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Information Technology 🏢 Full Time ⭐️ Verified

Senior AI/ML Engineer

Nexus Dynamics
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
New
Live Update
20 Mei 2026
Deadline
20 Mei 2027

Job Description

We are Nexus Dynamics, a cutting-edge technology firm pioneering the next generation of generative AI and autonomous systems. We are seeking a visionary Senior AI/ML Engineer to join our elite R&D team in San Francisco. In this role, you will architect scalable machine learning infrastructure, fine-tune large language models, and deploy intelligent solutions that redefine industry standards. If you are passionate about pushing the boundaries of artificial intelligence and want to work in a dynamic, high-performance environment, we want to hear from you.

Why Join Us?

  • Competitive Compensation: $180k - $260k base salary + equity package.
  • Flexible Environment: Hybrid work model in the heart of SF.
  • Impact: Work on projects that directly influence millions of users globally.

Responsibilities

  • Design, train, and deploy state-of-the-art machine learning models and neural networks.
  • Collaborate with cross-functional teams of data scientists, engineers, and product managers to define AI product requirements.
  • Optimize and scale existing models for production environments, ensuring low latency and high throughput.
  • Conduct rigorous data analysis, feature engineering, and model evaluation to drive continuous improvement.
  • Implement MLOps pipelines using Docker, Kubernetes, and CI/CD tools for automated model deployment.
  • Stay abreast of the latest advancements in AI research and integrate new methodologies into our tech stack.

Qualifications

  • Bachelor’s, Master’s, or PhD degree in Computer Science, Machine Learning, or a related quantitative field.
  • 5+ years of professional experience in AI/ML engineering, with a strong portfolio of deployed models.
  • Expert proficiency in Python, PyTorch, TensorFlow, or JAX.
  • Deep understanding of NLP, Computer Vision, or Reinforcement Learning.
  • Experience with cloud platforms (AWS, GCP, or Azure) and big data technologies (Spark, Hadoop).
  • Strong problem-solving skills and ability to thrive in a fast-paced, agile environment.

Required Skills

Python PyTorch TensorFlow NLP Machine Learning Deep Learning MLOps Docker Kubernetes AWS GCP Spark SQL

Ready to Take This Challenge?

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