Senior Machine Learning Engineer
At a glance
Senior Machine Learning Engineering role at Raspberry AI. Remote, United States · full-time · no salary stated · we estimate $181,150–$247,500 across the United States.
Raspberry AI has not published a salary for this role. The figure below is our estimate, not theirs.
aimlroles summary, based on the employer's posting.
What you'll do
- Study diffusion designs and learning approaches through applied experiments
- Develop and test methods that make generated designs better and more controllable
- Make sense of experiment outcomes, draw conclusions and share them clearly
- Work with teammates to move prototypes into production systems
- Follow new research in diffusion, deep learning and generative AI
What you bring
- A master's or doctoral degree in computer science, machine learning or a related area
- At least three years working in industry
- A strong grasp of deep learning theory and practice, particularly generative models such as GANs, VAEs or diffusion models
- Hands-on use of PyTorch and experience assessing generative models trained on cloud GPU services
- Skill tuning multimodal LLMs using API services and open-source implementations
Who this fits
This senior, full-time role suits someone focused on generative AI research who can carry experiments toward production. The position is remote within the United States. You'll need to explain complex technical material to technical and non-technical audiences.
From the employer
Raspberry AI
Raspberry AI is a leading provider of industry-defining AI design software for fashion brands and retailers. Our software empowers brands to rapidly understand consumer demand and create unique designs within minutes. Leveraging cutting-edge AI analytics and generative AI capabilities, we help fashion brands revolutionize their design and merchandising processes.
We are a Series A startup, backed by top-tier venture capital firms such as Andreessen Horowitz, Khosla Ventures, MVP and Greycroft.
About the Role
This is a full-time remote role for a Senior Machine Learning Engineer at Raspberry AI. We are seeking a highly talented and motivated Machine Learning Engineer to join our growing ML team. In this role, you will focus on improving the quality and performance of our cutting-edge diffusion models, pushing the boundaries of generative AI in the fashion domain.
Additional responsibilities may be assigned as business needs evolve.
Responsibilities
Conduct applied research and experimentation on state-of-the-art diffusion model architectures and training techniques.
Implement and evaluate novel techniques for improving quality and controllability in generated designs.
Analyze and interpret experimental results, draw meaningful conclusions, and communicate findings effectively.
Collaborate closely with the team to translate prototypes into production-ready systems.
Stay abreast of the latest advancements in diffusion models, deep learning, and generative AI research.
Requirements
Master's or Ph.D. in Computer Science, Machine Learning, or a related field. 3+ years of industry experience.
Strong theoretical and practical understanding of deep learning, with a focus on generative models (e.g., GANs, VAEs, Diffusion Models).
Hands-on experience with deep learning frameworks such as PyTorch.
Experience with training and evaluating generative models on cloud GPU platforms (e.g., AWS, GCP, Azure).
Proficiency in using and tuning multimodal LLMs, including experience with both API-based and open-source model implementations.
Ability to effectively present complex technical information to both technical and non-technical audiences.