Responsibilitie
We support the R&D needs of ByteDance's enterprise-level network, systems, terminals, assets, service desk, audio and video, office management, and other multi-business scenarios. We aim to create commercial enterprise solutions and products that meet industry standards, leveraging big data and AI technologies to promote more automated and intelligent enterprise service construction. And, you are responsible for: 1. Implement LLM, VLLM, and AI Agent in business scenarios such as intelligent knowledge recommendations, intelligent office services, and AI Copilot to achieve business success. Develop appropriate algorithms and strategies for different business scenarios to address issues related to improving enterprise service satisfaction, efficiency, quality assurance, and cost management. 2. Design and implement end-to-end data pipelines and algorithm applications to help solve challenges in enterprise-level intelligent services and intelligent operation and maintenance scenarios. 3. Participate deeply in product development projects, closely collaborating with product managers, business developers, and business QA to enhance overall project efficiency and profitability. 4. Lead a team of algorithm engineers to design and implement end-to-end data pipelines and algorithmic applications, addressing challenges in enterprise-level intelligent services and intelligent operations scenarios.
Qualification
Minimum Qualifications: - Bachelor's degree or above in computer science, statistics, or related fields, with 5 years of experience in algorithm research or development. - At least 1 year of experience in team management. - Knowledge of common deep learning algorithms in one or more of the following areas: recommendation systems, advertising systems, natural language processing, and computer vision. - Proficiency in at least one programming language: Java, Python, Go. Familiarity with at least one mainstream framework: Pytorch, TensorFlow, PaddlePaddle. - Independent problem-solving skills, strong team cooperation awareness, and good communication abilities. Preferred Qualifications: - Successful experience in fine-tuning LLM and implementing AI Agents, familiarity with algorithm model development tasks, and extensive practical business experience. - Strong ability to model business problems into algorithmic models, with keen technical curiosity, self-drive, and ambition, and the ability to stay updated and learn industry best practices in a timely manner. - Understanding of the software development process with strong engineering capabilities, with a preference for those knowledgeable in design patterns and microservice architecture.
Job Information
【For Pay Transparency】Compensation Description (Annually)
The base salary range for this position in the selected city is $254400 - $480000 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.
