Senior Applied AI Engineer
Develop and deploy scalable machine learning and AI systems for user-facing products, including forecasting and AutoML capabilities. The role requires strong production ML engineering, modeling, software engineering, statistics, and systems knowledge.
About the job
Responsibilities
- Build features and run end-to-end machine learning systems in a small team of engineers and data scientists.
- Shape the direction of applied machine learning investment by engaging with engineering and product teams across the company.
- Drive development and deployment of state-of-the-art machine learning and artificial intelligence models and systems impacting products, infrastructure, and services.
- Architect and implement robust, scalable machine learning infrastructure, including model training and serving components for production integration.
- Develop novel machine learning modeling techniques for forecasting.
- Contribute to the broader AI community through conference presentations and open-source projects.
Requirements
- 2–8 years of machine learning engineering experience in high-velocity, high-growth companies.
- Strong understanding of computer systems and statistics.
- Experience developing AI/ML systems at scale in production.
- Strong track record of machine learning modeling beyond standard libraries.
- Strong coding and software engineering skills.
- Familiarity with testing, code reviews, and deployment practices.
- Broad knowledge of, or willingness to develop, mathematical modeling beyond machine learning.
Nice-to-haves
- Experience deploying, scaling, and monitoring models in production.
- Understanding of infrastructure challenges involved in training and serving predictions in Tier 0 environments.
Compensation and Benefits
- Comprehensive benefits and perks are offered, with details varying by region.
Skills
Machine Learning, Artificial Intelligence, Python, Statistics, Computer Systems, Deep Learning, Forecasting, Model Training, Model Serving, Machine Learning Infrastructure, Model Monitoring, Software Testing, Open Source
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