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Senior AI Engineer - San Francisco, CA

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

Job Description

Are you ready to define the future of Artificial Intelligence? At Nexus Future Labs, we are pioneering next-generation machine learning solutions that push the boundaries of what's possible. We are seeking a visionary Senior AI Engineer to join our elite engineering team and drive innovation in the heart of Silicon Valley.

Why Join Us?

Work with cutting-edge technology. Competitive compensation. A culture of autonomy and impact. We are not just building models; we are building the future of intelligence.

Responsibilities

  • Lead Model Development: Design, train, and deploy advanced machine learning models and deep neural networks that scale to millions of users.
  • Algorithm Optimization: Research and implement novel algorithms to improve model accuracy, speed, and efficiency.
  • System Architecture: Collaborate with backend teams to integrate AI models into robust, scalable microservices architectures.
  • Technical Leadership: Mentor junior engineers and conduct code reviews to maintain high technical standards across the organization.
  • Data Strategy: Partner with data scientists to curate datasets and define data pipelines that fuel our AI initiatives.
  • Deployment: Manage the full lifecycle of AI models from experimentation in Jupyter notebooks to production environments using CI/CD pipelines.

Qualifications

  • Education: Master’s or PhD in Computer Science, Mathematics, or a related field with a focus on AI/ML.
  • Experience: 5+ years of professional experience in machine learning, deep learning, or natural language processing.
  • Programming: Expert-level proficiency in Python, PyTorch, or TensorFlow.
  • Tools: Strong experience with cloud platforms (AWS, GCP, or Azure) and containerization technologies (Docker, Kubernetes).
  • Communication: Exceptional ability to translate complex technical concepts into clear business value for stakeholders.
  • Problem Solving: Proven track record of solving complex engineering challenges in high-pressure environments.

Required Skills

Python Machine Learning Deep Learning PyTorch TensorFlow NLP AWS Docker Kubernetes Natural Language Processing

Ready to Take This Challenge?

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

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