Software Engineer - USDS

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In order to enhance collaboration and cross-functional partnerships, among other things, at this time, our organization follows a hybrid work schedule that requires employees to work in the office 3 days a week, or as directed by their manager/department. We regularly review our hybrid work model, and the specific requirements may change at any time.

Responsibilities
- Build and implement compelling and usable tools with technologies like React, Python, and Golang to improve consistency and efficiency across US Trust & Safety.
- Collaborate directly with users to inform, refine, and validate concepts, translating user needs into robust and scalable features from MVP to production.
- Develop and deploy lightweight models in Python and SQL for our Detection Engineering program, helping to catch high-harm content and behavioral leakage at scale.
- Contribute to the exploration and application of AI/LLM technologies to enhance our proactive detection capabilities and reduce the technical lift of current bespoke systems.
- Participate actively in team events, including hackathons, monthly product demos, and quarterly on-sites.
- Analyze metrics and derive insights to continuously raise the effectiveness of our tooling and detection solutions.

Qualifications

Minimum Qualifications
- 2+ years of experience building and contributing to applications, with a solid understanding of the systems you've worked on.
- Fluency in Python, and proficiency in other modern programming languages (e.g., Go, JavaScript) is a plus.
- Proficiency in relational database technologies (e.g., MySQL) and NoSQL database technologies (e.g., MongoDB).
- Prior experience in Frontend development, Site Reliability Engineering (SRE), Data Engineering, or Machine Learning.
- Strong foundational knowledge in software engineering principles, data structures, and algorithms.
- A proactive approach to problem-solving, with the ability to work effectively both independently and collaboratively in a fast-paced environment.
- Working knowledge of cloud platforms (e.g., OCI, GCP, AWS) and associated technologies (e.g., Kubernetes, networking).

Preferred Qualifications
- Curiosity and eagerness to learn about Large Language Models (LLMs) and Artificial Intelligence (AI), and how they can be applied to build more predictive and intelligent systems or exposure to ML- or LLM-powered internal tools (e.g., RAG pipelines, classifier integrations)
- Experience working on Trust & Safety, detection, security, or integrity systems
- Familiarity with emerging threat models, adversarial behaviors, or large-scale abuse mitigation
- Your ability to work in a high tempo environment, adapt, respond to day-to-day challenges of the role.
- Your resilience and commitment to self-care to manage the emotional demands of the role.

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.

Client-provided location(s): New York, NY

Job ID: TikTok-7535127011514878216

Employment Type: OTHER

Posted: 2025-08-07T04:37:22