Responsibilities
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 its offices include New York, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.
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
- Collaborate with cross-functional teams, including data scientists, product managers, and software engineers, to understand requirements and integrate Machine Learning (ML) solutions into our platform.
- Research and develop ML models and algorithms to enhance search recommendation systems.
- Analyze user behavior data to identify patterns and trends that can improve search recommendation accuracy.
- Continuously optimize and fine-tune algorithms based on user feedback and performance metrics.
- Conduct experiments and A / B testing to evaluate the effectiveness of different search recommendation strategies.
- Stay up to date with the latest advancements in ML and recommend innovative approaches to improve our search recommendation systems.
- Ensure the scalability, reliability, and efficiency of the ML infrastructure supporting search recommendation functionalities.
- Collaborate with data engineers to design and maintain data pipelines for processing large-scale datasets.
- Mentor junior level engineers and interns.
Qualifications
Qualifications
Must have a Master's 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 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 and deploying large-scale machine learning systems; and
- Utilizing Hive, Spark, Hadoop, or Flink.
Type : Full time, 40 hours / week
Location : San Jose, CA
Salary Range : $194000 to $355000 per year
To Apply, click the apply button below. Contact redacted if you have difficulty submitting resume through the website.
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 lpresumes redacted
LI-DNI
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