Engineering Fellowship at 10a Labs in Remote

Summary: 10a Labs is a trusted safety and threat-intelligence layer for AI labs and Fortune 10 companies. As an Engineering Fellow, you will apply technical skills to support high-impact research problems, contributing across the project lifecycle from data processing to deploying models and building cloud infrastructure. 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 Required Qualifications: - 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 Preferred Qualifications: - 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 Required Skills: Python, Cloud infrastructure, Machine learning Important Skills: Data engineering, Software engineering Benefits: Flexible start / end dates, Remote work (based in the continental U.S.), Flexible schedule, up to 20 hours per week (negotiable)