Job Description
Shape the Future of Intelligence.
Apex Horizon Technologies is pioneering the technologies that will define the year 2026 and beyond. We are seeking a visionary Next-Gen AI Software Engineer to lead our cutting-edge research and development initiatives. If you are passionate about building scalable, ethical, and high-performance AI systems that solve complex global challenges, we want to meet you.
In this role, you won't just be maintaining legacy systems; you will be architecting the neural foundations of tomorrow.
Why Join Us?
- Work on projects that are 3-5 years ahead of the market curve.
- Competitive compensation package and equity options.
- Flexible remote-first culture with premium San Francisco amenities.
Responsibilities
- Architect Next-Gen AI Systems: Design and implement scalable neural network architectures optimized for 2026 latency and throughput standards.
- Roadmap Leadership: Define technical strategies for emerging AI trends, including Generative AI, Edge Computing, and Autonomous Agents.
- Ethical AI Implementation: Ensure all models adhere to strict ethical guidelines and bias mitigation protocols.
- High-Performance Computing: Optimize algorithms for deployment on distributed cloud environments and edge devices.
- Technical Mentorship: Guide a team of junior engineers and data scientists in best practices for machine learning operations (MLOps).
- Cross-Functional Collaboration: Partner with product managers and designers to translate complex AI capabilities into user-centric experiences.
Qualifications
- Education: MS or PhD in Computer Science, Machine Learning, or a related quantitative field (or equivalent practical experience).
- Experience: 5+ years of professional experience in software engineering with a focus on AI/ML.
- Technical Stack: Proficiency in Python, PyTorch, TensorFlow, or JAX.
- System Design: Deep understanding of distributed systems, microservices, and cloud infrastructure (AWS/GCP/Azure).
- Problem Solving: Proven track record of solving complex algorithmic problems with a focus on efficiency and scalability.
- Communication: Excellent ability to communicate complex technical concepts to non-technical stakeholders.