Role at a glance
- Salary
- Not Disclosed
- Location
- Palo Alto, California, United States
- Work arrangement
- On-site
- Employment
- Full-time
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Role Summary
Applied engineers will work on recommendation systems and related technologies to connect users with relevant content, accounts, and experiences. The role focuses on improving recommendation algorithms and machine-learning systems through product-data training and experimentation.
What You'll Do
- Design and architect recommendation algorithms across product surfaces.
- Use the company’s infrastructure and AI stacks to enhance the user experience.
- Write data pipelines and training jobs that continuously learn from product data.
- Gather user feedback in real time through experimentation to iterate on and improve the algorithm.
- Ensure machine-learning systems are scalable and efficient.
Generated from the employer's posting. Verify important details before applying.
View full postingQualifications
Knowledge of data infrastructure such as Kafka, Clickhouse, and Spark; experience implementing recommender systems and/or deep learning applications at industrial scale; skill in one or more deep-learning frameworks such as JAX or PyTorch.
Preferred
- Experience writing CUDA kernels.
Original job description
Content provided by the employer
Original job description
Content provided by the employer
SpaceXAI’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 employees are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates.
ABOUT THE ROLE:
We’re seeking exceptional Applied engineers to join a high-priority project that approximately 600 million monthly users use. This is an exciting opportunity for individuals with a engineer or scientist background to apply their skills to recommendation systems, ranking algorithms, search technologies, and many other systems. You’ll work at the intersection of advanced AI development and real-world impact, enhancing the ability to connect users with relevant content, accounts, and experiences.
RESPONSIBILITIES:
- Designing and architecting recommendation algorithms across various product surfaces
- Leverage all of SpaceXAI's infra and AI stacks to dramatically enhance the user experience
- Write data pipelines and training jobs that continuously learn from product data.
- Iterate and improve the algorithm by gathering user feedback in real time through experimentation
- Ensuring scalability and efficiency of machine learning systems
BASIC QUALIFICATIONS:
- Knowledge of data infrastructure like Kafka, Clickhouse, and Spark
- Experienced in implementing recommender systems and/or deep learning applications at industrial scale
- Skilled in one or more DL software 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 just one part of our total rewards package at SpaceXAI, 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.
SpaceXAI is an equal opportunity employer. For details on data processing, view our Recruitment Privacy Notice.
About the company
xAI
Large Enterprise
xAI is a cutting-edge technology company focused on developing advanced artificial intelligence solutions to enhance human capabilities and optimize decision-making processes. Founded by a team of leading experts in AI and machine learning, xAI aims to address complex challenges across various industries, including healthcare, finance, and transportation. By prioritizing ethical AI development, the company is committed to creating innovative tools that empower organizations to harness the full potential of artificial intelligence while ensuring transparency and accountability.