Job Description
We are seeking a visionary Generative AI Engineer to join our elite engineering team in San Francisco. As we look toward the future of technology, we are building the infrastructure that will define the AI landscape of 2026 and beyond.
In this role, you will be responsible for developing, training, and deploying state-of-the-art large language models (LLMs) and generative neural networks. You will work at the intersection of research and production, ensuring our models are not only powerful but also safe, scalable, and efficient.
Why join us?
- Work with cutting-edge technology in a high-growth environment.
- Competitive salary and equity packages.
- Flexible work arrangements in the heart of SF.
If you are passionate about the future of AI, we want to hear from you.
Responsibilities
- Design and implement scalable MLOps pipelines for training and deploying generative models.
- Optimize model inference latency and reduce computational costs for large-scale deployments.
- Collaborate with data scientists to curate high-quality training datasets and perform fine-tuning.
- Research and integrate the latest advancements in NLP and computer vision.
- Ensure model safety, fairness, and ethical use in production applications.
Qualifications
- 5+ years of experience in software engineering, with a focus on Machine Learning or AI.
- Strong proficiency in Python and deep learning frameworks (PyTorch, TensorFlow, or JAX).
- Proven experience working with Large Language Models (e.g., GPT, LLaMA, BERT).
- Experience with cloud platforms (AWS, GCP) and containerization (Docker, Kubernetes).
- Master’s degree in Computer Science, Statistics, or a related technical field.