Machine Learning Engineer - Applied AI (DCC)

Responsibilities

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.

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.

About the team
The Applied AI (AAI) Team is a data science team that is part of the Monetization Integrity team in the Global Business Solutions of TikTok. It supports the Data Cycling Center, which focuses on empowering businesses with affordable and trusted data & models.

Responsibilities:

1. Model optimization: collaborate with data scientists to improve existing machine learning model training and evaluation pipelines, optimize the model training pipeline speed for faster iteration.
2. Model Deployment: optimize the model inferencing performance through quantization and model conversion, define and leverage appropriate resources for model hosting and inferencing.
3. Inference Pipeline product prioritization: work with data scientists and data engineers to design and implement the data pipelines for machine learning models that will support the current and future needs of our business.
4. Service Deployment: build continuous integration, testing, and scalable deployment pipelines in cloud computing environments for machine learning services.
5. Tracking: build logging, tracking, analyzing, monitoring, and reporting pipelines for both data and model tracking in cloud computing environments to ensure correct model output and stable model performance.
6. Maintenance: build scalable and reliable infrastructure that supports feature engineering, model training, deployment, inferencing, performance monitoring.

Qualifications
Minimum Qualifications:

1. BS or above in Computer Science, Software Engineering, Data Science, or a related field.
2. 2 years of industry experience building ML infrastructure at scale.
3. 1 year of experience in developing and deploying large-scale systems, version control, scaling and monitoring.
4. Experience in Machine Learning frameworks (scikit-learn, Tensorflow, Pytorch), big data frameworks (Spark/Hadoop/Flink), and experience in resource management and task scheduling for large-scale distributed systems.
5. Proficient in Python/SQL and of C++/Go, with deep knowledge of Linux and CD tools (e.g. Git).
6. Good communication and teamwork skills to communicate technical concepts with other teammates.

Preferred Qualifications:

1. Familiar with the application of related algorithms in data mining, search recommendation, content understanding, and governance risk control preferred.
2. Familiar with big data tools such as Hive, Spark, Hadoop preferred.

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 Information:
Compensation Description (annually)

The base salary range for this position in the selected city is $128600 - $290000 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:

We cover 100% premium coverage for employee medical insurance, approximately 75% premium coverage for dependents and offer a Health Savings Account(HSA) with a company match. As well as Dental, Vision, Short/Long term Disability, Basic Life, Voluntary Life and AD&D insurance plans. In addition to Flexible Spending Account(FSA) Options like Health Care, Limited Purpose and Dependent Care.

Our time off and leave plans are: 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.

We also provide generous benefits like 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.

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