Data Lake Infrastructure & Analytics Engineer - Graduate

ByteDance; San Jose (CA); On-site; USD 128,000 - 256,000; Full time

Job summary

ByteDance is hiring for an Applied ML Engineer role focused on building MaaS platforms using large language models, data lakes, and analytics pipelines. The US team leads design, development, and operation across the US and international markets outside mainland China, spanning text and multimodal LLMs, training, fine-tuning, and inference frameworks.

You will work on end-to-end data pipelines, analytics, and data quality governance to support continual model and system improvements.

Qualifications

• Bachelor's or Master's in Computer Science, Software Engineering, Data Science, or related field.
• Solid fundamentals in data structures, algorithms, and distributed systems.
• Strong programming skills in at least one mainstream language, plus proficiency in SQL.
• Hands-on experience with a big data engine or lakehouse storage system.
• Demonstrated ability through substantial projects, internships, research, or open-source work.

Responsibilities

• Build and maintain the data lake that powers model and agent development, including storage design, query performance, and cost efficiency.
• Develop large-scale batch and streaming pipelines that turn raw model and agent logs into analysis-ready datasets.
• Build analytics and metrics platforms that let algorithm and product teams find actionable insights quickly.
• Own data quality and governance, and partner with algorithm teams to support the data flywheel behind continuously improving systems.

Skills

Data structures

Algorithms

Distributed systems

Programming (mainstream language)

SQL

Education

Bachelor's or Master's in CS/SE/Data Science

Tools

Lakehouse storage

SQL engine

Job description

ByteDance is hiring for an Applied ML Engineer role focused on building MaaS platforms using large language models, data lakes, and analytics pipelines. The US team leads design, development, and operation across the US and international markets outside mainland China, spanning text and multimodal LLMs, training, fine-tuning, and inference frameworks.

You will work on end-to-end data pipelines, analytics, and data quality governance to support continual model and system improvements.