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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI/ML Engineer 2026

Nexus Future Systems
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
30 Juni 2026
Deadline
30 Jun 2027

Job Description

We are building the infrastructure that will define the technological landscape by 2026. Nexus Future Systems is seeking a visionary Senior AI/ML Engineer to lead our next-generation intelligence division. In this role, you won't just implement existing models; you will architect the neural frameworks and predictive systems that will power the autonomous solutions of tomorrow. Join a team of elite engineers and researchers dedicated to pushing the boundaries of what is possible in artificial intelligence.

Why Join Us?

  • Shape the roadmap for 2026 and beyond.
  • Work with state-of-the-art hardware and cloud ecosystems.
  • Competitive equity package and remote-first flexibility.

Responsibilities

  • Design and implement scalable machine learning architectures designed for high-velocity data processing.
  • Lead the research and development of advanced deep learning models, including NLP and computer vision applications.
  • Collaborate with cross-functional product teams to translate complex data requirements into robust technical solutions.
  • Mentor junior engineers and data scientists, fostering a culture of continuous learning and innovation.
  • Optimize existing algorithms for improved latency, accuracy, and resource efficiency in production environments.
  • Stay ahead of emerging AI trends to ensure our technology stack remains relevant through 2026.

Qualifications

  • Master’s or PhD degree in Computer Science, Engineering, Mathematics, or a related quantitative field.
  • Minimum of 5 years of professional experience in machine learning, deep learning, or AI engineering.
  • Expert proficiency in Python, TensorFlow, PyTorch, and Scikit-learn.
  • Strong experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes).
  • Proven ability to deploy and maintain large-scale ML models in production.
  • Exceptional problem-solving skills and a deep understanding of statistical modeling.

Required Skills

Python Machine Learning Deep Learning TensorFlow PyTorch Cloud Computing AWS GCP Docker Kubernetes NLP Computer Vision Agile Statistical Modeling

Ready to Take This Challenge?

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