The company is looking to solve scientific computing challenges such as seismic imaging and advanced R&D workflows by driving scalable AI solutions using High-Performance Computing (HPC) and Generative AI (GenAI).
Requirements
- Expertise in Machine Learning, Statistical Modeling, and EDA
- Deep knowledge of Deep Learning & Reinforcement Learning
- Proficiency in PyTorch or TensorFlow
- Strong programming skills (Python).
- Familiarity with AI Engineering, DevOps, Agile.
- Hands-on experience with cloud platforms (Azure, AWS, GCP).
- HPC Compute & Storage experience.
Responsibilities
- Design and deploy advanced AI/ML models (Deep Learning, Reinforcement Learning, Multimodal LLMs).
- Convert R&D prototypes into scalable, production-ready solutions
- Build full-stack data science applications for enterprise-scale deployment
- Collaborate with research and engineering teams to deliver impactful GenAI tools
- Ensure software quality through rigorous standards (code reviews, audits)
- Contribute to internal communities of excellence and evaluate new AI opportunities
- Work on production-grade AI/ML models, multimodal LLMs, and full-stack data science applications
Other
- Ph.D. (preferred) or Master’s in STEM
- Applicants must be authorized to work in the United States for any employer without the need for visa sponsorship now or in the future.
- We are unable to sponsor or assume sponsorship of employment visas at this time.
- We do not engage with third-party agencies or sub-vendors for this position.
- Experience collaborating with external research partners
