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Information Technology 🏢 Full Time ⭐️ Verified

Senior AI Research Scientist

Nexus AI Labs
San Francisco
Salary Estimate
USD 180.000 – USD 250.000
Live Update
9 Mei 2026
Deadline
9 Mei 2027

Job Description

We are seeking a visionary Senior AI Research Scientist to join our elite team at Nexus AI Labs. In this pivotal role, you will lead the research and development of cutting-edge artificial intelligence models, driving innovation that solves complex real-world problems. If you are passionate about the future of machine learning and want to work in a dynamic environment that fosters creativity and technical excellence, we want to meet you.

Why Join Us?

  • Work on projects that redefine industry standards.
  • Competitive compensation and equity packages.
  • Flexible remote and hybrid work options.

We offer a comprehensive benefits package including health insurance, 401(k) matching, and continuous learning opportunities.

Responsibilities

  • Lead the research and development of scalable deep learning architectures, specifically in Natural Language Processing (NLP) and Computer Vision.
  • Design, implement, and train state-of-the-art models, ensuring they are robust, efficient, and scalable.
  • Collaborate closely with engineering teams to translate theoretical research into production-ready software.
  • Conduct rigorous experimentation, including A/B testing and performance benchmarking, to optimize model accuracy and inference speed.
  • Stay abreast of the latest academic papers and industry trends to integrate novel techniques into our product suite.
  • Mentor junior researchers and data scientists, fostering a culture of knowledge sharing and growth.

Qualifications

  • Ph.D. in Computer Science, Mathematics, Statistics, or a related field, or equivalent industry experience.
  • Proven track record of publishing research in top-tier conferences (e.g., NeurIPS, ICML, ACL, CVPR).
  • Strong proficiency in Python, PyTorch, or TensorFlow.
  • Deep understanding of machine learning algorithms, statistical analysis, and optimization techniques.
  • Experience with large-scale data processing (e.g., Spark, Hadoop, SQL).
  • Excellent problem-solving skills and the ability to work autonomously in a fast-paced environment.

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning NLP Computer Vision Data Science SQL

Ready to Take on This Challenge?

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