Principal AI Scientist

About the role

Your primary responsibility is to architect, design, and implement state-of-the-art Generative AI models (auto-regressive, diffusion, Discrete Diffusion, Hybrid SSM etc.) and port these models to any hardware platform. You will also leverage your expertise to train, fine-tune, and optimize models that impact Large Language Models (LLMs) (Multimodal & Multilingual), ensuring they are optimal in terms of accuracy, naturalness, and performance.

Responsibilities

• Develop and deploy LLM/MLLMs in various languages.
• Collaborate with cross-functional teams including AI scientists, software engineers, and domain experts to develop customized solutions.
• Integrate the power of LLMs/MLLMs into existing applications to ensure optimal performance and speed on resource-constrained platforms.
• Stay updated with the latest advancements in Generative AI, Conversational AI, and language modeling, and incorporate new techniques, technologies, and best practices to enhance system performance.

Requirements

• Extensive experience and demonstrated mastery in developing LLM/MLLMs.
• Well-versed with commercial deployments, post-deployment support, and model profiling and optimization for production environments.
• Advanced degree (Ph.D. preferred) in computer science, electrical engineering, or a related field.
• Exceptional programming skills in Python with a strong ability to implement complex machine learning algorithms.
• Proven track-record in developing conversational AI systems, particularly with diverse elements like acoustic models, language models, and pronunciation models.
• Strong analytical thinking, problem-solving capabilities, and a collaborative mindset.

Qualifications

• Extensive experience in developing and deploying LLM/MLLMs.
• Advanced degree (Ph.D. preferred) in computer science, electrical engineering, or a related field.
• Exceptional programming skills in Python with a strong ability to implement complex machine learning algorithms.
• Proven track-record in developing conversational AI systems, particularly with diverse elements like acoustic models, language models, and pronunciation models.
• Strong analytical thinking, problem-solving capabilities, and a collaborative mindset.

Skills

• Expertise in developing and deploying LLM/MLLMs.
• Advanced degree (Ph.D. preferred) in computer science, electrical engineering, or a related field.
• Exceptional programming skills in Python with a strong ability to implement complex machine learning algorithms.
• Experience in developing conversational AI systems, particularly with diverse elements like acoustic models, language models, and pronunciation models.
• Strong analytical thinking, problem-solving capabilities, and a collaborative mindset.

Benefits

We offer a comprehensive and competitive benefits package including:

• Comprehensive health, financial security, personal wellbeing, and life outside of work support.
• Annual bonus opportunity.
• Flexible Time Off.
• Choice-based medical coverage plus Dental and Vision plans.
• Health Savings Accounts (HSA), Flexible Spending Accounts (FSA) and 401(k) retirement plan with an employer match.
• Employee Stock Purchase Plan.
• Paid parental leave and adoption assistance.
• Disability and life insurance.
• Employee Assistance Program, a wellbeing platform, volunteer hours, a broad employee discount marketplace, tuition reimbursement, and a global rewards and recognition program.

Pay

The expected salary range for this position is $123,500 - $197,600 USD. The actual salary will be determined based on experience and other job-related factors.

Schedule

This is a full-time position.