Job Description
Are you ready to architect the future of intelligent systems?
Nexus Horizon Labs is seeking a visionary Senior Machine Learning Engineer to lead our cutting-edge Generative AI initiatives. As we prepare for the next decade of technological evolution, we need a technical leader who can bridge the gap between theoretical AI research and scalable, production-ready applications. If you thrive in a fast-paced, high-impact environment and want to define the standards for AI in 2026 and beyond, this is your opportunity.
Why Join Us?
- Work with state-of-the-art Large Language Models (LLMs) and multimodal architectures.
- Competitive equity package and top-tier compensation.
- Flexible remote-first culture with a central hub in San Francisco.
Join us in building the digital brain of tomorrow.
Responsibilities
- Model Development: Design, train, and fine-tune large-scale generative models using PyTorch and TensorFlow.
- System Optimization: Implement efficient inference pipelines and optimize model latency for real-time applications.
- Research Integration: Stay abreast of the latest academic papers and industry trends to integrate novel architectures into our product suite.
- Infrastructure: Build and maintain robust MLOps pipelines for continuous training and deployment.
- Collaboration: Partner with cross-functional teams of engineers, product managers, and designers to translate business needs into AI solutions.
- Mentorship: Guide junior engineers and data scientists, fostering a culture of technical excellence and innovation.
Qualifications
- Education: Master’s or Ph.D. in Computer Science, Mathematics, or a related field (or equivalent practical experience).
- Experience: 5+ years of professional experience in Machine Learning or Deep Learning engineering.
- Technical Skills: Proficiency in Python, C++, and strong knowledge of deep learning frameworks.
- LLM Expertise: Proven experience working with GPT, Llama, or similar transformer architectures.
- Infrastructure: Experience with cloud platforms (AWS/GCP) and containerization (Docker, Kubernetes).
- Communication: Exceptional ability to explain complex technical concepts to non-technical stakeholders.