Job Description
Join the Architects of the 2026 Era. Apex AI Systems is seeking a visionary AI Research Engineer to spearhead the development of autonomous agents and next-generation Large Language Models. If you are passionate about pushing the boundaries of generative AI and building systems that will define the technological landscape of 2026, we want to hear from you.
We are looking for a self-starter who thrives in a fast-paced environment and is ready to tackle complex problems in NLP, Computer Vision, and Reinforcement Learning.
Responsibilities
- Architect and deploy scalable machine learning models for production environments, ensuring high availability and low latency.
- Research and implement cutting-edge algorithms in Generative AI and LLM fine-tuning to enhance model accuracy and reasoning capabilities.
- Collaborate with cross-functional teams of data scientists, engineers, and product managers to translate research into production-ready features.
- Optimize existing neural networks for inference speed and resource efficiency using techniques like quantization and pruning.
- Monitor model performance in real-time, implementing robust logging and alerting systems for drift detection.
- Stay ahead of industry trends, contributing to patentable research and publishing findings in top-tier conferences.
Qualifications
- Ph.D. or Master’s degree in Computer Science, Mathematics, or a related field with a focus on AI/ML.
- 5+ years of professional experience in machine learning, deep learning, or natural language processing.
- Strong proficiency in Python, PyTorch, TensorFlow, and experience with distributed computing frameworks (Ray, Spark).
- Deep understanding of Transformer architectures, GPT models, and prompt engineering.
- Experience with MLOps tools (Docker, Kubernetes, MLflow) and cloud platforms (AWS, GCP, Azure).
- Excellent problem-solving skills and the ability to communicate complex technical concepts to non-technical stakeholders.