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Information Technology 🏢 Full Time ⭐️ Verified

Senior AI/ML Engineer

2026 Labs
San Francisco
Estimated Salary
USD 160.000 – USD 220.000
New
Live Update
28 Juni 2026
Deadline
28 Jun 2027

Job Description

We are shaping the future. 2026 Labs is a cutting-edge research organization pioneering the next generation of artificial intelligence. We are looking for a brilliant Senior AI/ML Engineer to lead the development of scalable, high-impact machine learning systems.

In this role, you won't just build models; you will architect the intelligence that powers our products. You will work with a world-class team of researchers and engineers to push the boundaries of Generative AI, Large Language Models (LLMs), and Autonomous Agents. If you are passionate about solving complex problems and have a vision for the future of technology, we want to meet you.

Why Join 2026 Labs?

  • Work on problems that define the next decade of technology.
  • Competitive compensation and equity packages.
  • Flexible remote-first culture with occasional team meetups.
  • Access to the latest hardware and cloud infrastructure.

Responsibilities

  • Design, train, and deploy state-of-the-art deep learning models.
  • Optimize existing models for inference speed and reduced latency.
  • Collaborate with data scientists to curate high-quality training datasets.
  • Implement MLOps best practices to ensure production-grade reliability.
  • Mentor junior engineers and contribute to code reviews.
  • Stay abreast of the latest research in NLP and Computer Vision.

Qualifications

  • Bachelor’s or Master’s degree in Computer Science, Mathematics, or a related field.
  • 5+ years of professional experience in Machine Learning or AI engineering.
  • Strong proficiency in Python, PyTorch, or TensorFlow.
  • Deep experience with LLMs (e.g., GPT, LLaMA, BERT).
  • Experience with vector databases and RAG (Retrieval-Augmented Generation).
  • Familiarity with cloud platforms (AWS, GCP, or Azure).

Required Skills

Python Machine Learning Deep Learning NLP PyTorch TensorFlow MLOps AWS GCP Generative AI LLMs

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