Job Description
Join 2026 Inc., the vanguard of futuristic intelligence, as we architect the digital infrastructure for the year 2026 and beyond. We are looking for a visionary Senior AI Engineer to lead our core research division in San Francisco. If you are passionate about pushing the boundaries of neural networks, generative AI, and scalable machine learning systems, this is your opportunity to shape the future.
At 2026, we believe in creating technology that isn't just functional, but transformative. You will work alongside a world-class team of engineers and data scientists to solve complex problems that define the next decade of technology.
Responsibilities
- Design, develop, and deploy scalable machine learning models and AI systems that power our core product suite.
- Lead the end-to-end machine learning lifecycle, from data ingestion and preprocessing to model training, evaluation, and productionization.
- Collaborate with cross-functional teams, including product managers and designers, to translate business requirements into technical solutions.
- Optimize existing algorithms and infrastructure to improve model accuracy, latency, and resource efficiency.
- Stay abreast of the latest advancements in AI research and implement cutting-edge techniques to maintain a competitive edge.
- Mentor junior engineers and data scientists, fostering a culture of innovation and technical excellence within the team.
Qualifications
- Master’s or Ph.D. degree in Computer Science, Machine Learning, or a related quantitative field.
- Minimum of 5 years of professional experience in building and deploying production-grade AI/ML systems.
- Strong proficiency in programming languages such as Python, TensorFlow, PyTorch, or JAX.
- Deep understanding of statistical learning, natural language processing (NLP), or computer vision.
- Experience with cloud platforms (AWS, GCP, or Azure) and containerization technologies (Docker, Kubernetes).
- Proven track record of taking complex research concepts and translating them into robust, scalable software products.
- Excellent communication skills and the ability to articulate technical concepts to non-technical stakeholders.