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Role: AI Research Scientist (Remote) Location: Remote (Work from Anywhere) Job Type: Full-Time Payout: $600K - $2000K/yr Role Overview: We are hiring for one of our clients, seeking a Member of Technical Staff, Frontier AI to work on a full-time basis. The role involves advancing cutting-edge AI models and infrastructure to push the boundaries of machine learning capabilities. Responsibilities span algorithmic research, system design, and implementation of next-generation AI solutions. Candidates must demonstrate deep technical expertise in AI/ML systems and architectures. Key Responsibilities: • Lead research and development of frontier AI models, focusing on scalability and efficiency. • Design and optimize large-scale AI training and inference systems. • Collaborate with cross-functional teams to integrate AI models into production environments. • Evaluate and benchmark emerging AI techniques against state-of-the-art baselines. • Publish findings and contribute to the broader AI research community. Required Skills & Qualifications: • Strong background in machine learning, deep learning, or related fields. • Experience with large-scale distributed systems and cloud infrastructure. • Proficiency in Python and frameworks such as PyTorch or TensorFlow. • Familiarity with GPU/TPU acceleration and high-performance computing. • Ability to design and implement novel algorithms for AI model training and inference. More About the Opportunity: This role offers a unique opportunity to work with a global leader in the Software Development | Technology, Information and Internet | IT Services and IT Consulting industry, contributing to the development of next-generation AI systems. The position involves solving complex technical challenges at the forefront of AI innovation. Equal Opportunity Employer: We hire based on skills and expertise. All qualified candidates are welcome regardless of background, experience, or prior employment history. Applications are reviewed solely on demonstrated technical ability and qualifications. Apply Now!

What you’ll do

Lead the research and development of frontier AI models with a focus on scalability and efficiency. Design and optimize large-scale training and inference systems while collaborating with cross-functional teams for production integration.

Requirements

Candidates must have a strong background in machine learning and deep learning with proficiency in Python and frameworks like PyTorch or TensorFlow. Experience with large-scale distributed systems and GPU/TPU acceleration is required.

Listed skills

• Machine learning · Preferred
• Python · Preferred

Other relevant skills

Identified from the job description. Confirm important requirements above.

• Machine Learning
• Deep Learning
• Distributed Systems
• Cloud Infrastructure
• Python
• PyTorch
• TensorFlow
• GPU Acceleration
• TPU Acceleration
• High-Performance Computing
• Algorithmic Research
• System Design

Job areas

• Science & Research
• Technology
• Software
• Engineering
• Consulting