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Information Technology 🏢 Full Time ⭐️ Verified

Senior AI/ML Engineer - 2026 Initiative

NextGen Dynamics
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
Live Update
30 Juni 2026
Deadline
30 Jun 2027

Job Description

We are on a mission to redefine the boundaries of artificial intelligence. Join our elite team in San Francisco as a Senior AI/ML Engineer, where you will spearhead the 2026 Initiative—a cutting-edge project focused on developing autonomous, adaptive AI systems for the next generation of enterprise applications.

Why Join Us?

At NextGen Dynamics, we don't just build software; we engineer the future. You will have the autonomy to experiment with the latest research, deploy models at scale, and mentor a team of passionate engineers.

Key Responsibilities

  • Design, develop, and deploy state-of-the-art machine learning models and neural architectures.
  • Collaborate with cross-functional teams to integrate AI solutions into production environments.
  • Optimize model inference latency and cost-effectiveness for high-volume applications.
  • Conduct rigorous code reviews and architectural planning for the 2026 roadmap.
  • Stay ahead of the curve by researching emerging trends in Generative AI and Reinforcement Learning.

Qualifications

  • Master’s degree or PhD in Computer Science, Mathematics, or a related field.
  • 5+ years of professional experience in Machine Learning Engineering or Applied AI.
  • Proficiency in Python, PyTorch, and TensorFlow.
  • Strong understanding of MLOps, CI/CD pipelines, and cloud infrastructure (AWS/GCP).
  • Experience with Large Language Models (LLMs) and Natural Language Processing (NLP).

Responsibilities

  • Design, develop, and deploy state-of-the-art machine learning models and neural architectures.
  • Collaborate with cross-functional teams to integrate AI solutions into production environments.
  • Optimize model inference latency and cost-effectiveness for high-volume applications.
  • Conduct rigorous code reviews and architectural planning for the 2026 roadmap.
  • Stay ahead of the curve by researching emerging trends in Generative AI and Reinforcement Learning.
  • Qualifications

  • Master’s degree or PhD in Computer Science, Mathematics, or a related field.
  • 5+ years of professional experience in Machine Learning Engineering or Applied AI.
  • Proficiency in Python, PyTorch, and TensorFlow.
  • Strong understanding of MLOps, CI/CD pipelines, and cloud infrastructure (AWS/GCP).
  • Experience with Large Language Models (LLMs) and Natural Language Processing (NLP).
  • Required Skills

    Python PyTorch TensorFlow Machine Learning MLOps AWS GCP NLP Generative AI Deep Learning

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