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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
Live Update
12 Mei 2026
Deadline
12 Mei 2027

Job Description

Join Nexus Dynamics as we architect the intelligent systems of tomorrow. We are looking for a visionary Senior AI/ML Engineer to lead our research and development initiatives focused on generative AI, large language models, and autonomous agents. If you are passionate about pushing the boundaries of what is possible in 2026 and beyond, we want to hear from you.

Why Join Us?

β€’ Work on cutting-edge projects that define the future of technology.

β€’ Competitive salary and equity package.

β€’ Flexible remote and hybrid work options.

β€’ Top-tier health, dental, and vision coverage.

Responsibilities

  • Model Development: Design, train, and fine-tune state-of-the-art deep learning models for natural language processing and computer vision applications.
  • System Architecture: Build scalable MLOps pipelines to ensure efficient model deployment and monitoring in production environments.
  • Research & Innovation: Stay at the forefront of AI research, implementing novel techniques like Retrieval-Augmented Generation (RAG) and multimodal learning.
  • Collaboration: Partner with cross-functional product teams to translate complex business requirements into robust AI solutions.
  • Optimization: Continuously optimize model inference latency and resource consumption to ensure high performance under load.

Qualifications

  • Education: Master’s or PhD degree in Computer Science, Machine Learning, or a related quantitative field.
  • Experience: 5+ years of professional experience in machine learning engineering, with a strong portfolio of deployed models.
  • Technical Skills: Proficiency in Python, PyTorch, or TensorFlow; extensive experience with cloud platforms (AWS/GCP/Azure) and containerization (Docker/Kubernetes).
  • Domain Knowledge: Deep understanding of transformer architectures, NLP, and large language model fine-tuning methodologies.
  • Problem Solving: Demonstrated ability to tackle complex technical challenges and drive projects from conception to completion.

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning NLP AWS MLOps Docker Kubernetes GPT Transformer

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