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Machine Learning Engineer

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 Build a full-stack search engine system and combine information retrieval technology with modern machine learning (ML) methods from related fields such as NLP, Computer Vision, Multimodal, and Recommender Systems. Utilize modern machine learning, NLP and Multimodal techniques to improve the search ranking algorithms, including query understanding, video understanding and various levels of result ranking. Design and implement tools to analyze the ML model's performance. Optimize the searching quality to provide TikTok's users the best search experience. Optimize performance of ML system. Improve use-ability and flexibility of the ML infrastructure.Qualifications Must have a Bachelor's degree in Computer Science, Engineering (any), Information Technology, Machine Learning, Data Science, Data Analytics, Statistics, Mathematics, or a related quantitative field, and 2 years of related work experience. Of the required experience, must have 1 year 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 Big data framework Spark, Hadoop, or Flink. Type: Full time, 40 hours/week Location: San Jose, CA Salary Range: $145000 - $250000 per year To Apply, click the apply button below. Contact lpresumes@tiktok.com 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@TikTok.com. #LI-DNI #IND-DNI
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Shou Zi Chew
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Our mission is to inspire creativity and bring joy.

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Badge Flexible CultureBadge Future MakerBadge Global CitizenBadge InnovatorBadge Rapid Growth
CULTURE VALUES
Inclusive & Diverse
Rise from Within
Mission Driven
Diversity of Opinions
Work/Life Harmony
Take Risks
Casual Dress Code
Startup Mindset
Emails over Meetings
Collaboration over Competition
Fast-Paced
Growth & Learning
BENEFITS & PERKS
Medical Insurance
Paid Time-Off
Maternity Leave
Mental Health Resources
Equity
Mixe-Ability Accomodations
Work Visa Sponsorship
Commuter Benefits
Employee Resource Groups
Performance Bonus
Health Savings Account (HSA)
Flexible Spending Account (FSA)
FUNDING
DEPARTMENTS
SENIORITY LEVEL REQUIREMENT
TEAM SIZE
EMPLOYMENT TYPE
Full-time, on-site
DATE POSTED
July 12, 2024

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