Job Description
We are 2026 Innovations, a pioneering tech firm dedicated to defining the landscape of the year 2026 and beyond. We are currently seeking a highly skilled and visionary Senior AI Engineer to join our elite engineering team in San Francisco.
In this role, you will be instrumental in developing the core neural architectures that will power our flagship products. We are not just looking for code; we are looking for architects of the future. If you are passionate about pushing the boundaries of Generative AI, Computer Vision, and Large Language Models, and you want to build the technology that will define the next decade, this is your opportunity.
Join us in shaping the future of technology today.
Responsibilities
- Core Development: Lead the end-to-end development of advanced AI models, including LLMs and computer vision systems, aligned with the 2026 strategic roadmap.
- System Architecture: Design scalable, fault-tolerant, and high-performance AI infrastructure capable of processing petabytes of data.
- Research & Innovation: Conduct cutting-edge research to implement novel techniques in natural language processing and predictive analytics.
- Team Leadership: Mentor junior engineers and data scientists, conducting code reviews, and fostering a collaborative engineering culture.
- Model Optimization: Optimize model inference speed and reduce latency to ensure real-time user experiences in production environments.
- Deployment: Manage the MLOps lifecycle, ensuring continuous integration and delivery (CI/CD) for AI models.
Qualifications
- Education: Master’s degree or PhD in Computer Science, Artificial Intelligence, or a related quantitative field.
- Experience: 7+ years of professional experience in software engineering, with at least 4 years specifically in AI/ML.
- Technical Stack: Deep proficiency in Python, PyTorch, TensorFlow, and experience with distributed training frameworks (e.g., Ray, DeepSpeed).
- Cloud Mastery: Extensive experience deploying models on cloud platforms (AWS, GCP, or Azure).
- Problem Solving: Demonstrated ability to tackle ambiguous technical problems and deliver robust solutions under tight deadlines.
- Communication: Excellent written and verbal communication skills, capable of presenting complex technical concepts to executive stakeholders.