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Machine Learning Engineer - Platform & Full Stack

Company: CyberCoders
Location: Mountain View
Posted on: June 15, 2019

Job Description:

Machine Learning Engineer - Platform & Full Stack
AI/ML Technology Groundbreaking Start-up! Strong Base Salary with EQUITY!

- Those authorized to work in U.S. are encouraged to apply -

If you are a Machine Learning Engineer - Platform & Full Stack with strong data engineering and data science experience in building production applications for data science and machine learning, please read on!

Silicon Valley based start-up, we are on a quest to be the most powerful source of health & well-being on the planet. Using cutting-edge automation & transportation logistics we are developing better tools & processes. We can feed people healthier, sustainably-grown food, delivered fresh & free from chemical stabilization!

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 and Modeling platform. You will be on the team building the platform that powers our Data Science, Model Training & Evaluation, and API's.

What You'll Do

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 and debuggable.
Automate & abstract away repeatable routines that are present in most ML tasks.
Evangelize best software development practices with the data science team
Improve and help streamline the Data Scientist workflow.
Chooses the best operational architecture together with DevOps team.
Look constantly for possible performance improvements
Decide which ML technologies will be used in production environment.
Build infrastructure to train and evaluate a variety of models.
Stand up the services used for production prediction and modeling.
Evaluate and improve model selection algorithms.
Deploy algorithms and models to improve prediction and ranking performance.
Generalize model training to include diverse data stores.
Develop, scale, and maintain our distributed systems

Our Stack:

The 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, and meet customer demand wherever that customer may be.

The core technologies used internal to the AI & ML Platform include Node.js, Express, Vue.js, Redis, Postgres, BigQuery, Python, containerized development with Docker, and deployed to Kubernetes in GCP. We also use distributed systems that communicate with our one of a kind Bake-On-The-Way food delivery platform, food prep robotics, and several other SaaS providers.
What You Need for this Position
We are looking for a generalist focused on creating data products and making data science work in production.

- Those authorized to work in U.S. are encouraged to apply -

- Bachelor's degree in Computer Science or a related technical field or equivalent work experience
- Experience building service oriented infrastructure and API driven systems
- Experience with SQL and NoSQL DBs
- Experience designing and implementing APIs & ETLs
- Understanding and familiarity with common ML techniques
- Software development experience in Node.js
- A strong sense of ownership and team responsibility

BONUS POINTS

- MS or greater in Computer Science, Machine Learning or Artificial Intelligence
- Experience with Typescript and Python
- Experience with Google Cloud Platform, and more specifically the Machine Learning Engine
- Experience with Docker and Kubernetes
- Experience with CUDA libraries and debug utilities
- Experience with Time Series and Graph databases
- Experience with Tableau, or other Business Intelligence tools
- Previous experience at a startup
- Previously participated in FIRST Robotics

If you are a Machine Learning Engineer - Platform & Full Stack with strong data engineering and data science experience in building production applications for data science and machine learning, please read on!

- Those authorized to work in U.S. are encouraged to apply -

-- Please answer all screening skills and questions in order to expedite the process. Application will be considered incomplete unless the screening skills and 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, San Francisco , Machine Learning Engineer - Platform & Full Stack, Engineering , Mountain View, California

Click here to apply!

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