Expertini Resume Scoring: Our Semantic Matching Algorithm evaluates your CV/Résumé before you apply for this job role.

Get Resume Score

United States Jobs Expertini

Senior Machine Learning Engineer (Multiple Positions) Job Opening In Seattle – Now Hiring TikTok

Senior Machine Learning Engineer (Multiple Positions)

Job description

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 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.

About the Team
Our 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! Responsibilities
Formulate real-world user data modeling in statistical learning problems.

Work across the full machine learning (ML) modeling lifecycle, including data preparation, feature engineering, hyperparameter tuning and evaluation, and model selection based on different modeling scenarios to develop, build, and optimize the performance of large and highly scalable ML systems, algorithms, strategies, models and/or infrastructures.
Design and execute user procedure experiments, tests, and significance analyses by applying statistical test theories to optimize user experience.
Build and train ML, deep learning models and their variants to analyze and predict user behavior metrics and treatment effects with ML frameworks.
Use big data frameworks and analytics tools to aggregate, collate, and analyze experiment data.
Research and design ML models to optimize our systems, features, algorithms, and product strategies.
Collaborate with strategy team, product managers, policy team and other key stakeholders to assist in defining product features and strategy and driving initiatives from ML engineering viewpoint.
Mentor junior Machine Learning Engineers and interns.

Qualifications
Must have a Master's degree or foreign equivalent degree in Computer Science, Engineering (any), Information Systems, Machine Learning, Data Science, Statistics, Mathematics, or a related field, and 2 years of related work experience; OR a Bachelor's degree or foreign equivalent degree in Computer Science, Engineering (any), Information Systems, Machine Learning, Data Science, Statistics, Mathematics, or a related 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 a Linux environment;
Developing and deploying large-scale machine learning systems; and
Utilizing Big data framework Spark, Hadoop, or Flink.

Travel Requirement: International travel required up to 10%.

Type: Full time, 40 hours/week
Location: Bellevue, WA
Salary Range: $183581 - $341734 per year To Apply, click the apply button below.

Contact if you have difficulty submitting resume through the website.

Required Skill Profession

Computer Occupations