflows, quality assurance practices, documentation, and development processes.

Qualifications

 Required Qualifications:

- Bachelor's or Masters degree in Computer Science, Software Engineering, Information Technology, or a related field.

- 3+ years of experience designing and developing backend services.

- Experience developing software using Scala or Java, with exposure to functional programming concepts.

- Experience developing and deploying applications in cloud environments such as Microsoft Azure, AWS, or Google Cloud.

- Experience working with relational databases, including database schema design and SQL.

- Experience processing structured and semi-structured data formats such as XML and JSON, working with RESTful APIs, and using regular expressions.

· Preferred Qualifications:

- Experience with event-driven, distributed, or message-based systems.

- Experience working with weather, environmental, geospatial, or other Earth science data.

- Experience with Microsoft SQL Server.

- Experience developing applications on Microsoft Azure.

- Ability to manage multiple priorities in a fast-paced development environment.

· Skills & Competencies

- Excellent verbal and written communication skills.

- Ability to collaborate effectively as both a member of a team and an independent contributor.

- Strong analytical and problem-solving skills, with the ability to define problems, collect and analyze data, establish facts, and draw sound conclusions.

- Ability to communicate complex technical concepts and data processing workflows to both technical and non-technical audiences.

- Strong troubleshooting and debugging skills, with the ability to investigate and resolve complex production issues.

Want to be part of a team that keeps real-time weather alerts and observations flowing reliably to hundreds of millions of people? We are looking for a Software Developer III who displays a deep interest in and passion for backend architecture, mentorship, and problem solving; someone who likes to own real-time systems end to end and help other engineers grow. Reporting directly to the Manager, Data Engineering, this position will be responsible for leading the design and development of backend software that processes real-time weather data flows — including alerts, observations, and AccuWeather Alerts — powering AccuWeather's consumer and enterprise products. Serving as a software development expert, you will build new processing services and workflows to improve the reliability and scalability of our real-time weather platforms, while owning monitoring and data quality standards for the systems you lead. You will demonstrate expert skill across relational databases, functional programming, and cloud technologies, mentor less experienced developers, and collaborate with peers and stakeholders in an Agile-based environment, to deliver best of breed real-time infrastructure that caters to a global audience.

We are open to hiring candidates to work from our global headquarters in State College, PA, USA, or remotely.

Key Responsibilities

· Lead the design, development, testing, and maintenance of complex backend software processors that ingest, validate, transform, and distribute real-time weather data.

· Own end-to-end backend data flows from source system through validation to production database, including monitoring, operational efficiency, and incident response.

· Design and implement new processing capabilities and enhance existing processors to support new weather data providers, data formats, business requirements, and product features.

· Apply advanced backend and software development skills to build data processing software that's easily tested, deployed, and monitored.

· Own design and implementation of database schemas and supporting SQL objects used by backend processing applications.

· Define the reliability, performance, and scalability bar for backend processing software in your domain, and hold new development to it

· Drive technical alignment across software engineers, data operations, product managers, and business stakeholders on the approach for complex processing solutions, resolving disagreements on technical direction.

· Investigate, troubleshoot, and resolve complex software defects, production issues, and operational incidents affecting weather data processing systems.

· Conduct code reviews and provide technical guidance to other software developers through collaboration, knowledge sharing, and engineering best practices.

· Mentor less experienced Software Developers in relational schema design and backend data processing practices.

· Define documentation standards for software components, processing workflows, and operational procedures, ensuring the team's collective knowledge stays current and usable without you in the room.

· Evaluate emerging technologies and development practices for team-wide adoption, making the call on what gets brought into the processing platform and what doesn't.

· Contribute to technical planning and the continuous improvement of development processes, quality assurance practices, and team workflows.

· Required Qualifications:

- Bachelor's or Masters degree in Computer Science, Software Engineering, Information Technology, or a related field.

- 5+ years of experience designing and developing backend software or distributed systems.

