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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI/ML Engineer 2024

Nexus Horizon
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
New
Live Update
1 Juli 2026
Deadline
1 Jul 2027

Job Description

We are on a mission to redefine the boundaries of artificial intelligence. Nexus Horizon is seeking a visionary Senior AI/ML Engineer to join our elite engineering team in San Francisco. In this role, you will architect scalable machine learning systems that power our next-generation products, working directly with cutting-edge LLMs and deep learning architectures.

As a leader in the field, you will not only build robust models but also mentor a team of rising stars, ensuring our technical stack remains at the forefront of innovation. If you are passionate about the future of AI and want to solve complex problems at scale, we want to meet you.

Responsibilities

  • Design, train, and deploy state-of-the-art machine learning models and deep neural networks using Python and modern frameworks.
  • Collaborate with product managers and data scientists to translate business requirements into technical AI solutions.
  • Optimize inference pipelines and reduce latency for real-time applications serving millions of users.
  • Conduct rigorous A/B testing and model evaluation to drive continuous improvement in accuracy and efficiency.
  • Mentor junior engineers and conduct code reviews to maintain high standards of software engineering and data hygiene.
  • Stay abreast of the latest research in NLP, Computer Vision, or Reinforcement Learning to integrate novel techniques.
  • Ensure data privacy, security, and ethical AI practices are embedded in every layer of the infrastructure.

Qualifications

  • PhD or Master’s degree in Computer Science, Mathematics, Statistics, or a related field.
  • Minimum of 5+ years of professional experience in software engineering or machine learning.
  • Strong proficiency in Python, C++, and SQL.
  • Deep experience with deep learning frameworks such as PyTorch or TensorFlow.
  • Proven track record of deploying scalable models to production environments (e.g., AWS, GCP, Azure).
  • Experience with Large Language Models (LLMs), RAG architectures, and vector databases.
  • Excellent communication skills with the ability to explain complex technical concepts to non-technical stakeholders.

Required Skills

Python PyTorch TensorFlow AWS Machine Learning Deep Learning SQL NLP LLM Data Engineering Agile Scrum

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