Senior Applied AI/ML Scientist
New
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NobleAIScience-Based AI
Remote-first with co-working access at Industrious officesFull-TimeSenior
SalaryBase Salary Range $190k - $220k (Depending on experience & Geographic location)
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Job Details
- Required Skills
- PythonKerasMachine LearningPyTorchTensorflowDeep LearningMLOps
Requirements
- Ph.D. in Chemistry, Physics, Biochemistry, Chemical Engineering, or other STEM-related fields
- 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 GNNs, transformers, or embedding techniques, etc.)
- 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
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
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