Machine Learning Engineering Manager
oddin· Quant
About this role
Your teams own the algorithmic heartbeat of major esports verticals, spanning iconic MOBA titles (Dota 2, LoL) and FPS giants (CS2, Valorant). They manage the entire ML lifecycle—from raw data ingestion and feature engineering to model architecture, rigorous validation, and high-throughput production deployment. While you won't be writing the code yourself, you will serve as the technical anchor who deeply understands this end-to-end flow, ensuring our systems are robust, scalable, and cutting-edge.
A critical pillar of your role is high-level strategic alignment. You will act as the key technical bridge between your teams and product managers, infrastructure champions, and domain game specialists, transforming complex technical capabilities into sharp business outcomes and seamlessly integrating domain insights into our modeling strategy.
Your Responsibilities
Leadership
Lead two teams of 4-6 ML engineers and mathematicians, each focused on a different esports vertical (MOBA, FPS).
Define team staffing needs and drive hiring across both teams.
Manage performance of direct reports. Foster a culture of ownership, accountability, and collaboration.
Set the standard for how the teams work with AI tools - lead by example, encourage experimentation, measure and evaluate AI tools and set up impact on delivery.
Technical Strategy & Roadmap
Partner with senior team members to shape the roadmap; together with a PM ensure alignment with business goals.
Review and challenge key high-level technical decisions - model development and validation, ML architecture etc.
Work on unblocking the teams - support ML Ops and infrastructure best practices.
Evaluate and introduce AI tooling that accelerates model development, validation, and deployment.
Delivery & Execution
Own the agile delivery process; find a good trade-off between delivery and R&D.
Help others break down complex ideas into actionable tasks and research initiatives; drive execution and delivery. Leverage AI tools to accelerate prototyping and iteration cycles.
Manage dependencies across teams and represent the teams externally when resolving cross-team initiatives.
Skills You Need
Individual Contributor Background (4+ years)
4+ years as a hands-on ML engineer.
Understanding of model development and validation challenges, pitfalls, and best practices.
Practical experience with MLOps.
Concrete experience using AI tools to accelerate ML workflows - code generation, prototyping, validation.
Manager (3+ years)
3+ years leading a team of 5–10 people focused on ML or mathematical models.
Strong communication and collaboration skills - creating a supportive, productive environment.
Ability to provide constructive feedback, support growth, and set clear goals.
Strong organizational skills - tracking progress across two teams, identifying blockers, ensuring delivery with clear stakeholder insights.
Bonus: Industry Experience
Experience in betting, quantitative finance, trading, or sports analytics is a significant advantage.
Haven't we caught you yet?
Help us maintain our position as the No. 1 esports analytics company.
Imagine a culture that embraces change and quickly adapts to global opportunities.
Experience immense potential for personal growth while contributing to an innovative team.
Work remotely or in a hybrid style – whatever suits you best.
Enjoy our brand new Norse-myth-inspired offices in Prague.
Improve your English with company-sponsored language courses.
Participate in quarterly team-building activities to bond with your team.
Benefit from a sponsored Multisport card.
Frequently Asked Questions
Is the salary disclosed for the Machine Learning Engineering Manager position at oddin?
The salary for this Machine Learning Engineering Manager role at oddin is not publicly listed. Click "Apply Now" to learn more about the compensation package on their official careers page.
Where is the Machine Learning Engineering Manager position at oddin located?
This Machine Learning Engineering Manager role at oddin is based in Prague. The position is listed as on-site or hybrid. Check the full job description or apply directly to confirm the work arrangement.
Is the Machine Learning Engineering Manager role at oddin full-time or part-time?
This is listed as a Freelance Contract position. It is posted as a Machine Learning Engineering Manager role in the Quant department at oddin.
Which team or department does the Machine Learning Engineering Manager at oddin belong to?
This Machine Learning Engineering Manager position is part of the Quant department at oddin. See the full job description for more information about the team structure and responsibilities.
How do I apply for the Machine Learning Engineering Manager position at oddin?
Click the "Apply Now" button on this page. You will be redirected to oddin's official application portal hosted on lever where you can submit your application directly.
When was the Machine Learning Engineering Manager job at oddin posted?
This Machine Learning Engineering Manager position at oddin was posted on May 7, 2025. Apply as soon as possible — early applications are often reviewed first.
Machine Learning Engineering Manager
oddin
You'll be redirected to oddin's official application page on Lever.