Pony.ai

软件工程师 - 模型训练基础建设

Pony.ai  •  Onsite  •  3 months ago
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Job Description

软件工程师 - 模型训练基础建设广州全职职位描述1、模型训练基础设施搭建:设计并开发高效的模型训练流水线(包括数据处理、分布式训练、日志记录和性能监控等);
2、模型开发支持:协助团队进行深度学习模型的训练、调优,解决训练中的性能瓶颈问题;
3、自动化工具开发:开发自动化工具和脚本,提高训练和调试效率;
4、工程优化:优化现有训练框架,提升资源利用率(如多卡训练、混合精度等);职位要求基础技能:
1、熟悉主流深度学习框架(如 PyTorch、TensorFlow),具有实际项目经验;
2、了解模型训练过程,包括数据预处理、分布式训练和性能调优;
3、精通 Python 编程,有扎实的工程实现能力;
4、熟悉 Linux 开发环境,能高效使用 Shell 脚本进行日常操作;
加分项:
1、有分布式训练或大规模数据处理经验(如使用 Horovod、DeepSpeed 或其他分布式框架);
2、熟悉机器学习工程(MLOps)工具链,如 MLflow、TensorBoard、Weights & Biases 等;
3、熟悉 DevOps 流程和容器化技术(Docker/Kubernetes);
4、有一定的算法基础,能够独立调试和改进模型。 投递
Pony.ai

About Pony.ai

Pony AI Inc. (“Pony.ai”) is a global leader in the large-scale commercialization of autonomous mobility.

Leveraging its vehicle-agnostic Virtual Driver technology, full-stack autonomous driving technology that seamlessly integrates its proprietary software, hardware, and services, Pony.ai is developing a commercially viable and sustainable business model that enables the mass production and deployment of vehicles across transportation use cases.

Founded in 2016, Pony.ai has expanded its presence across China, Europe, East Asia, the Middle East, and other regions, ensuring widespread accessibility to its advanced technology.

Pony.ai is among the first in China to obtain licenses to operate fully driverless vehicles in all four Tier-1 cities in China (Beijing, Guangzhou, Shanghai, Shenzhen) and has begun to offer public-facing, fare-charging robotaxi services without safety drivers in Beijing, Guangzhou and Shenzhen. Pony.ai operates a fleet consisting of over 250 robotaxis.

To date, Pony.ai has driven nearly 45 million autonomous testing and operation kilometers on open roads worldwide.

Industry
IT & Software
Company Size
501-1,000 employees
Headquarters
Fremont, California
Year Founded
2016
Website
pony.ai
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