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

ByteDance

$162K — $316K *
Information Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • PhD (or nearing completion) in Computer Science, Software Engineering, Data Science, or related field.
  • Strong foundation in data structures, algorithms, and distributed systems.
  • Proficient in at least one mainstream programming language and SQL.
  • Experience with big data engines or lakehouse storage systems.
  • Proven track record through significant projects, internships, or open-source contributions.

Responsibilities

  • Build and maintain a data lake for model development focusing on storage design and cost efficiency.
  • Develop batch and streaming pipelines for transforming raw logs into analysis-ready datasets.
  • Create analytics platforms enabling quick access to insights for algorithm and product teams.
  • Ensure data quality and governance, collaborating with algorithm teams to enhance system performance.

Benefits

  • Day one access to medical, dental, and vision insurance.
  • 401(k) savings plan with company match.
  • Paid parental leave and short-term/long-term disability coverage.
  • Life insurance and wellbeing benefits.
  • 10 paid holidays and 10 paid sick days per year.
  • 17 days of Paid Personal Time annually (prorated upon hire).
Full Job Description
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. Qualification Minimum Qualifications: - Individuals who are completing or have recently completed a PhD'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. Job Information 【For Pay Transparency】Compensation Description (Annually) The base salary range for this position in the selected city is $162000 - $316800 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 may vary depending on the nature of employment and the country work location. Employees have day one access to medical, dental, and vision insurance, a 401(k) savings plan with company match, paid parental leave, short-term and long-term disability coverage, life insurance, wellbeing benefits, among others. Employees also receive 10 paid holidays per year, 10 paid sick days per year and 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure). The Company reserves the right to modify or change these benefits programs at any time, with or without notice.

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