Job Description
Are you ready to define the technology of tomorrow?
Nexus Future Labs is on a mission to pioneer the next generation of Artificial Intelligence. We are looking for a visionary AI/ML Research Engineer to join our elite team in San Francisco. This role is not just about writing code; it is about architecting the intelligent systems that will power the year 2026 and beyond. You will work with cutting-edge Large Language Models (LLMs) and generative algorithms to solve complex problems that define the future of human-machine interaction.
Why join us?
- Future-Forward Impact: Your work will directly influence the roadmap of AI development for the next decade.
- State-of-the-Art Environment: Access to top-tier compute resources and the latest hardware (e.g., NVIDIA H100 clusters).
- Competitive Compensation: Comprehensive benefits package including equity, health, and wellness programs.
If you are passionate about pushing the boundaries of what is possible in AI, we want to hear from you.
Responsibilities
- Model Development: Design, train, and fine-tune advanced machine learning models, specifically focusing on LLMs and generative AI architectures.
- Research & Innovation: Conduct cutting-edge research to improve model accuracy, efficiency, and scalability for production deployment.
- Performance Optimization: Implement and optimize inference pipelines to ensure low-latency, high-throughput performance in real-world applications.
- Collaboration: Partner with cross-functional teams (Product, Engineering, Data Science) to translate research findings into practical, scalable solutions.
- Code Quality: Maintain high standards for code documentation, testing, and reproducibility within the research environment.
Qualifications
- Education: Master’s or Ph.D. degree in Computer Science, Machine Learning, Mathematics, or a related field.
- Experience: 5+ years of professional experience in AI/ML research or software engineering with a strong focus on deep learning.
- Technical Skills: Proficiency in Python, PyTorch, or TensorFlow. Deep understanding of neural networks, transformers, and optimization algorithms.
- Problem Solving: Demonstrated ability to tackle complex, unstructured problems and derive data-driven insights.
- Communication: Excellent written and verbal communication skills, with the ability to present complex technical concepts to diverse audiences.