Responsibilities
Make sure to apply with all the requested information, as laid out in the job overview below.
TikTok is the leading destination for short-form mobile video. Our mission is to inspire creativity and bring joy. TikTok has global offices including Los Angeles, New York, London, Paris, Berlin, Dubai, Singapore, Jakarta, Seoul and Tokyo.
We're looking for innovative Machine Learning Engineers to join our TikTok Ads Core-Ranking team. Ads Core is a mid-platform team that develops state-of-art ad technologies, including ranking, targeting, bidding, auction, etc.
You will be part of the Ranking team that is optimizing ads format and ranking model & strategies, including recall & rough-sort, fine-sort, format personalization and system framework, and you will be directly responsible for bringing a more advanced advertising delivery system and better return on investment for advertisers.
What You'll Do :
- Own key ranking & format components or strategies in the TikTok ads monetization ecosystem.
- Research & develop state-of-the-art model and strategy to increase overall TikTok ads revenue.
- Design & set up system framework and standard to continuously improve overall efficiency and meet different vertical business needs.
- Work with product and business teams on the product vision.
Qualifications
Minimum Qualifications :
- BS / MS degree in Computer Science, Statistics, Operation Research, Applied Mathematics, Physics or similar quantitative fields, with 3+ years of related experience.
- Hands-on experience in one or more of the following areas : machine learning, deep learning, statistical models, and applied mathematical methods.
- Solid programming skills, proficient in C / C++ and Python. Familiar with basic data structure and algorithms. Familiar with Linux development environment.
- Familiarity with online experimentation and analytics.
- Familiarity with big data systems including Hadoop and Spark.
- Familiar with architecture and implementation of at least one mainstream machine learning programming framework (TensorFlow / Pytorch / MXNet).
- Curiosity towards new technologies and entrepreneurship.
Preferred Qualifications :
- Experience in reinforcement learning, transfer learning, and counter-factual optimization is a plus.
- Understanding of the business value of online advertising.
- Experience in LLM is a plus.
- Paper publication in NLP / CV / recommendation system (RecSys / KDD / NIPs... etc).
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.
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 [email protected]
Job Information :
Compensation Description (annually)
The base salary range for this position in the selected city is $145000 - $250000 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.
Our company benefits are designed to convey company culture and values, to create an efficient and inspiring work environment, and to support our employees to give their best in both work and life.
We offer the following benefits to eligible employees :
- 100% premium coverage for employee medical insurance, approximately 75% premium coverage for dependents and offer a Health Savings Account (HSA) with a company match.
- Dental, Vision, Short / Long term Disability, Basic Life, Voluntary Life and AD&D insurance plans.
- 10 paid holidays per year plus 17 days of Paid Personal Time Off (PPTO) (prorated upon hire and increased by tenure) and 10 paid sick days per year as well as 12 weeks of paid Parental leave and 8 weeks of paid Supplemental Disability.
- Mental and emotional health benefits through our EAP and Lyra.
- A 401K company match, gym and cellphone service reimbursements.
The Company reserves the right to modify or change these benefits programs at any time, with or without notice.
J-18808-Ljbffr
Staff Machine Learning Engineer, Ads Ranking
You will work on tackling new challenges in Ads Ranking, such as user sequence modeling, large models, embedding features, model quantization, utility alignment, application of LLM and multi-modal models, as well as domain-specific challenges like next-gen lightweight ranking beyond two-tower archit...
Senior Machine Learning Engineer, NLP / LLM Product in Recommendation & Algorithm
The team is made up of machine learning researchers and engineers, who support and innovate on production recommendation models and drive product impact. Creation is the core of TikTok's purpose. Design end-to-end machine learning products with a strong product mindset and cross-functional ability. ...
Software Engineer III, Machine Learning, Core
TensorFlow), artificial intelligence, deep learning and/or natural language processing. Proficiency in code and system health, diagnosis and resolution, and software test engineering. Google's software engineers develop the next-generation technologies that change how billions of users connect, expl...
Machine Learning Engineer - Machine Learning Infrastructure
We are looking for a Machine Learning Engineer - Machine Learning Infrastructure to join our team to support and advance that mission. The mission of our AML team is to push the next-generation AI infrastructure and recommendation platform for the ads ranking, search ranking, live & ecom ranking...
Staff Machine Learning Compiler Engineer, Compute
Knowledge of the principles behind popular machine learning and neural network algorithms and applications. The Waymo Driver has provided over one million rider-only trips, enabled by its experience autonomously driving tens of millions of miles on public roads and tens of billions in simulation acr...
Machine Learning Engineer, Large Language Model&Generative AI
Experience in one or more of the following areas: NLP, Ranking, Ads, search engine, recommender system, distributed system, and machine learning;. TikTok is the leading destination for short-form mobile video. TikTok has global offices including Los Angeles, New York, London, Paris, Berlin, Dubai, S...
AIML - ML Engineer, Machine Learning Platform & Infra
Foundation Model Infrastructure team, within Machine Learning Platform Technologies organization is the back-bone of Apple Intelligence. Mentor and guide engineers in the organization. Familiar with fundamental Deep Learning architectures such as Transformers, Encoder/Decoder models. ...
Machine Learning Engineer
Strong experience and understanding of modifying and applying supervised/un-supervised machine learning algorithms on visual data. Strong understanding of machine learning, should be proficient at data analysis, training evaluation and fine-tuning. Proven experience on developing deep learning model...
Staff Machine Learning Engineer
We are seeking a seasoned and highly experienced Staff Machine Learning Platform Engineer to join our team. Zscaler’s purpose-built security platform puts a company’s defenses and controls where the connections occur—the internet—so that every connection is fast and secure, no matter how or where us...
Staff Planning Machine Learning Engineer
MS or PhD level education in Engineering or Computer Science with a focus on Deep Learning, Artificial Intelligence, or a related field, or equivalent experience. We are looking for DL engineers with strong ML/DL system design skills and software development skills. In this role, you will research, ...