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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Product Engineer at 2026 | San Francisco, CA

2026
San Francisco
Estimated Salary
USD 160.000 – USD 230.000
New
Live Update
4 Juni 2026
Deadline
4 Jun 2027

Job Description

We are seeking a visionary Senior AI Product Engineer to join the 2026 team. At 2026, we are not just predicting the future; we are architecting it. We are building the infrastructure that will define the next decade of human-computer interaction. If you are a technical leader passionate about pushing the boundaries of what's possible, we want to meet you.

Our culture is built on curiosity, speed, and a relentless drive for excellence. As part of our core engineering squad, you will directly influence the roadmap and shape the products that millions of users will rely on.

Responsibilities

  • Lead the end-to-end design and development of advanced machine learning models and AI-driven product features.
  • Collaborate closely with cross-functional teams (product management, design, and data science) to translate complex business requirements into technical solutions.
  • Mentor junior engineers and foster a culture of technical excellence and continuous learning within the team.
  • Optimize existing algorithms and infrastructure to ensure scalability, latency, and high availability.
  • Conduct code reviews, architectural discussions, and performance tuning sessions.
  • Stay abreast of the latest industry trends and research to integrate cutting-edge techniques into our products.

Qualifications

  • Master’s degree in Computer Science, Artificial Intelligence, or a related technical field (or equivalent practical experience).
  • 5+ years of professional experience in software engineering, with a focus on AI/ML applications.
  • Proficiency in Python, TensorFlow, PyTorch, or similar deep learning frameworks.
  • Strong understanding of distributed systems, cloud architecture (AWS/GCP), and containerization (Docker/Kubernetes).
  • Excellent problem-solving skills and the ability to work in a fast-paced, agile environment.
  • Strong communication skills with the ability to explain complex technical concepts to non-technical stakeholders.

Required Skills

Python Machine Learning Deep Learning TensorFlow PyTorch AWS Docker Kubernetes Agile

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