Machine Learning Engineer - NLP, TikTok Business Integrity
This job is no longer available.
Responsibilities
Our Business Integrity team has a strong user focus and a dedication to technical excellence. We aim to meet our users' needs with reliable and high-performing platforms and services.
We use AIGC large model, deep learning, machine learning and other technologies to establish a safe and trusted connection between billions of active users and the company's commercial products (advertising, e-commerce, live broadcast, etc.). By building a highly concurrent and highly reliable risk control system, we can perceive and deal with the risks of commercial products in real time. By building an end-to-end deep learning model and machine learning system, we can understand the content of commercial products and automatically review tens of millions of content in a short time.
We are a technical team distributed in Beijing, the Bay Area of the United States, Singapore and other places. We sincerely invite you to join us and build the most advanced risk control system in the industry.
Responsibilities:
1. Responsible for understanding content of advertisements, including titles, images, videos, OCR texts, ASR texts, etc.
2. Responsible for the construction of models, such as AIGC model, semantic matching model, classification model, etc.
3. Responsible for the construction of text-related strategies, including keyword mining, rule mining, etc.
4. Participate in basic NLP capacity building, such as long/short text classification, seq2seq, NER, keyword mining, attention mechanism and other related technologies.
Qualifications
Minimum Qualifications
1. Excellent algorithm foundation and programming ability, familiar with mainstream programming languages such as python/c++.
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2. Familiar with NLP-related tasks, and have practical experience and technical accumulation in one or more fields of NLP.
3. Familiar with the theory of deep learning and machine learning, such as Bert, Transformer, Electra, LSTM, LR, SVM, HMM, CRF, Decision Tree, Random Forest, etc.
4. Familiar with model training frameworks, such as tensorflow, pytorch, mxnet, etc.
5. Bachelor's degree or above, majoring in Computer Science, Computer Engineering, Electrical Engineering, or other related fields.
6. Have excellent analytical and problem-solving skills, logical thinking skills, communication and collaboration skills. Maintain curiosity about new things, and have a strong sense of responsibility, integrity and reliability.
7. Experience in AIGC models is preferred.
Job Information
[For Pay Transparency] Compensation Description (annually)
The base salary range for this position in the selected city is $136800 - $359720 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.
Benefits may vary depending on the nature of employment and the country work location. Employees have day one access to medical, dental, and vision insurance, a 401(k) savings plan with company match, paid parental leave, short-term and long-term disability coverage, life insurance, wellbeing benefits, among others. Employees also receive 10 paid holidays per year, 10 paid sick days per year and 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure).
The Company reserves the right to modify or change these benefits programs at any time, with or without notice.
For Los Angeles County (unincorporated) Candidates:
Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment:
1. Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues;
2. Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and
3. Exercising sound judgment.
Perks and Benefits
Health and Wellness
- Health Insurance
- Dental Insurance
- Vision Insurance
- HSA
- Life Insurance
- Fitness Subsidies
- Short-Term Disability
- Long-Term Disability
- On-Site Gym
- Mental Health Benefits
- Virtual Fitness Classes
Parental Benefits
- Fertility Benefits
- Adoption Assistance Program
- Family Support Resources
Work Flexibility
- Flexible Work Hours
- Hybrid Work Opportunities
Office Life and Perks
- Casual Dress
- Snacks
- Pet-friendly Office
- Happy Hours
- Some Meals Provided
- Company Outings
- On-Site Cafeteria
- Holiday Events
Vacation and Time Off
- Paid Vacation
- Paid Holidays
- Personal/Sick Days
- Leave of Absence
Financial and Retirement
- 401(K) With Company Matching
- Performance Bonus
- Company Equity
Professional Development
- Promote From Within
- Access to Online Courses
- Leadership Training Program
- Associate or Rotational Training Program
- Mentor Program
Diversity and Inclusion
- Diversity, Equity, and Inclusion Program
- Employee Resource Groups (ERG)
Company Videos
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