Distributed AI Research Scientist - On-Device/Privacy

webAI; Austin (TX); On-site; USD 140,000 - 220,000; Full time

Benefits offered by this job

Competitive salary and performance-based incentives

Comprehensive health, dental, and vision benefits

401k Match

$200/mos Health and Wellness Stipend

$400/year Continuing Education Credit

$500/year Function Health subscription

Free parking for in-office employees

Unlimited Approved PTO

Parental Leave for Eligible Employees

Supplemental Life Insurance

Job summary

A technology company specializing in AI based in Austin, Texas, is looking for an AI Research Scientist to develop and optimize next-generation AI models. The role involves designing, training, and evaluating cutting-edge machine learning models while collaborating with engineering teams to translate research into real-world applications. Candidates should have a strong background in deep learning and machine learning research, along with excellent communication skills. Competitive salary and comprehensive benefits are offered.

Qualifications

• 4+ years of experience in machine learning research or AI model development.
• Hands-on experience training and fine-tuning large-scale models.
• Strong expertise in deep learning architectures including transformers and CNNs.

Responsibilities

• Design, train, and optimize machine learning models including LLMs.
• Conduct research on model efficiency and on-device deployment.
• Collaborate with engineering teams to integrate findings into production.

Skills

Deep learning architectures

Machine learning model development

Problem-solving skills

Effective communication

Education

Bachelor’s degree in Computer Science, Engineering, Mathematics, or related field

Tools

Python

PyTorch

TensorFlow

Job description

A technology company specializing in AI based in Austin, Texas, is looking for an AI Research Scientist to develop and optimize next-generation AI models. The role involves designing, training, and evaluating cutting-edge machine learning models while collaborating with engineering teams to translate research into real-world applications. Candidates should have a strong background in deep learning and machine learning research, along with excellent communication skills. Competitive salary and comprehensive benefits are offered.