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Member of Technical Staff - Multimodal (Audio) Job at xAI in San Francisco

Member of Technical Staff - Multimodal (Audio) Job at xAI in San Francisco

MediabistroSan Francisco, CA, United States
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Member of Technical Staff - Multimodal (Audio)

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.

About the Role

The multimodal team at xAI creates magical AI experiences beyond text, enabling the understanding and generation of content across various modalities, including image, video, and audio.

As a member of technical staff, you will drive the model’s multimodal capability through various aspects such as data, modeling, serving, and product. You will collaborate with pre-training, post-training, and product teams to push the frontiers of model capability as well as the end-to-end user experience.

Focus

  • Creating and driving agendas to advance multimodal audio capabilities, which includes both audio understanding and audio generation.
  • Improving data quality, developing data filtering / generation techniques, and conducting data studies.
  • Creating evaluation frameworks and internal benchmarks.
  • Designing and implementing effective and efficient algorithms for achieving state-of-the-art audio model performance.

Ideal Experiences

  • Track record in leading studies that significantly improves the capability and performance of neural networks, whether through 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.
  • 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.

  • 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 (“phone interview”) during which a member of our team will ask some basic questions. If you clear the initial phone interview, you will enter the main process, which consists of four technical interviews :

  • One on one discussion & coding interviews (three meetings total)
  • Project deep-dive : Present your past exceptional work 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

    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.

    Interested in building your career at xAI? Get future opportunities sent straight to your email.

    Accepted file types : pdf, doc, docx, txt, rtf

    Current company

    If you are currently employed in the field, please tell us the name of your employer.

    If you are currently employed in the field, please tell us your role including your seniority level (e.g. Software Engineer II).

    LinkedIn Profile

    If you have a public LinkedIn profile, please provide its URL.

    X Profile

    If you have a public X profile, please provide its URL.

    If you have a Google Scholar page, please provide its URL.

    What exceptional work have you done?

    In 100 words or less, tell us about a piece of work you are most proud of.

    Will you now, or in the future, require sponsorship for employment visa status (e.g., H-1B visa) to legally work for X.AI LLC in the U.S.?

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    Technical Multimodal • San Francisco, CA, United States

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