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Senior AI Research Engineer (2026 Vision)

Nexus Horizon Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
12 Mei 2026
Deadline
12 Mei 2027

Job Description

We are seeking a visionary Senior AI Research Engineer to spearhead our initiatives leading into 2026. At Nexus Horizon Labs, we are not just building software; we are architecting the future of intelligent systems. You will work at the intersection of deep learning, generative AI, and scalable infrastructure to solve complex problems that define the next generation of technology.

In this role, you will lead high-impact research projects, mentor junior engineers, and collaborate with cross-functional teams to deploy state-of-the-art models into production environments. If you are passionate about pushing the boundaries of what is possible and want to be at the forefront of the AI revolution, we want to meet you.

Responsibilities

  • Design, develop, and deploy advanced machine learning models with a focus on generative AI and predictive analytics.
  • Lead research initiatives to explore novel algorithms that align with our 2026 strategic roadmap.
  • Optimize model inference and training pipelines for high-volume, low-latency environments.
  • Mentor a team of data scientists and engineers, fostering a culture of innovation and technical excellence.
  • Collaborate with product managers and stakeholders to translate business needs into technical solutions.
  • Evaluate and integrate cutting-edge open-source tools and frameworks to enhance our technology stack.

Qualifications

  • Master’s or PhD in Computer Science, Statistics, Mathematics, or a related technical field.
  • 5+ years of professional experience in machine learning, deep learning, or AI research.
  • Strong proficiency in Python, PyTorch, or TensorFlow.
  • Experience with large-scale distributed systems and cloud platforms (AWS, GCP, or Azure).
  • Deep understanding of NLP, Computer Vision, or Reinforcement Learning.
  • Proven track record of publishing in top-tier conferences (NeurIPS, ICML, ACL, CVPR) or equivalent.

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning NLP AWS GCP Docker Kubernetes Data Science AI Research

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