AI Engineer - Multimodal Understanding - Xai : Job Details

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xAI's mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity. We operate with a flat organizational structure. All employees are expected to be hands-on and to contribute directly to the company's mission. Leadership is given to those who show initiative and consistently deliver excellence. Work ethic and strong prioritization skills are important. All engineers and researchers are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates.

About xAI

xAI's mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity. We operate with a flat organizational structure. All employees are expected to be hands-on and to contribute directly to the company's mission. Leadership is given to those who show initiative and consistently deliver excellence. Work ethic and strong prioritization skills are important. All engineers and researchers are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates.

Focus

• Creating and driving research agenda to advance multimodal capabilities, which include both multimodal understanding and multimodal generation, across different modalities like image, video and audio.
• Improving data quality, developing data filtering/generation techniques, and performing data study.
• Creating evaluation frameworks and internal benchmarks.
• Designing and implementing effective and efficient algorithms for achieving state-of-the-art model performance.

Ideal Experience

• Track record in leading research that significantly improves the capability and performance of neural networks, whether better data or better modeling.
• Experience in data-driven experiment designs and systematic analysis for iterative model debugging.
• Experience in developing or working with large-scale distributed machine learning systems.
• Ability to do whatever is necessary to deliver the best end-to-end user experience.

Tech Stack

• Python
• Jax
• Rust

Interview Process

After submitting your application, the team reviews your CV and statement of exceptional work. If your application passes this stage, you will be invited to a 15 minute interview (“intro call”) during which a member of our team will ask some basic questions. If you clear the initial , you will enter the main process, which consists of four technical interviews:

• One-on-one research discussion & coding interviews (three meetings total)
• Meet the Team: Present your past exceptional work and your vision with xAI to a small audience.

Every application is reviewed by a member of our technical team. All interviews will be conducted via Google Meet.

Location

The role is based in the Bay Area [San Francisco and Palo Alto]. Candidates are expected to be located near the Bay Area or open to relocation.

Annual Salary Range

$180,000 - $440,000 USD

Benefits

Base salary is just one part of our total rewards package at xAI, which also includes equity, comprehensive medical, vision, and dental coverage, access to a 401(k) retirement plan, short & long-term disability insurance, life insurance, and various other discounts and perks.

xAI is an equal opportunity employer.

California Consumer Privacy Act (CCPA) Notice

Seniority level

• Seniority levelMid-Senior level

Employment type

• Employment typeFull-time

Job function

• Job functionEngineering and Information Technology
• IndustriesTechnology, Information and Internet

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