- Advanced experience developing software using Scala or Java, with experience applying functional programming concepts.

- Expertise in developing and deploying applications in cloud environments such as Microsoft Azure, AWS, or Google Cloud.

- Deep experience with relational database architecture, including schema design, SQL, and performance optimization at scale.

- Proven experience architecting solutions for structured and semi-structured data formats such as XML and JSON, RESTful APIs, and regular expressions, across multiple external data providers.

- Experience leading software design discussions, code reviews, and technical decision-making.

· Preferred Qualifications:

- Experience designing or developing event-driven, distributed, or message-based systems.

- Experience working with weather, environmental, geospatial, or other Earth science data.

- Experience integrating data from multiple external providers or APIs.

- Proficiency with Microsoft SQL Server.

- Proficiency developing applications on Microsoft Azure.

- Experience providing technical guidance to other software developers.

- Ability to manage multiple priorities in a fast-paced development environment.

· Skills & Competencies

- Communicates at a high level across verbal and written communication with internal and external teams; leading training and informational sessions.

- Proficiency and demonstrated experience in communicating technical concepts, software designs, and data processing workflows to both technical and non-technical audiences.

- Excellent analytical and problem-solving skills, with the ability to evaluate complex technical challenges and develop effective software solutions.

- Strong troubleshooting and debugging skills, including the ability to investigate and resolve complex production issues.

- Ability to provide technical guidance and share knowledge with other team members.

Position Description

The Cooperative Institute for Severe and High-Impact Weather Research and Operations (CIWRO) at The University of Oklahoma is currently seeking a Research Associate or Research Scientist to advance precipitation estimation science within the Multi-Radar Multi-Sensor (MRMS) system through the use of
artificial intelligence (AI) and machine learning (ML). The MRMS system consists of fully-automated algorithms that quickly and intelligently integrate data streams from multiple radars, surface and upper air observations, lightning detection systems, satellite observations, and forecast models. This collaborative
work with NOAA’s National Severe Storms Laboratory (NSSL) presents an exciting opportunity to shape the future of weather radar applications and contribute to cutting-edge research and development of quantitative precipitation estimations (QPEs) in areas and regimes that struggle with creating accurate QPEs. This position will help with the development and testing of AI/ML techniques within MRMS system to improve QPEs for core partners and end users.

Job Responsibilities

▪ Contribute to the design, implementation, and testing of AI/ML algorithms designed to help with improving the coverage and accuracy of QPEs across all MRMS domains
▪ Acquire the knowledge and skills necessary to support and update the MRMS system codes and techniques ▪ Work with an interdisciplinary team of scientists and engineers to design, develop, and implement QPE-based enhancements and improvements to the MRMS system
▪ Attend meetings and professional conferences to present research results and interact with collaborators
▪ Provide support for regular summaries of work accomplished through reports and/or peerreviewed publications as needed
▪ (Research Scientist only) Lead efforts with advancing the science and integration of AI/ML
precipitation estimations into the MRMS system 

Qualifications

We are looking for candidates who possess:
▪ Ph.D. (Research Scientist) or M.S. (Research Associate) in a STEM field related to this position
▪ Strong knowledge of artificial intelligence and machine learning
▪ Proficiency in high-level programming languages
▪ Strong ability to research, troubleshoot, and independently resolve unfamiliar problems
▪ Excellent oral and written communication skills with an ability to work both independently and cooperatively with others

It is preferred that applicants demonstrate expertise within one or more of the following areas (an applicant need not demonstrate experience in all areas to be considered): precipitation estimation, atmospheric processes/variables, and/or radar data/variables. Preferred programming proficiency should include C++, Perl, and/or Python as well as a preferred experience with working in Linux-based environments. Proficiency in AWS or other Cloud computing platforms are desired but not required
 

About the Position

The Cooperative Institute for Satellite Earth System Studies (CISESS) at the University of Maryland seeks a scientist with interest in remote sensing of precipitation and precipitation-related phenomena.

