Responsibilities
- Write product or system development code.
- Collaborate with peers and stakeholders through design and code reviews to ensure best practices amongst available technologies (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).
- Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback.
- Build and deploy recommendation systems models, utilize ML infrastructure, and contribute to model optimization and data processing.
- Work with and finetune LLMs for targeting, large-scale retrieval, pseudo-rater, and other Ads applications.
Basic qualifications
- Bachelor’s degree or equivalent practical experience.
- 2 years of experience with software development in Python, or 1 year of experience with an advanced degree.
- 1 year of experience building and deploying recommendation systems models (e.g., retrieval, prediction, ranking, personalization, search quality, embedding) in production.
- 1 year of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging).
Preferred qualifications
- Master's degree or PhD in Computer Science or a related technical field.
- 2 years of experience with data structures and algorithms.
- 1 year of experience with GenAI techniques (e.g., Large Language Models, Multi-Modal, Large Vision Models) or with GenAI-related concepts (e.g., language modeling, computer vision).
- Experience in building products using Machine Learning techniques including Natural Language Processing (NLP).
- Experience developing accessible technologies.
Tags & focus areas
Used for matching and alerts on DevFound Fulltime Machine Learning Nlp Computer Vision Generative Ai Ai