Job Description
Are you ready to shape the future of intelligence?
Apex Horizon Systems is pioneering the next generation of generative AI architectures. We are looking for a visionary Senior AI Engineer to join our elite team in San Francisco. If you are passionate about solving complex problems and pushing the boundaries of what is possible in 2026 and beyond, we want to hear from you.
In this role, you will be at the forefront of innovation, designing and deploying scalable machine learning models that power our core products. You will work in a fast-paced, collaborative environment alongside world-class researchers and engineers.
Why join us?
- Competitive salary and equity package.
- Unlimited PTO and flexible remote-first culture.
- Access to cutting-edge hardware and compute resources.
Responsibilities
- Design, train, and deploy state-of-the-art deep learning models, focusing on Large Language Models (LLMs) and computer vision.
- Collaborate with cross-functional teams (Product, Data Science, Engineering) to define AI roadmaps and implementation strategies.
- Optimize model inference pipelines to ensure high performance and low latency in production environments.
- Conduct cutting-edge research to improve model accuracy, robustness, and efficiency.
- Mentor junior engineers and conduct code reviews to maintain high engineering standards.
- Stay abreast of the latest developments in the AI landscape and integrate relevant technologies into our stack.
Qualifications
- Master’s or Ph.D. in Computer Science, Mathematics, or a related field.
- 5+ years of professional experience in AI/ML engineering, preferably in a startup or high-growth environment.
- Expert proficiency in Python and deep learning frameworks such as PyTorch or TensorFlow.
- Strong understanding of MLOps practices, containerization (Docker/Kubernetes), and cloud platforms (AWS/GCP).
- Experience with transformer architectures and prompt engineering techniques.
- Excellent problem-solving skills and the ability to communicate complex technical concepts to non-technical stakeholders.