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Software Engineer - Large Vision Model Systems
Software Engineer - Large Vision Model SystemsTik Tok • San Jose, CA, United States
Software Engineer - Large Vision Model Systems

Software Engineer - Large Vision Model Systems

Tik Tok • San Jose, CA, United States
6 days ago
Job type
  • Full-time
Job description

Responsibilities

Team Introduction The Intelligent Creation - AI Platform team is a team focusing on building advanced end-to-end AI production pipelines, including deep learning model training, optimization, deployment and applications. We provide AI capabilities to empower content creation and consumption on TikTok and serve billions of users. The team is looking for strong software engineers who can take initiatives to design and implement highly efficient engineering systems for generative AI tasks, including but not limited to model training and optimization, model deployment with efficient hardware consumption, and applications such as image / video processing and interactive editing. Responsibilities - Design, architect, and implement large-scale distributed systems that power vision and generative AI models for TikTok products. - Develop automation frameworks and tools to enhance engineering efficiency, reliability, and scalability. - Lead end-to-end project planning and execution, driving the overall success of product delivery. - Collaborate with product teams to build and scale large vision and generative AI systems, delivering cutting-edge AIGC capabilities to TikTok products.

Qualifications

Minimum Qualifications - B.S. / M.S. / Ph.D. in Computer Science or related fields with 5+ years of software development experience. - 5+ years of Python / C / C++ / Go experience, proficient in at least one programming language and solid software engineering design skills. - Experience in building large-scale service systems or model serving platforms with deep learning components, familiar with RPC frameworks, high-concurrency systems, and distributed architectures. - Hands-on experience with model inference, optimization, and deployment pipelines, ensuring low latency, scalability, and reliability in production environments. - Familiar with transformer-based and diffusion-based generative models, and understanding of large vision or multimodal foundation model systems. Preferred Qualifications - Experience in optimizing deep learning model training, tuning and deployment. - Knowledge in cutting-edge computer vision and deep learning technologies and follow the most recent research advances. - Excellent communication and teamwork skills.

Job Information

[For Pay Transparency]Compensation Description (Annually)

The base salary range for this position in the selected city is $118657 - $259200 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.

About TikTok

TikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and we also have offices in New York City, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.

Why Join Us

Inspiring creativity is at the core of TikTok's mission. Our innovative product is 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 bring joy - a mission we work towards every day.

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. Every challenge is an opportunity to learn and innovate as one team. We're resilient and embrace challenges as they come. 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

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 Accommodation

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

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Software Engineer • San Jose, CA, United States

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