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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI/ML Engineer - 2026 Vision

Nexus Future Labs
San Francisco
Estimated Salary
USD 160.000 – USD 240.000
New
Live Update
30 Juni 2026
Deadline
30 Jun 2027

Job Description

Lead the Future of Intelligence

Nexus Future Labs is at the forefront of the 2026 technological revolution. We are building the next generation of autonomous systems and predictive AI models. We are looking for a visionary Senior AI/ML Engineer to join our elite team and help define the roadmap for artificial general intelligence applications.

Why You Should Apply

As a pioneer in the 2026 niche, you will work with state-of-the-art hardware and software stacks. We offer a competitive compensation package, equity opportunities, and a culture that prioritizes innovation over convention.

Responsibilities

  • Design, train, and deploy scalable deep learning models for complex, real-world problems.
  • Architect robust MLOps pipelines to ensure model accuracy and deployment speed.
  • Collaborate with cross-functional teams of data scientists and software engineers to integrate AI solutions into core products.
  • Research and prototype cutting-edge algorithms in Natural Language Processing (NLP) and Computer Vision.
  • Lead code reviews and mentor junior engineers to foster a culture of technical excellence.
  • Define the technical vision and roadmap for our AI initiatives leading up to 2026 and beyond.

Qualifications

  • Master’s or PhD in Computer Science, Mathematics, or a related field (or equivalent professional experience).
  • 5+ years of professional experience in AI/ML engineering, with a strong portfolio of deployed projects.
  • Expert proficiency in Python, PyTorch, TensorFlow, or JAX.
  • Deep understanding of distributed computing and cloud infrastructure (AWS, GCP, or Azure).
  • Experience with large-scale data processing (Spark, Kafka) and model optimization techniques.
  • Excellent communication skills and the ability to translate complex technical concepts for non-technical stakeholders.

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning MLOps AWS GCP NLP Computer Vision Spark Kafka

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