Tech Lead - Applied Machine Learning Algorithm

3 Hours ago • All levels

About the job

Summary_{By Outscal}

ByteDance seeks a Tech Lead for Applied Machine Learning, specializing in algorithms for recommendation systems, advertising, and multimodal pre-training. Must have proficiency in C/C++, deep learning frameworks (TensorFlow/PyTorch), and knowledge of deep learning algorithms. Experience with large-scale systems is a plus.

Responsibilities

Founded in 2012, ByteDance's mission is to inspire creativity and enrich life. With a suite of more than a dozen products, including TikTok and Helo as well as platforms specific to the China market, including Toutiao, Douyin, and Xigua, ByteDance has made it easier and more fun for people to connect with, consume, and create content. Why Join Us Creation is the core of ByteDance's purpose. Our products are built to help imaginations thrive. This is doubly true of the teams that make our innovations possible. Together, we inspire creativity and enrich life - a mission we aim towards achieving every day. To us, every challenge, no matter how ambiguous, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always. At ByteDance, we create together and grow together. That's how we drive impact - for ourselves, our company, and the users we serve. Join us. About the team: The Applied Machine Learning (AML) team serves as ByteDance's central AI organization. We conduct focused research and engineering, with the support of massive computation resources, to build and deploy state-of-the-art AI core technologies, including but not limited to LLM, recommendations, etc. Responsibilities: The mission of our AML team is to push the next-generation AI infrastructure and recommendation platform for the ads ranking, search ranking, and live & e-commerce ranking in our company. We also drive substantial impact on the core businesses of the company. 1. Participate in the application and optimization of machine learning algorithms in products such as Douyin (TikTok) and Toutiao. This includes areas such as recommendation systems, advertising, multimodal pre-training, and scientific computing, which require significant computational resources. 2. Collaborate closely with engineering teams to explore new algorithms under new architectures.

Qualifications

Minimum Qualifications 1. Proficiency in C/C++ programming skills with a solid foundation, excellent programming style, and work habits. 2. Familiarity with at least one mainstream deep learning programming framework (TensorFlow/PyTorch). 3. Knowledge of deep learning algorithms (CNN/RNN/LSTM/RL, large-scale Sparse&Dense models for recommendation and advertising, etc.). 4. Ability to independently solve problems, possess a strong sense of teamwork, and excellent communication skills. 5. Strong motivation, willingness to accept challenges, and innovative thinking. Preferred Qualifications 1. Familiarity with algorithm design in large-scale systems. 2. Practical project experience in recommendation systems, advertising, multimodal applications, or scientific computing. ByteDance 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 ByteDance, our mission is to inspire creativity and enrich life. 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. ByteDance Inc. 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 https://shorturl.at/cdpT2

Job Information

【For Pay Transparency】Compensation Description (annually)

The base salary range for this position in the selected city is $184300 - $389500 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.​
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.​