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Machine Learning Engineer

Company: PlayQ
Location: Santa Monica
Posted on: September 12, 2020

Job Description:

PlayQ is a rapidly growing global entertainment and technology company delivering high-quality mobile titles and innovative game development solutions to a worldwide audience. Our games have been downloaded more than 60 million times across the globe, with millions of users playing every day!

Our dedicated teams, based in downtown Santa Monica, CA, work together to craft the clever, visually stunning, and unforgettable experiences that our players love. Our emphasis on individual leadership means each team member has the opportunity to make a big impact, while our commitment to creative freedom gives them the ability to create whatever they can imagine.

It’s this mindset that has led us to develop our own IP, infuse games with rich storytelling, build our own development tools, and solve the deepest technical challenges - all in the name of disrupting the mobile gaming landscape.

Job Overview:

PlayQ is looking for a highly motivated and skilled Machine Learning Engineer to help us unlock the full potential of our data science capabilities. In this role, you’ll have the exciting opportunity to work closely with our data team to help us design, develop, and deploy machine learning models as we continue to scale our platform and infrastructure. You will also work closely with our product & marketing teams in everything from the ideation, research & prototyping of modeling approaches, and to scaling & deploying models in our gaming platform.

Our ideal candidate is a team player who loves to build data products and technologies and wants to be involved in the end-to-end machine learning process. You also should possess a passion and deep theoretical knowledge of machine learning & neural networks and can discuss in depth the strengths, and drawbacks of various techniques & algorithms for various business requirements.

If you’re excited by the opportunity to make a big impact by owning our machine learning strategy & operations then we’d love to hear from you!

Responsibilities:

Design and implement machine learning systems and bring state-of-art ML methods into real application

Work with data scientists, product management and engineering to implement data science use cases

Identify key insights and build machine learning applications that will increase player engagement and retention

Develop, deploy and continuously improve data products in the areas of LTV/churn prediction, product recommendations, bandit models etc.

Build and design ML infrastructure including building resilient data pipelines, monitors, experimentations, APIs and data connectors

Run regular A/B tests, perform statistical analysis, draw conclusions on the impact of the models

Requirements:

MS, or PhD in computer science, applied statistics or other quantitative fields, or equivalent practical work experience

3+ years of hands-on experience in applied machine learning and in deploying machine learning models at scale

Possess real-world experience in building and scaling machine learning algorithms.

Strong breadth of ML techniques including classification, regression, clustering and reinforcement learning

Full-stack development experience in building data products and production data pipelines to support data and analytics functions

Expert level Python skills and in machine learning libraries including Scikit-Learn/Tensorflow/Pytorch.

Experience with SQL and NoSQL databases (Snowflake, DynamoDB)

Knowledge of statistical hypothesis testing, Bayesian inference methods and statistical distributions

Great communication & teamwork skills

Self-starter with meticulous attention to detail

Bonus Points:

Experience working in the mobile gaming industry

Competitive compensation and equity options

Comprehensive medical, dental, vision, life and long term disability insurance

Flexible time off

401K plan with company match

Stocked kitchen with free snacks and beverages of your choice

Catered weekly team lunches

Brand new penthouse office space equipped with outdoor patios offering beachfront views

Monthly team outings and volunteer opportunities

Help build and support awesome GAMES. For a living! Who doesn't love games?

Do you currently have legal authorization to work in the United States?  *

-- Will you now or in the future require company sponsorship for employment visa status (e.g. H1-B visa status)?  *

--

Why are you interested in working at PlayQ?  *

What would you like to learn while working here?  *

What is an imbalanced dataset? Can you list some ways to deal with it?  *

Tell us about a time when you’ve used deep learning or machine learning methods to solve a business problem.  *

Please rate your degree of expertise on a scale from 1-10 (10 being an expert) on each of the following: 1. Python 2. SQL 3. Statistical inference methods 4. Neural networks  *

Keywords: PlayQ, Santa Monica , Machine Learning Engineer, Other , Santa Monica, California

Click here to apply!

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