MS, PhD, Atmospheric Science, Data Science, Machine Learning Engineer

DeVine Consulting, Inc.; Silver Spring (MD); Hybrid; USD 120,000 - 150,000; Full time

Benefits offered by this job

Medical

Dental

Vision

401K

Life Insurance

Paid Holidays

Paid Sick Leave

Paid Vacation

Job summary

DeVine Consulting, Inc. is seeking a Machine Learning Engineer in Silver Spring, MD, to advance weather prediction models for a government client. The role requires a graduate degree and 4+ years of ML experience in weather applications. Candidate work may include remote arrangements, with US citizenship required.

The team focuses on data modeling, remote sensing, and ML to improve forecast accuracy and sensor-based information delivery for diverse government initiatives.

Qualifications

• Graduate degree in atmospheric science, meteorology, computer science, or a related field.
• 4+ years of experience developing ML models for weather applications.
• Strong ML engineering fundamentals: training, validation, evaluation, and documentation.
• Experience with cloud-based computing environments.
• Handling large meteorological datasets and formats (GRIB, NetCDF, ZARR).
• Proficiency with PyTorch and TensorFlow.
• Familiarity with cloud platforms (AWS, GCP, Azure).

Responsibilities

• Conduct innovative research at the intersection of weather prediction and machine learning, including satellite observations.
• Develop, verify, and document forecast improvements for measurable value.
• Partner with engineering and product teams to deploy research into scalable systems.
• Communicate results through reviews, discussions, and publications.
• Contribute to overall forecast and product performance improvements.

Skills

ML for weather

Model training/validation

Communication skills

Cloud computing

Education

Graduate degree

Tools

PyTorch

TensorFlow

AWS

GCP

Azure

GRIB

NetCDF

ZARR

Job description

DeVine provides technical and scientific support to government clients in Oceanography & Atmospheric Science among other technical disciplines.

Our company is looking for a Machine Learning Engineer, with experience in Atmospheric Science and Machine Learning (ML), to join DeVine in a full time capacity. This position will be supporting a government customer, hence only US Citizens may be considered for hire. Candidates who meet/exceed every requirement may be considered for remote work.

DeVine contributes to projects in data modeling, remote sensing & machine learning. We collaborate with our clients in scientific analysis of the Earth’s atmosphere & ocean and land surfaces, as well as astronomy and astrometry. We help our clients test and operate space-based, air-based, subsurface, and land and ocean surface-based sensors.

The successful hire will contribute to improvements in weather forecast performance to deliver more accurate weather insights to our customers.

If your experience is relevant to the requirements below, and you’d enjoy working in Silver Spring, MD.

Duties:

• Conduct innovative research at the intersection of weather prediction and machine learning, including approaches that leverage observations from satellite constellation
• Develop, verify, and document forecast improvements that provide measurable value to customers
• Partner with engineering and product teams to transition research advances into scalable, operational systems
• Communicate results through internal reviews, customer discussions, and, where appropriate, conferences or publications
• Contribute broadly to improving forecastsand overall product performance

Required experience and credentials:

• Graduate degree in atmospheric science, meteorology, computer science, or a related field
• 4+ years of experience developing ML models for weather applications
• Strong ML engineering fundamentals, including model training, validation, evaluation, and documentation
• Training, running, and verifying AI-based weather prediction models
• Working in cloud-based computing environments
• Handling large meteorological datasets and common data formats at scale
• Modern deep learning frameworks (e.g., PyTorch or TensorFlow)
• Large geophysical dataset formats (GRIB, NetCDF, ZARR)
• Proficiency with deep learning frameworks (e.g., PyTorch, TensorFlow)
• Familiarity with cloud-based computing environments (AWS, GCP, Azure)
• Strong written and verbal communication skills
• Ability to manage multiple projects and balance competing priorities

DeVine provides technical and scientific support to government clients in Oceanography & Atmospheric Science among other technical disciplines.

Our company is looking for a Machine Learning Engineer, with experience in Atmospheric Science and Machine Learning (ML), to join DeVine in a full time capacity. This position will be supporting a government customer, hence only US Citizens may be considered for hire. Candidates who meet/exceed every requirement may be considered for remote work.

DeVine contributes to projects in data modeling, remote sensing & machine learning. We collaborate with our clients in scientific analysis of the Earth’s atmosphere & ocean and land surfaces, as well as astronomy and astrometry. We help our clients test and operate space-based, air-based, subsurface, and land and ocean surface-based sensors.

The successful hire will contribute to improvements in weather forecast performance to deliver more accurate weather insights to our customers.

If your experience is relevant to the requirements below, and you’d enjoy working in Silver Spring, MD.

Duties:

• Conduct innovative research at the intersection of weather prediction and machine learning, including approaches that leverage observations from satellite constellation
• Develop, verify, and document forecast improvements that provide measurable value to customers
• Partner with engineering and product teams to transition research advances into scalable, operational systems
• Communicate results through internal reviews, customer discussions, and, where appropriate, conferences or publications
• Contribute broadly to improving forecastsand overall product performance

Required experience and credentials:

• Graduate degree in atmospheric science, meteorology, computer science, or a related field
• 4+ years of experience developing ML models for weather applications
• Strong ML engineering fundamentals, including model training, validation, evaluation, and documentation
• Training, running, and verifying AI-based weather prediction models
• Working in cloud-based computing environments
• Handling large meteorological datasets and common data formats at scale
• Modern deep learning frameworks (e.g., PyTorch or TensorFlow)
• Large geophysical dataset formats (GRIB, NetCDF, ZARR)
• Proficiency with deep learning frameworks (e.g., PyTorch, TensorFlow)
• Familiarity with cloud-based computing environments (AWS, GCP, Azure)
• Strong written and verbal communication skills
• Ability to manage multiple projects and balance competing priorities

About the position:

• Position Type: Full-time, Must be U.S. Citizen
• Location: Silver Spring, MD
• Benefits: Medical, Dental, Vision, 401K, Life Insurance, Paid Holidays, Paid Sick Leave and Paid Vacation
• Compensation: $120K to $150K per year salary range DOE and skills

Equal Opportunity Employer We are committed to a policy of assuring that all applicants for employment are recruited, hired and assigned on the basis of qualifications and merit without discrimination based on any protected classification, including, but not limited to, race, color, religion, sex, sexual orientation, national origin, veteran status, age, disability, handicap, marital status, or any other characteristic protected by applicable laws.