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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI/ML Engineer (Future Tech)

Nexus Horizon
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
New
Live Update
29 Juni 2026
Deadline
29 Jun 2027

Job Description

Are you ready to architect the future of technology in 2026? Nexus Horizon is seeking a visionary Senior AI/ML Engineer to lead our next-generation neural network initiatives. In this pivotal role, you will be at the forefront of developing autonomous systems and predictive models that will redefine human-computer interaction. If you are passionate about pushing the boundaries of Artificial Intelligence and want to work in a culture of innovation, we want to hear from you.

Why Join Nexus Horizon?

  • Work on projects that define the tech landscape of the future.
  • Competitive salary and equity package.
  • Flexible remote-first hybrid work culture.
  • Access to state-of-the-art hardware and research facilities.

Responsibilities

  • Design, implement, and deploy advanced machine learning models and deep learning architectures for large-scale applications.
  • Collaborate with cross-functional teams of data scientists, engineers, and product managers to translate business requirements into technical solutions.
  • Optimize algorithms for high performance, scalability, and energy efficiency.
  • Conduct research and stay updated on the latest advancements in AI, NLP, and Computer Vision.
  • Mentor junior engineers and conduct code reviews to maintain high technical standards.
  • Lead the integration of AI solutions into existing production environments.

Qualifications

  • Master’s or PhD in Computer Science, Artificial Intelligence, or a related quantitative field.
  • 5+ years of professional experience in machine learning engineering, preferably in a startup or high-growth tech environment.
  • Strong proficiency in Python, PyTorch, or TensorFlow.
  • Deep understanding of statistical modeling, neural networks, and natural language processing.
  • Experience with cloud platforms (AWS, GCP, or Azure) and containerization technologies (Docker, Kubernetes).
  • Proven track record of delivering production-ready AI models.

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning Cloud Computing Docker Kubernetes AWS GCP NLP Computer Vision Data Engineering

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