Algorithm Tech Lead Manager - Enterprise Solution RD (San Jose)

ByteDance; San Jose (CA); On-site; USD 254,000 - 480,000; Full time

Benefits offered by this job

Health insurance

401(k) plan with company match

Paid parental leave

Wellbeing benefits

Job summary

ByteDance is seeking an experienced algorithm leader to drive enterprise AI initiatives. The role focuses on implementing LLMs, AI agents, and end-to-end data pipelines for intelligent services and operations. You will collaborate with product teams and QA to improve efficiency and profitability.

Candidates should have strong ML knowledge across recommendation, NLP, or computer vision, plus 5+ years in research/development and 1+ year in team leadership. This is an on-site role in California.

Qualifications

• Bachelor's degree or above in computer science, statistics, or related fields.
• 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 recommendation, advertising, NLP, or computer vision.
• Proficiency in Java, Python, or Go and frameworks such as PyTorch, TensorFlow, or PaddlePaddle.
• Strong problem-solving and effective communication within teams.

Responsibilities

• Implement LLM, VLLM, and AI Agents in enterprise scenarios to improve service satisfaction, efficiency, and cost management.
• Design end-to-end data pipelines and algorithm applications for intelligent services and operations.
• Collaborate with product managers, business developers, and QA to boost project efficiency and profitability.
• Lead a team of algorithm engineers to deliver end-to-end data pipelines and algorithms.

Skills

Algorithm research

Team leadership

Problem solving

Communication

Education

Bachelor's degree in CS/Statistics or related fields

Tools

Java

Python

Go

PyTorch

TensorFlow

PaddlePaddle

Job description

Responsibilities

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.

Qualifications

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.

About Us

Founded in 2012, ByteDance's mission is to inspire creativity and enrich life. With a suite of more than a dozen products, including TikTok, Lemon8, CapCut and Pico 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 ByteDance

Inspiring creativity is at the core of ByteDance's mission. Our innovative products are built to help people authentically express themselves, discover and connect – and our global, diverse teams make that possible. Together, we create value for our communities, inspire creativity and enrich life - a mission we work towards every day.

As ByteDancers, we strive to do great things with great people. We lead with curiosity, humility, and a desire to make impact in a rapidly growing tech company. By constantly iterating and fostering an \"Always Day 1\" mindset, we achieve meaningful breakthroughs for ourselves, our Company, and our users. When we create and grow together, the possibilities are limitless. Join us.

Diversity & Inclusion

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.

Reasonable Accommodation

ByteDance 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://tinyurl.com/RA-request

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.