Job Description
We are a forward-thinking leader in the generative AI space, building the infrastructure for tomorrow. As we approach our 2026 roadmap launch, we are seeking a Senior AI Engineer to architect scalable, high-performance machine learning models. You will work at the intersection of deep learning and cloud infrastructure, driving innovation that defines the next generation of intelligent applications.
Why Join Us?
- Competitive compensation and equity packages.
- Work on cutting-edge Large Language Models (LLMs) and multimodal AI.
- Flexible remote-first culture with a hub in San Francisco.
- Continuous learning budget and access to the latest hardware.
If you are passionate about the future of AI and want to shape the technology landscape of 2026, we want to hear from you.
Responsibilities
- Design, develop, and deploy state-of-the-art deep learning models for production environments.
- Optimize model inference latency and accuracy for real-time applications.
- Collaborate with cross-functional teams of data scientists, engineers, and product managers to define AI requirements.
- Mentor junior engineers and conduct code reviews to maintain high engineering standards.
- Research and implement novel architectures to stay ahead of industry trends.
- Ensure data privacy, security, and ethical AI practices are upheld in all projects.
Qualifications
- Master’s or PhD in Computer Science, Machine Learning, or a related field.
- 5+ years of professional experience in AI/ML engineering, preferably with large-scale datasets.
- Strong proficiency in Python, PyTorch, or TensorFlow.
- Deep understanding of distributed systems and cloud computing platforms (AWS, GCP, or Azure).
- Experience with MLOps pipelines and model versioning tools.
- Excellent problem-solving skills and ability to work in a fast-paced agile environment.