Machine Learning Engineer at Scaled Inference
Palo Alto, California, United States
🇺🇸 (Posted Sep 5 2018)
About the company
Scaled Inference, Inc. is an artificial intelligence software company, dedicated to optimizing the key performance indicators of its customers. Our platform, Amp.ai, enables our customers to effortlessly enhance and enable their software systems and products (websites, mobile apps, servers, etc.) to continuously optimize their KPI’s with greater ease than traditional experimentation or AI platforms. Our most popular use cases include improving user acquisition and on boarding, increasing engagement, conversion rates, revenue, and improving retention. We can optimize virtually any metric at any level of the funnel, from user acquisition to lifetime value.
At Scaled Inference our mission is to enable enterprises to reach their ultimate potential in the marketplace through the power of AI. Our flagship product Amp.ai is the first autonomous optimization platform that can drive sustained exponential business growth at any scale, offering unprecedented versatility and ease of deployment. We’re looking for versatile, talented individuals who align with our culture and vision to join us in bringing this innovative technology to market.
As a Machine Learning Engineer, you are responsible for some of the core components of our system. You will routinely take ideas from concept through to a complete, scalable system. You will design and implement the statistical inference systems that power our platform and its applications. In doing this, you may develop new data structures, model families, inference algorithms, simulations, experiments, or prototypes that guide both product and engineering efforts.
Design and implement core modeling components
Develop and complete scalable systems that span from data ingestion to model learning and deployment to our customer’s sites
Read, implement, and adapt the latest research in reinforcement learning and statistics
Develop a production quality modeling system while maintaining statistical rigor
Skills & requirements
Bachelor's degree in Computer Science, Mathematics, or related field
Strong proficiency in probability and statistics
Experience implementing optimization, inference, or machine learning algorithms
Proficiency with a compiled programming language (Go, C, C++, Java etc.)
Proficiency with a scripting language is preferred
Instructions how to apply
see the website
[ job website
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