# Member of Technical Staff

**Company:** [xAI](https://hotfix.jobs/companies/xai)
**Location:** Palo Alto, CA
**Role:** ML Engineering
**Salary:** $324k – $396k/yr
**Experience:** 2+ years
**Skills:** Spark, Hadoop, BigQuery, Kubernetes, Machine Learning, Deep Learning, Natural Language Processing, Computer Vision, Speech Recognition, Rust, C++, Python, GPU, Tpu, GCP
**Posted:** 2026-07-08

> Member of Technical Staff at xAI performing cutting-edge AI research and hands-on engineering to advance large language models, quantitative reasoning, and language understanding. Requires Bachelor's in CS/ML-related field plus 2 years experience with big data tools, Kubernetes, deep learning, NLP/CV/speech, and languages like Rust/C++/Python.

## Job Description

## Responsibilities
- Introduce innovative techniques and analyses to the AI field to facilitate breakthroughs in quantitative reasoning and language understanding.
- Stabilize large language model training, pipeline parallelism training of large language models, and fine-tuning large language models with truthful data.
- Ensure organization’s work is aligned with broader company objectives.
- Spend time working on hands-on technical problems including design and implementation.
- Perform cutting-edge research on advanced techniques from AI and deep learning, including neural network architectures, language modeling, and speech recognition.
- Work closely with leaders across the company to deliver impactful projects which may involve work in areas such as machine learning, applied data science, recommendation systems, and information retrieval systems.

## Requirements
- Bachelor’s or foreign equivalent degree in Computer Science, Computer Engineering, Mechanical Engineering, Machine Learning or in a related field.
- 2 years of experience in the job offered or in a computer-related occupation.
- Experience, knowledge or coursework in:
  - Big Data systems such as Spark, Hadoop, BigQuery, and related technology to build highly scalable data processing systems.
  - Building large-scale Kubernetes clusters for data storage, processing, and analysis on on-prem systems and cloud computing.
  - Applied machine learning techniques and deploying large-scale deep learning systems.
  - Working with distributed system engineers and AI researchers in developing technologies in the area of natural language processing, computer vision, and speech recognition applications.
  - Rust, C++, or Python programming language to build tooling and features within company software development code and standards.
  - Building applications with hardware accelerators, such as GPUs, TPUs from GCP, Azure, and AWS.

## Compensation
- $324,000 - $396,000 per year

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