Home Job Details
N
Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Engineer | San Francisco, CA

NexusCore Technologies
San Francisco
Estimated Salary
USD 160.000 – USD 230.000
Live Update
12 Mei 2026
Deadline
12 Mei 2027

Job Description

We are seeking a visionary Senior AI Engineer to join NexusCore Technologies and lead the next generation of intelligent systems. In this pivotal role, you will architect and deploy scalable machine learning models that drive decision-making across our enterprise ecosystem. You will work at the intersection of data science and software engineering, collaborating with cross-functional teams to transform complex datasets into actionable insights.

Why Join Us?

  • Work with state-of-the-art LLMs and Generative AI frameworks.
  • Competitive compensation and equity package.
  • Flexible remote-first culture with a hub in San Francisco.
  • Opportunity to shape the future of AI in enterprise.

Responsibilities

  • Model Development: Design, train, and fine-tune large-scale machine learning models using Python, PyTorch, and TensorFlow.
  • System Architecture: Build robust MLOps pipelines to ensure model scalability, reliability, and continuous deployment.
  • Feature Engineering: Collaborate with data engineers to curate high-quality datasets and implement advanced feature extraction techniques.
  • Performance Optimization: Optimize model inference speeds and reduce latency for real-time applications.
  • Research & Innovation: Stay abreast of the latest AI research (e.g., Transformer architectures, Reinforcement Learning) and integrate cutting-edge methodologies.
  • Code Review & Mentorship: Lead technical discussions, conduct code reviews, and mentor junior engineers to foster a culture of technical excellence.

Qualifications

  • Education: Master’s or PhD in Computer Science, Artificial Intelligence, or a related quantitative field.
  • Experience: 5+ years of professional experience in machine learning engineering or data science.
  • Programming: Proficiency in Python and SQL; experience with C++ for performance-critical applications is a plus.
  • Frameworks: Deep expertise in PyTorch or TensorFlow.
  • Cloud: Experience deploying models on AWS, GCP, or Azure using containerization (Docker/Kubernetes).
  • Communication: Exceptional ability to communicate complex technical concepts to non-technical stakeholders.

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning MLOps AWS GCP Docker Kubernetes SQL Generative AI NLP

Ready to Take This Challenge?

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

Apply Now

Related Jobs

Similar job recommendations for you

View All