Senior Machine Learning Engineer, SMB

Join us.

SMB engineering team is responsible for developing software to empower all small and medium businesses to succeed by building scalable platforms, seamless products and comprehensive solutions. In the next few years, while SMB revenue will be the significant portion of total ads business, as an engineering team, we also dedicate ourselves to solving challenging but interesting problems in a more scalable and innovative way through advanced software architecture, engineering practice and cutting-edge algorithms. At the same time, we closely work with strategies, data scientists, product managers, operations and sales teams. Diversity in skills, culture and background is our source of power.

We are looking for machine learning engineers who are passionate about innovating, creating and evolving scalable and reliable software, architecture and technical solutions to systematically and aggressively enable our SMB customers' success and grow our company's revenue. You will work on many different challenging problems, such as creative recommendation, ads delivery, personalized coupons, LLM-based customer support, etc.

Responsibilities:
- Design and implement core SMB platforms and features.
- Design series of experiments and iterations, engage with machine learning system architects and lead key components in architecture.
- Be the expert and go to person of architecture, technical stack and engineering practices in the team.
- Deliver with timeline. Manage owned project priorities, deadlines, deliverables, and quality. Responsible for the maintenance of delivered features and systems.
- Take open-ended problems, create solutions with constrictions and land smoothly.
- Develop, deploy, optimize, troubleshoot and operate large distributed systems
- Collaborate Crossfunctionally and globally.

Qualifications

Minimum Qualifications:
- Bachelor's degree in computer science or related technical discipline
- 5+ years of experience in software engineering. Strong Computer Science fundamentals (algorithms, data structures, software design) and problem-solving skills
- 4 years of experience with data structures or algorithms in either an academic or industrial setting.
- 4 years of experience with machine learning algorithms and tools (e.g., TensorFlow), artificial intelligence, deep learning and/or natural language processing.
- Proficiency and experience with designing, implementing and operating large scale distributed systems
- Ability to think critically and formulate solutions in a clear and concise way.
- Very strong teamwork skills (e.g. communication, ownership, empathy, honesty).
- Proven record of participating in or leading highly-scale software architectures and systems.
Preferred Qualifications:
- Have relevant experience in advertising, e-commerce and video industries.
- Master's degree or PhD in Electrical Engineering, Computer Science, or a related field.
- Knowledge of accelerators (e.g., Machine Learning or GPUs) or similar high-performance designs, advanced LLM architecture.
- Understanding of computer architecture/memory subsystem architecture.

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 tt.accommodations@tiktok.com

Job Information

[For Pay Transparency] Compensation Description (annually)

The base salary range for this position in the selected city is $177688 - $266000 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.