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Senior AI/ML Engineer

Nexus Future Tech
San Francisco
Estimated Salary
USD 185.000 – USD 260.000
New
Live Update
30 Juni 2026
Deadline
30 Jun 2027

Job Description

Shape the Future of Intelligence

Nexus Future Tech is pioneering the next generation of generative AI and autonomous systems. We are looking for a visionary Senior AI/ML Engineer to join our elite R&D team. If you are passionate about pushing the boundaries of what is possible with Large Language Models (LLMs) and computer vision, this is your opportunity to lead high-impact projects in a fast-paced, innovative environment.


Why Join Us?

  • Work with state-of-the-art AI frameworks and cutting-edge hardware.
  • Competitive equity package and top-tier compensation.
  • Flexible remote-first culture with quarterly team retreats.

Role Overview:

As a Senior AI/ML Engineer, you will be responsible for designing, training, and deploying scalable machine learning models that power our core products. You will bridge the gap between research and production, ensuring our models are robust, efficient, and ethically sound.

Responsibilities

  • Architect and train complex deep learning models using PyTorch and TensorFlow.
  • Optimize existing models for production environments, focusing on latency, throughput, and memory efficiency.
  • Implement and maintain MLOps pipelines using Kubernetes, Docker, and cloud infrastructure (AWS/GCP).
  • Collaborate with product managers and data scientists to define AI feature requirements.
  • Conduct rigorous A/B testing and model evaluation to ensure high accuracy and reliability.
  • Stay current with the latest research in the AI community and integrate novel techniques into our stack.

Qualifications

  • PhD or Master’s degree in Computer Science, Mathematics, or a related technical field.
  • 5+ years of professional experience in machine learning, deep learning, or NLP.
  • Strong proficiency in Python, C++, and SQL.
  • Extensive experience with LLMs (e.g., GPT, BERT, Llama) and fine-tuning strategies.
  • Deep understanding of distributed computing and cloud-native architecture.
  • Excellent communication skills and the ability to mentor junior engineers.

Required Skills

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

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