U

UniversalAGI

Deploys autonomous AI agents for enterprises

Geophysics + Seismic Researcher

AI ResearchConfirmed live in the last 24 hours
Full-timeSan Francisco, CA, USA

About the Job

Requirements

  • A PhD in Geophysics or a related engineering discipline, with extensive experience in seismic processing and interpretation.
  • A strong artificial intelligence background, including models for physical systems such as Fourier Neural Operators and Transolver.
  • Experience in statistics and uncertainty quantification; familiarity with seismic interpretation, full waveform inversion, and geologic modeling.
  • Proficiency in Python and machine learning frameworks, with the ability to independently own workflows from synthetic data generation through model training.
  • Published research in top-tier geophysics or machine learning venues such as Geophysics, JGR, NeurIPS, ICML, or ICLR is a bonus qualification.
  • Experience with generative modeling for geology, such as three-dimensional subsurface realizations, and geostatistics such as Gaussian processes and kriging is a bonus qualification.
  • A background in adjacent physical-systems or earth-science modeling domains, such as oceanography, geospatial science, or other geophysical inversion problems, is a bonus qualification.
  • Large-scale distributed training experience with multi-GPU or multi-node setups is a bonus qualification.
  • Experience at high-growth artificial intelligence startups from Seed to Series C or leading research labs is a bonus qualification.
  • Comfort across Python, Julia, and modern machine-learning tooling, and open-source contributions to geophysics or machine-learning codebases, are bonus qualifications.
  • Forward-deployed experience working directly with customers to solve their hardest problems is a bonus qualification.
  • Ability to communicate complex technical concepts to customers and the team.
  • Comfort with ambiguity, rapid change, and wearing multiple hats.
  • Collaborative approach with low ego and high accountability.

Responsibilities

  • Develop novel artificial intelligence architectures for subsurface physics, including transformer-based and generative neural operators for seismic modeling, inversion, and geologic interpretation.
  • Own research workflows end to end, including synthetic data generation using procedural subsurface and geology models, forward simulation, model training, validation, and deployment.
  • Apply statistics and uncertainty quantification, including Bayesian and generative modeling, to represent multiple plausible subsurface realizations rather than a single deterministic answer.
  • Work hands-on with seismic processing, full waveform inversion, and geologic modeling, and help connect velocity and density models to petrophysical properties such as porosity, permeability, and lithology relevant to reservoir and geologic decisions.
  • Run large-scale experiments on seismic and geologic datasets, iterate on model performance, and help drive the research roadmap based on results.
  • Collaborate directly with domain experts and customers in energy, subsurface characterization, and related industries to understand workflows, pain points, and validation criteria.
  • Publish and present research results internally and externally on artificial intelligence for subsurface physics.
  • Take research from idea to production-ready model in weeks and see the work deployed to real customers.

About the Company

UniversalAGI

Deploys autonomous AI agents for enterprises

UniversalAGI operates as a forward-deployed AI lab that builds and deploys autonomous AI agents for enterprises and government organizations. Its platform provides the infrastructure, talent, and security needed to turn business concepts into production-ready AI applications that work with an organization’s most sensitive data. The system includes a suite of agents and automation tools and can often convert a concept into a working app in under an hour using natural language inputs, with emphasis on security, scale, and adaptability. The company differentiates itself by embedding expert AI teams with clients to deliver mission-critical, production-grade AI—often in secure or air-gapped environments for sensitive national data—and by combining no-code capabilities with enterprise-grade AI transformations. UniversalAGI aims to enable rapid, secure AI adoption across both private and public sectors, delivering autonomous, reliable AI solutions for complex, data-sensitive challenges.

Company size
11-50
Company stage
Not listed
Total funding
Not listed
Headquarters
San Francisco, CA
Founded
Not listed

Recently Posted Jobs

Explore more opportunities at UniversalAGI

See more jobs