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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI/ML Engineer

Nexus Innovations
San Francisco
Estimated Salary
USD 165.000 – USD 235.000
New
Live Update
29 Juni 2026
Deadline
29 Jun 2027

Job Description

TechNova Solutions is a leading pioneer in the field of Artificial Intelligence and Generative Systems. We are on a mission to build the operating system for the future, and we are looking for a visionary Senior AI/ML Engineer to join our core engineering team. If you have a passion for pushing the boundaries of what is possible with Large Language Models and scalable architecture, we want to hear from you.

Why Join Our Team?

  • Impactful Work: Engineer solutions that will power the next generation of intelligent applications.
  • Competitive Compensation: Generous base salary, equity package, and comprehensive benefits.
  • Flexible Environment: Hybrid work model based in the heart of San Francisco.

Responsibilities

  • Design, train, and deploy advanced machine learning models and neural networks with a focus on LLMs and NLP.
  • Lead the full machine learning lifecycle, from data engineering and model training to MLOps and production deployment.
  • Collaborate closely with product managers and designers to translate complex requirements into elegant technical solutions.
  • Optimize existing models for speed, accuracy, and resource efficiency in high-scale environments.
  • Conduct research to stay at the forefront of emerging AI technologies and methodologies.
  • Mentor junior engineers and contribute to building a culture of technical excellence and innovation.

Qualifications

  • Master’s degree in Computer Science, Statistics, Mathematics, or a related technical field (PhD preferred).
  • Minimum of 5+ years of professional experience in Machine Learning, AI, or Data Science.
  • Expert proficiency in Python and deep experience with frameworks such as PyTorch or TensorFlow.
  • Strong experience with cloud platforms (AWS, GCP, or Azure) and containerization technologies (Docker, Kubernetes).
  • Proven track record of shipping production-ready AI products and managing MLOps pipelines.
  • Excellent problem-solving skills and the ability to communicate complex technical concepts to non-technical stakeholders.

Required Skills

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

Ready to Take This Challenge?

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