Senior Seismic ML Scientist, PyTorch

EPAM Systems; United States; Remote; USD 120,000 - 180,000; Full time

Job summary

EPAM Systems in the United States is seeking a Senior Data Scientist with PyTorch expertise to join a cross-disciplinary team of geoscientists and ML engineers working on seismic data. You will translate technical and business needs into reliable deep learning solutions, with emphasis on denoising, segmentation, and structural interpretation using 2D/3D seismic imagery.

The role involves improving existing seismic ML solutions, retraining models, and exploring new use cases across exploration

Qualifications

• 2–4 years of experience in ML/DS roles with deep learning on image or volumetric data
• Knowledge of computer vision including segmentation and feature extraction
• Proficiency in PyTorch for building and evaluating models
• Experience with 2D/3D seismic data and architectures like U-Net and CNNs
• Strong Python skills
• English proficiency at B2 level or higher
• Familiarity with MLOps tools and cloud services

Responsibilities

• Apply and develop deep learning models for denoising and structural interpretation of seismic data
• Improve the accuracy, robustness and performance of existing seismic ML solutions
• Develop models for structural interpretation tasks such as fault detection, horizon tracking and seismic facies classification
• Collaborate with Geoscientists and Geophysicists to validate model outputs against expert interpretation and well data
• Identify, evaluate and propose new business use cases for computer vision and deep learning across workflows
• Stay up to date with research in computer vision and seismic ML
• Follow good ML engineering practices for reproducible experiments and model deployment

Skills

PyTorch

Python

Deep learning

Computer Vision

Seismic data

Tools

MLflow

Docker

Cloud services (Azure/AWS/GCP)

Job description

EPAM Systems in the United States is seeking a Senior Data Scientist with PyTorch expertise to join a cross-disciplinary team of geoscientists and ML engineers working on seismic data. You will translate technical and business needs into reliable deep learning solutions, with emphasis on denoising, segmentation, and structural interpretation using 2D/3D seismic imagery.

The role involves improving existing seismic ML solutions, retraining models, and exploring new use cases across exploration