works well in an extremely innovative and fast-paced environment. If you can translate complex problems into actionable insights, then please continue reading.
WHAT YOU'LL DOThe 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.
WHAT YOU'LL NEEDMinimum qualifications:
●PhD degree or equivalent algorithm testing and coding experiment experience
in Computer Vision and Machine Learning with up-to-date extensive knowledge
and experience in deep learning algorithms including the latest multimodal
foundation models and generative AI frameworks’ exploration, development
and implementation.
●Extensive experience with common machine learning Python frameworks such as Tensorflow and Pytorch; and Python programming libraries such as pandas, and computer vision libraries such as OpenCV.
●Experience in ONNX and TensorRT.
●Very comfortable working in Linux environment.
●Familiarity with software development tools and agile development practices.
●6 years experience in developing, optimising and testing deep learning in
computer vision models.
●Excellent communication skills (written / verbal).
●Experience in working a development team.
●Motivated to drive tasks to completion and meeting rigorous time requirements.
●Ability to work in a fast-paced development environment.
BONUS POINTS IF
● Knowledge of C++, Github, Jira.
●Experience of working on object detection and/or tracking, re-identification,
visual attribute recognition, video analysis and understanding, vision-language
multimodal self-supervised learning, multimodal foundation generative models.
●Experience of testing and deploying machine learning models into production.
Veritone is a leading provider of artificial intelligence (AI) technology and solutions. The company's proprietary operating system, aiWARE, orchestrates an expanding ecosystem of machine learning models to transform audio, video and other data sources into actionable intelligence. We love to continuously grow while staying ahead of trends and creating structure in an unstructured world.
If you’ve made it this far and align with our goals, we look forward to reviewing your qualifications!
DISCLOSUREOur company provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability or genetics.
Should candidates not be normally resident in the UK they must be able to demonstrate their eligibility to work in the UK in accordance with the Asylum and Immigration Act 1999.
The successful candidate will be working in the Veritone UK development branch located in London.
Top Skills
Veritone Irvine, California, USA Office
5291 California Avenue, Irvine, CA, United States, 92617
Similar Jobs at Veritone
What you need to know about the Los Angeles Tech Scene
Key Facts About Los Angeles Tech
- Number of Tech Workers: 375,800; 5.5% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Snap, Netflix, SpaceX, Disney, Google
- Key Industries: Artificial intelligence, adtech, media, software, game development
- Funding Landscape: $11.6 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Strong Ventures, Fifth Wall, Upfront Ventures, Mucker Capital, Kittyhawk Ventures
- Research Centers and Universities: California Institute of Technology, UCLA, University of Southern California, UC Irvine, Pepperdine, California Institute for Immunology and Immunotherapy, Center for Quantum Science and Engineering
