Senior Applied AI/ML Scientist

🕒 May 4

🤠 Texas – Remote

🤠 Texas – Remote

💵 $190k - $220k / year

⏰ Full Time

🟠 Senior

🤖 Artificial Intelligence

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NobleAI

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2020

🤖 Artificial Intelligence

⚡ Energy

🔬 Science

💰 Seed Round on 2019-03

Artificial Intelligence • Energy • Science

NobleAI is a cutting-edge artificial intelligence company that stands out as one of the hottest AI startups to watch for 2024. The company specializes in developing science-based AI models and offers a cloud-based platform called Noble VIP, designed to accelerate product innovation across various industries. NobleAI's technology solves complex problems related to chemicals, materials, formulations, and energy, delivering high-performing, safe, and sustainable solutions in software. The company's Science-Based AI architecture incorporates scientific principles and constraints, reducing data requirements and protecting data privacy. NobleAI serves diverse sectors, from consumer packaged goods to building materials, by providing tools for insightful predictions, optimized designs, and explainable AI, thereby minimizing trial and error in innovation.

📋 Description

• 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 • Experience in either Natural Language Processing, Computer Vision, uncertainty quantification, or unsupervised learning approaches • Experience with cloud or distributed training frameworks (Azure, AWS, GCP) and MLOps practices • Experience in scientific domains such as chemistry, materials science, or energy • Familiarity with 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 problems

🏖️ 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 • Performance-based bonus plan