The group works across the passive microwave, infrared, and visible observation of the troposphere, developing retrievals of precipitation and cloud properties, characterizing their uncertainty, and validating against ground-based and spaceborne references. The successful candidate will be expected to pursue open scientific questions while supporting current activities the group is involved in.

Active research directions include machine learning approaches to precipitation rate and type retrieval, the quantification of retrieval uncertainty and the estimation of quantities that satellites do not observe directly. The balance among these will be shaped by the interests and strengths of the person hired.

The successful candidate will work within a team that collaborates closely with NOAA, NASA, and partner institutions.

This position is initially for one year, with the possibility of renewal contingent upon performance and funding availability.

Primary Responsibilities

• Develop, train, and evaluate models for geophysical retrieval from satellite observations
• Construct and maintain collocated datasets spanning multiple satellite sensors and ground-based references
• Validate retrievals against ground and spaceborne sensors, and characterize retrieval uncertainty

Qualifications

Required

• Ph.D. in Atmospheric Science, Hydrology, Environmental science, or a closely related field; or an M.S. or higher degree in Computer Science together with demonstrated experience applying machine learning to scientific or otherwise applied problems
• Strong programming ability, particularly in Python
• Practical experience training machine learning models, for example in PyTorch or TensorFlow
• A working understanding of satellite observation of the troposphere across the passive microwave, infrared, and visible spectrum
• Ability to work within an interdisciplinary team and to communicate results clearly in writing and in person
• U.S. Citizenship or Green Card holder (or applicant from a non-designated country due to restrictions at Government facilities)

Position Description

Directs, plans, coordinates and supervises the operations and activities of a specialized unit or small department; develops and implements policies and procedures, administers the budget, organizes tasks and sets priorities.  Serves as liaison with university personnel and community at large.  Works under general supervision with broad latitude for initiative and independent judgement.

Major/Essential Functions

• Provide leadership and strategic planning for the combined West Texas Mesonet and TxDOT roadside weather station network, including long-term vision, expansion priorities, sustainability, operational goals, and performance metrics.
• Administer all aspects of the TxDOT roadside weather observation project, including project planning, installation and maintenance activities, contractor and consultant oversight, compliance, sponsor reporting, timelines, and performance accountability.
• Manage and strengthen relationships with TxDOT, federal and state agencies, the National Weather Service, network users, sponsors, contractors, consulting engineers, landowners, and other external stakeholders.
• Oversee the development, implementation, evaluation, and continuous improvement of automated quality assurance and quality control processes, targeted data products and streams, and web-based tools serving network users and the public.
• Lead and supervise technical staff and field teams responsible for weather station installation, maintenance, calibration, real-time data transmission, troubleshooting, and network reliability.
• Establish operational priorities, assign responsibilities, evaluate performance, support employee development, and ensure that personnel and resources are aligned with program objectives.
• Oversee budgets, project timelines, contracts, operational resources, and sponsor requirements associated with the West Texas Mesonet and TxDOT roadside weather network.
• Lead proposal development and external funding efforts to support network operations, research, infrastructure improvements, expansion, and related initiatives.
• Ensure the operational reliability and continuity of the observing network, including coordination with information technology and cloud architecture personnel regarding data systems, hybrid infrastructure, cybersecurity, data storage, and product delivery.
• Progressively assume full operational leadership of the West Texas Mesonet, including the integrated TxDOT roadside weather stations, during and following the planned leadership transition period.
• Drive to Mesonet sites to conduct or oversee field installations, maintenance visits, and site assessments as needed for quality control, troubleshooting, stakeholder relationship management, and system performance evaluation.
• Develop, implement, and maintain policies, procedures, standards, documentation, and training related to network operations, workplace and field safety, data quality, equipment maintenance, and regulatory or sponsor compliance.
• Evaluate current and emerging technologies related to meteorological instrumentation, communications systems, data acquisition, cloud computing, automated quality control, and public-facing data delivery.
• Prepare and present technical, operational, and programmatic reports to NWI leadership, sponsors, agency representatives, and other stakeholders.
  Perform other duties as assigned in support of the mission and strategic priorities of the National Wind Institute.

