ML/AI Engineer

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ML/AI Engineer in Others new

Turing
Full time
Email

Others
11/11/2026
Report

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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