Machine Learning Engineer
Burbank, Ca
Machine Learning Engineers at Zest AI build software that enables our customers to quickly create, adopt, and operate machine learning models in production. For example, some work might be focused on scale (automating model builds/deployments), while other work might be addressing a specific capability (better model power, clearer model explainability, more desirable fairer model alternatives).
In this role you will:
- Create experiments and develop prototypes, with the goal of developing robust and efficient production-ready software
- Collaborate with product management and engineering departments to understand company needs and devise ML/AI-powered solutions
- Build tools that will increase the productivity of teams leveraging the ML/AI-based systems
- Build demos, guidance documentation, and assist with training to help increase proficiency for our internal/external customers
- Test and apply cutting-edge ML/AI research to develop new and improved products, processes, or technologies
We are looking for:
- BS, MS or PhD in a quantitative field (Computer Science, Engineering, Physics, etc.), with demonstrated use of ML techniques – MS and PhD preferred
- Strong fundamentals in programming, statistics, mathematics, and ML algorithms (neural networks, tree-based methods, optimizers, super/unsupervised learning, feature engineering, etc.) – experience with Python strongly preferred
- Familiar with ML/AI frameworks (TensorFlow, XGBoost, Scikit-learn, etc.), and modular/modern software design practices
- Good development practices/ability regarding memory, disk I/O, and CPU/GPU management
- History of research publications and/or implementations of state of the art techniques - preferably viewable through open source channels (arXiv, GitHub, etc.)
- Passionate about ML/AI and how it can improve on the world
Perks and benefits:
- People – the best part of Zest
- Robust healthcare plans, matching 401K and unlimited vacation time
- Weekly companywide “all hands” meetings
- Virtual weekly happy hours, sometimes casual and other times with a focus around topics like racial discrimination and LGBTQ+ history
- Employee care packages to make WFH more enjoyable
* Salary range is an estimate based on our salary survey at salaries.ai-jobs.net
Tags: Engineering Feature engineering FinTech GitHub GPU Machine Learning ML Open Source PhD Python Research Scikit-Learn Statistics TensorFlow XGBoost
Perks/benefits: Career development Flex vacation Team events Unlimited paid time off
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