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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Engineer at 2026

2026 Technologies
San Francisco
Estimated Salary
USD 160.000 – USD 240.000
New
Live Update
30 Juni 2026
Deadline
30 Jun 2027

Job Description

Are you ready to architect the future? 2026 Technologies is a premier innovation hub focused on building the digital infrastructure for the next decade. We are seeking a visionary Senior AI Engineer to lead our research into Generative AI and autonomous systems.

In this role, you will not just write code; you will define the trajectory of AI adoption for enterprise clients. We operate at the intersection of deep learning and practical application, requiring a blend of academic rigor and startup agility.

Key Highlights:
- Work on bleeding-edge Large Language Models (LLMs).
- Competitive equity and benefits package.
- Opportunity to shape the '2026' roadmap.

Responsibilities

  • Design, train, and deploy scalable machine learning models and neural networks.
  • Lead the architecture of our AI infrastructure, ensuring high availability and low latency.
  • Collaborate closely with cross-functional teams (Product, Design, Engineering) to translate technical requirements into robust solutions.
  • Conduct rigorous testing and validation to ensure model accuracy and ethical compliance.
  • Stay abreast of the latest advancements in AI research and implement best practices.
  • Mentor junior engineers and foster a culture of technical excellence and innovation.

Qualifications

  • Master’s degree or Ph.D. in Computer Science, Artificial Intelligence, or a related field.
  • 5+ years of professional experience in machine learning engineering.
  • Expert proficiency in Python, PyTorch, and TensorFlow.
  • Strong understanding of Natural Language Processing (NLP) and Deep Learning concepts.
  • Experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker/Kubernetes).
  • Proven track record of delivering high-impact AI products to market.
  • Excellent communication skills and ability to explain complex technical concepts to non-technical stakeholders.

Required Skills

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

Ready to Take This Challenge?

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