Senior Software Engineer, Ranking Engineering

  • San Jose, CA
  • Posted 21 hours ago | Updated 9 hours ago

Overview

On Site
USD 194,000.00 - 355,000.00 per year
Full Time

Skills

User Experience
Real-time
Collaboration
CPU
GPU
SAN
Software Design
Reliability Engineering
Computer Science
Electrical Engineering
C++
Python
Distributed Computing
Algorithms
Performance Tuning
Machine Learning (ML)
Lifecycle Management
A/B Testing
Multithreading
Insurance
Life Insurance
Management
Information Technology
Video
LOS
Recruiting

Job Details

Location :

San Jose

Employment Type :

Regular

Job Code :

A174731A

Apply to this job

Share this listing:

Responsibilities

About The Team TikTok's recommendation system is at the core of our user experience, delivering personalized content to millions of users in real time. Our Recommendation Architecture Team is responsible for building up and optimizing the architecture for our recommendation system to provide the most stable and best experience for our TikTok users. What you will be doing: - Architect, build, and optimize large-scale ranking systems that serve billions of daily recommendations with low latency and high precision. - Design flexible, efficient, and scalable ranking frameworks to support evolving machine learning models and features. - Collaborate with ML engineers to integrate ranking models into production, ensuring seamless inference, freshness, and feedback loops. - Analyze system bottlenecks and apply performance optimizations at the framework and infrastructure level (CPU/GPU, memory, storage, networking). - Drive technical excellence and best practices in software design, code quality, and system reliability.

Qualifications

Minimum Qualifications: - Bachelor's or Master's degree in Computer Science, Electrical Engineering, or a related technical field. - Experience in building large-scale recommendation, ranking, or search systems. - Experience in C++, Go, or Python, and with distributed computing frameworks. - Solid understanding of ranking algorithms, machine learning inference systems, and system performance optimization. Preferred Qualifications: - Experience in machine learning platform infrastructure, particularly online prediction serving or ranking pipelines. - Familiarity with feature engineering pipelines, model lifecycle management, and A/B testing systems. - Experience working with multi-threading, memory management, and low-latency service architectures. - Proven ability to lead complex projects across multiple teams and stakeholders.

Job Information

[For Pay Transparency]Compensation Description (Annually)

The base salary range for this position in the selected city is $194000 - $355000 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.

For Los Angeles County (unincorporated) Candidates:

Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment:

1. Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues;

2. Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and

3. Exercising sound judgment.

About TikTok

TikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and we also have offices in New York City, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.

Why Join Us

Inspiring creativity is at the core of TikTok's mission. Our innovative product is 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 bring joy - a mission we work towards every day.

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. Every challenge is an opportunity to learn and innovate as one team. We're resilient and embrace challenges as they come. 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. Join us.

Diversity & Inclusion

TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.

TikTok Accommodation

TikTok is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at

Apply to this job
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.