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2 дня назад

Senior Software Engineer - ML Data Delivery

160 800 - 193 000$
Формат работы
remote (только USA)
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
Senior Software Engineer - ML Data Delivery (Python/MLOps): Building data quality, curation, and delivery pipelines that feed on-demand model training for autonomous vehicle perception with an accent on large-scale data processing, pseudo-label quality, and pipeline reliability. Focus on designing distributed data systems, solving throughput and quality bottlenecks, and translating statistical findings into improvements for ML training workflows.

Location: Remote within the United States; office location in Ann Arbor, Michigan.

Salary: $160,800–$193,000 USD annually, plus bonus and stock options.

Company

Autonomous vehicle software company developing automated trucking solutions in partnership with a major truck manufacturer.

What you will do

  • Design, implement, test, and deploy quality-control tooling and pipelines for pseudo-labeled image and point-cloud data.
  • Build and improve data ingestion, preparation, curation, governance, and delivery systems for on-demand ML training.
  • Provide statistical analysis and reporting on annotation quality, coverage, and pipeline health.
  • Optimize distributed data pipelines and services to improve throughput, reliability, and operational quality.
  • Define standards and guidelines for data quality control, delivery systems, deployment, and related processes.
  • Lead projects, guide implementation decisions, and mentor less experienced engineers.

Requirements

  • 6+ years of relevant experience with a bachelor’s degree, or 3+ years with a master’s degree, in computer science, robotics, electrical engineering, or a related field.
  • Strong software engineering experience building and operating data pipelines and services at scale.
  • Proficiency in Python, distributed data processing, Docker, CI systems, and cloud or VDI development environments.
  • Experience with MLOps, ML frameworks, experiment tracking, model registries, ML metrics, and quality evaluation; MLflow or Weights & Biases experience is relevant.
  • Experience processing Parquet data using tools such as PyArrow, Daft, or Pandas.
  • Knowledge of offline perception, pseudo-label generation, and frameworks such as PyTorch, Lightning, or Ray.

Nice to have

  • Experience with large-scale data delivery systems and related quality-control practices.
  • Previous experience with pseudo-labeling.

Culture & Benefits

  • Collaborative, energetic, and team-focused work environment.
  • 100% employer-paid medical, dental, and vision premiums for full-time employees.
  • 401(k) plan with a 6% employer match.
  • Flexible schedule and generous paid vacation available immediately after starting.
  • Company-wide holiday office closures, life insurance, AD&D coverage, bonus, and stock options.

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