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Senior AI & Machine Learning Engineer - 2026 Vision

Nexus Horizon Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
11 Mei 2026
Deadline
11 Mei 2027

Job Description

About Us: Nexus Horizon Labs is at the forefront of defining the technological landscape for the year 2026. We are building next-generation AI systems that are not just advanced, but ethically grounded and scalable. We are seeking a visionary Senior AI & Machine Learning Engineer to join our elite R&D division and help architect the future of intelligent automation.

The Role:

In this pivotal role, you will lead the design, development, and deployment of state-of-the-art generative models and predictive algorithms. You will work in a high-performance environment, collaborating with cross-functional teams to integrate AI capabilities into our flagship products. If you are passionate about the trajectory of technology and want to be part of the team that sets the standard for 2026 and beyond, we want to hear from you.

Responsibilities

  • Architect and implement scalable machine learning pipelines using Python, PyTorch, and TensorFlow.
  • Lead research initiatives into Generative AI, Large Language Models (LLMs), and multimodal systems.
  • Optimize model performance for low-latency, high-throughput environments.
  • Collaborate with data scientists and product managers to translate business requirements into technical solutions.
  • Ensure ethical AI practices and data privacy compliance in all model training and deployment processes.
  • Mentor junior engineers and conduct code reviews to maintain high technical standards.

Qualifications

  • Master’s or PhD in Computer Science, Mathematics, or a related field.
  • Minimum of 5+ years of professional experience in Machine Learning or Artificial Intelligence.
  • Expert proficiency in Python and deep understanding of ML frameworks (PyTorch, TensorFlow, Scikit-learn).
  • Experience with MLOps tools (Docker, Kubernetes, MLflow) and cloud platforms (AWS, GCP, or Azure).
  • Strong understanding of NLP, Computer Vision, or Reinforcement Learning.
  • Proven track record of deploying production-grade AI models.

Required Skills

Python Machine Learning PyTorch TensorFlow NLP MLOps AWS GCP Generative AI

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