Research Engineer, Video – Contract Position
Pindrop
contract
Posted on:
Location Type: Remote
Location: Remote • 🇺🇦 Ukraine
Visit company websiteJob Level
Junior
Tech Stack
KerasPythonPyTorchTensorflow
About the role
- Design, curate, and maintain datasets used for ML model training, including data collection, augmentation, organization, and storage.
- Develop and maintain tools and pipelines for data collection, augmentation, analysis, and visualization.
- Contribute to research packages used for training, evaluating, and validating machine learning models.
- Conduct experimental studies across a variety of audio-processing tasks to assess accuracy, robustness, and model quality.
- Participate actively in the research team’s activities, including recurring research reviews, experimental discussions, and code reviews.
- Collaborate closely with researchers and engineering teams to integrate findings and improve research workflows.
Requirements
- Master’s degree or PhD in a quantitative field (Computer Science, Engineering, AI, Mathematics, etc.) or equivalent practical experience.
- 1+ years of professional experience as an ML or Research Engineer working in Deep Learning, preferably in Computer Vision, Pattern Recognition, Face Recognition, or broader Machine Learning.
- Hands-on experience preparing datasets for ML training and evaluation.
- Strong proficiency in Python.
- Experience with ML frameworks such as TensorFlow, Keras, or PyTorch.
Benefits
- Competitive compensation, including equity for all employees
- Unlimited Paid Time Off (PTO)
- Remote-first culture
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
machine learningdeep learningdata collectiondata augmentationdata analysisdata visualizationPythonTensorFlowKerasPyTorch
Soft skills
collaborationcommunicationteamworkresearchproblem-solving
Certifications
Master’s degreePhD