Sr. Machine Learning Engineer

United Kingdom

Veritone

Transform your workflows and superpower your teams with innovative, custom AI solutions, AI services, and a powerful enterprise AI platform.

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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.

WHAT YOU’LL DO

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:

  • Work within a multi-disciplinary software development team, although also able to work independently, and take ownership of software development tasks from specification to completion.
  • Complete developer level unit and integration testing of developed features to verify functionality and operation within limits.
  • Investigate and solve problems discovered by evaluation testing, product support and by customers and contribute to a resolution plan for each issue.
  • Provide technical input into user documentation and produce development process related technical documentation.

WHAT YOU'LL NEED 

Minimum 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, optimizing 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.
  • Programming/script languages:
    • Go, bash script
  • Libraries & frameworks:
    • Tensorflow, PyTorch, Boost, CUDA, TensorRT, Protbuf, AMQP
  • Experience in ElasticSearch Data Base
  • Experience with LXC and/or Docker containers
  • Familiarity with Atlassian SW Dev Tools and agile development practices
    • Jira for Agile SW feature tracking & reports
    • Confluence for Documentation control
    • Bamboo for automated SW Testing
  • Development of scalable applications

WHAT WE OFFER

  • A competitive compensation package
  • Remote first + Hybrid workplace
  • VERI Communities (Affinity Groups) & Belonging
  • Empowerment to build your career journey at Veritone
  • Flexible (Paid) Time Off
  • Mental health awareness and support
  • An opportunity to be a part of the next big thing in artificial intelligence!

OUR CULTURE

  • Loves learning & continuous growth; stays current on marketing trends
  • Can juggle multiple projects, priorities, and deadlines with a positive attitude
  • Comfortable in a fast-paced, small company environment
  • Collaborative and always contributing value
  • Driven to win as a team
  • Remote first workplace
  • Check us out!

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!

DISCLOSURE

Our 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.

 

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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Tags: Agile Computer Vision Confluence CUDA Deep Learning Docker Elasticsearch Generative AI Generative modeling GitHub Jira Linux LLMs Machine Learning ML models ONNX OpenCV Pandas PhD Python PyTorch TensorFlow TensorRT Testing

Perks/benefits: Career development Competitive pay Flex hours Flex vacation

Regions: Remote/Anywhere Europe
Country: United Kingdom

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