Job Description
We are seeking a visionary Senior AI Engineer to lead our cutting-edge research into next-generation artificial intelligence systems. As we approach the 2026 technological horizon, you will be instrumental in architecting scalable machine learning models that define the future of human-computer interaction. This is a rare opportunity to work with a world-class team pushing the boundaries of what is possible in neural networks and generative AI.
Why Join Us?
- Work on mission-critical AI infrastructure for global enterprises.
- Competitive salary and equity package.
- Flexible remote-first culture with a collaborative office in SF.
- Access to state-of-the-art hardware and research libraries.
If you are passionate about the future of technology and want to build the AI systems of tomorrow, we want to hear from you.
Responsibilities
- Design and implement scalable machine learning pipelines and neural network architectures for 2026-ready applications.
- Lead research initiatives in Natural Language Processing (NLP) and Computer Vision to improve model accuracy and efficiency.
- Optimize large-scale training runs on distributed GPU clusters to reduce time-to-market.
- Mentor junior engineers and data scientists, fostering a culture of technical excellence and innovation.
- Collaborate with cross-functional product teams to translate complex AI capabilities into user-friendly features.
- Stay ahead of industry trends in AI ethics, security, and compliance.
- Contribute to open-source projects and internal technical documentation.
Qualifications
- Master’s or PhD in Computer Science, Mathematics, or a related technical field.
- Minimum of 5+ years of professional experience in AI/ML engineering, with a proven track record of deploying production models.
- Deep expertise in Python, PyTorch, TensorFlow, or JAX.
- Strong understanding of distributed systems and cloud platforms (AWS, GCP, or Azure).
- Experience with MLOps tools (Docker, Kubernetes, MLflow) and model versioning.
- Excellent problem-solving skills and the ability to thrive in a fast-paced, agile environment.
- Strong communication skills with the ability to explain complex technical concepts to non-technical stakeholders.