SpaceXAI, operating out of Palo Alto, CA, seeks a Member of Technical Staff to lead innovative research and engineering in AI, focusing on large language model training, pipeline parallelism, and fine‑tuning. The role involves hands‑on technical problem solving, design and implementation, and collaboration across the company to deliver impactful projects in machine learning, data science, recommendation systems, and information retrieval. The position offers a competitive salary range of $324,000 to $396,000 per year and allows telecommuting.
Member of Technical Staff at xAI
Remote - Palo Alto, CA
More jobs at xAISalary
USD 324,000 - 396,000
Requirements
Skills
- 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 BigData systems such as Spark, Hadoop, BigQuery, and related technology
- 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
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
Technologies
SparkHadoopBigQueryKubernetesGCPAzureAWSGPUsTPUsRustC++Pythonlarge language modelsnatural language processingcomputer visionspeech recognition
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