Machine Learning Engineering Manager

Oddin; United States; Hybrid; USD 134,000 - 201,000; Part time

Benefits offered by this job

Norse-myth-inspired offices in Prague

Language courses provided

Quarterly team-building activities

Sponsored Multisport card

Job summary

Oddin is seeking an experienced ML Engineering Manager to lead two teams of 4–6 ML engineers and mathematicians working on esports analytics. You will align technical strategy with business goals, oversee model development and MLOps, and drive the roadmap with product managers and infrastructure partners.

You work in a hybrid Prague setup, with remote options, and you'll promote ownership, experimentation, and high-quality delivery while enabling team growth and cross-team collaboration across

Qualifications

• 4+ years as a hands-on ML engineer.
• Understanding of model development and validation challenges.
• Practical experience with MLOps.
• Concrete experience using AI tools to accelerate ML workflows.

Responsibilities

• Lead two ML teams in different esports verticals.
• Define staffing needs and drive hiring.
• Manage performance and foster ownership.
• Set the standard for AI tool use and experimentation.
• Shape the roadmap with senior team and PM alignment.
• Review high-level technical decisions and ML architecture.
• Unblock teams with ML Ops and infrastructure practices.
• Evaluate AI tooling to accelerate development.
• Own the agile delivery process and balance delivery with R&D.
• Translate complex ideas into actionable tasks and drive execution.
• Coordinate dependencies across teams and external stakeholders.

Skills

Hands-on ML

MLOps

AI tooling

Team leadership

Communication

Agile delivery

Model validation

ML infrastructure

Tools

ML Ops tooling

Code generation

Job description

Independent contractor Primary Location: Prague, Czech Republic /hybrid/remote

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. 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.

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.