Job Description
The Future of Intelligence Starts Here.
We are seeking a visionary Senior AI/ML Engineer to join our elite team at Quantum Horizon. As we prepare for the paradigm shift of 2026, we are building the next generation of autonomous agents and multimodal AI systems. If you are passionate about pushing the boundaries of Deep Learning and Generative AI, this is your opportunity to define the standard for the industry.
Why Join Us?
Work in a state-of-the-art facility in the heart of San Francisco. You will have access to unparalleled compute resources, mentorship from industry leaders, and the autonomy to innovate without red tape.
Responsibilities
- Architect Scalable Models: Design and deploy cutting-edge Deep Learning models capable of processing complex, unstructured data streams in real-time.
- Pioneering Research: Lead internal research initiatives focusing on Large Language Models (LLMs), Reinforcement Learning from Human Feedback (RLHF), and Multimodal AI.
- Infrastructure Optimization: Improve model inference latency and reduce GPU costs by optimizing model quantization and distributed training strategies.
- Ethical AI Implementation: Develop and enforce robust guardrails and safety protocols to ensure AI outputs align with ethical standards and regulatory requirements.
- Collaboration: Partner with cross-functional teams of product managers, data scientists, and software engineers to translate technical roadmaps into production-ready applications.
Qualifications
- Education: MS or PhD in Computer Science, Mathematics, or a related technical field.
- Core Tech: Strong proficiency in Python, PyTorch, or TensorFlow with 5+ years of experience in production ML environments.
- Specialization: Deep expertise in NLP, Computer Vision, or Reinforcement Learning is highly preferred.
- Tools: Experience with MLOps platforms (e.g., Kubeflow, MLflow), cloud infrastructure (AWS/GCP), and containerization (Docker/Kubernetes).
- Communication: Ability to communicate complex technical concepts to non-technical stakeholders effectively.