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Information Technology 🏢 Full Time ⭐️ Verified

Senior AI/ML Engineer - San Francisco, CA

Nexus Horizon Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
1 Juli 2026
Deadline
1 Jul 2027

Job Description

We are seeking a visionary Senior AI/ML Engineer to join Nexus Horizon Labs, a pioneer in next-generation predictive analytics. In this role, you will architect scalable machine learning systems that drive our core product innovations. You will work at the intersection of deep learning and practical deployment, ensuring our models are not only state-of-the-art but also efficient and robust in production environments.

Why Join Us?

  • Work on cutting-edge projects that redefine industry standards.
  • Competitive compensation package and equity options.
  • Flexible remote-first culture with a hub in San Francisco.

We are looking for individuals who are passionate about the future of technology and possess the technical prowess to bring it to life.

Responsibilities

  • Design, train, and deploy complex machine learning models, including LLMs and computer vision systems, ensuring high accuracy and low latency.
  • Collaborate with cross-functional teams of data scientists, software engineers, and product managers to translate business requirements into technical solutions.
  • Optimize existing models for inference speed and resource efficiency using techniques such as quantization and model distillation.
  • Implement and maintain MLOps pipelines to streamline the development lifecycle, from experimentation to production deployment.
  • Conduct rigorous testing and validation of AI systems to ensure reliability and adherence to ethical AI guidelines.

Qualifications

  • Bachelor’s or Master’s degree in Computer Science, Mathematics, Statistics, or a related field.
  • 5+ years of professional experience in machine learning engineering or data science.
  • Proficiency in Python, TensorFlow, PyTorch, or similar deep learning frameworks.
  • Strong understanding of distributed systems and cloud platforms (AWS, GCP, or Azure).
  • Experience with SQL and NoSQL databases.
  • Excellent problem-solving skills and the ability to thrive in a fast-paced, agile environment.

Required Skills

Python Machine Learning Deep Learning TensorFlow PyTorch AWS MLOps SQL

Ready to Take This Challenge?

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