Advanced AI Researcher for Scalable Solutions

12 hours ago


Austin, Texas, United States TalentPros Full time

We are TalentPros, a pioneering AI research and deployment company dedicated to harnessing the transformative power of artificial intelligence for humanity's benefit.

Salary: $180,000 - $220,000 per year

About the Role

As an Advanced AI Researcher in our Applied Group, you will have the opportunity to work at the forefront of cutting-edge research, driving innovation and shaping the future. You'll contribute to deploying state-of-the-art models in production environments, turning research breakthroughs into tangible solutions that can change industries, enhance human creativity, and solve complex problems.

This role is ideal for visionary engineers who thrive in dynamic environments where ideas flow freely and creativity thrives. You'll collaborate with researchers, software engineers, and product managers to understand complex business challenges and deliver AI-powered solutions that drive real-world impact.

Main Responsibilities:

  • Innovate and Deploy: Design and deploy advanced machine learning models that solve real-world problems, bringing our research from concept to implementation.
  • Collaborate with Cross-Functional Teams: Work closely with researchers, software engineers, and product managers to ensure seamless collaboration and effective problem-solving.
  • Optimize and Scale: Implement scalable data pipelines, optimize models for performance and accuracy, and ensure they are production-ready for deployment.
  • Stay Ahead of the Curve: Engage with the latest developments in machine learning and AI, taking part in code reviews and sharing knowledge to maintain high-quality engineering practices.
  • Make a Difference: Monitor and maintain deployed models to ensure they continue delivering value, directly influencing how AI benefits individuals, businesses, and society at large.

Requirements:

  • Masters/PhD degree in Computer Science, Machine Learning, Data Science, or a related field.
  • Demonstrated experience in deep learning and transformers models.
  • Proficiency in frameworks like PyTorch or Tensorflow.
  • Strong foundation in data structures, algorithms, and software engineering principles.
  • Experience with search relevance, ads ranking, or LLMs is a plus.
  • Familiarity with methods of training and fine-tuning large language models, such as distillation, supervised fine-tuning, and policy optimization.
  • Excellent problem-solving and analytical skills, with a proactive approach to challenges.
  • Ability to work collaboratively with cross-functional teams and adapt to fast-paced environments.

We offer a dynamic work environment, opportunities for growth and development, and a chance to make a meaningful impact on the world through AI innovation.



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