Senior Machine Learning Engineer

Raspberry AI; United States; Remote; USD 120,000 - 160,000; Full time

Job summary

A leading AI software company in the United States is looking for a Senior Machine Learning Engineer to improve generative AI models for fashion brands. This full-time remote role involves conducting research, implementing new techniques, and collaborating closely with the team. The ideal candidate has a Master's or Ph.D. in Computer Science or Machine Learning, with strong skills in deep learning frameworks and cloud platforms. This is an exciting opportunity to shape the future of fashion technology.

Qualifications

• 3+ years of industry experience in machine learning.
• Strong understanding of generative models and deep learning techniques.
• Hands-on experience with cloud GPU platforms.

Responsibilities

• Conduct applied research on diffusion model architectures.
• Implement techniques for quality improvement in generated designs.
• Analyze and interpret experimental results.
• Collaborate to translate prototypes into production systems.
• Stay updated on advancements in generative AI research.

Skills

Deep learning

Generative models (GANs, VAEs, Diffusion Models)

Presentation skills

Research and analysis

Education

Master’s or Ph.D. in Computer Science, Machine Learning, or a related field

Tools

PyTorch

AWS

GCP

Azure

Job description

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.