Note: The job is a remote job and is open to candidates in USA. 10a Labs is the safety and threat-intelligence layer trusted by frontier AI labs and leading global technology platforms. The Engineering Fellow will apply technical skills to support high-impact research, contributing across the project lifecycle from data processing to model deployment.
Responsibilities
- Collaborate with engineers on real projects, including client-facing products and in-house tooling
- Assist with researching experiment design and automation, particularly as it relates to abuse detection or red teaming of AI systems
- Ideate / brainstorm new research approaches to known and novel problems in the Trust & Safety and AI Security fields
- Support other critical initiatives
- Implementing cloud infrastructure for deploying machine learning models
- Writing high-coverage test suites for complex codebases
- Guiding project development with software engineering best practices, including version control, continuous integration, and design patterns
- Sourcing, curating, and processing diverse data sources across domains and modalities, including automated collection of internet-scale datasets
- Designing data architecture schemata, implementing with production-grade data storage tools, and interfacing via custom APIs
- Developing front-end dashboards and other visualizations
- Training, validating, evaluating, and deploying cutting-edge machine learning algorithms including classifiers, LLMs, and computer vision models
- Building agentic systems for automated prompting, red-teaming, research, and rapid experimentation
- Supporting projects with specialized knowledge of frontier model architectures and cutting-edge technology
Skills
- Strong academic background and quantitative foundation demonstrated through applied coursework, research, or hands-on-experience
- Strong Python background
- Clear communicator of technical concepts for non-technical audiences
- Familiarity with Google Cloud Platform (or similar), including storage and database services (e.g., Cloud Storage, CloudSQL, Cloud Spanner), workflow orchestration (e.g., Cloud Composer/Airflow, Cloud Run, Pub/Sub), and ML services (e.g., Vertex AI, Compute Engine)
- Experience managing full lifecycle projects from design to deployment
- Experience designing and building end-to-end backend systems, from architecture and data modeling to deployment, scaling, and monitoring
- Proficiency in backend programming languages such as Python, Java, Kotlin, Node.js, or Go and experience building secure systems, APIs, and microservices
- Knowledge of security best practices, including authentication methods (OAuth, JWT), encryption, and secure API development; knowledge of common attack vectors (SQL injection, privilege escalation, DDoS) and effective mitigation strategies
- Experience with web scraping/crawling (e.g., Beautiful Soup, Selenium, Scrapy)
- Computer vision skills (OCR, image classification, deep fake detection)
- Familiarity with multimodal learning (text-image or text-audio) or cross-domain model evaluation
- Exposure to MLOps tools and practices (Docker, Kubernetes, CI/CD for ML, MLflow, etc.)
- Understanding of modern retrieval-augmented generation (RAG), AI agent frameworks, and context-aware orchestration (e.g., LangChain, LlamaIndex, OpenAI Agents, or AutoGen) for building intelligent applications
Benefits
- Flexible start / end dates
- Remote work (based in the continentalU.S.)
- Flexible schedule, up to 20 hours per week (negotiable)
Company Overview