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ML/AI Engineer

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ML/AI Engineer in Others new

  • USA (city not specified)

Responsibilities

  • Build tools and platforms for dataset creation, annotation, evaluation, validation, and delivery.
  • Design and implement APIs, internal applications, and developer tooling.
  • Develop AI agents, task environments, evaluation pipelines, and automated quality-control systems.
  • Design data pipelines for dataset creation, annotation, and delivery at scale.
  • Improve the reliability, scalability, and efficiency of AI training and data production workflows.
  • Investigate production issues, identify root causes, and implement durable fixes.
  • Contribute to technical design and architecture decisions balancing speed, quality, and maintainability.
  • Collaborate with research and domain experts to translate requirements into practical solutions.

Requirements

  • Strong software engineering fundamentals and a proven track record of shipping production systems.
  • Experience working independently and effectively in fast-paced, ambiguous environments.
  • Ability to balance speed, quality, scalability, and maintainability in technical decisions.
  • Strong debugging, problem-solving, and communication skills with cross-functional teams.
  • Interest in the challenges of training and evaluating AI systems.
  • Proficiency in large-scale data generation and data pipeline orchestration.
  • Experience with statistical analysis, data visualization, and data manipulation.
  • Framework experience with Spark, Beam, or Dataflow is preferred.

Benefits

  • Work on frontier AI initiatives involving expert datasets, reinforcement-learning environments, and advanced benchmarks.
  • Contribute to leading-edge AI research and potentially showcase work at conferences such as ICLR, ICML, and NeurIPS.
  • Apply frontier AI innovation to real-world enterprise workflows.
  • Collaborate with experienced AI and technology professionals from companies including Google, Meta, and Amazon.
  • Work in a startup-paced environment with high ownership, speed, and impact.

Turing

Turing builds AI data pipelines and systems for enterprises and AI labs. It creates large-scale datasets and reinforcement-learning environments to train and evaluate models, and deploys agentic AI applications in domains like software engineering and enterprise workflows. The company also operat...

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