Job Description
Are you ready to shape the future of intelligence?
Nexus Horizon is at the forefront of the generative AI revolution. We are seeking a visionary Senior AI Research Scientist to join our elite engineering team in San Francisco. If you thrive in fast-paced environments and are passionate about pushing the boundaries of Machine Learning and Deep Learning, this is your opportunity to lead high-impact projects.
At Nexus Horizon, we don't just build tools; we architect the digital consciousness of tomorrow. You will work directly with industry leaders to deploy scalable, ethical, and groundbreaking AI models.
Why Join Us?
- Competitive salary and equity package.
- Flexible work environment with remote-first options.
- Access to the latest hardware for training large language models.
- Career growth in a rapidly expanding tech ecosystem.
Key Responsibilities:
- Lead the research and development of state-of-the-art deep learning architectures.
- Design and optimize algorithms for high-performance, scalable applications.
- Collaborate with cross-functional teams to integrate AI models into production environments.
- Publish findings in top-tier academic conferences and journals.
- Mentor junior researchers and engineers to foster a culture of innovation.
Qualifications:
- Ph.D. or Master's degree in Computer Science, Mathematics, or a related field.
- Minimum of 5 years of experience in AI/ML research or a related technical role.
- Expert proficiency in Python, PyTorch, or TensorFlow.
- Strong background in Natural Language Processing (NLP) or Computer Vision.
- Proven track record of deploying machine learning models to production.
Responsibilities
- Lead the research and development of state-of-the-art deep learning architectures.
- Design and optimize algorithms for high-performance, scalable applications.
- Collaborate with cross-functional teams to integrate AI models into production environments.
- Publish findings in top-tier academic conferences and journals.
- Mentor junior researchers and engineers to foster a culture of innovation.
Qualifications
- Ph.D. or Master's degree in Computer Science, Mathematics, or a related field.
- Minimum of 5 years of experience in AI/ML research or a related technical role.
- Expert proficiency in Python, PyTorch, or TensorFlow.
- Strong background in Natural Language Processing (NLP) or Computer Vision.
- Proven track record of deploying machine learning models to production.