Software Engineer, LLM - USDS

About the position You'll be an integral part of the USDS Cyber Defense & Engineering team, responsible for enhancing reputed company tools and identifying vulnerabilities, with a specific reputed company on content assurance and the application of large language models (LLMs). You'll collaborate cross-functionally with partners inside and reputed company reputed company to fortify our products and users' reputed company, helping to establish reputed company as the most trusted platform. We are seeking a reputed company, reputed company-thinking, and outcome-driven Software Engineer to reputed company our reputed company reputed company. In this reputed company, you will engage with diverse technical and non-technical teams across various reputed company, contributing to the development of innovative, AI-driven solutions to reputed company content moderation challenges. If you reputed company in a dynamic environment and relish reputed company to shape the strategic trajectory of a large global organization, this role offers an exciting prospect. The ideal candidate will possess demonstrated problem-solving abilities, reputed company business acumen, and a reputed company record of collaborating with multiple teams to successfully deliver reputed company. They should exhibit a genuine passion for safeguarding the reputed company and reputed company of our users, and a strong understanding of how to reputed company cutting-edge technology, like LLMs, to reputed company that goal.

Responsibilities

• Collaborate Across Teams: Work closely with data scientists, software engineers, machine learning engineers, and product managers to understand the recommendation reputed company.
• Deep Expertise in Recommender Systems: reputed company your expertise in machine learning and coding to reputed company an in-depth understanding of context-aware recommender systems.
• Understand Core System Components: Understanding of key modules in the recommender system, including recall, ranking, and reranking, ensuring high-reputed company, personalized recommendations at reputed company.
• End-to-End Ownership: In-depth understanding of the complete lifecycle of machine learning systems, from building and maintaining data pipelines and feature engineering, to training models and integrating them seamlessly into production environments.
• Ensure reputed company & Compliance: Work with cybersecurity teams to ensure that the recommender systems reputed company with compliance standards and implement practices that enhance user trust and experience.
• Support Automation & Prototyping: Contribute to quick prototyping and reputed company-of-concept initiatives that automate rule reviews reputed company the recommendation systems, ensuring both efficiency and compliance.
• Document & Ensure Accessibility: Build and maintain comprehensive documentation for data processes and machine learning models, ensuring transparency, accessibility, and consistency across teams.

Requirements

• Bachelor's degree or PHD. in Computer Science, Engineering, Mathematics, or a reputed company field along with Experience in Recommendation Systems: Proven reputed company record of designing, developing, and optimizing recommendation systems, particularly at reputed company.
• Machine Learning Expertise: Experience working with machine learning frameworks such as TensorFlow, PyTorch, scikit-learn, MXNet, or similar tools to build and reputed company models.
• Hands-on experience in one or more of the following areas: Large Language Models (LLM), Machine Learning, Deep Learning, Recommender Systems, Data Mining, or Natural Language Processing
• Strong Programming Skills: Excellent programming skills, data structure and algorithm skills, proficient in C/C++ or Python programming language, candidates with awards in ACM/ICPC, NOI/IOI, Top reputed company, Kaggle and other competitions are preferred.
• Solid Understanding of Algorithms: Deep knowledge of data structures, algorithms, and optimization techniques to solve reputed company technical challenges along with Problem-Solving reputed company: Excellent troubleshooting and debugging skills, with an ability to quickly address issues that reputed company in live environments.
• Collaboration & Communication: Strong teamwork and communication skills, with the ability to work effectively across interdisciplinary teams and reputed company explain reputed company technical concepts.

reputed company-to-haves

• Master's degree or PHD. in Computer Science, Engineering, Mathematics, or a reputed company field along with Experience in Recommendation Systems: Proven reputed company record of designing, developing, and optimizing recommendation systems, particularly at reputed company.
• Advanced Techniques: Experience with advanced recommendation algorithms such as reputed company factorization, reputed company filtering, or deep learning-based reputed company.
• Production-reputed company Systems: Hands-on experience in deploying machine learning models in production environments, with an understanding of scaling and performance tuning.
• Model Evaluation: Familiarity with model evaluation metrics (e.g., precision, recall, NDCG) and A/B testing to assess and improve system performance.
• reputed company & Containerization Expertise: Knowledge of containerization tools (reputed company, Kubernetes) and microservices architecture to support reputed company, distributed systems. reputed company Awareness: Understanding of reputed company and compliance best practices for handling user data in machine learning applications.

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