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Information Technology 🏢 Full Time ⭐️ Verified

Senior AI Engineer

2026 Innovations
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
19 Mei 2026
Deadline
19 Mei 2027

Job Description

Join 2026 Innovations at the forefront of technological evolution! We're pioneering next-generation AI systems that will redefine industries by 2026. As a Senior AI Engineer, you'll architect and deploy scalable machine learning solutions that transform raw data into strategic business intelligence. Our collaborative environment fosters innovation while tackling real-world challenges in healthcare, climate science, and autonomous systems.

Located in San Francisco's vibrant tech hub, we offer competitive compensation, cutting-edge resources, and opportunities to shape the future of artificial intelligence. If you're passionate about building AI that makes a tangible impact, we want you on our team.

Responsibilities

  • Design and implement advanced ML pipelines for large-scale data processing
  • Lead development of production-ready AI models using TensorFlow/PyTorch
  • Collaborate with cross-functional teams to translate business requirements into technical solutions
  • Conduct rigorous testing and optimization of AI systems for performance and accuracy
  • Mentor junior engineers and contribute to our open-source innovation projects
  • Stay ahead of emerging AI trends and integrate cutting-edge research into our product roadmap

Qualifications

  • 5+ years of experience in machine learning and AI development
  • Expertise in Python, TensorFlow, and distributed computing frameworks
  • Proven track record of deploying production ML systems at scale
  • Strong background in data modeling, statistical analysis, and algorithm design
  • Experience with cloud platforms (AWS/GCP/Azure) and MLOps practices
  • PhD or Master's degree in Computer Science, Mathematics, or related field
  • Published research in top-tier AI conferences (NeurIPS, ICML, etc.) preferred

Required Skills

Python TensorFlow PyTorch Machine Learning Deep Learning Distributed Computing MLOps AWS Data Modeling Statistical Analysis Algorithm Design

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