Job Description
The Opportunity: Apex Horizon Systems is pioneering the next generation of sentient infrastructure with our flagship The 2026 Initiative. We are seeking a visionary Senior Machine Learning Engineer to architect the neural networks that will redefine urban mobility in the coming decade.
In this role, you won't just be maintaining models; you will be building the future. You will work at the intersection of generative AI, real-time sensor fusion, and edge computing, ensuring our systems are robust, scalable, and ethically sound.
Why Join Us?
- Work on a mission-critical project that sets the standard for 2026 and beyond.
- Competitive compensation package including equity and performance bonuses.
- Access to state-of-the-art hardware for rapid prototyping.
- A culture of innovation where your code impacts millions of lives.
Responsibilities
- Design and deploy state-of-the-art deep learning models for autonomous perception and decision-making.
- Optimize neural networks for low-latency inference on embedded edge devices.
- Collaborate with the 2026 Initiative research team to translate theoretical breakthroughs into production code.
- Conduct rigorous testing and validation to ensure system safety and reliability in complex environments.
- Mentor junior engineers and conduct code reviews to maintain high technical standards.
- Stay abreast of the latest advancements in AI safety, interpretability, and generative architectures.
Qualifications
- PhD or Master’s degree in Computer Science, Electrical Engineering, or a related quantitative field.
- 5+ years of professional experience in machine learning, deep learning, or robotics.
- Strong proficiency in Python, PyTorch, or TensorFlow.
- Proven experience with large-scale distributed training and MLOps pipelines.
- Experience with sensor fusion (LiDAR, Radar, Camera) is highly preferred.
- Track record of publishing in top-tier conferences (NeurIPS, ICML, CVPR) or open-sourcing significant projects.