Senior Applied AI/ML Scientist

This is a fully remote position, open to applicants in Texas.

📋 Description

• Design, develop, and implement machine learning and deep learning models for scientific applications, such as materials discovery, chemical modeling, and process optimization.

• Convert intricate scientific and business challenges into manageable AI/ML frameworks.

• Handle real-world structured and unstructured scientific data, including experimental, simulation, and literature data.

• Create and sustain data pipelines, feature engineering workflows, and model evaluation frameworks.

• Collaborate across functions with scientists, engineers, and product managers to provide production-ready solutions.

• Work closely with Customer Success and client-facing teams to comprehend customer needs, translate requirements into AI/ML solutions, and ensure the successful deployment, adoption, and continuous optimization of models within customer environments.

• Utilize techniques such as supervised and unsupervised learning, generative models, and optimization algorithms.

• Contribute to the integration of models into scalable software platforms and APIs.

• Keep abreast of advancements in AI/ML and pertinent scientific fields; evaluate and incorporate new methods when appropriate.

• Conduct strategic research aimed at enhancing NobleAI’s core technology.

• Clearly communicate findings and model outputs to both technical and non-technical stakeholders.

• Travel periodically to customer sites and participate in industry events.

⛳️ Requirements

• Ph.D. in Geoscience, Geophysics, Production Engineering, Reservoir Engineering, or another quantitative discipline related to Energy.

• Educational background or coursework in Machine Learning.

• Practical experience applying machine learning to real-world scientific and engineering challenges.

• Strong foundation in machine learning, including both classical and deep learning techniques (such as CNNs, transformers, or embedding techniques), with an emphasis on supervised learning.

• Extensive experience in Python and related ML frameworks (e.g., Pytorch, Tensorflow, Keras, sklearn).

• Proven ability to effectively convey complex technical information at a high level.

• Solid grasp of statistical modeling, optimization, and algorithm design.

• Demonstrated capability in deploying models into production environments.

• Experience in Natural Language Processing, Computer Vision, uncertainty quantification, or unsupervised learning approaches.

• Familiarity with cloud or distributed training frameworks (such as Azure, AWS, GCP) and MLOps practices.

• Background in scientific fields such as chemistry, materials science, or energy.

• Knowledge of physics-informed ML, geological/reservoir modeling, and/or production forecasting and flow assurance optimization.

• Experience with generative AI methods (e.g., diffusion models, transformers) applied to scientific challenges.

🏝️ Benefits

• Comprehensive health benefits, including medical, dental, vision, disability, and life insurance.

• Flexible Paid Time Off and generous holiday policies.

• Remote-first work environment with optional co-working access at The Ion for employees based in Houston.

• 401(k) plan with employer matching.

• Equity package.

• Performance-based bonus plan.