Senior ML Infra Engineer — GPU & Scale Expert

Maven Ventures; Palo Alto (CA); In loco; USD 180.000 - 330.000; Tempo pieno

Vantaggi offerti da questo lavoro

Equity

Medical, vision, dental coverage

401(k) retirement plan

Disability/Life insurance

Descrizione del lavoro

SpaceXSI in Palo Alto is seeking an experienced Senior ML Infrastructure Engineer to design and scale a high-performance ML platform powering X recommendations. You will build GPU compute infrastructure, data pipelines, and workflows, collaborating with ML teams to productionize models.

The role requires a strong background in distributed systems, Python and C++/Rust, and hands-on experience with modern ML frameworks. Equity, medical coverage, and a 401(k) plan are part of the package.

Competenze

• Bachelor's, master's, post-graduate, or Ph.D. degree in computer science, machine learning, or other quantitative discipline
• 5+ years of industry experience working with high traffic or large-scale production environments, distributed systems, GPU infrastructure, and/or deep learning applications
• 5+ years experience with ML platforms, training infrastructure, or close collaboration with modeling engineers and data scientists
• Experience with Python and compiled languages such as C++ or Rust

Mansioni

• Designing, building, and scaling GPU compute infrastructure, training frameworks, and experimentation tools to enable rapid iteration on ML hypotheses
• Developing data pipelines and integrating large-scale data, training, and inference systems
• Collaborating with ML teams to productionize models and ensure seamless integration across the stack
• Ensuring scalability, reliability, and efficiency of large-scale machine learning systems
• Working across the full stack to solve complex problems independently
• Mentoring junior engineers and contributing to the growth of the team

Conoscenze

Python

C++

Rust

Distributed systems

GPU infrastructure

PyTorch

JAX

Linux

Slurm

Puppet/Ansible

Formazione

Bachelor's, master's, post-graduate, or Ph.D. in computer science / machine learning / quantitative discipline

Strumenti

NVIDIA drivers

CUDA toolkits

Descrizione del lavoro

SpaceXSI in Palo Alto is seeking an experienced Senior ML Infrastructure Engineer to design and scale a high-performance ML platform powering X recommendations. You will build GPU compute infrastructure, data pipelines, and workflows, collaborating with ML teams to productionize models.

The role requires a strong background in distributed systems, Python and C++/Rust, and hands-on experience with modern ML frameworks. Equity, medical coverage, and a 401(k) plan are part of the package.