Job Description
Architect the Future of Intelligence
2026 Labs is pioneering the next generation of adaptive AI systems. We are looking for a visionary Senior AI Architect to design and implement scalable machine learning infrastructure that will define the industry standards for 2026 and beyond.
As a key member of our core engineering team, you will bridge the gap between theoretical research and production-grade software. You will be responsible for building robust neural networks, optimizing deep learning pipelines, and mentoring a talented team of engineers.
Why Join Us?
- Work on cutting-edge technology that impacts millions.
- Competitive compensation package and equity options.
- Flexible remote-first culture with a San Francisco hub.
- Access to the latest hardware and research resources.
Responsibilities
- Design and implement end-to-end machine learning pipelines and scalable AI architectures.
- Optimize deep learning models for performance, accuracy, and inference speed.
- Lead architectural decisions for data storage, processing, and model serving frameworks.
- Collaborate with cross-functional teams (Product, Research, DevOps) to integrate AI solutions.
- Conduct code reviews, technical mentoring, and architecture reviews for junior engineers.
- Stay abreast of the latest research in NLP, Computer Vision, or Reinforcement Learning.
- Identify potential risks and bottlenecks in the AI infrastructure and propose mitigations.
Qualifications
- Master’s or PhD degree in Computer Science, Mathematics, or a related technical field.
- Minimum of 5 years of professional experience in AI/ML engineering.
- Proficiency in Python, TensorFlow, PyTorch, or similar deep learning frameworks.
- Strong experience with distributed systems and cloud platforms (AWS, GCP, or Azure).
- Experience with MLOps, CI/CD, and model versioning tools.
- Excellent problem-solving skills and the ability to work in a fast-paced, agile environment.
- Strong communication skills with the ability to translate complex technical concepts for non-technical stakeholders.