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Rust Library Jobs in California (NOW HIRING)

Machine Learning Engineer, Infrastructure

Menlo Park, CA · On-site

$126.70K - $166.20K/yr

Demonstrate proficiency in programming languages such as Python, Java, C++, or Rust. * Have hands-on experience with ML frameworks and libraries (e.g., TensorFlow, PyTorch, Keras, Jax). * Work with ...

Knowledge of Xstate or similar state management libraries Nice to Have * Proficiency with Rust * Experience with CodeMirror6 * Experience with ASTs even if custom ESLint rules * Experience with WebGL ...

Read, debug, and contribute to LLM runtime and supporting library code (Rust and/or C++) * Deploy and manage models at scale using tools like vLLM and Baseten * Architect scalable pipelines for model ...

Read, debug, and contribute to LLM runtime and supporting library code (Rust and/or C++) * Deploy and manage models at scale using tools like vLLM and Baseten * Architect scalable pipelines for model ...

Read, debug, and contribute to LLM runtime and supporting library code (Rust and/or C++) * Deploy and manage models at scale using tools like vLLM and Baseten * Architect scalable pipelines for model ...

... libraries and model-execution frameworks. Your work will focus on making the hardware operate ... Proficiency in C/C++ or Rust * Strong fundamentals in data structures and algorithms * Strong ...

We are responsible for providing services, proxies, meshes, libraries, and other primitives to ... Skilled with one or more advanced programming language such as C, C++, Rust, Java, Go, or native ...

... libraries and model-execution frameworks. Your work will focus on making the hardware operate ... Proficiency in C/C++ or Rust * Strong fundamentals in data structures and algorithms * Strong ...

Senior Software Engineer, Hardware Security

San Jose, CA · On-site

$134.20K - $184K/yr

... libraries required for communicating with and managing security chips. • Design and implement ... with Rust, C, or C++. Preferred : • Master's degree or PhD in Computer Science or a related ...

Staff Engineer - Firmware

Pleasanton, CA · On-site

$150K - $180K/yr

Experience in Rust , on bare-metal or embedded Linux. * Experience in Python, including common scientific libraries and building developer tools. * Expert-level understanding of control algorithms ...

Staff Engineer - Firmware

Pleasanton, CA · On-site

$150K - $180K/yr

Experience in Rust , on bare-metal or embedded Linux. * Experience in Python, including common scientific libraries and building developer tools. * Expert-level understanding of control algorithms ...

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Rust Library information

What is the difference between Rust Library vs Rust Developer?

AspectRust LibraryRust Developer
Required CredentialsKnowledge of Rust programming, library development experienceProficiency in Rust, software development skills, possibly a degree in computer science
Work EnvironmentTypically works on creating, maintaining, or documenting Rust librariesDevelops software applications using Rust, may work on libraries as part of projects
Employer & Industry UsageOpen-source projects, tech companies, software firmsTech companies, startups, software development firms
Search & Comparison IntentLooking for roles related to creating or maintaining Rust librariesSeeking software development roles involving Rust programming

In summary, a Rust Library focuses on developing and maintaining reusable code components in Rust, often within open-source or collaborative projects. A Rust Developer, however, is a broader role involving designing, coding, and deploying software applications using Rust, which may include working with or creating libraries as part of their responsibilities.

What job categories do people searching Rust Library jobs in California look for? The top searched job categories for Rust Library jobs in California are:
What cities in California are hiring for Rust Library jobs? Cities in California with the most Rust Library job openings:
Machine Learning Engineer, Infrastructure

Machine Learning Engineer, Infrastructure

Moloco

Menlo Park, CA • On-site

$126.70K - $166.20K/yr

Other

Posted 5 days ago


Job description

The Impact You'll Be Contributing to Moloco

As a Machine Learning Engineer focused on ML Infra, you will drive the development and optimization of scalable machine learning infrastructure, directly enhancing the performance and reliability of our Ads product line. Your work will empower teams to deliver high-quality, data-driven advertising solutions at scale.

The Opportunity

  • Design, build, and maintain robust machine learning infrastructure to support large-scale ad serving and model training at a global scale.
  • Develop and optimize data pipelines and workflows for efficient model deployment and monitoring.
  • Collaborate with cross-functional teams-including data scientists, product managers, and software engineers-to deliver end-to-end ML solutions.
  • Implement best practices for model versioning, reproducibility, and continuous integration/continuous deployment (CI/CD) in ML systems.
  • Build and operate high performance ML systems using modern frameworks and languages such as JAX and Rust, optimized for execution on GPUs and TPUs.
  • Monitor, troubleshoot, and continuously improve the reliability, scalability, and performance of ML systems delivering millions of predictions per second worldwide
  • Evaluate and integrate new tools, frameworks, and technologies to enhance the ML platform's capabilities.
  • Integrate AI-driven agents into the core engineering and modeling lifecycle to automate and amplify the team's impact.
  • Contribute to the design and execution of experiments to improve ad quality and system performance.
  • Document system architecture, processes, and best practices to ensure knowledge sharing and maintainability.

How Do I Know if the Role is Right For Me?

  • 4+ years of experience in machine learning engineering, ML infrastructure, or a related field.
  • Demonstrate proficiency in programming languages such as Python, Java, C++, or Rust.
  • Have hands-on experience with ML frameworks and libraries (e.g., TensorFlow, PyTorch, Keras, Jax).
  • Work with cloud platforms (e.g., AWS, GCP, Azure) and containerization/orchestration tools (e.g., Docker, Kubernetes).
  • Build and maintain scalable data pipelines using tools like Apache Beam, Apache Spark, Airflow, or similar.
  • Thrive in ambiguous environments, proactively identifying and solving complex infrastructure challenges.
  • Collaborate effectively with cross-functional teams to deliver impactful solutions.
  • Apply strong problem-solving skills and a growth mindset to continuously improve systems and processes.