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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI/ML Engineer

Nexus Future Labs
San Francisco
Estimated Salary
USD 165.000 – USD 230.000
Live Update
2 Juli 2026
Deadline
2 Jul 2027

Job Description

We are looking for a visionary Senior AI/ML Engineer to lead the next generation of generative intelligence at Nexus Future Labs. If you are passionate about building scalable machine learning systems and shaping the future of technology, we want to hear from you.

In this high-impact role, you will bridge the gap between cutting-edge research and production-grade software. You will work closely with our data science team to deploy state-of-the-art models that power our core products.

Why Join Us?
β€’ Competitive compensation package
β€’ Equity and stock options
β€’ Top-tier health, dental, and vision insurance
β€’ Flexible remote-first work culture

Responsibilities

  • Develop, train, and deploy high-performance machine learning models using Python, PyTorch, and TensorFlow.
  • Design and optimize data pipelines for large-scale training and inference.
  • Collaborate with cross-functional teams to integrate AI solutions into existing products.
  • Mentor junior engineers and contribute to code reviews and architectural decisions.
  • Research and implement novel techniques in Natural Language Processing (NLP) and Computer Vision.
  • Ensure model scalability, reliability, and security in production environments.

Qualifications

  • Master’s or PhD in Computer Science, Mathematics, or a related field (or equivalent practical experience).
  • 5+ years of experience in machine learning engineering.
  • Strong proficiency in Python, SQL, and major ML frameworks (PyTorch, TensorFlow, Scikit-learn).
  • Experience with MLOps tools (Docker, Kubernetes, MLflow, Airflow).
  • Deep understanding of deep learning architectures and optimization techniques.
  • Excellent problem-solving skills and ability to communicate complex technical concepts clearly.

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning NLP MLOps 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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