Knowledge, Skills and Abilities

• Master’s degree in Meteorology, Atmospheric Science, Engineering, Computer Science, or a closely related field.
• At least six years of progressively responsible management or leadership experience in weather observation network operations, environmental monitoring, research infrastructure, engineering, or a closely related area.
• Demonstrated experience with the installation, maintenance, calibration, and operation of mesonet, roadside weather, environmental monitoring, or comparable observation systems.
• Experience leading technical personnel, supervising field teams, managing contractors, or coordinating complex, multisite operations.
• Demonstrated ability to manage budgets, schedules, operational priorities, deliverables, and external sponsor requirements.
• Strong organizational, project management, analytical, and problem-solving skills.
• Exceptional written and verbal communication skills, including the ability to communicate effectively with technical and nontechnical audiences.
• Demonstrated ability to establish and maintain productive relationships with government agencies, sponsors, contractors, researchers, landowners, and other stakeholders.
• Ability to drive extensively, work extended hours in the field when necessary, and perform work in harsh or variable outdoor environments.
• This position requires eligibility to drive TTU vehicles, including a valid U.S. driver license and two years of driving experience. 

ESSIC is seeking a postdoctoral researcher with strong interest and experience in passive microwave remote sensing and modeling. The successful candidate will contribute to relevant projects for the Mesoscale Atmospheric Processes Laboratory (code 612) at NASA’s Goddard Space Flight Center. Responsibilities may include:

• Satellite precipitation retrieval development and validation
• Microwave land surface emissivity model development, testing, and validation
• Optimization of precipitation retrievals for land surfaces and snow cases
• Radiometer constellation calibration     
• Contributions to peer reviewed research publications, conference orals and posters, white papers, and relevant agency and international working groups

Qualifications

• Ph.D. in Atmospheric Science, Computer Science, Physics, Environmental Science, Engineering or a related field.
• Experience with radiative transfer (microwave), satellite data assimilation and retrieval techniques.
• Proficiency in Python programming language and experience/exposure to other programming languages (Fortran)
• Prior experience in data visualization using Python tools.
• Good understanding of Unix/Linux OS and scripting.
• Excellent skills in manipulating large volumes of data; familiarity with common data formats, such as netCDF and HDF5.
• Prior knowledge and hands-on experience in machine learning (ML) algorithm implementation is highly desirable.
• Demonstrated ability to work independently and collaboratively.
• Excellent oral and written communication skills in English.
• U.S. Citizenship or Green Card holder or applicant from a non-designated country due to restrictions at Government facilities

To Apply: Interested candidates should send a CV and a cover letter to anegri@umd.edu explaining how your qualifications meet the posted requirements.

Who Are We

A strategic and trusted insurance partner, Berkshire Hathaway Specialty Insurance (BHSI), provides a broad range of commercial property, casualty and specialty insurance coverages and outstanding service to customers and brokers around the world. Part of Berkshire Hathaway’s insurance operations, we bring our solutions to market with our stellar brand name, top-rated balance sheet, and the expertise of our global team of professionals, who exude excellent capabilities and strong character.

We are a values-based organization where respect, integrity, excellence, collaboration, and passion define who we are and how we do business.  We value diversity of backgrounds, experience, and perspectives and strive to foster an inclusive environment that enables all our team members to bring their best selves to work.  We are one team committed to building a culture where every teammate has the opportunity to contribute and be recognized. Want to be part of the team building the finest property, casualty and specialty lines insurance company in the world?

