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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI/ML Engineer

2026
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
30 Juni 2026
Deadline
30 Jun 2027

Job Description

Are you ready to shape the future of artificial intelligence? 2026 is a leading innovator in next-generation neural networks and predictive analytics. We are seeking a visionary Senior AI/ML Engineer to join our elite team in San Francisco. In this role, you will design and deploy scalable machine learning models that solve complex, real-world problems. If you are passionate about pushing the boundaries of what's possible in AI and want to work with cutting-edge technology, we want to hear from you.

Why join 2026?

  • Work on projects that define the future of technology.
  • Competitive compensation and equity packages.
  • Flexible remote and hybrid work options.
  • Access to state-of-the-art hardware and cloud infrastructure.

Responsibilities

  • Design, train, and deploy scalable machine learning models using Python, TensorFlow, and PyTorch.
  • Collaborate with data scientists and software engineers to integrate AI solutions into production systems.
  • Conduct research to identify new algorithms and techniques to improve model accuracy and efficiency.
  • Optimize existing pipelines for speed and accuracy, reducing latency in real-time applications.
  • Communicate complex technical concepts to non-technical stakeholders and leadership.

Qualifications

  • Master’s or Ph.D. in Computer Science, Mathematics, or a related field (or equivalent practical experience).
  • 5+ years of professional experience in machine learning and deep learning.
  • Strong proficiency in Python, SQL, and distributed computing frameworks (e.g., Spark, Hadoop).
  • Experience with MLOps tools such as Docker, Kubernetes, and MLflow.
  • Proven track record of deploying models in production environments.
  • Excellent problem-solving skills and attention to detail.

Required Skills

Python TensorFlow PyTorch Machine Learning Deep Learning MLOps Docker Kubernetes SQL Natural Language Processing San Francisco California

Ready to Take This Challenge?

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