Job Description
We are looking for a visionary Senior AI Engineer 2026 to join our elite team in San Francisco. As the world hurtles toward an AI-first future, you will be at the forefront of designing the algorithms that will define the next decade of human-computer interaction. If you are passionate about pushing the boundaries of what is possible with generative AI, large language models, and autonomous systems, this is your opportunity to lead the charge.
Why Join Us?
- Work on cutting-edge projects with a global impact.
- Competitive compensation package with equity options.
- Flexible remote-first policy with a SF hub.
Ready to shape the future? Apply today.
Responsibilities
- Architect Next-Gen Models: Design and implement scalable machine learning architectures for large language models and generative AI systems.
- Pipeline Optimization: Develop high-performance data pipelines and inference engines to reduce latency and improve throughput.
- Research & Development: Stay ahead of the curve by researching emerging AI trends, including reinforcement learning and multi-modal learning.
- Collaboration: Partner with cross-functional teams of engineers, product managers, and designers to translate technical insights into user-centric products.
- Mentorship: Guide junior engineers and data scientists, fostering a culture of innovation and technical excellence.
Qualifications
- Education: Master’s degree or PhD in Computer Science, Mathematics, or a related technical field.
- Experience: 5+ years of professional experience in machine learning, deep learning, or AI research.
- Technical Skills: Proficiency in Python, PyTorch, or TensorFlow. Strong understanding of neural network optimization techniques.
- Domain Knowledge: Proven track record of deploying production-ready AI applications in cloud environments (AWS, GCP, or Azure).
- Communication: Excellent verbal and written communication skills with the ability to explain complex technical concepts to non-technical stakeholders.