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Senior AI/ML Engineer - 2026 Tech Stack

Nexus Future Labs
San Francisco
Estimated Salary
USD 165.000 – USD 235.000
New
Live Update
30 Juni 2026
Deadline
30 Jun 2027

Job Description

Join the Architects of Tomorrow

Nexus Future Labs is pioneering the 2026 Tech Stack, redefining what is possible with autonomous agents and next-generation generative AI. We are looking for a visionary Senior AI/ML Engineer to lead our research division in building scalable, ethical, and high-performance models that will dominate the landscape of the coming decade.

In this role, you will bridge the gap between theoretical research and production-grade engineering. You will work in a collaborative, high-performance environment where your code directly shapes the future of human-computer interaction.

Why Join Us?

  • Work on cutting-edge 2026-ready frameworks.
  • Competitive equity package and remote-first culture.
  • Top-tier benefits and continuous learning stipends.

Responsibilities

  • Design, develop, and deploy state-of-the-art Machine Learning models focused on the 2026 ecosystem.
  • Optimize deep learning inference pipelines for real-time latency requirements.
  • Collaborate with cross-functional teams (Product, Data Science, DevOps) to integrate AI capabilities into core products.
  • Mentor junior engineers and conduct code reviews to maintain high engineering standards.
  • Experiment with novel architectures to push the boundaries of NLP and Computer Vision.
  • Ensure data privacy, security, and compliance with industry regulations.

Qualifications

  • Ph.D. or Master’s degree in Computer Science, Mathematics, or a related field (or equivalent practical experience).
  • 5+ years of professional experience in Machine Learning and Deep Learning engineering.
  • Expert proficiency in Python, PyTorch, or TensorFlow.
  • Experience with MLOps tools (Kubeflow, MLflow) and cloud platforms (AWS, GCP, or Azure).
  • Strong understanding of distributed systems and high-scale data processing.
  • Excellent communication skills and the ability to translate complex technical concepts for diverse stakeholders.

Required Skills

Python PyTorch TensorFlow MLOps AWS GCP Deep Learning NLP Computer Vision Distributed Systems Machine Learning Engineering

Ready to Take This Challenge?

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

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