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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Research Engineer - 2026 Initiative

Nexus 2026 Solutions
San Francisco
Estimated Salary
USD 180.000 – USD 240.000
Live Update
21 Mei 2026
Deadline
21 Mei 2027

Job Description

Are you ready to lead the technological revolution of the future? Nexus 2026 Solutions is seeking a visionary Senior AI Research Engineer to spearhead our next-generation artificial intelligence projects.

We are building the infrastructure for the year 2026 and beyond. In this role, you will not just use existing tools; you will help define the tools of tomorrow. You will work on cutting-edge Large Language Models (LLMs), autonomous agents, and predictive analytics platforms.

Join a team of elite engineers and scientists dedicated to pushing the boundaries of what is possible in tech.

Responsibilities

  • Lead Research: Design and implement novel machine learning algorithms focused on scalability and efficiency.
  • Strategic Development: Architect robust AI systems that integrate seamlessly with legacy infrastructure.
  • Model Optimization: Fine-tune and deploy state-of-the-art models to production environments.
  • Cross-Functional Leadership: Collaborate with product managers and data scientists to translate business goals into technical solutions.
  • Mentorship: Guide junior engineers and conduct code reviews to maintain high technical standards.

Qualifications

  • Education: Master’s or PhD in Computer Science, Mathematics, or a related field (PhD preferred).
  • Experience: 5+ years of professional experience in AI/ML engineering, including 2+ years in a leadership role.
  • Technical Skills: Proficiency in Python, PyTorch, TensorFlow, and experience with MLOps pipelines.
  • Problem Solving: Demonstrated ability to tackle complex, unstructured problems in dynamic environments.
  • Communication: Excellent written and verbal communication skills for technical documentation and stakeholder presentations.

Required Skills

Python Machine Learning Deep Learning NLP PyTorch TensorFlow MLOps SQL Cloud Computing Leadership

Ready to Take This Challenge?

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