Job Description
Are you ready to shape the future?
Nexus Future Labs is seeking a visionary Senior AI Research Engineer to spearhead Project 2026, our groundbreaking initiative to redefine the boundaries of artificial general intelligence and quantum computing integration. If you are passionate about solving complex problems and pushing the envelope of technology, this is your opportunity to lead a world-class team.
In this role, you will be at the forefront of innovation, designing scalable architectures and developing next-generation algorithms that will power the digital landscape of tomorrow.
Responsibilities
- Architect Core Systems: Design and implement scalable machine learning pipelines and neural network architectures for Project 2026.
- Lead Research Initiatives: Spearhead research in Large Language Models (LLMs) and reinforcement learning to achieve state-of-the-art performance.
- Model Optimization: Optimize existing models for latency, accuracy, and resource efficiency in production environments.
- Mentorship: Guide a team of junior engineers and data scientists, fostering a culture of continuous learning and technical excellence.
- Collaboration: Work closely with cross-functional teams including product managers, designers, and security experts to translate research into actionable products.
- Deployment: Oversee the deployment of AI models to cloud infrastructure (AWS/Azure) ensuring high availability and security compliance.
Qualifications
- Education: Master’s or PhD in Computer Science, Mathematics, or a related field with a focus on AI/ML.
- Experience: Minimum 5 years of professional experience in machine learning research or applied AI engineering.
- Technical Skills: Proficiency in Python, PyTorch, TensorFlow, or JAX; experience with distributed computing frameworks (Spark, Ray).
- Domain Knowledge: Strong understanding of Natural Language Processing (NLP), Computer Vision, or Generative AI models.
- Communication: Excellent verbal and written communication skills with the ability to articulate complex technical concepts to diverse stakeholders.
- Problem Solving: Demonstrated ability to tackle ambiguous problems and deliver innovative solutions under tight deadlines.