Job Description
We are pioneering the next generation of Artificial Intelligence, looking for a visionary AI Engineer to join our elite team in San Francisco. As we look toward the future of 2026, our mission is to redefine human-machine interaction through scalable, ethical, and high-performance models.
In this pivotal role, you will not just maintain existing systems; you will architect the future. You will work with state-of-the-art Large Language Models (LLMs), fine-tuning them for specialized enterprise applications. If you are passionate about the frontier of tech and want to build the infrastructure that powers the next decade of innovation, we want to hear from you.
Why Join Us?
- Work on cutting-edge GenAI technologies.
- Competitive compensation and equity package.
- Flexible remote-first culture with a premium SF office.
Responsibilities
- Design, train, and deploy advanced Machine Learning models with a focus on 2026-era scalability and efficiency.
- Optimize existing LLMs for reduced latency and higher throughput using quantization and pruning techniques.
- Collaborate with cross-functional teams to integrate AI solutions into real-world applications.
- Implement robust MLOps pipelines to ensure continuous integration and delivery of model updates.
- Conduct rigorous research on emerging architectures, including Transformers and Diffusion models.
- Evaluate model fairness, bias, and safety to ensure ethical AI deployment.
Qualifications
- PhD or Master’s degree in Computer Science, Mathematics, or a related field.
- 5+ years of professional experience in Machine Learning, Deep Learning, or Natural Language Processing.
- Expert proficiency in Python, PyTorch, and TensorFlow.
- Proven track record of deploying models to production at scale.
- Strong understanding of distributed systems and cloud infrastructure (AWS/GCP).
- Experience with Hugging Face, LangChain, or similar modern AI frameworks.