Unity
ML Infrastructure Engineer- (Early Career/Internship)
Vaga remota de Machine Learning Engineering com fit claro de localização do candidato.
Publicada1 de jul. de 2026
Países elegíveis1 país aceito
Sinal de senioridadeJunior
Modelo de trabalhoRemoto
Locais aceitos para candidatos
Estados Unidos
Resumo da vaga
ML Infrastructure Engineer- (Early Career/Internship)
Requisitos e responsabilidades
Conteúdo da vaga extraído em seções para revisão mais rápida.
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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