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Principal Machine Learning Engineer, Platform

Company: CyberCoders
Location: Seattle
Posted on: October 23, 2019

Job Description:

Principal Machine Learning Engineer, Platform
- Those authorized to work in U.S. are encouraged to apply -AI/ML Technology! Strong Base Salary with EQUITY!If you are a Principal Machine Learning Engineer, Platform with 5+ years of experience building service-oriented infrastructure & API driven systems in production environments plus 7+ years of experience with SQL & NoSQL databases, please read on!This is a rare opportunity to get in at the early stages of a growing team, in a rapidly growing company. We're looking for one of the next leaders in the industry. If that's you, let's talk. Don't wait. Apply today. Interviews are going on now.-- Please answer all screening skills & questions in order to expedite the process. Application will be considered incomplete unless the screening skills & questions are answered. Incomplete applications cannot be submitted for further review. ----- Please note that only qualified candidates will be contacted ---
What's In It for You
-- Strong Base Salary (Open to salary ranges depending on experience) --- 100% company-paid Medical, Dental, and Vision for you and 75% for your dependents- Ownership via Stock Options!!!- Flexible Time Off- Dog friendly office- Daily catered lunch- The opportunity to work with an incredibly supportive team of thinkers and innovators


What You Will Be Doing
We're looking for an experienced Machine Learning Engineer to own our Science & Modeling platform. You will be on the team building the platform that powers our Data Science, Model Training & Evaluation & API's.You will be focused on building data products & making data science work in production.- Assert that all production tasks are working in terms of actual execution & scheduling.- Contributing to Machine Learning libraries often adding new functionalities.- Ensure that data science code is maintainable, scalable & debuggable.- Automate & abstract away repeatable routines that are present in most Machine Learning tasks.- Evangelize best software development practices with the data science team- Improve & help streamline the Data Scientist workflow.- Chooses the best operational architecture together with DevOps team.- Look constantly for possible performance improvements- Decide which Machine Learning technologies will be used in production environment.- Build infrastructure to train & evaluate a variety of models.- Stand up the services used for production prediction & modeling.- Evaluate & improve model selection algorithms.- Deploy algorithms & models to improve prediction & ranking performance.- Generalize model training to include diverse data stores.- Develop, scale & maintain our distributed systems.Our StackThe Ratio platform is a scalable, end-to-end solution that provides food companies with a cutting-edge, flexible system to cook en route, predict inventory & meet customer demand wherever that customer may be.The core technologies used internal to the AI & Machine Learning Platform include Node.js, Express, Vue.js, Redis, Postgres, BigQuery, Python, TensorFlow, containerized with Docker, deployed to Kubernetes in GCP.
What You Need for this Position
Master's in Computer Science is strongly preferred!Bachelor's degree in Computer Science or a related technical field or equivalent work experienceYou will be focused on building data products & making data science work in production.5+ years of experience building service-oriented infrastructure & API driven systems in production environments7+ Experience with SQL & NoSQL DBsExperience crafting and implementing APIs & ETLsUnderstanding and familiarity with common Machine Learning techniquesSoftware development experience in Node.jsA strong sense of ownership and team responsibilityStrong PlusesExperience with Typescript and PythonExperience with Google Cloud Platform, and more specifically the Machine Learning EngineExperience with Docker and KubernetesExperience with CUDA libraries and debug utilitiesExperience with Time Series and Graph DBsExperience with Tableau, or other Business Analytics toolsPrevious experience at a startupPreviously participated in FIRST Robotics

So, if you are a Principal Machine Learning Engineer, Platform with 5+ years of experience building service-oriented infrastructure & API driven systems in production environments plus 7+ years of experience with SQL & NoSQL databases,, please apply today!- Those authorized to work in U.S. are encouraged to apply --- Please answer all screening skills & questions in order to expedite the process. Application will be considered incomplete unless the screening skills & questions are answered. Incomplete applications cannot be submitted for further review. ----- Please note that only qualified candidates will be contacted ---
- Applicants must be authorized to work in the U.S.
CyberCoders, Inc is proud to be an Equal Opportunity Employer

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status, or any other characteristic protected by law.

Your Right to Work In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification document form upon hire.

Keywords: CyberCoders, Lacey , Principal Machine Learning Engineer, Platform, Engineering , Seattle, Washington

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