Lead Machine Learning Engineer – USDS (Multiple Positions) Full-time

Responsibilities

About TikTok U.S. Data Security
TikTok is the leading destination for short-form mobile video. Our mission is to inspire creativity and bring joy. U.S. Data Security (“USDS”) is a subsidiary of TikTok in the U.S. This new, security-first division was created to bring heightened focus and governance to our data protection policies and content assurance protocols to keep U.S. users safe. Our focus is on providing oversight and protection of the TikTok platform and U.S. user data, so millions of Americans can continue turning to TikTok to learn something new, earn a living, express themselves creatively, or be entertained. The teams within USDS that deliver on this
commitment daily span across Trust & Safety, Security & Privacy, Engineering, User & Product Ops, Corporate Functions and more.

Why Join Us
Creation is the core of TikTok’s purpose. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible.
Together, we inspire creativity and bring joy – a mission we all believe in and aim towards achieving every day.
To us, every challenge, no matter how difficult, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always.
At TikTok, we create together and grow together. That’s how we drive impact – for ourselves, our company, and the communities we serve.
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
– Analyze user behavior and apply machine learning (ML) algorithms to optimize content consumption and production experience by understanding product objectives and ML techniques to improve model and recommendation strategy.
– Design and apply ML algorithm and recommendation strategies to improve users’ experience on platform and content, including videos and livestreams.
– Build industry leading recommendation system, and develop highly scalable classifiers and tools leveraging ML.
– Build full-stack search engine system and combine information retrieval technology with modern ML methods from related fields such as natural language processing (NLP), Computer Vision (CV), and recommender system.
– Work on highly scalable classifiers, predictive models and algorithms in big data mining, CV, NLP, and other domains.
– Work with engineering teams to implement model pipeline and deploy services at scale.
– Conduct offline and online experiments, analyze data accordingly and evaluate to improve algorithms and strategies.
– Work with Data Engineers, Data Analysts, Product and other engineers to deliver features to drive the user growth of products.
– Build the core systems and algorithms development including query understanding, result ranking, query recommendation, and system reliability.
– Partner with product managers and product strategy and operation team to define product strategy and features.
– Collaborate with strategy team, product managers, policy team and other key stakeholders to define products and drive initiatives from engineering viewpoint.
– Work with large, complex data sets to solve difficult, non-routine analysis problems by applying advanced analytical methods as needed.

Qualifications

Must have a Master’s degree in Computer Science, Engineering (any), Information Technology, Transportation Systems, Logistics, Operations Research, Machine Learning, Data Science, Statistics, Mathematics, or a related quantitative field, and 4 years of related work experience; OR a Bachelor’s degree in Computer Science, Engineering (any), Information Technology,
Transportation Systems, Logistics, Operations Research, Machine Learning, Data Science, Statistics, Mathematics, or a related quantitative field, and 6 years of related work experience, out of which 5 years must be post-bachelor’s, progressive related work experience.

Of the required experience, must have 4 years of experience in each of the following:
– Using SQL and Spark to perform large-scale dataset analysis, including statistical, user behavior, probability distribution, and time series analyses; and
– Coding using Python or C++.

Of the required experience, must have 3 years of experience in each of the following:
– Building end-to-end model training pipelines using Python and Hadoop MapReduce, and training large-scale models using deep learning and machine learning;
– Researching, testing and productionizing state-of-the-art deep learning models and methods;
– Developing data-driven prediction models using classic statistical methods, machine learning, and neural network/deep learning; and
– Programming using Python and PyTorch to build large-scale learning systems.

Employer: TikTok U.S. Data Security Inc.
Type: Full time, 40 hours/week
Location:Mountain View, CA

Salary Range: $295194 – $410000 per year

To Apply, click the apply button below. Contact lpresumes@tiktokusds.com if you have difficulty submitting resume through the website.

TikTok U.S. Data Security 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 U.S. Data Security, 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 U.S. Data Security 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 lpresumes@tiktokusds.com

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