Job Description
We are 2026 Technologies, a visionary leader in next-generation artificial intelligence. We are seeking a brilliant Senior AI Research Engineer to join our elite team in San Francisco. You will be at the forefront of defining the architectural roadmap for our proprietary generative models, pushing the boundaries of what is possible in the coming years.
In this role, you won't just follow trends; you will set them. You will lead research initiatives that define the future of Large Language Models (LLMs) and apply them to solve real-world challenges. We offer a highly competitive salary, equity packages, and an environment that fosters innovation and rapid growth.
Responsibilities
- Architect & Optimize: Design and implement scalable deep learning architectures for Large Language Models (LLMs) and generative AI systems.
- Research & Publication: Conduct high-impact research, publish findings in top-tier conferences (NeurIPS, ICML, etc.), and open-source novel methodologies.
- Model Training: Oversee the end-to-end training pipeline, from data curation and pre-training to fine-tuning and rigorous evaluation.
- Technical Leadership: Mentor junior researchers and engineers, conducting code reviews and technical architecture discussions.
- Deployment: Collaborate with MLOps teams to ensure models are production-ready, efficient, and secure.
Qualifications
- Education: PhD or Master’s degree in Computer Science, Mathematics, or a related field, with a focus on AI/ML.
- Experience: 5+ years of professional experience in AI/ML research or applied machine learning.
- Technical Skills: Proficiency in Python, PyTorch, or TensorFlow; deep understanding of Transformer architectures and NLP.
- Problem Solving: Demonstrated ability to solve complex, unstructured problems in high-performance computing environments.
- Communication: Excellent written and verbal communication skills, capable of translating complex technical concepts for diverse stakeholders.