Software Engineer III, GenAI Data Operations Research

Hackajob Ltd
Leeds, UK
3 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience required
1 year minimum
Compensation
£100,000.0
Working hours
Regular working hours

Tech stack

Artificial Intelligence Big Data Software Debugging Distributed Computing Environment Design of User Interfaces Python (Programming Language) DataOps Software Engineering Reinforcement Learning Data Processing Graphics Processing Unit (GPU) Deep Learning
+7 more
Model Validation Generative AI Information Technology Hardware Acceleration Machine Learning Operations Programming Languages Data Generation

Job description

  • Build scalable infrastructure and modular toolkits for at-scale distributed data processing, GenAI data generation, and metadata extraction.
  • Run, monitor, and scale deep learning experiments across compute clusters, and develop efficient inference pipelines using JAX.
  • Lead high-volume synthetic datasets, including metadata deliveries for XR and device projects.
  • Integrate automated evaluation and filtering tools to measure domain gaps and ensure high-quality, photorealistic data.
  • Migrate pipelines to specialized hardware accelerators like TPUs or GPUs for efficient production-scale inference.

Technologies:

  • AI
  • Android
  • Architect
  • Fine-tuning
  • Hardware
  • Mobile
  • Python
  • Web
  • XR
  • Security
  • UX UI Design

Requirements

  • Bachelors degree or equivalent practical experience.
  • 2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree.
  • 1 year of experience with one or more of the following: speech/audio, reinforcement learning, ML infrastructure, or specialization in another ML field.
  • 1 year of experience with ML infrastructure, such as model deployment, model evaluation, data processing, or debugging.
  • Masters degree or PhD in Computer Science or a related technical field.
  • Experience architecting infrastructure for bulk inference and metadata extraction.
  • Exposure to or direct experience with human-centric generative pipelines.
  • Proficiency in Python and experience with frameworks for large-scale data processing.
  • Ability to enable end-to-end fine-tuning for foundational GenAI models and optimize them for production environments, including specialized hardware like TPUs.

About the company

hackajob is partnering directly with Google to hire for this role. We develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products operate at massive scale across web search and beyond, and our software engineers work on critical projects with opportunities to switch teams as our fast-paced business grows and evolves. The Platforms and Devices team spans our computing software platforms across desktop, mobile, applications, and our first-party devices and services, combining Google AI, software, and hardware to create faster, more seamless user experiences around the world. In this GenAI stream role, we architect and scale critical infrastructure for GenAI data generation and inference, with work spanning distributed systems, large-scale deep learning, JAX-based pipelines, synthetic datasets for Android XR, human-centric generative pipelines, and production-ready evaluation and filtering.

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