Data Lake Infrastructure & Data Analytics Research Engineer Graduate (AML-Ark-US) - 2027 Start

We are building full-stack, end-to-end solutions spanning text and multimodal LLM algorithms, LLM training/fine-tuning/inference frameworks, prompt engineering, model alignment, and intelligent agent systems. Beyond model serving, we operate large-scale log analytics pipelines that process massive volumes of invocation logs from text models, multimodal models, and agent systems — extracting usage patterns, quality signals, and actionable insights to inform model improvement, system optimization, and product decisions through continuous, data-driven feedback loops.

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.

Qualifications

Minimum Qualifications

• Individuals who are completing or have recently completed a Bachelor's/ Master's in Computer Science, Software Engineering, Data Science, or a 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.

Preferred Qualifications

• Understanding of query engine and lakehouse internals, including columnar storage and query optimization.
• Experience with streaming pipelines or OLAP systems.
• Experience analyzing LLM or agent logs and traces.
• Experience with cloud-native infrastructure and performance tuning at scale.

Pay

The base salary range for this position in the selected city is $121,600 - $243,200 annually. Compensation may vary outside of this range depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience, and location. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units.

Benefits

• Day one access to medical, dental, and vision insurance.
• 401(k) savings plan with company match.
• Paid parental leave.
• Short-term and long-term disability coverage.
• Life insurance.
• Wellbeing benefits.
• 10 paid holidays per year.
• 10 paid sick days per year.
• 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure).

About Us

Founded in 2012, ByteDance's mission is to inspire creativity and enrich life. With a suite of more than a dozen products, including TikTok, Lemon8, CapCut and Pico as well as platforms specific to the China market, including Toutiao, Douyin, and Xigua, ByteDance has made it easier and more fun for people to connect with, consume, and create content.

Why Join ByteDance

Inspiring creativity is at the core of ByteDance's mission. Our innovative products are built to help people authentically express themselves, discover and connect — and our global, diverse teams make that possible. Together, we create value for our communities, inspire creativity and enrich life - a mission we work towards every day.

As ByteDancers, we strive to do great things with great people. We lead with curiosity, humility, and a desire to make impact in a rapidly growing tech company. By constantly iterating and fostering an "Always Day 1" mindset, we achieve meaningful breakthroughs for ourselves, our Company, and our users. When we create and grow together, the possibilities are limitless.