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Information Technology 🏢 Full Time ⭐️ Verified

Senior AI/ML Engineer

2026
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
30 Juni 2026
Deadline
30 Jun 2027

Job Description

Shape the Future with 2026

At 2026, we aren't just predicting the future; we are building it. We are a cutting-edge AI research lab dedicated to developing next-generation neural architectures that will define the technological landscape of the coming decade. We are looking for a visionary Senior AI/ML Engineer to join our elite engineering team and drive the development of scalable, high-performance artificial intelligence systems.

If you thrive in a fast-paced environment, possess deep technical expertise, and want to leave a lasting impact on the industry, we want to hear from you.

Responsibilities

  • Model Development: Design, train, and deploy state-of-the-art machine learning models, focusing on NLP and Computer Vision applications.
  • Infrastructure Optimization: Engineer scalable data pipelines and infrastructure to support high-volume training and inference workloads.
  • Research & Innovation: Stay at the forefront of AI research, adapting cutting-edge methodologies to solve complex business problems.
  • Code Quality: Write clean, maintainable, and efficient code while conducting rigorous code reviews and mentoring junior engineers.
  • Collaboration: Partner closely with product managers, data scientists, and cross-functional teams to translate technical requirements into robust solutions.

Qualifications

  • Education: MS or PhD in Computer Science, Mathematics, or a related field.
  • Experience: 5+ years of professional experience in machine learning engineering, with a strong portfolio of deployed models.
  • Technical Skills: Proficiency in Python, PyTorch, TensorFlow, and SQL. Experience with distributed computing (e.g., Spark, Ray) and cloud platforms (AWS/GCP/Azure).
  • Soft Skills: Exceptional problem-solving abilities and excellent communication skills, with the ability to explain complex technical concepts to non-technical stakeholders.
  • Passion: A deep passion for AI ethics, fairness, and responsible technology deployment.

Required Skills

Python PyTorch TensorFlow AWS Docker Kubernetes Spark Machine Learning Deep Learning NLP SQL Linux Git

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