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Tech Stack
Tools & technologiesGoJavaPythonPyTorchRustTensorflow
About the role
Key responsibilities & impact- Design and build training pipelines, data workflows, and model integration systems
- Develop infrastructure that accelerates research iteration and reduces turnaround time
- Build systems for data collection, curation, and preprocessing at scale
- Create tools and automation that move experiments toward production readiness
- Optimize data pipelines for reliability, performance, and observability
- Collaborate with ML researchers to understand their needs and remove technical blockers
- Work on model serving infrastructure and integration with the production framework
- Write clean, well-tested code that maintains high engineering standards
- Participate in code reviews and help raise the engineering bar across the team
- Contribute to shared tools, infrastructure, and cross-role projects (20% Time)
- Work with the dual-leadership model (Engineering Manager and Tech Lead) to understand priorities and technical direction
- Document systems and decisions to support team knowledge sharing
Requirements
What you’ll need- 3+ years of professional software engineering experience in building production ML systems, training infrastructure, or research platforms.
- Proficiency in Python, additional experience with at least one other systems language (C++, C#, Java, Rust, or Go).
- Hands-on experience with PyTorch or TensorFlow in production or research environments.
- Experience building or maintaining ML training pipelines or data workflows.
- Familiarity with model deployment, inference optimization, or MLOps practices.
Benefits
Comp & perks- Competitive compensation package.
- Flexible working hours and vacation policy.
- Product-driven culture that treasures talents and individual growth.
- Front-row seat and hands-on experience with cutting edge technologies in the evolving gaming field
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
Software EngineeringData WorkflowsModel Integration SystemsInfrastructure DevelopmentData CollectionData CurationPreprocessingCode ReviewProduction ReadinessInference Optimization
Soft Skills
CollaborationDocumentationProblem Solving
