Lead Machine Learning Engineer
San Francisco, California, United States - Remote
Applications have closed
Noble.AI
NobleAI provides Enterprise AI solutions to transform business operations. Our Science Infused AI platform delivers custom solutions for chemical formulations. Optimize workflows, accelerate discovery, and unlock new levels of productivity and...Noble.AI is a California software company creating scalable AI technologies for the world of science and R&D. Our products empower leading R&D organizations to develop breakthrough products in dramatically less time and at 10x lower cost.
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.
We are looking to hire a Lead Machine Learning Engineer to lead and build a world class team of Machine Learning Engineers, while helping to build out our core technology and product.
You will carry out research and develop algorithms, and have a strong desire to tailor these to deliver value to R&D customers. You will have a strong track record in machine learning. You will continually advance our tech, and create and track metrics quantifying performance over time. You will have freedom to do research with ground-breaking potential, balancing this with the need to execute. You will be an integral part of our growing team, collaborating closely with other Machine Learning Engineers as well as Full Stack Engineers, AI Research Scientists, and Product Designers.
You will embody the Founder's vision of applying science and R&D for societal good and impact.
Requirements
Responsibilities
- Carry out world-class research oriented to improving Noble.AI’s core AI technology.
- Manage a team of Machine Learning Engineers that help build out our core technology and product.
- Work on customer or industry specific problem domains and data sets, leveraging Noble.AI Platform features and products and/or collaborating with research scientists on new modeling techniques to solve the customer needs.
- Work with and lead engineers and data scientists to integrate research advances into Noble.AI products.
- Develop and track core tech KPIs for Machine Learning features within the Noble.AI Platform.
- Collaborate with engagement success teams to accurately communicate technical aspects of solutions provided to customers through the Noble.AI platform.
- Mission oriented: you’re a face of the company and carry the Noble.AI flag forward.
- High believability: you earn the trust of your colleagues to deliver on-time at high quality.
- Bias towards action: you appreciate the many needs of a 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.
Qualifications
- Masters degree in Computer Science, or relevant field.
- Minimum of 3 years industry experience.
- Experience leading/managing a team.
- Strong background in machine learning: classical and deep learning techniques (CNNs, RNNs, transformers, embedding techniques, etc.), focus on supervised learning.
- Experience in Natural Language Processing, Computer Vision, and unsupervised learning approaches are all plusses!
- Strong experience in Python and associated ML frameworks (Tensorflow, Keras, PyTorch, sklearn, etc.)
- Experience with scalable web application architectures and frameworks (Django, SQL, AWS infrastructure, etc.)
- Demonstrated ability to effectively communicate complex technical details at a high level.
- Mathematical physics specialization [statistical physics, plasma physics, kinetic theory] a plus!
Benefits
Did we mention we offer great pay & benefits?
- Great Medical, Dental & Vision Insurance plans
- Company-Paid Life, Short-Term Disability & Long-Term Disability Insurance
- Generous Paid Time Off & Holidays
- 401(k) with 100% employer match up to 4% of your contributions
- Equity Package
- Salary Range $140k - $175k (Depending on experience & Geographic location) + Performance Based Bonus Plan
Tags: Architecture AWS Computer Science Computer Vision Deep Learning Django Keras KPIs Machine Learning NLP Physics Python PyTorch R R&D Research Scikit-learn SQL Statistics TensorFlow Transformers Unsupervised Learning
Perks/benefits: 401(k) matching Career development Equity Flex vacation Health care Insurance Salary bonus Startup environment
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