At NobleAI, we believe that material science and chemistry are key to building a sustainable world and that artificial intelligence is essential to unlock this potential. NobleAI uses our innovative and unique Science-Based AI technology to transform current materials development strategies. We deliver actionable insights and reliable predictions to accelerate development and reduce costs of developing new chemicals, materials, and formulations.

We see ourselves as a team of individuals striving to be excellent in everything we do. We value people who are thoughtful and respectful, while relentlessly focused on building and delivering products which help delight our customers and empower engineers and researchers to bring better products and services into the world faster.

As a Research Scientist, this role is responsible for carrying out research and developing mathematical algorithms which deliver value to our R&D customers. As a Research Scientist, you will work on customer or industry-specific problem domains, and data sets, leveraging Noble Artificial Intelligence Platform features and products and collaborating with other Research Scientists and Machine Learning Engineers on developing new mathematical modeling techniques to solve customer needs.

Requirements

Key Responsibilities

• Carrying out world-class research oriented to improving NobleAI’s core AI technology
• Working on customer or industry specific problem domains and data sets, leveraging NobleAI Platform features and products and/or collaborating with research scientists on new modeling techniques to solve the customer needs.
• Working with lead engineers and data scientists to integrate research advances into NobleAI products
• Collaborating with engagement success teams to accurately communicate technical aspects of solutions provided to customers through the NobleAI platform
• Perform strategic research oriented towards improving NobleAI's core technology
• Mission oriented: you’re a face of the company and carry the NobleAI flag forward
• Bias towards action: you appreciate the many needs of a early-stage startup, and match or exceed the dedication of those around you
• Team player: you’re committed to excellence, and naturally know how to bring out the best in others, you earn the trust of your colleagues to deliver on-time at high quality

What we're looking for

• PhD. in Computer Science, Mathematics, Statistics, Physics, Chemistry, Biology or other quantitative discipline
• Degree or coursework in Machine Learning
• 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 (Tensorflow, Keras, PyTorch, sklearn, etc.)
• Demonstrated ability to effectively communicate complex technical details at a high level
• Experience in either Natural Language Processing, Computer Vision, or unsupervised learning approaches are all plusses!
• Experience with either cloud or distributed training frameworks (AWS, GCP etc.) is a plus!

Benefits

Did we mention we offer great pay & benefits? 

• Top tier health benefits coverage including medical, dental, vision, disability and life insurance plans
• Generous Paid Time Off & Holidays
• Remote workforce with access to co-working offices
• 401(k) with employer match
• Equity Package
• Salary Range $165 - $190k (Depending on experience & Geographic location)
• Performance Based Bonus Plan