Job Description
We are seeking a visionary Senior AI Engineer to lead the next generation of machine learning infrastructure. Join our elite team in San Francisco and help define the future of Generative AI and Large Language Models (LLMs).
In this role, you will bridge the gap between research and production, building scalable AI systems that drive tangible business impact. You will work with cutting-edge frameworks and collaborate with world-class researchers to deploy models that serve millions of users.
Why Join Us?
- Work with state-of-the-art AI/ML technologies.
- Competitive equity and benefits package.
- Flexible remote-first culture with a San Francisco hub.
Core Responsibilities:
Responsibilities
- Design, train, and deploy large-scale deep learning models, specifically focusing on LLMs and Computer Vision.
- Optimize model inference pipelines for low latency and high throughput in production environments.
- Collaborate with cross-functional teams to integrate AI capabilities into product features.
- Implement MLOps best practices, including CI/CD for ML, model versioning, and automated retraining.
- Conduct rigorous A/B testing and performance analysis to improve model accuracy and user engagement.
- Mentor junior engineers and provide technical guidance on architectural decisions.
Qualifications:
Qualifications
- Master’s or PhD in Computer Science, Statistics, or a related field.
- 5+ years of professional experience in Machine Learning or AI engineering.
- Proficiency in Python, PyTorch, or TensorFlow.
- Deep understanding of NLP, Transformers, or Computer Vision architectures.
- Experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes).
- Strong problem-solving skills and the ability to work in a fast-paced, agile environment.