Member of Technical Staff - Multimodal (Audio)
xAI
Member of Technical Staff - Multimodal (Audio)
Job Description
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.
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 (“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
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. For details on data processing, view our Recruitment Privacy Notice.
Locations
- Palo Alto, CA,
- San Francisco, CA,
Salary
180,000 - 440,000 USD / yearly
Skills Required
- Pythonintermediate
- Jaxintermediate
- Rustintermediate
- Machine learningintermediate
- Neural networksintermediate
- Data filtering/generationintermediate
- Distributed machine learning systemsintermediate
- Data-driven experiment designsintermediate
- Systematic analysisintermediate
- Strong communication skillsintermediate
- Work ethicintermediate
- Strong prioritization skillsintermediate
Required Qualifications
- Track record in leading studies that significantly improves the capability and performance of neural networks, whether through better data or better modeling. (experience)
- Experience in data-driven experiment designs and systematic analysis for iterative model debugging. (experience)
- Experience in developing or working with large-scale distributed machine learning systems. (experience)
- Ability to do whatever is necessary to deliver the best end-to-end user experience. (experience)
Responsibilities
- 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.
- Drive the model’s multimodal capability through various aspects such as data, modeling, serving, and product.
- 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.
Benefits
- general: Equity
- general: Comprehensive medical, vision, and dental coverage
- general: Access to a 401(k) retirement plan
- general: Short & long-term disability insurance
- general: Life insurance
- general: Various other discounts and perks
Tags & Categories
Answer 10 quick questions to check your fit for Member of Technical Staff - Multimodal (Audio) @ xAI.
Member of Technical Staff - Multimodal (Audio)
xAI
Member of Technical Staff - Multimodal (Audio)
Job Description
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.
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 (“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
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. For details on data processing, view our Recruitment Privacy Notice.
Locations
- Palo Alto, CA,
- San Francisco, CA,
Salary
180,000 - 440,000 USD / yearly
Skills Required
- Pythonintermediate
- Jaxintermediate
- Rustintermediate
- Machine learningintermediate
- Neural networksintermediate
- Data filtering/generationintermediate
- Distributed machine learning systemsintermediate
- Data-driven experiment designsintermediate
- Systematic analysisintermediate
- Strong communication skillsintermediate
- Work ethicintermediate
- Strong prioritization skillsintermediate
Required Qualifications
- Track record in leading studies that significantly improves the capability and performance of neural networks, whether through better data or better modeling. (experience)
- Experience in data-driven experiment designs and systematic analysis for iterative model debugging. (experience)
- Experience in developing or working with large-scale distributed machine learning systems. (experience)
- Ability to do whatever is necessary to deliver the best end-to-end user experience. (experience)
Responsibilities
- 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.
- Drive the model’s multimodal capability through various aspects such as data, modeling, serving, and product.
- 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.
Benefits
- general: Equity
- general: Comprehensive medical, vision, and dental coverage
- general: Access to a 401(k) retirement plan
- general: Short & long-term disability insurance
- general: Life insurance
- general: Various other discounts and perks
Tags & Categories
Answer 10 quick questions to check your fit for Member of Technical Staff - Multimodal (Audio) @ xAI.