Job Description
We are looking for a pioneering AI/ML Architect to lead our research and development efforts focused on the 2026 era of artificial intelligence. In this role, you will define the architectural frameworks for next-generation generative models, ensuring they are not only performant but also compliant with emerging safety and governance standards.
At Apex Future Systems, we are building the infrastructure for tomorrow. You will work directly with our CTO and policy experts to implement robust guardrails, optimize inference latency, and pioneer scalable solutions that anticipate the regulatory landscape of 2026.
Key Highlights:
- Shape the future of AI with high-impact, forward-looking projects.
- Competitive compensation reflecting your expertise in emerging tech.
- State-of-the-art equipment and flexible remote-first culture.
Responsibilities
- Architect and deploy scalable machine learning pipelines designed for 2026-scale data volumes.
- Design and implement safety alignment layers and ethical guardrails for generative AI models.
- Lead the integration of new AI paradigms, including multimodal models and autonomous agents.
- Conduct rigorous benchmarking against projected 2026 industry standards and performance metrics.
- Mentor junior engineers and researchers to foster a culture of innovation and safety.
- Collaborate with legal and compliance teams to ensure adherence to future-ready regulatory frameworks.
Qualifications
- Master’s or Ph.D. in Computer Science, Machine Learning, or a related technical field.
- Deep expertise in Deep Learning, NLP, and Transformer architectures.
- Strong proficiency in Python, PyTorch, TensorFlow, and distributed computing frameworks (Ray, Kubernetes).
- Experience with AI safety research, RLHF (Reinforcement Learning from Human Feedback), and adversarial testing.
- Proven track record of shipping production-grade machine learning systems.
- Ability to think strategically about long-term technology trends and regulatory shifts.