Senior Machine Learning Engineer, Global E-Commerce – Recommendation (Multiple Positions)

TikTok; Seattle (WA); On-site; USD 242,000 - 456,000; Full time

Job summary

TikTok is seeking a Senior Machine Learning Engineer for the Global E-Commerce – Recommendation team in the Seattle area with regular/full-time employment. The role focuses on building and optimizing large-scale recommendation systems powering TikTok's global shopping ecosystem.

Responsibilities include developing ML models, conducting experiments, and collaborating with cross-functional teams to align product strategy with engineering solutions. Travel up to 25% may be required.

Qualifications

• Master’s degree or foreign equivalent in a quantitative field with 2 years of related experience, OR a Bachelor’s with 5 years of post-bachelor’s experience.
• 2 years in Python or C++, ML model training/deployment, Linux development, data-driven prediction models, and Spark/Hadoop/Flink usage.

Responsibilities

• Design and optimize advanced recommendation systems for global e-commerce.
• Balance user experience, ecosystem health, and business goals via algorithmic solutions.
• Formulate and test real-world data models and run significance analyses.
• Research ML models to improve systems, features, and product strategies.
• Mentor junior ML engineers and interns.

Skills

Python

C++

PyTorch

TensorFlow

Linux

Big data

Education

Master’s degree in CS/Engineering/Data Science

Bachelor’s degree with 5 years experience

Tools

Spark

Hadoop

Flink

Job description

Senior Machine Learning Engineer, Global E-Commerce – Recommendation (Multiple Positions)

Location:

Seattle

Employment Type:

Regular

Job Code:

A99719

Share this listing:

Responsibilities

About TikTokTikTok 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 UsInspiring 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.About the TeamOur team plays a crucial role in ensuring the company’s success. We seek people who are willing to learn and put in the effort to solve problems. Our challenges are not your regular day-to-day problems - you’ll be part of a team that’s developing new solutions to new challenges. It’s working fast, at scale, and we’re making a difference. We are looking for talents to join us on this exciting journey!ResponsibilitiesDesign, develop, and optimize the advanced recommendation systems that power the global e-commerce ecosystem.Balance user experience, ecosystem health, and business objectives through algorithmic solutions to build a healthy, sustainable e-commerce content ecosystem.Formulate real-world user data modeling in statistical learning problems.Design and execute user procedure experiments, tests, and significance analyses by applying statistical test theories to optimize user experience.Research and design ML models to optimize systems, features, algorithms, and product strategies.Collaborate with key stakeholders and cross-functional teams to define product strategy and features, and to assist in defining products and driving initiatives from a ML engineering viewpoint.Mentor junior Machine Learning Engineers and interns.

Qualifications

QualificationsMust have a Master’s degree or foreign equivalent degree in Computer Science, Engineering (any), Information Technology, Machine Learning, Data Science, Statistics, Mathematics, or a related quantitative field, and 2 years of related work experience; OR a Bachelor's degree or foreign equivalent degree in Computer Science, Engineering (any), Information Technology, Machine Learning, Data Science, Statistics, Mathematics, or a related quantitative field, and 5 years of post-bachelor’s, progressive related work experience.Of the required experience, must have 2 years of experience in each of the following:Coding using Python or C++;Optimizing, training, and deploying machine learning and deep learning models using PyTorch or TensorFlow;Developing code and identifying issues in Linux environment;Developing data-driven prediction models using classic statistical methods, machine learning, and neural network/deep learning; andUtilizing Big data framework Spark, Hadoop, or Flink.Travel Requirement: International travel required up to 25%.Type: Full time, 40 hours/weekLocation: Bellevue, WA Salary Range: $241680 - $456000 per year

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 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 https://tinyurl.com/RA-request#IND-DNI

Job Information

The base salary range for this position in the selected city is $241680 - $456000 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.

Ready for a career

at TikTok?

Discover a career that energizes and excites you every day.