Senior Machine Learning Research Engineer

Harnham; United States; On-site; USD 300,000 - 350,000; Full time

Job summary

Harnham is seeking a Senior Machine Learning Engineer for media generation to design, train, and deploy cutting-edge ML models. You will work on image, video, and 3D asset generation, pushing the boundaries of generative AI in creative tools and experiences.

The role emphasizes collaboration with product, engineering, and creative teams, with a focus on scalable pipelines, state-of-the-art architectures, and production-ready ML systems in a remote setup.

Qualifications

• Master's degree or higher in Computer Science, Machine Learning, Computer Vision, or related field.
• 3+ years of experience in machine learning, computer vision, or computer graphics.
• Strong Python skills with frameworks such as PyTorch or TensorFlow.
• Experience with generative models (diffusion, GANs, VAEs) and transformers (e.g., ViT).
• Solid understanding of 3D graphics, computational geometry, or related areas.
• Experience working in cross-functional teams and communicating technical concepts clearly.

Responsibilities

• Design, train, and deploy ML models for high-quality image, video, and 3D asset generation.
• Work across computer vision and graphics to generate meshes, textures, and motion.
• Build and optimize generative models such as diffusion, GANs, and transformer-based architectures.
• Integrate ML systems into user-facing creative tools and applications.
• Collaborate with product, engineering, and creative teams to ship AI-powered features.
• Manage ML infrastructure including datasets, experiments, and deployment pipelines.
• Stay up to date with emerging research and apply new techniques to production systems.

Skills

Python

PyTorch

TensorFlow

Machine Learning

Computer Vision

3D Graphics

Generative Models

Education

Master's degree or higher

Tools

PyTorch

TensorFlow

Job description

Title

Senior Machine Learning Engineer, Media Generation

Location

Remote

Compensation

Up to $350,000 + Equity

We're partnered with a well-funded startup at the forefront of media generation and digital identity, building the infrastructure for the next generation of interactive, AI-powered experiences. Their platform enables developers and creators to generate fully customizable characters, digital assets, and AI companions, positioning them at the intersection of generative AI, gaming, and social platforms.

This is a high-impact role within a growing R&D team, focused on building cutting-edge machine learning systems for media generation. You'll work on models that power character creation, digital fashion, and interactive experiences, helping define how users create and express themselves in digital environments.

What You’ll Do

• Design, train, and deploy ML models for high-quality image, video, and 3D asset generation
• Work across computer vision and graphics to generate meshes, textures, and motion
• Build and optimize generative models such as diffusion, GANs, and transformer-based architectures
• Integrate ML systems into user-facing creative tools and applications
• Collaborate with product, engineering, and creative teams to ship AI-powered features
• Manage ML infrastructure including datasets, experiments, and deployment pipelines
• Stay up to date with emerging research and apply new techniques to production systems

Requirements

• Master's degree or higher in Computer Science, Machine Learning, Computer Vision, or related field
• 3+ years of experience in machine learning, computer vision, or computer graphics
• Strong Python skills and experience with frameworks such as PyTorch or TensorFlow
• Experience with generative models (diffusion, GANs, VAEs) and modern architectures (Transformers, ViTs, etc.)
• Solid understanding of 3D graphics, computational geometry, or related areas
• Experience working in cross-functional teams and communicating technical concepts clearly

Nice to Have

• Experience with 3D reconstruction, tracking, or geometry analysis
• Familiarity with neural rendering techniques such as NeRF or Gaussian Splatting
• Experience scaling ML models and optimizing training pipelines
• Background in distributed training, data pipelines, and experiment tracking
• Publications or contributions to research or open-source projects

If you're interested in building next-generation generative AI systems at the intersection of media, gaming, and identity, this is a unique opportunity to help shape a rapidly emerging space.