Job Description
Are you ready to define the AI landscape of 2026? Nexus Innovations is seeking a visionary AI Research Engineer to lead our cutting-edge research division. We are building the next generation of artificial general intelligence and ethical autonomous systems. If you are passionate about pushing the boundaries of what is possible with machine learning and want to shape the future of technology, this is your opportunity to make an impact.
As a key member of our R&D team, you will work on projects that will define the operational capabilities of AI in the near future. You will collaborate with world-class engineers, data scientists, and ethicists to deploy scalable, robust, and safe AI models.
Why Join Us?
- Work on state-of-the-art Large Language Models (LLMs) and multimodal architectures.
- Competitive compensation package with equity options.
- Flexible remote-first culture with a premium office in San Francisco.
- Access to the latest hardware and computing resources for research.
Responsibilities
- Design and implement novel deep learning architectures capable of handling complex, multi-modal data streams.
- Lead research initiatives focused on improving model efficiency, accuracy, and safety protocols for 2026 deployment standards.
- Collaborate with product teams to translate theoretical research into scalable, production-ready AI features.
- Mentor junior researchers and data scientists, fostering a culture of innovation and continuous learning.
- Conduct rigorous testing and validation of AI models to ensure compliance with industry safety standards.
- Stay abreast of the global AI landscape, identifying emerging trends and technologies to integrate into our roadmap.
Qualifications
- Master’s or PhD in Computer Science, Mathematics, or a related technical field (PhD preferred).
- 5+ years of experience in machine learning research or applied AI engineering.
- Proficiency in programming languages such as Python, C++, or Java.
- Deep expertise in deep learning frameworks (PyTorch, TensorFlow, or JAX).
- Strong background in Natural Language Processing (NLP), Computer Vision, or Reinforcement Learning.
- Demonstrated experience publishing in top-tier AI conferences (NeurIPS, ICML, ICLR).
- Excellent problem-solving skills and the ability to work in a fast-paced, high-stakes environment.