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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI & Machine Learning Engineer

2026 Tech
San Francisco
Estimated Salary
USD 160.000 – USD 220.000
Live Update
1 Juli 2026
Deadline
1 Jul 2027

Job Description

Are you ready to define the next era of artificial intelligence? 2026 Tech is on a mission to revolutionize how humans interact with autonomous systems. We are seeking a visionary Senior AI & Machine Learning Engineer to join our elite R&D team in San Francisco.

In this role, you won't just be writing code; you will be architecting the neural networks that power our predictive platforms. We offer a competitive compensation package, equity, and the opportunity to work in a cutting-edge environment focused on scalability and innovation.

Why Join 2026 Tech?

  • Work on projects that define the future of tech.
  • Competitive salary and equity package.
  • Flexible remote and hybrid work options.
  • Continuous learning and development budget.

Responsibilities

  • Design, develop, and deploy scalable machine learning models and deep neural networks.
  • Collaborate with data scientists and engineers to preprocess large-scale datasets and improve model accuracy.
  • Optimize algorithms for low-latency inference in real-time applications.
  • Research and implement state-of-the-art (SOTA) AI techniques to solve complex business problems.
  • Mentor junior engineers and conduct code reviews to ensure best practices.
  • Present technical findings and architectural decisions to stakeholders and leadership.

Qualifications

  • Master’s or PhD degree in Computer Science, Mathematics, or a related field (or equivalent practical experience).
  • 5+ years of professional experience in AI/ML engineering, with a focus on Deep Learning frameworks.
  • Proficiency in Python, PyTorch, or TensorFlow.
  • Strong understanding of distributed computing systems (e.g., AWS, GCP, Azure).
  • Experience with MLOps tools and containerization (Docker, Kubernetes).
  • Excellent problem-solving skills and ability to work in a fast-paced, agile environment.

Required Skills

Python TensorFlow PyTorch AWS Machine Learning Deep Learning MLOps 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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