Job Opportunity

BHSI is seeking an analytical and technically minded, passionate Engineer or Senior Engineer with expertise in wind vulnerability assessment and risk modeling to join our Catastrophe Engineering and Analytics (CAT E&A) team. CAT E&A is an innovative and versatile technical team conducting catastrophe risk evaluations, developing independent solutions and models, and providing quantitative insured loss metrics that inform underwriting decisions.

The successful candidate will join the team responsible for conducting research and developing solutions for catastrophe risk assessment and should have strong research and development experience with catastrophe models or other risk assessment tools. Primary duties will involve research and development of internal views for hurricane wind risks. Contributions include undertaking wind and other perils risk evaluation using vendor models and internal models, assisting with individual underwriting decisions, and performing risk accumulation analyses.

We welcome applicants at both the Engineer and Senior Engineer levels.  Title and responsibilities will be commensurate with experience, education, and qualifications.  The role can be based in our San Ramon, CA, Boston, MA, or Atlanta, GA office.

Duties and Responsibilities

• Conduct research on wind vulnerability of buildings and other structures for the develop
• ent of internal catastrophe models.
• Conduct global wind risk evaluation using vendor models and internal models.
• Explain wind risk modeling concepts and results to underwriters to inform risk underwriting decisions.
• Conduct periodic training for underwriters.
• Work with our team to incorporate BHSI’s view of risk into catastrophe modeling tools and platform.
• Contribute to all aspects of natural catastrophe analytics.

Qualifications, Skills, and Experience

• PhD degree in Civil or Wind Engineering, or related discipline
• Strong understanding of wind engineering and design of buildings and other structures for wind. Previous catastrophe modeling and wind vulnerability assessment experience is a plus
• Knowledge of probability and statistics.
• Strong programming skills (e.g., R, Python, MATLAB, SQL)
• Proficiency in geospatial analytics
• Strong written and verbal communication skills

• Highly motivated, detail oriented, and team player

  
   

Weather on the Way is an iOS and CarPlay road conditions app, that shows weather for points along a driving route at the hour you will be there, so drivers can pick the best time to leave to avoid the storm. We are starting a youtube show that helps make this decision, and we are looking for a person to run and present it.

What You Will Do

- Monitor NWS's Storm Prediction Center and other NWS products against the main Interstate travel corridors and flag when there is a potential for significant impact to travel.
- Deliver a storm episode within 6-12 hours of the storm conditions being apparent, so it's live 24-48h before people leave, to allow them to plan their trip. Record on your own equipment, we will handle editing, thumbnails and titles and posting.
- On quiet weeks with no significant storms, record more general explainer videos, not necessarily tied to current conditions (for example "How to time the I-70 drive in a winter")
- Special episodes for travel around holidays: Thanksgiving and Christmas.
- Lighter schedule in spring and summer.
- You can use episodes in your portfolio, we may cut clips for social and app marketing

‍Who We Are Looking For

- A Meteorology or Atmospheric Science degree (even if not yet finished) or broadcast forecasting experience. You can fluently read WPC and NWS products, explain the storm timing, typical weather conditions and deliver engaging and dynamic video.  
- Comfortable unscripted on camera, with a map. You have broadcast experience or a professional or personal YouTube channel to showcase.
- Available on short notice on weekdays and sometimes weekends in winter.
- A recording setup with clean audio and video. An ability to screen-record an iPhone or iPad.
- Knowledge of US winter weather, especially around its effect on road travel, road closures and safety.

Nice to have: editing skills, existing audience, regular experience of riding motorcycles or towing.

How to Apply

Send a three minute video where you make a call on one travel corridor this week. Tell us when would you leave and why. You can use our app ("Weather on the Way" on Apple App Store) or other resources. Add a link to anything you have done on air or online and short description on your setup, availability and why you are a perfect candidate for this role.

Applications close October 9th 2026. Shortlisted candidates do one paid test episode for a full rate in October and decide by October 30th.

Send to join@weatherontheway.app

‍