Job Description
Are you ready to define the Future Tech 2026 landscape? Horizon Digital is at the bleeding edge of innovation, building next-generation artificial intelligence systems that will redefine human-machine interaction. We are seeking a visionary Senior AI/ML Engineer to join our elite technical team in San Francisco. In this role, you will architect and deploy scalable machine learning models that power the future of our platform.
Why Join Us?
We offer a competitive compensation package, equity options, and the opportunity to work on high-impact projects that matter. Our culture is built on transparency, continuous learning, and a relentless drive for excellence.
The Role:
As a Senior AI/ML Engineer, you will lead the development of advanced algorithms and neural networks. You will collaborate with cross-functional teams to integrate AI solutions into our core products, ensuring optimal performance and user experience. This is a chance to be at the forefront of the technological revolution.
Responsibilities
- Model Development: Design, train, and deploy state-of-the-art machine learning and deep learning models using Python and modern frameworks.
- System Architecture: Build scalable cloud infrastructure to support high-volume data processing and AI inference.
- Optimization: Continuously optimize model accuracy, reduce latency, and improve computational efficiency for real-time applications.
- Research & Innovation: Stay abreast of the latest research in the 2026 tech ecosystem (e.g., Generative AI, Quantum-inspired algorithms) and apply cutting-edge techniques.
- Collaboration: Work closely with data scientists, software engineers, and product managers to translate business requirements into technical solutions.
- Mentorship: Guide junior engineers and conduct code reviews to maintain high technical standards across the team.
Qualifications
- Education: Master’s or PhD in Computer Science, Artificial Intelligence, Mathematics, or a related technical field.
- Experience: 5+ years of professional experience in machine learning engineering, deep learning, or a similar technical role.
- Technical Skills: Proficiency in Python, PyTorch, TensorFlow, or JAX. Strong experience with SQL and NoSQL databases.
- Cloud Expertise: Deep understanding of cloud platforms (AWS, GCP, or Azure) and containerization technologies (Docker, Kubernetes).
- Programming: Solid grasp of distributed systems and software engineering best practices.
- Communication: Excellent written and verbal communication skills with the ability to explain complex technical concepts to non-technical stakeholders.