Member of Technical Staff, Product Safety
xAI
Member of Technical Staff, Product Safety
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
At xAI, we’re shaping the future of AI by ensuring our products are safe, dependable, and exceptional for users globally. As an engineer on our Product Safety team, you’ll develop advanced AI solutions to uphold trust and integrity at scale. This role is your chance to push the boundaries of AI safety through innovative multimodal developments and state-of-the-art modeling.
What You’ll Do
- Spearhead multimodal AI capabilities and advancements with a focus on safety.
- Innovate algorithms to optimize neural network performance while embedding robust safety measures.
- Establish evaluation frameworks and benchmarks to assess and improve AI safety outcomes.
- Partner with experts to integrate safety-focused AI features into high-impact, user-centric products.
- Tackle complex challenges to proactively mitigate risks and maintain AI trustworthiness.
Who You Are
- Experienced with safety and moderation AI models.
- Experienced with large-scale machine learning systems and multimodal AI development.
- Adept at designing experiments and analyzing results to refine models iteratively.
- Hands-on experience with distributed training.
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 phone screening with a member of the team. If you clear that interview, you will enter the main process, which consists of four steps:
- A 45-minute coding interviews focusing on AI/ML-related questions in Python.
- A 45-minute coding interviews focusing on AI/ML-related questions in Python.
- A 45-minute AI/ML system design session.
- Meet the Team: Present your past exceptional work to the wider team.
Our goal is to finish the main process within one week. There will be at least one in-person interview.
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
- Safety and moderation AI modelsintermediate
- Large-scale machine learning systemsintermediate
- Multimodal AI developmentintermediate
- Designing experiments and analyzing resultsintermediate
- Distributed trainingintermediate
- Pythonintermediate
- Jaxintermediate
- Rustintermediate
- AI/ML codingintermediate
- AI/ML system designintermediate
Required Qualifications
- Experienced with safety and moderation AI models (experience)
- Experienced with large-scale machine learning systems and multimodal AI development (experience)
- Adept at designing experiments and analyzing results to refine models iteratively (experience)
- Hands-on experience with distributed training (experience)
Responsibilities
- Spearhead multimodal AI capabilities and advancements with a focus on safety
- Innovate algorithms to optimize neural network performance while embedding robust safety measures
- Establish evaluation frameworks and benchmarks to assess and improve AI safety outcomes
- Partner with experts to integrate safety-focused AI features into high-impact, user-centric products
- Tackle complex challenges to proactively mitigate risks and maintain AI trustworthiness
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, Product Safety @ xAI.
Member of Technical Staff, Product Safety
xAI
Member of Technical Staff, Product Safety
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
At xAI, we’re shaping the future of AI by ensuring our products are safe, dependable, and exceptional for users globally. As an engineer on our Product Safety team, you’ll develop advanced AI solutions to uphold trust and integrity at scale. This role is your chance to push the boundaries of AI safety through innovative multimodal developments and state-of-the-art modeling.
What You’ll Do
- Spearhead multimodal AI capabilities and advancements with a focus on safety.
- Innovate algorithms to optimize neural network performance while embedding robust safety measures.
- Establish evaluation frameworks and benchmarks to assess and improve AI safety outcomes.
- Partner with experts to integrate safety-focused AI features into high-impact, user-centric products.
- Tackle complex challenges to proactively mitigate risks and maintain AI trustworthiness.
Who You Are
- Experienced with safety and moderation AI models.
- Experienced with large-scale machine learning systems and multimodal AI development.
- Adept at designing experiments and analyzing results to refine models iteratively.
- Hands-on experience with distributed training.
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 phone screening with a member of the team. If you clear that interview, you will enter the main process, which consists of four steps:
- A 45-minute coding interviews focusing on AI/ML-related questions in Python.
- A 45-minute coding interviews focusing on AI/ML-related questions in Python.
- A 45-minute AI/ML system design session.
- Meet the Team: Present your past exceptional work to the wider team.
Our goal is to finish the main process within one week. There will be at least one in-person interview.
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
- Safety and moderation AI modelsintermediate
- Large-scale machine learning systemsintermediate
- Multimodal AI developmentintermediate
- Designing experiments and analyzing resultsintermediate
- Distributed trainingintermediate
- Pythonintermediate
- Jaxintermediate
- Rustintermediate
- AI/ML codingintermediate
- AI/ML system designintermediate
Required Qualifications
- Experienced with safety and moderation AI models (experience)
- Experienced with large-scale machine learning systems and multimodal AI development (experience)
- Adept at designing experiments and analyzing results to refine models iteratively (experience)
- Hands-on experience with distributed training (experience)
Responsibilities
- Spearhead multimodal AI capabilities and advancements with a focus on safety
- Innovate algorithms to optimize neural network performance while embedding robust safety measures
- Establish evaluation frameworks and benchmarks to assess and improve AI safety outcomes
- Partner with experts to integrate safety-focused AI features into high-impact, user-centric products
- Tackle complex challenges to proactively mitigate risks and maintain AI trustworthiness
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, Product Safety @ xAI.