AI Systems Engineer
4 weeks ago
We are seeking a highly skilled and motivated individual to join our Human Data team as a Technical Staff Member. As a key member of our team, you will be responsible for delivering high-quality data to drive frontier model performance.
Your primary focus will be on building features end-to-end, including front-end, back-end, system design, debugging, and testing. You will also be responsible for building systems that monitor and flag quality issues with large-scale data collections.
In addition, you will help drive high-priority data collection projects for our team and understand training and eval data needs across xAI to improve our platform. You will also create innovative human and synthetic data generation methods and pipelines.
As a Technical Staff Member, you will be expected to work closely with our post-training team and AI tutor team to develop new solutions that accelerate research progress across model capabilities, evaluation, safety, and alignment.
Key responsibilities include:
- Designing and implementing data collection systems
- Developing and maintaining high-quality data pipelines
- Collaborating with cross-functional teams to drive data collection projects
- Staying up-to-date with the latest advancements in AI and machine learning
Exceptional candidates will have experience delivering high-quality web applications in rapidly changing environments, collaborating in highly cross-functional environments, and connecting machine learning model behavior to data distribution and data quality.
We are looking for individuals who are passionate about AI and machine learning, have a strong understanding of software development principles, and are able to work effectively in a fast-paced environment.
What We Offer
- A competitive salary range of $180,000 - $440,000 USD
- A flat organizational structure with opportunities for growth and development
- A collaborative and dynamic work environment
- Access to cutting-edge technology and tools
How to Apply
Interested candidates should submit their application, including a CV and a statement of exceptional work. We will review all applications and invite selected candidates to a 15-minute interview. If successful, candidates will progress to a series of technical interviews, including a coding assessment, HTML/CSS interview, systems hands-on, and meet the team interview.
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