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thatgamecompany

ML Engineer

Reposted 10 Hours Ago
Remote
Hiring Remotely in United States
70K-177K Annually
Mid level
Remote
Hiring Remotely in United States
70K-177K Annually
Mid level
The Machine Learning Engineer will develop and deploy machine learning models, engage with data science practices, and facilitate player interaction in a gaming context.
The summary above was generated by AI

thatgamecompany is best recognized for creating award-winning, enriching, and meaningful game titles such as Journey, Flower, and flOw. Our most recent game, Sky, is our most complex undertaking to date. It is a social network built around the values inherited from a powerful humanistic story. It is a live experience continuously evolving inside a global online theme park. 

Sky has an amazing and vibrant community of socially minded players, and we are tirelessly working on solutions to deepen player interaction and create lasting friendships. We are seeking an experienced ML Engineer to help us build new ways to understand and connect our players.

We expect you to:

  • Have deep passion for video games and think on behalf of our players

  • Be curious, a problem solver and a self starter who is comfortable taking risks. Know how and when to apply your knowledge, and be willing to share with the rest of us

  • Be comfortable with ambiguity and able to navigate it to iteratively refine the problem space

  • Be able to complete a project from start to finish. That includes requirements gathering, experimentation, model development, deployment, monitoring, documentation, support, and communication

Required Skills

  • 3+ Years of Experience in applied Data Science or Machine Learning

  • Knowledge of Machine learning and Statistical methods (Classical ML, Deep Learning, NLP, and Anomaly Detection) and the ability to identify the most suitable solution for the problem

  • Knowledge of Machine Learning and Statistical concepts including experimental design, hypothesis testing, regression, classification, and clustering

  • Experience building and deploying complex and scalable machine learning models in production environments, ideally in Kubernetes

  • Experience writing clean, efficient code in Python, Java, or Scala

  • Experience writing optimized SQL Queries to build and analyze datasets

  • Some exposure to a modern Cloud Platform, preferably GCP

  • Some knowledge or experience with Big Data Processing Tools and Formats

    • Like BigQuery, Redshift, Snowflake, Spark/Beam, Parquet, Iceberg

  • Strong communication skills, desire to understand the data you’re using, and the ability to explain what you built and why you built it

  • Eager to learn new skills and always open to jump out of your comfort zone. 

Preferred Experience

Any of the following would be highly preferred, but most of all, we value team players who are eager to learn and contribute:

  • Experience with Graph Databases or Matchmaking

  • Experience with Collaborative Filtering or User Vectorization

  • Experience with large-scale Sentiment Analysis

  • Experience with Typescript and Protobuf

  • Experience with Source Control, CICD, or Infrastructure as Code

  • Experience in the video gaming industry

  • Experience in a small company with a startup feel

  • Interest in technical writing and sharing your workWe look forward to meeting you!

Perks:

• Paid Time Off, Holidays, and Two Weeks Winter Break

• Employees and their dependents get medical, dental, and vision coverage, regardless of their level, tenure, or position within the company. Moreover, these benefits start on the first day of the job—there’s no waiting period before they kick in.

• Pet Insurance for those who need it too.

• Compassionate leave for employees who needs to take care of their family members

• Pre-tax wellness stipend

• Pre-tax work from home stipend

• Access our savings plan (401K program) with company match

• Mental health resources including Headspace membership and Employee Assistance Program (CCA)

• Discount portal for everyday goods and services

• Employee inclusive and diversity initiatives such as Grow Together

• Support for personal professional development

Applicants must be authorized to work for any employer in the U.S. or Canada. We are unable to sponsor or take over sponsorship of an employment Visa at this time.

The salary range for this position is $70,168 USD to $176,880 USD annually, with the
opportunity to earn an annual discretionary bonus. This salary range is an estimate, and
the actual salary may vary based on the Company’s compensation practices.
Employees in this position are eligible to participate in the Company’s standard employee benefit programs, which currently include the following: medical, dental, vision, 401k, and paid time off.

#LI-Remote 

Top Skills

Beam
BigQuery
GCP
Java
Kubernetes
Protobuf
Python
Redshift
Scala
Snowflake
Spark
SQL
Typescript

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