Job Description
We are looking for a visionary Senior AI Engineer to join Apex Horizon Systems, a pioneer in next-generation artificial intelligence solutions. As we build the infrastructure for 2026, we need a technical leader who thrives on complex challenges and pushing the boundaries of what's possible.
About the Role
In this pivotal role, you will design and deploy state-of-the-art machine learning models that power our proprietary neural networks. You will work directly with our research team to bridge the gap between theoretical AI and production-grade applications, ensuring scalability, efficiency, and ethical AI practices.
Why Join Us?
- Work on cutting-edge projects that define the future of tech.
- Competitive compensation and equity packages.
- Flexible remote-first culture with premium office amenities in San Francisco.
Responsibilities
- Model Architecture: Design and implement advanced machine learning algorithms and neural network architectures tailored for high-scale deployment.
- Optimization: Optimize existing models for inference speed and reduced latency in real-time environments.
- MLOps: Build and maintain robust MLOps pipelines using tools like Kubernetes, Docker, and MLflow to ensure seamless model deployment and monitoring.
- Data Strategy: Collaborate with data engineers to curate high-quality training datasets and implement data governance protocols.
- Technical Leadership: Mentor junior engineers and conduct code reviews to maintain high engineering standards across the team.
- Research Integration: Stay abreast of the latest advancements in AI research (e.g., LLMs, Generative AI) and integrate relevant methodologies into our product suite.
Qualifications
- Education: Master’s or Ph.D. in Computer Science, Artificial Intelligence, or a related field.
- Experience: 5+ years of professional experience in software engineering or machine learning development.
- Programming: Expert proficiency in Python and deep understanding of C++ for performance-critical applications.
- Frameworks: Strong hands-on experience with PyTorch, TensorFlow, or JAX.
- Cloud & Infrastructure: Proven track record of deploying models on AWS, GCP, or Azure using containerization technologies.
- Problem Solving: Demonstrated ability to troubleshoot complex system failures and optimize system performance under pressure.