About the role

Aplyr's Quick Take

This role is for a mid-level technical staff member focused on machine learning and large model scaling. You'll be hands-on with tasks like optimizing training data and developing evaluation methods. It's an individual contributor position in a flat organizational structure, requiring strong engineering skills and initiative.

Good fit

Ideal candidates have a solid background in machine learning, particularly with large models, and experience in data processing frameworks like Spark and Ray. Those who thrive in fast-paced, collaborative environments and enjoy tackling complex challenges will do well here.

Worth noting

The salary range is quite broad, suggesting significant variability based on experience or negotiation. The emphasis on a flat structure and initiative means that self-starters may find more opportunities for leadership and impact.

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 employees are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates.

RESPONSIBILITIES:

Scale synthetic coding data to trillions of tokens with large-scale docker verification.
Distill the intelligence of flagship models into flash models through synthetic data generation.
Optimize mid-training data mixtures to boost the ceiling for RL.
Engineer long-context data recipes.
Develop robust and diverse evaluation for mid-training checkpoints.

BASIC QUALIFICATIONS:

Expertise in ML and large model scaling, with familiarity across all kinds of scaling laws.
Strong ability to design ML experiments.
Familiarity with state-of-the-art techniques for curating AI training data for text, image, audio, and video modalities.
Strong engineering abilities in Spark, Ray, and other frameworks for large-scale data processing.

COMPENSATION AND BENEFITS:

$180,000 - $440,000 USD

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.

Skills & Tags

aws docker ai ios data design

Aplyr's read

xAI is reshaping AI-driven scheduling and meeting management, attracting talent in cloud infrastructure and legal expertise for its innovative solutions.
Synthesized from recent postings & public sources

What's promising

•xAI focuses on niche AI applications, enhancing productivity with automated scheduling.
•Recent hiring in cloud infrastructure suggests growth and investment in robust technology.
•Legal and commercial roles indicate a focus on compliance and strategic partnerships.

What to watch

•Limited public information about financial health and market performance.
•Potential over-reliance on a narrow product focus in a competitive AI landscape.
•The AI scheduling market faces stiff competition from larger, established players.

Why xAI

•xAI's specialization in meeting management automation sets it apart from broader AI firms.
•The company's focus on legal and compliance roles highlights a proactive approach to regulation.
•Hiring for diverse roles like BIM Manager and Commissioning Lead indicates a multidisciplinary approach.

Aplyr’s read is generated by AI from public sources. Was it useful?

About xAI

xAI

x.ai

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XAI (x.ai) is a technology company that specializes in artificial intelligence solutions, particularly focused on automating scheduling and meeting management.