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Senior AI/ML Engineer: Architecting the Future (2026 Vision)

Nexus Horizon Labs
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
Live Update
22 Mei 2026
Deadline
22 Mei 2027

Job Description

We are seeking a visionary Senior AI/ML Engineer to join our elite R&D team at Nexus Horizon Labs. As we prepare for the technological paradigm shift of 2026, we are building the infrastructure that will redefine human-computer interaction. You will not just be maintaining existing models; you will be architecting the next generation of generative AI agents, ensuring scalability, ethical alignment, and unprecedented performance.

Why Join Us?
We are a fully remote-first company driving the future of intelligence. You will have the autonomy to experiment, the resources to deploy at scale, and the opportunity to work on projects that will impact billions.

Responsibilities

  • Design, train, and deploy state-of-the-art Large Language Models (LLMs) and multimodal systems focused on the 2026 roadmap.
  • Optimize inference pipelines for low-latency, high-throughput environments using techniques like quantization and distillation.
  • Lead the research and implementation of novel AI architectures, including autonomous agents and reinforcement learning agents.
  • Collaborate with cross-functional teams (Product, Engineering, Ethics) to ensure AI safety and alignment.
  • Mentor junior engineers and data scientists, fostering a culture of technical excellence and innovation.
  • Stay ahead of the curve by researching emerging trends in AI, such as NeRFs, diffusion models, and next-gen transformer architectures.

Qualifications

  • Ph.D. or Master’s degree in Computer Science, Machine Learning, or a related technical field.
  • 5+ years of professional experience in deep learning, NLP, or computer vision.
  • Expert proficiency in Python, PyTorch, and TensorFlow.
  • Strong understanding of distributed computing, cloud infrastructure (AWS/GCP), and MLOps practices.
  • Experience with fine-tuning pre-trained models (e.g., GPT-4, Llama 3) for specific enterprise applications.
  • Demonstrated ability to publish in top-tier conferences (NeurIPS, ICML, ACL) or open-source contributions.

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning NLP LLMs MLOps AWS Docker Kubernetes CUDA Reinforcement Learning

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