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Senior AI/ML Engineer - Generative AI

Vertex Dynamics
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
14 Mei 2026
Deadline
14 Mei 2027

Job Description

We are seeking a visionary Senior AI/ML Engineer to join our elite team in San Francisco. At Vertex Dynamics, we are building the next generation of intelligent systems that redefine human-machine interaction. If you are passionate about pushing the boundaries of what is possible with Generative AI, Large Language Models (LLMs), and Computer Vision, we want to hear from you.

You will be working in a fast-paced, high-impact environment where your code will directly influence millions of users. You will have the autonomy to design architectural solutions from the ground up and mentor a team of talented engineers.

Responsibilities

  • Design, develop, and deploy state-of-the-art machine learning models and algorithms.
  • Collaborate with cross-functional teams (Product, Design, Engineering) to translate complex requirements into robust technical solutions.
  • Optimize existing ML pipelines for scalability, speed, and cost-efficiency.
  • Research and implement novel techniques in NLP, Computer Vision, or Reinforcement Learning.
  • Mentor junior engineers and conduct code reviews to maintain high engineering standards.
  • Stay abreast of the latest advancements in AI research and apply them to real-world problems.

Qualifications

  • Master’s degree or PhD in Computer Science, Artificial Intelligence, or a related technical field.
  • 5+ years of professional experience in software engineering with a focus on Machine Learning.
  • Deep expertise in Python and major ML frameworks such as TensorFlow, PyTorch, or JAX.
  • Strong understanding of NLP concepts, including transformers, BERT, GPT architectures, and RAG pipelines.
  • Experience with cloud platforms (AWS, GCP, or Azure) and containerization technologies (Docker, Kubernetes).
  • Proven track record of shipping production-grade ML applications.

Required Skills

Python Machine Learning Deep Learning PyTorch TensorFlow NLP LLMs AWS Docker Kubernetes SQL

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