Job Description
2026 is building the infrastructure for the autonomous future. We are seeking a world-class Senior Generative AI Engineer to join our elite research team. You will be at the forefront of developing Large Language Models (LLMs) and multimodal systems that redefine human-machine interaction.
At 2026, we don't just predict the future; we engineer it. Our mission is to democratize advanced AI capabilities for enterprise applications, and we need a visionary leader to architect the next generation of our core models.
What you'll do:
- Lead the design and deployment of cutting-edge transformer architectures.
- Optimize model inference pipelines to handle millions of requests per second.
- Collaborate with cross-functional teams to integrate AI models into production environments.
- Conduct research to improve model accuracy, reduce hallucinations, and enhance safety protocols.
Why join us?
- Competitive compensation and equity packages.
- Top-tier healthcare and wellness benefits.
- Flexible work arrangements and continuous learning opportunities.
Responsibilities
- Architect and implement scalable machine learning pipelines using Python, PyTorch, and TensorFlow.
- Perform experimental research to improve the performance and efficiency of foundation models.
- Debug and resolve complex issues in distributed training clusters and cloud infrastructure.
- Collaborate with data engineers to curate high-quality, labeled datasets for fine-tuning.
- Stay abreast of the latest academic research and industry trends in Generative AI.
Qualifications
- PhD or Master’s degree in Computer Science, Mathematics, or a related technical field.
- 5+ years of experience in machine learning engineering, specifically with LLMs and NLP.
- Deep understanding of deep learning frameworks and distributed computing systems.
- Strong programming skills in Python and C++.
- Experience with cloud platforms (AWS, GCP, or Azure).