Job Description
Are you ready to define the future of intelligent systems?
2026 Innovations is a cutting-edge technology firm dedicated to building the foundational models for the year 2026 and beyond. We are looking for a visionary Senior AI Research Engineer to join our elite engineering team in San Francisco. In this role, you will push the boundaries of what is possible in Deep Learning and Natural Language Processing, creating solutions that are not just advanced, but transformative.
At 2026 Innovations, we value innovation, curiosity, and the drive to solve the unsolvable. You will work in a collaborative environment with some of the brightest minds in the industry, with the freedom to experiment and the resources to scale your ideas into reality.
Join us in shaping the trajectory of technology.
2026 Innovations is a cutting-edge technology firm dedicated to building the foundational models for the year 2026 and beyond. We are looking for a visionary Senior AI Research Engineer to join our elite engineering team in San Francisco. In this role, you will push the boundaries of what is possible in Deep Learning and Natural Language Processing, creating solutions that are not just advanced, but transformative.
At 2026 Innovations, we value innovation, curiosity, and the drive to solve the unsolvable. You will work in a collaborative environment with some of the brightest minds in the industry, with the freedom to experiment and the resources to scale your ideas into reality.
Join us in shaping the trajectory of technology.
Responsibilities
- Design, train, and deploy state-of-the-art deep learning models for large-scale applications.
- Conduct cutting-edge research to improve model accuracy, efficiency, and generalization capabilities.
- Collaborate with cross-functional teams of data scientists, engineers, and product managers to translate research into production-ready features.
- Optimize algorithms for high performance on distributed computing clusters.
- Mentor junior engineers and contribute to the technical roadmap of the AI division.
- Stay abreast of the latest advancements in the field and integrate new methodologies into our workflows.
Qualifications
- PhD or Master’s degree in Computer Science, Mathematics, Statistics, or a related quantitative field.
- 5+ years of professional experience in machine learning, deep learning, or natural language processing.
- Proficiency in Python and experience with deep learning frameworks such as PyTorch or TensorFlow.
- Strong understanding of statistical modeling, NLP architectures, and transformer models.
- Experience with cloud platforms (AWS, GCP, or Azure) and MLOps tools.
- Proven track record of publishing research papers or delivering impactful AI products.