Engineering Fellowship
Salary not listed • Washington D.C. • Contract
Posted 7mo ago
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Remote Work Policy
On-site
Employment Type
Contract
Categories
Machine Learning Engineer
About the job
10a Labs is seeking an Engineering Fellow to apply technical skills to high-impact research problems. This role involves contributing across the project lifecycle, from data processing and visualization to model deployment and cloud infrastructure building. It's a hands-on position at the intersection of applied research and engineering, offering opportunities to explore novel methods and generate insights. Fellows will specialize in Software Engineering, Data Engineering, or Machine Learning, collaborating with engineers on client-facing products and internal tools, assisting with research experiment design, and brainstorming new approaches in AI security and trust & safety.
Responsibilities
- Collaborate with engineers on real projects, including client-facing products and in-house tooling.
- Assist with researching experiment design and automation, particularly for AI system abuse detection or red teaming.
- Ideate and brainstorm new research approaches for problems in Trust & Safety and AI Security.
- Support other critical initiatives.
- Implement cloud infrastructure for deploying machine learning models.
- Write high-coverage test suites for complex codebases.
- Guide project development with software engineering best practices, including version control, continuous integration, and design patterns.
- Source, curate, and process diverse data sources across domains and modalities, including automated collection of internet-scale datasets.
- Design data architecture schemata, implement with production-grade data storage tools, and interface via custom APIs.
- Develop front-end dashboards and other visualizations.
- Train, validate, evaluate, and deploy machine learning algorithms including classifiers, LLMs, and computer vision models.
- Build agentic systems for automated prompting, red-teaming, research, and rapid experimentation.
- Support projects with specialized knowledge of frontier model architectures and cutting-edge technology.
Requirements
- Strong academic background and quantitative foundation demonstrated through applied coursework, research, or hands-on experience.
- Strong Python background.
- Clear communication of technical concepts to non-technical audiences.
- 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.
- 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
- Flexible schedule, up to 20 hours per week (negotiable)
- Hourly pay commensurate with experience and qualifications
- $30 per hour for undergraduate students
- $35 per hour for graduate students
- $50 per hour for advanced PhD students
- $60 per hour for postdocs or non-tenured positions
- $125 per hour for tenure-track academics