9 дней назад
Senior Machine Learning Engineer (ML Infrastructure)
341 000 - 1 247 000CNY
Вакансия из Hirify Global, списка международных tech-компанийДля мэтча и отклика нужен Plus
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Machine Learning Engineer (ML Infrastructure) (offline ML platform): Building reliable infrastructure for training dataset generation, ML workflow orchestration, and distributed model training at scale with an accent on pipeline reliability, scalability, observability, and performance. Focus on designing large-scale data pipelines, integrating Ray with orchestration systems, optimizing distributed compute resources, and leading architectural improvements.
Location: Shanghai, China. Relocation support and work visa/immigration sponsorship are not available.
Base salary: CNY ¥341,000–¥1,247,000 gross annually.
Company
is a game engine and 3D development platform serving games and applications across gaming, automotive, manufacturing, healthcare, and other industries.
What you will do
- Design and operate large-scale data pipelines that generate training datasets for machine learning and experimentation.
- Build infrastructure for distributed training workflows using PyTorch, Ray Data, and Ray Train.
- Integrate ML pipelines with workflow orchestration systems such as Flyte and Airflow.
- Improve reproducibility and observability through dataset validation, monitoring, and automated testing.
- Optimize performance and resource utilization across distributed data processing and model training systems.
- Lead architectural improvements and partner with ML engineers on large-scale experimentation and model iteration.
Requirements
- Strong experience building large-scale ML and production-grade data pipelines.
- Experience with distributed computing frameworks such as Ray, Spark, and Flink, including familiarity with Ray Data and Ray Train.
- Experience building infrastructure for training data generation, dataset preparation, or ML feature pipelines.
- Strong Python programming skills and experience with large-scale distributed workloads.
- Experience with data lakes, data warehouses, orchestration systems, and streaming platforms.
- Strong systems thinking and the ability to lead technical direction and influence architectural decisions across teams.
Culture & Benefits
- Health, life, and disability insurance, with eligibility varying by country and employment status.
- Commute subsidy, retirement or pension plans, and employee stock ownership.
- Vacation and personal days, parental leave, and family-care programs.
- Mental health and wellbeing support, employee resource groups, and global employee assistance.
- Training and development programs, volunteering support, and donation matching.
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