Job Description
We are at the forefront of the AI revolution, building intelligent systems that redefine human-computer interaction. We are seeking a Senior AI Engineer to lead our research and development efforts in Generative AI and Large Language Models.
In this role, you will architect scalable machine learning pipelines, optimize model performance, and deploy state-of-the-art models to production environments. You will work closely with a team of world-class researchers and engineers to solve complex problems in natural language processing, computer vision, and autonomous systems.
Why join us?
- Competitive compensation and equity package.
- Flexible remote and hybrid work options.
- Access to cutting-edge hardware and research.
Responsibilities
- Design, train, and fine-tune large-scale LLMs and multimodal models using transformer architectures.
- Optimize inference latency and throughput for real-time applications.
- Implement MLOps best practices for model versioning, CI/CD, and A/B testing.
- Conduct rigorous research to stay ahead of the curve in AI advancements.
- Collaborate with cross-functional teams to integrate AI solutions into products.
- Evaluate and select optimal datasets and training methodologies.
Qualifications
- PhD or Master’s degree in Computer Science, Machine Learning, or a related field.
- 5+ years of professional experience in machine learning engineering.
- Strong proficiency in Python, PyTorch, or TensorFlow.
- Experience with distributed training frameworks (Ray, Spark) and cloud platforms (AWS, GCP, Azure).
- Deep understanding of NLP concepts, including attention mechanisms, tokenization, and fine-tuning strategies.
- Proven track record of deploying models to production at scale.