Senior Software Engineer, Content Safety

United States Digital Space LLC; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

United States Digital Space LLC is seeking software engineers to join the Content Safety Core team in Singapore. You will architect and ship high‑quality, scalable safety solutions across server and edge environments, helping protect billions of users while enabling fast product innovation.

The role emphasizes building robust architectures, multi‑step AI orchestration, and tool‑use schemas, with collaboration across regions to translate business goals into concrete technical plans.

Qualifications

• Bachelor’s degree or equivalent practical experience.
• 5 years of experience with software development in one or more programming languages.
• 3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture.
• 3 years of experience with ML infrastructure (model deployment, evaluation, data processing, debugging).
• 3 years of experience with ML concepts and related fields.

Responsibilities

• Architect and drive the technical direction for high‑quality, future‑proof content safety solutions across server and edge environments.
• Design robust, scalable software architectures and complex data models to meet shifting system requirements.
• Lead the development, deployment, and optimization of agentic AI orchestration pipelines at scale.
• Establish validation standards, routing logic, and tool‑use schemas for safe, compliant execution.
• Collaborate with global stakeholders to translate business goals into concrete technical plans.

Skills

Software development

Testing & maintenance

Software architecture

ML infrastructure

ML concepts

Education

Bachelor’s degree or equivalent practical experience

Job description

the company will be prioritizing applicants who have a current right to work in Singapore, and do not require the company's sponsorship of a visa.

Minimum qualifications:

• Bachelor’s degree or equivalent practical experience.
• 5 years of experience with software development in one or more programming languages.
• 3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture.
• 3 years of experience with one or more of the following: Speech/audio (e.g., technology duplicating and responding to the human voice), reinforcement learning (e.g., sequential decision making), ML infrastructure, or specialization in another ML field.
• 3 years of experience with Machine Learning (ML) infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging).

Preferred qualifications:

• Experience designing robust, scalable software architectures, modular interfaces, and complex data models to meet ambiguous system requirements.
• Experience in Responsible AI or safety-adjacent fields such as factuality, policy enforcement, or adversarial defense.
• Demonstrated experience designing, scaling, and optimizing complex agentic flows (e.g., stateless and stateful), including advanced prompt engineering, context engineering, and tool-use (function calling) schemas.
• Hands‑on experience deploying and scaling GeneAI models, foundation model SDKs, and calling cloud-hosted models in high‑throughput environments.
• Solid understanding of ML concepts, Large Language Model (LLM) mechanics (e.g., transformers, activations, embeddings), and how to efficiently train and deploy them at scale.

About the job

the company's software engineers develop the next‑generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large‑scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to the company’s needs with opportunities to switch teams and projects as you and our fast‑paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full‑stack as we continue to push technology forward.

The Content Safety organization in Core provides safety solutions that protect the company’s users from exposure to offensive, sensitive or harmful content. The team unblock and accelerate the company’s product launches by providing quality implementations of company‑wide standards for Responsible Artificial Intelligence (AI). The team combines subject matter expertise in the content safety domain and a practice of machine learning and AI‑based techniques with the production‑grade experience in serving infrastructure and product integrations to protect users from harm, maintain the company’s engagement in the area of online safety across the industry, and make foundational models and the internet safer for society.The Core team builds the technical foundation behind the company’s flagship products. We are owners and advocates for the underlying design elements, developer platforms, product components, and infrastructure at the company. These are the essential building blocks for excellent, safe, and coherent experiences for our users and drive the pace of innovation for every developer. We look across the company’s products to build central solutions, break down technical barriers and strengthen existing systems. As the Core team, we have a mandate and a unique opportunity to impact important technical decisions across the company.

Responsibilities

• Architect and drive the technical direction for high‑quality, future‑proof, and performant content safety solutions across both server‑side and on‑device (e.g., edge) environments.
• Design robust, scalable software architectures, modular interfaces, and complex data models to resolve highly ambiguous and shifting system requirements.
• Lead the development, deployment, and optimization of highly performant agentic flows (e.g., both stateless and stateful) and multi‑step AI orchestration pipelines at scale.
• Establish rigorous validation standards, routing logic, and tool‑use schemas to ensure deterministic, safe, and compliant execution across autonomous safety agent pipelines.
• Collaborate with global stakeholders and cross‑functional partners across regions to translate high‑level business goals into concrete technical execution plans.

the company is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also the company's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.