Machine Learning Engineer - Frontier Data
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 and researchers are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates.
About the team
The post-training team at xAI transforms powerful pre-trained models to become steerable, versatile, and capable of understanding and addressing real-world challenges.
But the model is only as intelligent as the data it’s trained on, and you will be responsible for the educational diet of Grok as well as evaluating its capabilities. You will enhance the model's instruction-following capability and general usefulness to fulfill our mission – developing AI systems that can accurately understand the universe, create new knowledge, and improve themselves through interactions. You will improve Grok’s capabilities on coding, mathematical reasoning, science, law, and many other domains.
About the role
In this role you will:
- Create and drive training data optimizations to advance model quality.
- Improve data mixtures to drive model behavior improvements.
- Design and implement robust model evaluations.
- Build tools to benchmark, evaluate, and boost our models’ reasoning and performance.
- Collaborate with pre-training, reasoning, data, multimodal, applied, product efforts to push the frontiers of model capability.
Exceptional candidates may have:
-
A passion for data quality so deep that you think about it during your sleep.
- Expertise in ML and fine-tuning large language models.
- Experience working on large-scale recommendation models or other predictive systems.
- Experience in data-driven large language model behavior improvements.
- Experience in developing benchmarks or large-scale distributed machine learning systems.
- Experience in model optimizations under complex setups (e.g., multi-modality, multi-context, multi-agent, long-horizon tasks, diverse user preference/feedback).
Tech Stack
- Python
- Jax
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.
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:
- Coding assessment in a language of your choice.
- 2x post-training technical sessions: These sessions will be testing your ability to formulate, design and solve concrete problems in training data for post-training.
- Meet the Team: Present your past exceptional work and your vision with xAI to a small audience.
Our goal is to finish the main process within one week. All interviews will be conducted via Google Meet.
Annual Salary Range
$180,000 - $440,000 USD
xAI is an equal opportunity employer.
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