Start Date
Immediate
Expiry Date
05 May, 25
Salary
0.0
Posted On
05 Feb, 25
Experience
6 year(s) or above
Remote Job
No
Telecommute
No
Sponsor Visa
No
Skills
Completion, Deep Learning, Opencv, Machine Learning, Computer Vision, Communication Skills, Software Development Tools, Pandas
Industry
Computer Software/Engineering
WE ARE VERITONE
Veritone (NASDAQ: VERI) designs human-centered AI solutions. Serving customers in the talent acquisition, media, entertainment and public sector industries, Veritone’s software and services empower individuals at the world’s largest and most recognizable brands to run more efficiently, accelerate decision making and increase profitability. Veritone’s leading enterprise AI platform, aiWARE™, orchestrates an ever-growing ecosystem of machine learning models, transforming data sources into actionable intelligence. By blending human expertise with AI technology, Veritone advances human potential to help organizations solve problems and achieve more than ever before, enhancing lives everywhere. To learn more, visit Veritone.com.
POSITION SUMMARY
Our team is looking to add an ambitious Senior Machine Learning Engineer who works well in an extremely innovative and fast-paced environment. If you are capable of translating complex problems into actionable insights, then please continue reading.
MINIMUM QUALIFICATIONS:
The successful candidate will work with a team of UK (London) based developers driving the definition, development and evolution of the Veritone’s Track, which takes both images and video data and performs intelligent analysis including but not limited to object detection, tracking, recognition for law enforcement, public safety, and media entertainment applications. The work will involve developing novel deep learning models and algorithms for image and video analysis; object detection and tracking, cross-domain/cross-view object localization, person and vehicle re-identification and search, visual attribute recognition and search in videos and images, vision-language multimodal self-labelling and self-supervised learning, human-in-the-loop hard negative mining for model incremental learning, LLM (Large Language Model) driven image data generation and data distribution augmentation, uncertainty quantification for label noise minimization.
The Sr. ML Engineer is expected to: