Member of Technical Staff, Multimodal Understanding
Job Description
- Creating and driving engineering agenda to advance multimodal capabilities (understanding and generation across image, video, 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.
- Track record in leading engineering that significantly improves neural network capability and performance.
- 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.
- Strong communication skills.
- Work ethic and strong prioritization skills.
- Equity
- Comprehensive medical, vision, and dental coverage
- Access to a 401(k) retirement plan
- Short & long-term disability insurance
- Life insurance
- Various other discounts and perks
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 are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates.
Focus
- Creating and driving engineering 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 engineering 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 engineering 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.
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.
