Woven Planet

Software Engineer, ML Platform – Internship

Woven Planet

internship

Posted on:

Location Type: Hybrid

Location: Ann Arbor • Missouri • United States

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Job Level

Entry Level

Tech Stack

AirflowAWSAzureCloudDockerGoogle Cloud PlatformKubernetesPythonPyTorch

About the role

  • Own and drive well‑defined projects within our ML platform and training infrastructure
  • Analyze performance, scalability, and reliability bottlenecks in production ML workflows
  • Improve observability of training and evaluation pipelines through profiling, logging, and telemetry
  • Design and integrate MLOps tools that improve developer productivity and system reliability
  • Develop robust integration tests to improve platform stability
  • Quantify and validate improvements through systematic benchmarking and experimentation
  • Document technical designs and findings, and present progress and results to the team

Requirements

  • Currently pursuing a BSc, Master’s or PhD in Computer Science, Computer Engineering, or a related field
  • Expert proficiency in Python and experience with PyTorch or similar ML frameworks
  • Experience with containerization and deployment technologies (e.g., Docker)
  • Experience building scalable data processing or ML workflows using systems such as Kubernetes, Airflow, Flyte, or similar platforms
  • Experience designing, implementing, and maintaining software systems or research tooling
  • Proficiency with version control systems (e.g., Git)
  • Familiarity with benchmarking, experimentation, and performance evaluation methodologies
  • Experience with distributed training frameworks (e.g., PyTorch Distributed, Horovod)
  • Knowledge of cloud infrastructure and resource management (e.g., AWS, GCP, Azure)
  • Experience designing ML systems or infrastructure for research or production environments
  • Background in autonomous driving, robotics, or large‑scale perception systems
  • Familiarity with C++ or performance‑critical systems programming
  • Strong technical writing and presentation skills
Benefits
  • We are an equal opportunity employer and value diversity.
  • Any information we receive from you will be used only in the hiring and onboarding process. Please see our privacy notice for more details.
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
PythonPyTorchDockerKubernetesAirflowFlyteGitPyTorch DistributedHorovodC++
Soft Skills
technical writingpresentation skills