Used Tools & Technologies
Not specified
Required Skills & Competences
Tag name is followed by "@" symbol and proficiency level value.
About proficiency levels:
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Kafka @ 3
Spark @ 3
Algorithms @ 3
Machine Learning @ 3
Communication @ 6
Prioritization @ 6
Experimentation @ 3
PyTorch @ 3
CUDA @ 3
Deep Learning @ 3
AI @ 3
ClickHouse @ 3
Data Pipelines @ 3
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Details
xAI’s mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. The team is small, highly motivated, and focused on engineering excellence. Employees are expected to be hands-on, contribute directly to the company’s mission, show initiative, and have strong communication and prioritization skills.
About the role
We’re seeking exceptional applied engineers to join a high-priority project used by approximately 600 million monthly users. This role is for engineers or scientists who will apply their skills to recommendation systems, ranking algorithms, search technologies, and related systems. You will work at the intersection of advanced AI development and real-world impact to connect users with relevant content, accounts, and experiences.
Responsibilities
- Designing and architecting recommendation algorithms across various product surfaces
- Leveraging xAI’s infrastructure and AI stacks to enhance the user experience
- Writing data pipelines and training jobs that continuously learn from product data
- Iterating and improving algorithms by gathering user feedback in real time through experimentation
- Ensuring scalability and efficiency of machine learning systems
Requirements
- Knowledge of data infrastructure like Kafka, ClickHouse, and Spark
- Experience implementing recommender systems and/or deep learning applications at industrial scale
- Skilled in one or more deep learning frameworks such as JAX or PyTorch
- Exceptional candidates may be experienced in writing CUDA kernels
Compensation and benefits
$180,000 - $440,000 USD
Base salary is one part of the total rewards package, which also includes equity, medical/vision/dental coverage, access to a 401(k) retirement plan, short & long-term disability insurance, life insurance, and other discounts and perks.
xAI is an equal opportunity employer. For details on data processing, view the Recruitment Privacy Notice linked in the posting.