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Information Technology 🏢 Full Time ⭐️ Verified

Senior Machine Learning Engineer (Year 2026)

Nexus Future AI
San Francisco
Estimated Salary
USD 160.000 – USD 240.000
Live Update
17 Mei 2026
Deadline
17 Mei 2027

Job Description

We are on a mission to define the technological landscape of 2026 and beyond. Nexus Future AI is seeking a visionary Senior Machine Learning Engineer to join our elite research division.

In this role, you will not just use existing tools; you will help build the frameworks that power autonomous systems, generative models, and predictive intelligence at scale. If you are passionate about the intersection of deep learning and real-world impact, this is your opportunity to lead the future.

Why Join Us?
We offer competitive equity packages, a fully remote-first culture, and the chance to work on projects that redefine human-machine interaction.

Responsibilities

  • Architect and train state-of-the-art deep learning models for scalable deployment.
  • Collaborate with cross-functional teams to integrate AI solutions into core product pipelines.
  • Research and implement novel algorithms to solve complex, unstructured problems.
  • Optimize model inference latency and accuracy for edge devices and cloud infrastructure.
  • Establish best practices for data governance, ethical AI, and model monitoring.

Qualifications

  • Ph.D. or M.S. in Computer Science, Mathematics, or a related field.
  • 5+ years of professional experience in machine learning or artificial intelligence.
  • Expert proficiency in Python, PyTorch, and TensorFlow.
  • Strong understanding of NLP, Computer Vision, or Reinforcement Learning.
  • Experience with cloud platforms (AWS/GCP) and containerization (Docker/Kubernetes).

Required Skills

Machine Learning Deep Learning Python PyTorch TensorFlow NLP Computer Vision AWS Docker Kubernetes AI Architecture

Ready to Take This Challenge?

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

Apply Now

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