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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI & Machine Learning Engineer

Quantum Horizon Systems
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
New
Live Update
4 Juni 2026
Deadline
4 Jun 2027

Job Description

We are seeking a visionary Senior AI & Machine Learning Engineer to join our elite R&D team in San Francisco. As we prepare to redefine the technological landscape for the 2026 era, you will be at the forefront of developing scalable, ethical, and groundbreaking AI systems. If you are passionate about pushing the boundaries of what's possible in machine learning and want to work on solutions that impact millions, we want to hear from you.

Why Join Us?

  • Work on next-generation autonomous systems and generative AI models.
  • Competitive compensation package including equity options.
  • Flexible remote-first culture with state-of-the-art equipment.
  • Opportunity to mentor junior talent and shape company strategy.

Responsibilities

  • Design, train, and deploy state-of-the-art machine learning models, focusing on scalability and real-time inference.
  • Collaborate with cross-functional teams (Data Science, Product, Engineering) to translate business requirements into technical solutions.
  • Optimize existing models for reduced latency and improved accuracy using techniques such as quantization and pruning.
  • Conduct rigorous research on emerging AI paradigms, including Large Language Models (LLMs) and reinforcement learning.
  • Establish and enforce best practices for data governance, model security, and ethical AI usage.
  • Lead code reviews and technical architecture discussions for AI-driven products.

Qualifications

  • Master’s or PhD in Computer Science, Statistics, or a related quantitative field.
  • Minimum of 5+ years of professional experience in AI/ML engineering.
  • Proficiency in Python, PyTorch, TensorFlow, or JAX.
  • Strong experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker/Kubernetes).
  • Proven track record of shipping production-ready machine learning systems.
  • Excellent communication skills with the ability to explain complex technical concepts to non-technical stakeholders.

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning NLP Cloud Computing Docker Kubernetes AWS GCP Data Engineering Model Optimization

Ready to Take This Challenge?

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