Sr. Machine Learning Engineer
Posted on: July 31, 2022
Who We Are
Founded in 2005, 2K Games is a global video game company,
publishing titles developed by some of the most influential game
development studios in the world. Our studios responsible for
developing 2K's portfolio of world-class games across multiple
platforms, include Visual Concepts, Firaxis, Hangar 13, CatDaddy,
Cloud Chamber, and HB Studios. Our portfolio of titles is expanding
due to our global strategic plan, building and acquiring exciting
studios whose content continues to inspire all of us! 2K publishes
titles in today's most popular gaming genres, including sports,
shooters, action, role-playing, strategy, casual, and family
Our team of engineers, marketers, artists, writers, data
scientists, producers, thinkers and doers, are the professional
publishing stewards of our growing library of critically-acclaimed
franchises such as NBA 2K, Battleborn, BioShock, Borderlands, The
Darkness, Mafia, Sid Meier's Civilization, WWE 2K, and XCOM.
At 2K, we pride ourselves on creating an inclusive work
environment, which means encouraging our teams to Come as You Are
and do your best work! We are dedicated to diversity and inclusion,
and want our community of candidates to reflect this commitment. We
encourage all qualified applicants to explore our global
2K is headquartered in Novato, California and is a wholly owned
label of Take-Two Interactive Software, Inc. (NASDAQ: TTWO).
What We Need
You are an excellent software engineer and have an outstanding
record of deploying and producing ML models, especially experience
with deployment as prediction services. You also have decent
experience and understand machine learning, including different
types and tasks of ML algorithms, ML workflow, and common
modeling/computing frameworks. Being a solution-oriented, creative
problem solver; a self-starter with the passion and enthusiasm to
drive initiatives for meaningful change, meet timelines, and build
whatever is vital along the way is essential for this role. Capable
and comfortable making architectural choices when working on
sophisticated solutions consisting of multiple components.
What You Will Do
- Collaborate with machine learning scientists, data engineers,
tech, and game studios to deploy machine learning models as
production-grade intelligent decision services and integrate with
larger systems or products.
- Build out robust Machine Learning Ops practices for the team
and larger data science group. Advocate and champion engineering
best practices within the data science community.
- Design and quickly prototype AI / ML-powered products and
services for various applications including recommenders,
matchmaking, cheat/toxicity intervention, and economy
- Work closely with game studio devs and central tech to plan and
carry out integration solutions of AI /ML applications into games
in time for launch.
What We Think Will Be A Great Fit
- Bachelor's degree in Computer Science, Computer Engineering,
Electrical Engineering, or other related STEM fields.
- 3-4+ years of proven experience in software development/ or
software engineering, combined with experience on machine learning
deployment in production systems and running MLOps
- Strong programming skills. Proficient in Python, plus at least
one high-performance system programming language (C, C++, Java,
Rust, ---). Skilled with object-oriented and functional programming
paradigms. Adaptable and quick to pick up the new language if
- Familiarity with common ML tasks, including supervised,
unsupervised, and with reinforcement learning as a plus.
Understanding of commonly used ML algorithms (traditional ML and
deep learning). Ability to learn and understand new ML
- Solid understanding of machine learning modeling/computation
frameworks such as sci-kit-learn, PyTorch, Tensorflow, or Spark
- Experience with data technologies such as Relational and NoSQL
databases, Hadoop, or Apache Spark.
Nice To Have
- Recommender systems, search engine, experimentation platform,
matchmaking, or reinforcement learning technologies
- Cloud computing platforms such as AWS, GCP, or Azure.
Containers, container orchestration, serverless deployment,
- Stream data processing and related tools such as Apache Kafka,
Kinesis, Spark Streaming
- Major game engines such as Unreal or Unity.
As an equal opportunity employer, we are committed to ensuring that
qualified individuals with disabilities are provided reasonable
accommodation to participate in the job application or interview
process, to perform their essential job functions, and to receive
other benefits and privileges of employment. Please contact us if
you need reasonable accommodation.
Please note that 2K Games and its studios never uses instant
messaging apps or personal email accounts to contact prospective
employees or conduct interviews and when emailing, only use 2K.com
Keywords: 2K, Waco , Sr. Machine Learning Engineer, Engineering , West, Texas
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