Senior Applied AI/ML Scientist

NobleAI is seeking an Applied AI/ML Scientist to develop and deploy machine learning models for complex scientific and industrial challenges in the energy sector, focusing on optimizing processes and driving breakthroughs.

Location: Remote (US)

Salary: $190k - $220k/yr

Responsibilities

• Design, develop, and deploy machine learning and deep learning models for scientific applications (e.g., materials discovery, chemical modeling, process optimization)
• Translate complex scientific and business problems into tractable AI/ML frameworks
• Work with real-world structured and unstructured scientific data (e.g., experimental, simulation, and literature data)
• Build and maintain data pipelines, feature engineering workflows, and model evaluation frameworks
• Collaborate cross-functionally with scientists, engineers, and product managers to deliver production-ready solutions
• Partner closely with Customer Success and client-facing teams to understand customer needs, translate requirements into AI/ML solutions, and support the successful deployment, adoption, and ongoing optimization of models in customer environments
• Apply techniques such as supervised/unsupervised learning, generative models, and optimization algorithms
• Contribute to the integration of models into scalable software platforms and APIs
• Stay current with advancements in AI/ML and relevant scientific domains; evaluate and apply new methods where appropriate
• Perform strategic research oriented towards improving NobleAI’s core technology
• Communicate findings and model outputs clearly to both technical and non-technical stakeholders
• Periodic travel to customer sites and attend industry events

Requirements

• Ph.D. in Geoscience, Geophysics, Production Engineering, Reservoir Engineering, or other Energy-related quantitative discipline
• Degree or coursework in Machine Learning
• Hands-on experience applying machine learning to real-world problems in science and engineering
• Strong background in machine learning: classical and deep learning techniques (examples may include CNNs, transformers, or embedding techniques, etc.), focus on supervised learning
• Strong experience in Python and associated ML frameworks (Pytorch, Tensorflow, Keras, sklearn, etc.)
• Demonstrated ability to effectively communicate complex technical details at a high level
• Solid understanding of statistical modeling, optimization, and algorithm design
• Proven ability to deploy models into production environments

Benefits

• Top-tier health benefits coverage, including medical, dental, vision, disability and life insurance
• Flexible Paid Time Off & generous Holidays
• Remote-first with optional co-working access at The Ion for our Houston-based employees
• 401(k) with employer match
• Equity package
• Base Salary Range $190k - $220k (Depending on experience & Geographic location)
• Performance-based bonus plan

Additional Information

• Originally posted on Himalayas