Senior ML Engineer
RecraftGenerative AI company
London, United KingdomSenior
Accel
Khosla Ventures
RTP Global
Madrona Ventures
Abstract VC
Basis Set Ventures
Data & AI
About the role
TL;DR
Develop and optimize AI models, conduct cutting-edge research, and push the boundaries of AI and machine learning.
- •We are looking for experienced Research Engineers to develop and optimize AI models, conduct cutting-edge research, and push the boundaries of AI and machine learning.
- •Key Responsibilities Develop and train large-scale generative models, pushing the boundaries of AI capabilities.
- •Design and run experiments to explore and refine model architectures, analyze results, and implement data-driven improvements.
- •Continuously innovate by developing and deploying new features that enhance user experiences.
- •Requirements Proven experience in training large-scale generative models (e.g., image generation, audio synthesis, or large language models).
- •Expertise in evaluating generative models, with a deep understanding of qualitative and quantitative metrics.
- •Strong proficiency in PyTorch and familiarity with state-of-the-art neural network architectures.
- •Hands-on experience building end-to-end machine learning pipelines, including data collection and pre-processing, model training and evaluation, inference serving.
- •Strong software engineering skills, ability to design, implement and maintain high-quality code.
- •English: B2+ (Upper-Intermediate or above), written and spoken.
Required skills
PyTorchTensorFlowscikit-learnPandasNumPyAirflowPostgreSQLMySQLMongoDBRedisAWSDockerKubernetesCI/CDGitHub Actions
Domain expertise
ai
Benefits & perks
Competitive salary and equity, Opportunities for professional growth and leadership, A collaborative, research-driven environment, The chance to work on cutting-edge AI projects that redefine creative workflows, The opportunity to contribute to open-source AI research and publications, Full-time, on-site role, Skilled Worker visa sponsorship in the UK for qualified candidates
Tech stack
PyTorchTensorFlowscikit-learnPandasNumPyAirflowPostgreSQLMySQLMongoDBRedisAWSDockerKubernetesCI/CDGitHub ActionsGitLinuxJiraConfluencePostmanREST APISlackExcelPowerPoint