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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI/ML Engineer

Nexus 2026 Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
1 Juli 2026
Deadline
1 Jul 2027

Job Description

Are you ready to architect the intelligence of tomorrow? Nexus 2026 Labs is pioneering the next era of human-computer interaction through advanced Artificial Intelligence. We are seeking a visionary Senior AI/ML Engineer to lead our core research division in San Francisco.

In this pivotal role, you will design and deploy state-of-the-art deep learning models that power our next-generation platform. We value engineers who are not just proficient in current tools but are obsessed with the bleeding edge of technology.

Responsibilities

  • Design, train, and deploy scalable machine learning models and deep neural networks.
  • Collaborate with cross-functional teams of data scientists, engineers, and product managers to define AI requirements.
  • Optimize model inference for low latency and high throughput in production environments.
  • Research and implement cutting-edge algorithms in Generative AI and Large Language Models (LLMs).
  • Establish best practices for data governance, model versioning, and CI/CD pipelines for AI.
  • Conduct rigorous testing and validation to ensure model robustness and accuracy.

Qualifications

  • Master’s degree or PhD in Computer Science, Mathematics, Statistics, or a related technical field.
  • Minimum of 5 years of professional experience in Machine Learning or Artificial Intelligence.
  • Strong proficiency in Python and deep learning frameworks such as PyTorch or TensorFlow.
  • Proven experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker/Kubernetes).
  • Experience with MLOps tools (MLflow, Kubeflow) and distributed computing systems.
  • Excellent problem-solving skills and the ability to communicate complex technical concepts to non-technical stakeholders.

Required Skills

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

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