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Information Technology 🏒 Full Time ⭐️ Verified

Senior Machine Learning Engineer at 2026

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

Job Description

Shape the Future of Technology at 2026

At 2026 Systems, we aren't just building software; we are architecting the digital reality for the year 2026 and beyond. We are looking for a visionary Senior Machine Learning Engineer to join our elite AI division. If you are passionate about pushing the boundaries of what is possible with Generative AI and Large Language Models, this is your opportunity to lead groundbreaking projects that will redefine industries.

Why Join Us?

  • Future-Forward Mission: Work on technologies that will define the landscape of the next decade.
  • Top-Tier Compensation: Competitive salary and equity packages.
  • Innovative Environment: Collaborate with industry leaders in a fully remote-first culture.

Responsibilities

  • Design, develop, and deploy scalable machine learning models and AI infrastructure.
  • Collaborate with cross-functional teams to integrate AI solutions into core products.
  • Optimize existing algorithms for speed, accuracy, and efficiency.
  • Conduct research on the latest trends in Deep Learning and Natural Language Processing.
  • Build and maintain robust data pipelines and MLOps workflows.
  • Mentor junior engineers and define best practices for the AI team.

Qualifications

  • Ph.D. or Master’s degree in Computer Science, Mathematics, or a related technical field.
  • 5+ years of experience in machine learning, AI, or data science roles.
  • Expert proficiency in Python and frameworks such as PyTorch or TensorFlow.
  • Strong understanding of distributed systems, cloud architecture (AWS/Azure/GCP), and containerization (Docker/Kubernetes).
  • Proven track record of deploying production-grade machine learning models.
  • Excellent problem-solving skills and ability to thrive in a fast-paced, dynamic environment.

Required Skills

Python TensorFlow PyTorch AWS Docker Kubernetes MLOps Deep Learning Natural Language Processing SQL

Ready to Take This Challenge?

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