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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI/ML Engineer

Nexus Future Labs
San Francisco
Estimated Salary
USD 160.000 – USD 240.000
New
Live Update
12 Juli 2026
Deadline
12 Jul 2027

Job Description

Are you ready to engineer the future?

Nexus Future Labs is seeking a visionary Senior AI/ML Engineer to join our elite team in San Francisco. We are at the forefront of developing next-generation artificial intelligence solutions that will redefine human-computer interaction. If you possess a deep understanding of machine learning architectures and a passion for solving complex problems, we want to hear from you.

In this role, you will be instrumental in building scalable, robust, and efficient machine learning models that power our core products. You will work in a collaborative environment where innovation is encouraged and cutting-edge technology is the norm.

Responsibilities

  • Design & Deploy: Design, train, and deploy state-of-the-art machine learning models and AI systems that scale with our user base.
  • Research & Development: Stay at the cutting edge of the AI landscape, researching and implementing novel algorithms to improve product performance.
  • Model Optimization: Continuously monitor, evaluate, and optimize model accuracy, latency, and resource efficiency.
  • Collaboration: Partner with product managers, data scientists, and software engineers to translate business requirements into technical solutions.
  • Infrastructure: Build and maintain robust MLOps pipelines to ensure seamless model deployment and monitoring.

Qualifications

  • Education: Master’s or PhD in Computer Science, Mathematics, or a related field; equivalent practical experience is highly valued.
  • Technical Skills: Proficiency in Python, PyTorch, TensorFlow, or Scikit-learn.
  • Experience: 5+ years of experience in building production-level machine learning systems.
  • Domain Knowledge: Strong background in Natural Language Processing (NLP) or Computer Vision is a plus.
  • Cloud Expertise: Hands-on experience with cloud platforms (AWS, GCP, or Azure) and containerization technologies (Docker, Kubernetes).

Required Skills

Python Machine Learning Deep Learning TensorFlow PyTorch NLP Computer Vision Cloud Computing AWS GCP Docker Kubernetes SQL

Ready to Take This Challenge?

Make sure your resume is ready. Submit your application now before the deadline.

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