Experienced ML Engineer - Anti-Cheat

As an ML Engineer in the Anti-Cheat team at Embark Studios, you will join a cross-functional team dedicated to maintaining fair and safe gameplay by preventing cheating and exploiting. Your role involves building and deploying ML cheat detection systems, developing new models, and analyzing results for various stakeholders. The team collaborates across disciplines like game security, internal tooling, backend/data engineering, and data analytics/machine learning, supporting all Embark games and working with diverse organizational stakeholders.

Must Have

• Create infrastructure to power training, deployment and serving of ML cheat detection models
• Work closely with stakeholders and game teams to scope and design anti-cheat measures
• Research, develop, and train ML models
• Provide model performance analyses and visualizations
• Analyse telemetry data to identify cheating patterns
• Build ETL’s and data pipelines for feature creation
• Stay current with new research and share that knowledge with the rest of the team

Good to Have

• Experience with Go
• Experience and/or interest in games and anti-cheat

Perks & Benefits

• Competitive salaries
• Passionate colleagues
• Opportunity to take part in a journey into the unknown
• Build creative, surprising and beautiful experiences

As an ML Engineer in the Anti-Cheat team at Embark Studios you will be part of a small, cross-functional team with a mission to keep Embark games fair and safe from cheating and exploiting. In this role you will use your skills and experience to help build out our ML cheat detection systems, develop and deploy new models, and analyze and explain the results to various stakeholders.

The Anti-Cheat team comprises a set of disparate but complementary disciplines, including game security development, internal tooling, backend- and data engineering, and data analytics/machine learning. Most of us work across more than one of these domains. Being a core function supporting all of Embark’s games, we collaborate with many different stakeholders throughout the organisation, such as game teams, legal, and community management.

You are likely curious to learn new skills, and enjoy collaborating within and across teams. Your passion for data, technology and games is what is driving you to great success. By being creative and experimental you aim to solve problems in a game-changing way.

Example of responsibilities

• Create infrastructure to power training, deployment and serving of ML cheat detection models
• Work closely with stakeholders and game teams to scope and design anti-cheat measures
• Research, develop, and train ML models
• Provide model performance analyses and visualizations
• Analyse telemetry data to identify cheating patterns
• Build ETL’s and data pipelines for feature creation
• Stay current with new research and share that knowledge with the rest of the team

We would love if you have

• A creative and curious mind
• Experience from implementing and evaluating ML methods
• Solid experience with common ML frameworks
• Deep knowledge of complex SQL
• Experience in statistical modeling and analysis over large datasets
• Strong programming skills in Python
• Experience working with Google Cloud Platform
• Experience working with ETLs and data pipelines
• Experience with MLOps
• Professional English communication skills

Additionally, we think it would be a great bonus if you have

• Experience with Go
• Experience and/or interest in games and anti-cheat

At Embark we offer competitive salaries, passionate colleagues to share knowledge with and much more, but most of all we invite you to take part of a journey into the unknown, to build creative, surprising and beautiful experiences together.

We welcome game makers of all sex, class, colour, age, gender identity, education, religion, opinion, culture, nation of origin, language, sexual orientation, shape, size, and ability.

Did we leave anyone out? Well, we welcome you, too! We think that the gaming industry is made better when everyone has a seat at the table.

Be yourself at Embark and make games while doing so. Please apply with confidence. We can’t wait to hear from you (in English)!