Unity
ML Infrastructure Engineer- (Early Career/Internship)
Rol remoto de Machine Learning Engineering con fit claro de ubicación del candidato.
Publicado1 jul 2026
Países elegibles1 país aceptado
Señal de seniorityJunior
Modelo de trabajoRemoto
Ubicaciones aceptadas para candidatos
Estados Unidos
Resumen del rol
ML Infrastructure Engineer- (Early Career/Internship)
Requisitos y responsabilidades
Contenido del rol extraído en secciones para revisar más rápido.
What you'll be doing
- Build and maintain data pipelines that generate training datasets for machine learning models and experimentation
- Contribute to infrastructure that supports distributed training workflows (e.g., PyTorch, Ray)
- Work with workflow orchestration tools (e.g., Airflow, Flyte, or similar) to support multi-stage ML pipelines
- Improve reproducibility and reliability through dataset validation, monitoring, and testing
- Partner with ML engineers to support experimentation and model iteration
- Help optimize performance and efficiency across data processing and training systems
- Contribute to the evolution of our offline ML platform architecture as it scales
What we're looking for
- Bachelor’s degree in Computer Science, Machine Learning, Systems, or a related field
- Strong foundation in machine learning systems, distributed systems, or large-scale data processing (through research or projects)
- Experience with Python and working with data-intensive workloads
- Familiarity with ML frameworks (e.g., PyTorch, TensorFlow) and/or distributed systems (e.g., Ray, Spark)
- Experience (academic or applied) with data pipelines, model training workflows, or large datasets
- Strong problem-solving skills and ability to translate research ideas into practical systems
- Interest in building scalable, reliable infrastructure for machine learning
- Nice to Have
- Experience with workflow orchestration systems (Airflow, Flyte, etc.)
- Exposure to large-scale data platforms (data lakes, warehouses, streaming systems)
- Publications or research in ML systems, distributed systems, or related areas
Additional information
- Relocation support is not available for this position
- Work visa/immigration sponsorship is not available for this position
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