10a Labs

10a Labs

Engineering Fellowship

Washington D.C

Sponsorship not specifiedDetected 92 days ago
PythonJavaKotlinNode.jsAlgorithmsSQLGCPCloud PlatformsDockerKubernetesCI/CDAPI DevelopmentOAuthMachine LearningAirflowData EngineeringComputer VisionLLMsRAGAgentic AIMLOpsAI OrchestrationA/B TestingCybersecurity

About the role

  • This is a hands-on role at the intersection of applied research and practical engineering, with opportunities to explore novel methods, test ideas quickly, and generate insights.
  • Fellows specialize in one of three concentrations based on interest and past experience: Software Engineering, Data Engineering, or Machine Learning.
  • Ideate / brainstorm new research approaches to known and novel problems in the Trust & Safety and AI Security fields; and

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;
  • Support other critical initiatives.
  • Guiding project development with software engineering best practices, including version control, continuous integration, and design patterns.
  • Developing front-end dashboards and other visualizations.
  • Building agentic systems for automated prompting, red-teaming, research, and rapid experimentation;
  • 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

Requirements

  • Supporting projects with specialized knowledge of frontier model architectures and cutting-edge technology.

Nice to have

  • Software Engineering:
  • 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
  • Data Engineering:
  • Experience with web scraping/crawling (e.g., Beautiful Soup, Selenium, Scrapy)
  • Exposure to MLOps tools and practices (Docker, Kubernetes, CI/CD for ML, MLflow, etc.)

Skills

  • Implementing cloud infrastructure for deploying machine learning models;
  • Designing data architecture schemata, implementing with production-grade data storage tools, and interfacing via custom APIs; and

Benefits

  • Flexible start / end dates
  • Flexible schedule, up to 20 hours per week (negotiable)
  • Computer vision skills (OCR, image classification, deep fake detection)
  • Familiarity with multimodal learning (text-image or text-audio) or cross-domain model evaluation
  • Training, validating, evaluating, and deploying cutting-edge machine learning algorithms including classifiers, LLMs, and computer vision models;
  • Writing high-coverage test suites for complex codebases; and
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This listing is sourced directly from 10a Labs's careers page and normalized into a canonical job model.