Senior Software Engineer - AI/LLM Security Applications

San Jose

ByteDance

ByteDance is a technology company operating a range of content platforms that inform, educate, entertain and inspire people across languages, cultures and geographies.

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Responsibilities

About ByteDance
Founded in 2012, ByteDance's mission is to inspire creativity and enrich life. With a suite of more than a dozen products, including TikTok 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 Security Engineering team is a research and development (R&D) team that operates within the broader Security and Risk Control Organization. Their core responsibility is to construct, implement, and sustain secure infrastructures, platforms, and technologies. In addition, they provide support to cross-functional teams within the organization. The team's ultimate objective is to serve and safeguard ByteDance products and infrastructures on a global scale.

Responsibilities:
- Explore and build cutting-edge security technologies for LLM, large-scale models, advanced data security, network security, and secure operations in the AI era.
- Deep dive into the technical stack of large models (such as query understanding, RAG retrieval-augmented generation, Agent intelligence, model training, etc.) to enhance vertical domain application effectiveness.
- Collaborate with senior engineers to address challenges in real production environments, including UX, product features, big data processing, reliability, latency, and costs, ensuring research outcomes are effectively deployed for value creation.
- Collaborate with researchers to jointly publish top-tier academic papers.

Qualifications

Minimum Qualifications:
- Bachelor's degree or higher in Computer Science, Artificial Intelligence, or Information Security-related fields.
- Proficiency in Python, C, or C++, with a solid foundation in data structures, operating systems, and AI-related theories.
- Familiarity with the technical stack of LLM: data construction, Prompt, RAG, training, dialogue, etc., with preference given to those with experience in large model training and application deployment.
- Experience in risk control algorithms, NLP, computer vision, knowledge graphs, search, recommendation systems, or a related algorithmic field.

Preferred Qualifications:
- Awards in competitions like ACM/ICPC, Topcoder, or publications in top-tier conferences or journals such as NLP, computer vision, or prominent security conferences.
- Experiences in backend systems, product development, and UX design/implementation.

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 $194000 - $410000 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.​

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Tags: Big Data Computer Science Computer Vision Engineering LLMs Model training NLP Python R RAG R&D Research Security UX

Perks/benefits: 401(k) matching Career development Conferences Equity / stock options Health care Insurance Medical leave Parental leave

Region: North America
Country: United States

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