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Information Technology 🏢 Full Time ⭐️ Verified

Senior Machine Learning Engineer

Horizon 2026 Solutions
San Francisco
Estimated Salary
USD 165.000 – USD 210.000
New
Live Update
4 Juli 2026
Deadline
4 Jul 2027

Job Description

The Future of Intelligence Starts Here.

We are Horizon 2026 Solutions, a pioneering technology firm dedicated to defining the standards of artificial intelligence for the next decade. We are seeking a visionary Senior Machine Learning Engineer to join our elite R&D division. If you are passionate about building scalable AI systems and shaping the roadmap for 2026 and beyond, this is your opportunity to lead the charge.

Why Join Us?

  • Impactful Work: Design algorithms that will power the next generation of smart applications.
  • Future-Ready Tech: Work with cutting-edge stacks including LLMs, Computer Vision, and Edge AI.
  • Competitive Compensation: Top-tier salary and equity packages.

Responsibilities

  • Architect and deploy scalable machine learning models designed for high-traffic production environments.
  • Lead the research and implementation of novel algorithms to drive product innovation.
  • Collaborate with cross-functional teams of data scientists, engineers, and product managers to define the 2026 product roadmap.
  • Mentor junior engineers and conduct code reviews to maintain high technical standards.
  • Optimize model inference speeds and reduce latency for real-time applications.
  • Ensure data integrity and implement robust MLOps pipelines for continuous integration and deployment.

Qualifications

  • Bachelor’s or Master’s degree in Computer Science, Mathematics, or a related field.
  • 5+ years of professional experience in Machine Learning, AI, or Data Science.
  • Expert proficiency in Python and deep learning frameworks such as TensorFlow, PyTorch, or JAX.
  • Strong understanding of distributed systems, cloud infrastructure (AWS/Azure/GCP), and containerization (Docker/Kubernetes).
  • Experience with Natural Language Processing (NLP) or Computer Vision is highly preferred.
  • Proven track record of deploying models to production environments.

Required Skills

Python TensorFlow PyTorch Machine Learning Deep Learning AWS Docker Kubernetes NLP MLOps Data Science

Ready to Take This Challenge?

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