Senior Machine Learning Engineer - Image Design Generation
New
J
JobgetherMachine Learning
AustraliaFull-TimeSenior
Salary not disclosed
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Job Details
- Required Skills
- PythonMachine LearningDeep LearningGenerative AIComputer Vision
Requirements
- Proven experience building and shipping machine learning models in production environments.
- Strong understanding of deep learning concepts, generative AI techniques, and modern ML research practices.
- Hands-on experience with image generation, computer vision, diffusion models, or related AI technologies is highly preferred.
- Experience moving models beyond experimentation into scalable, reliable production systems.
- Strong programming skills and experience working with machine learning frameworks and engineering tools.
- Ability to design and maintain ML pipelines and infrastructure for large-scale model serving.
- Understanding of production trade-offs between model quality, performance, latency, and reliability.
- Ability to independently drive projects from ideas and prototypes through deployment with minimal supervision.
- Strong analytical thinking and ability to solve complex technical challenges.
- Excellent communication skills with the ability to explain technical concepts clearly.
- Experience collaborating within cross-functional engineering and product teams.
Responsibilities
- Design, develop, and deploy machine learning models and systems for image generation and editing capabilities.
- Collaborate with ML engineers, backend engineers, frontend teams, and product partners to deliver user-facing AI features.
- Research and evaluate the latest advancements in deep learning and generative AI, transforming promising techniques into production-ready solutions.
- Investigate and resolve challenges related to model quality, latency, scalability, and reliability within production environments.
- Build and maintain ML infrastructure, pipelines, and deployment systems required to operate generation models at scale.
- Improve model performance by balancing generation quality, speed, reliability, and practical product requirements.
- Take ownership of technical projects from initial concepts and experiments through implementation and measurable business impact.
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