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Senior AI Research Scientist | Generative Models

Apex AI Solutions
San Francisco
Salary Estimate
USD 180.000 – USD 260.000
Latest
Live Update
31 Mei 2026
Deadline
31 Mei 2027

Job Description

Are you ready to shape the future of Artificial Intelligence?

Apex AI Solutions is at the forefront of the generative AI revolution. We are seeking a visionary Senior AI Research Scientist to lead our R&D efforts in Large Language Models and Computer Vision. You will be responsible for developing scalable algorithms that power our next-generation products.

Why Join Us?

  • Work with state-of-the-art hardware and cloud infrastructure.
  • Competitive salary, equity, and comprehensive benefits.
  • Collaborative environment with top-tier talent from MIT, Stanford, and industry leaders.

Responsibilities

  • Research & Development: Design and implement novel deep learning architectures to solve complex, unstructured problems.
  • Model Optimization: Fine-tune and optimize large-scale transformer models for production environments.
  • Data Strategy: Oversee data curation, cleaning, and pipeline architecture for training datasets.
  • Deployment: Collaborate with MLOps engineers to ensure seamless model inference and scalability.
  • Publication: Contribute to high-impact academic papers and patent filings.
  • Mentorship: Guide junior researchers and PhD candidates in technical best practices.

Qualifications

  • Education: MS or PhD in Computer Science, Machine Learning, Statistics, or a related technical field.
  • Programming: Expert-level proficiency in Python, PyTorch, or TensorFlow.
  • Experience: 5+ years of experience in deep learning, NLP, or Computer Vision.
  • Knowledge: Deep understanding of transformer models, attention mechanisms, and generative AI techniques.
  • Tools: Experience with distributed training frameworks (Ray, Horovod) and cloud platforms (AWS/GCP).
  • Communication: Ability to translate complex technical concepts into clear business value.

Required Skills

Python PyTorch TensorFlow NLP Computer Vision Deep Learning LLMs MLOps Machine Learning Engineering

Ready to Take on This Challenge?

Make sure your resume is ready. Submit your application now before the deadline.

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