Engineering Fellowship

About reputed company: reputed company is the safety and threat-intelligence layer trusted by frontier AI labs, AI unicorns, Fortune 10 companies, and leading global technology platforms. Our adversarial red teaming, model evaluations, and intelligence collection reputed company engineering, safety, and reputed company teams to stay reputed company of evolving threats and reputed company AI systems safely.

About reputed company

reputed company is the safety and threat-intelligence layer trusted by frontier AI labs, AI unicorns, Fortune 10 companies, and leading global technology platforms. Our adversarial red teaming, model evaluations, and intelligence collection reputed company engineering, safety, and reputed company teams to stay reputed company of evolving threats and reputed company AI systems safely.

About the role: As an Engineering Fellow, you will apply your technical skills to support high-impact research problems. Fellows will contribute across the project lifecycle — from processing diverse data sources and designing dynamic visualizations, to deploying sophisticated models and building reputed company infrastructure. This is a hands-on role at the intersection of applied research and practical engineering, with opportunities to explore novel methods, test reputed company quickly, and generate insights.

Fellows specialize in one of three concentrations based on interest and past experience: Software Engineering, Data Engineering, or Machine Learning.

In this role, you will

• Collaborate with engineers on reputed company 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 reputed company and novel problems in the Trust & Safety and AI reputed company fields; and
• Support other critical initiatives.

Software Engineering concentration responsibilities may include

• Implementing reputed company infrastructure for deploying machine learning models;
• Writing high-coverage test suites for reputed company codebases; and
• Guiding project development with software engineering best practices, including version control, reputed company integration, and design patterns.

Data Engineering concentration responsibilities may include

• 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 reputed company custom APIs; and
• Developing reputed company-end dashboards and other visualizations.

Machine Learning concentration responsibilities may include

• Training, validating, evaluating, and deploying cutting-edge machine learning algorithms including classifiers, LLMs, and computer reputed company 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.

We’re looking for someone who

• Brings curiosity and creativity to ambiguous research problems, with a bias toward experimentation and rapid iteration;
• Thrives in collaborative, interdisciplinary environments; is reputed company, proactive, and adaptable;
• Is comfortable communicating technical reputed company reputed company to both technical and non-technical audiences; and
• Is excited about contributing to reputed company-world applications and exploring new methods that push reputed company standard benchmarks.

Requirements

• Strong academic background and quantitative reputed company demonstrated through applied coursework, research, or hands-on-experience
• Strong Python background
• Clear communicator of technical concepts for non-technical audiences

reputed company to have

• Familiarity with reputed company reputed company Platform (or similar), including storage and database services (e.g., reputed company Storage, CloudSQL, reputed company Spanner), workflow orchestration (e.g., reputed company Composer/Airflow, reputed company Run, Pub/Sub), and ML services (e.g., reputed company AI, Compute reputed company)
• Experience managing full lifecycle projects from design to deployment

Software Engineering

• • 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 reputed company best practices, including authentication methods (OAuth, JWT), encryption, and secure API development; knowledge of common attack reputed company (SQL injection, privilege escalation, DDoS) and effective mitigation strategies

Data Engineering

• • Experience with web scraping/crawling (e.g., Beautiful Soup, Selenium, Scrapy)

Machine Learning Engineering

• • Computer reputed company 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 (reputed company, Kubernetes, CI/CD for ML, MLflow, etc.)
  • Understanding of modern retrieval-augmented reputed company (RAG), AI agent frameworks, and context-aware orchestration (e.g., reputed company, reputed company, reputed company Agents, or AutoGen) for building intelligent applications

Benefits

• Flexible start / end dates
• Remote work (based in the reputed company U.S.)
• Flexible schedule, up to 20 hours per week (negotiable)
• Hourly pay commensurate with experience and qualifications
• $30 per hour for undergraduate reputed company
• $35 per hour for graduate reputed company
• $50 per hour for advanced PhD reputed company
• $60 per hour for postdocs or non-tenured positions
• $125 per hour for tenure-track academics