Job Description
We are seeking a visionary Senior Generative AI Engineer to join our elite research division. As we chart the course for the 2026 AI landscape, you will be at the forefront of building the next generation of autonomous intelligent systems. We are looking for a technologist who doesn't just use existing models but pushes the boundaries of what is possible.
In this role, you will lead the architecture and development of large-scale generative models, focusing on scalability, safety, and real-world applicability. If you are passionate about the future of technology and want to shape the AI ecosystem of tomorrow, we want to hear from you.
Why Join Us?
- Work on cutting-edge research projects with a massive impact.
- Competitive compensation package with equity options.
- Flexible remote-first culture with a hub in the heart of San Francisco.
- Access to state-of-the-art compute resources and research grants.
Responsibilities
- Design, train, and fine-tune large language models (LLMs) and multimodal architectures for the 2026 roadmap.
- Architect scalable inference pipelines and optimize model latency and throughput.
- Lead R&D initiatives in Reinforcement Learning from Human Feedback (RLHF) and Constitutional AI.
- Collaborate with product teams to integrate AI agents into consumer-facing applications.
- Evaluate model performance against ethical guidelines and safety benchmarks.
- Mentor junior engineers and contribute to our open-source AI library.
Qualifications
- Master’s or PhD in Computer Science, Machine Learning, or a related technical field.
- 5+ years of experience in deep learning, NLP, or Generative AI.
- Strong proficiency in Python, PyTorch, or TensorFlow.
- Deep understanding of transformer architectures, attention mechanisms, and diffusion models.
- Experience deploying models to production environments (e.g., AWS, GCP, Kubernetes).
- Proven track record of publishing in top-tier AI conferences (NeurIPS, ICML, ACL).