Machine Learning Engineer, Safety at xAI

Palo Alto, California, United States

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Artificial Intelligence, TechnologyIndustries

Requirements

5+ years of experience in machine learning engineering or related roles
Proven expertise in managing the full ML lifecycle, from data preparation to model serving
Familiarity with modern data pipelines and ML infrastructure ecosystems
A passion for 0-to-1 environments, with a track record of trailblazing novel ML solutions
Prior experience in Trust and Safety or applying ML to content moderation challenges (preferred)
Experience leveraging large language models (LLMs) for real-world applications, such as natural language understanding or anomaly detection (preferred)
Fluency in Python, with proficiency in ML libraries like TensorFlow or PyTorch (preferred)
Background in designing and managing scalable systems for large datasets (preferred)
A passion for xAI’s mission to advance human scientific discovery and foster open, authentic interactions (preferred)
A proactive mindset with a touch of humor to thrive in a fast-paced, impact-driven environment (preferred)

Responsibilities

Own the end-to-end machine learning lifecycle for safety systems, including data gathering, cleaning, model training, evaluation, and serving at scale
Develop and deploy ML models to detect and remediate violative content in areas such as abuse, spam, and child safety
Integrate models into production systems for real-time inference and high-throughput processing to support platform integrity
Apply creative problem-solving to design novel ML solutions for uncharted safety challenges
Collaborate with engineering, product, and operations teams to enhance xAI’s safety ecosystem
Lead technical initiatives in ML-driven areas like fraud detection or content moderation

Skills

Key technologies and capabilities for this role

Machine LearningModel TrainingModel EvaluationModel DeploymentData CleaningReal-time InferenceProduction ServingData Gathering

Questions & Answers

Common questions about this position

Is this role remote or in-office?

This is an in-person role based in Manila, Philippines, requiring up to 25% travel.

What is the salary range for this position?

This information is not specified in the job description.

What are the required qualifications for this Machine Learning Engineer role?

Candidates need 5+ years of experience in machine learning engineering or related roles, proven expertise in managing the full ML lifecycle from data preparation to model serving, familiarity with modern data pipelines and ML infrastructure ecosystems, and a passion for 0-to-1 environments with a track record of trailblazing novel ML solutions.

What is the company culture like at xAI?

xAI has a small, highly motivated team focused on engineering excellence, operating with a flat organizational structure where all employees are hands-on, contribute directly to the mission, and leadership is given to those who show initiative and deliver excellence. Strong work ethic, prioritization skills, and communication are emphasized.

What makes a strong candidate for this role?

Ideal candidates are creative problem-solvers who thrive in 0-to-1 environments, prioritize impactful code over documentation, have a passion for xAI’s mission, and bring experience in Trust and Safety, LLMs, Python with TensorFlow or PyTorch, and scalable systems.

xAI

AI tools for research and information retrieval

About xAI

x.ai develops AI tools aimed at enhancing research and information retrieval. Their main product, Grok, is designed to answer a variety of questions, including unconventional ones that other AI systems might not handle. Grok provides real-time knowledge, making it a useful resource for researchers, academics, and professionals who need quick access to relevant information. Unlike competitors, Grok stands out for its ability to suggest questions and provide nuanced answers, catering to a diverse range of inquiries. The goal of x.ai is to empower users by streamlining their research processes and fostering innovation through reliable information access.

Burlingame, CaliforniaHeadquarters

2023Year Founded

$11,803.1MTotal Funding

SERIES_CCompany Stage

Data & Analytics, AI & Machine LearningIndustries

1,001-5,000Employees

Benefits

Health Insurance

Remote Work Options

Risks

Increased competition from Anthropic could challenge xAI's market position.

Legal battles involving Elon Musk may divert resources from xAI's operations.

Reliance on Nvidia GPUs poses risks if supply chain issues arise.

Differentiation

Grok answers unconventional questions, unlike many AI systems.

xAI's Grok provides real-time knowledge, enhancing research efficiency.

Grok's ability to generate striking images sets it apart in visual data processing.

Upsides

xAI secured $6 billion funding, boosting AI infrastructure and R&D.

Grok's iOS app launch expands user accessibility and engagement.

AI-driven research tools are increasingly integrated with cloud platforms, aiding xAI's growth.

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