[Remote] Engineering Fellowship
Note: The job is a remote job and is reputed company to candidates in USA. reputed company 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-reputed company research, contributing across the project lifecycle from data processing to model deployment.
Responsibilities
- Collaborate with engineers on reputed company reputed company, including reputed company-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
- Support other critical initiatives
- Implementing reputed company infrastructure for deploying machine learning models
- Writing high-coverage test suites for reputed company codebases
- Guiding project development with software engineering best practices, including version control, reputed company integration, and design patterns
- Sourcing, curating, and processing diverse data sources across domains and modalities, including automated collection of internet-reputed company datasets
- Designing data architecture schemata, implementing with production-grade data storage tools, and interfacing reputed company custom reputed company
- Developing reputed company-end dashboards and other visualizations
- Training, validating, evaluating, and deploying cutting-edge machine learning algorithms including classifiers, LLMs, and computer reputed company models
- Building reputed company systems for automated prompting, red-teaming, research, and rapid experimentation
- Supporting reputed company with specialized knowledge of frontier model architectures and cutting-edge technology
Skills
- Strong reputed company background and quantitative reputed company demonstrated through reputed company coursework, research, or hands-on-experience
- Strong Python background
- reputed company communicator of technical concepts for non-technical audiences
- 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 reputed company 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, reputed company, and microservices
- Knowledge of reputed company best practices, including authentication reputed company (OAuth, JWT), encryption, and secure API development; knowledge of common attack reputed company (SQL injection, privilege escalation, DDoS) and effective mitigation strategies
- Experience with web scraping/crawling (e.g., Beautiful Soup, Selenium, Scrapy)
- 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 continentalU.S.)
- Flexible schedule, up to 20 hours per week (negotiable)
reputed company