Applied Research Engineer – Video Data & ML

United States

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Not SpecifiedCompensation

Mid-level (3 to 4 years)Experience Level

Full TimeJob Type

UnknownVisa

Artificial Intelligence, AI & Machine Learning, Computer VisionIndustries

Requirements

Candidates should have 3-5 years of experience in computer vision, applied ML, or data-centric AI, particularly with video data or temporal modeling. A working knowledge of video modeling techniques and benchmarks for tasks such as tracking, segmentation, or action recognition is required, along with hands-on experience fine-tuning or evaluating small ML models using tools like PyTorch, TensorFlow, or Hugging Face. Familiarity with video labeling tools or custom platforms and a strong understanding of the ML data lifecycle are also necessary.

Responsibilities

The Applied Research Engineer will co-develop clear guidelines for video annotation tasks including frame-level and segment-level classification, temporal localization, gesture/action recognition, multi-object tracking, and human-object interaction labeling. They will work with ML stakeholders to align labeling specifications with downstream use cases, identify labeling gaps affecting model performance on public benchmarks, and recommend guideline updates based on error analysis. Responsibilities also include supporting small-scale model fine-tuning efforts, running basic evaluation experiments, collaborating with QA leads to build gold sets and spot-check protocols, and acting as a technical bridge between ML engineers, annotators, and QA reviewers by creating documentation and communicating updates.

Skills

video understanding

machine learning

computer vision

dataset development

model fine-tuning

annotation pipelines

labeling workflows

AI systems

Turing

AI-driven matching of businesses with engineers

About Turing

Turing provides tech services by using artificial intelligence to connect businesses with skilled software engineers for custom application development and on-demand engineering needs. The company has a large pool of over 3 million vetted engineers from 150 countries, allowing businesses to quickly find the right talent for their projects. When a company needs a developer, they specify the required skills, and Turing's AI matches them with the best candidates, streamlining the recruitment process and helping companies complete projects faster. Turing also supports engineers by offering access to high-paying remote job opportunities in the U.S., with a high rematch rate ensuring job stability. The goal of Turing is to enhance recruitment efficiency for businesses while providing valuable job opportunities for engineers.

Palo Alto, CaliforniaHeadquarters

2018Year Founded

$132.3MTotal Funding

SERIES_DCompany Stage

Enterprise Software, AI & Machine LearningIndustries

1,001-5,000Employees