Senior Machine Learning Engineer

Harnham; San Francisco (CA); Remote; USD 270,000 - 330,000; Full time

Benefits offered by this job

Equity

Remote-friendly

Job summary

Harnham seeks a Senior Machine Learning Engineer for media generation in a fully remote role. The candidate will design, train, and deploy ML models for high-quality image, video, and 3D asset generation, spanning computer vision and graphics.

You will build and optimize diffusion/GAN/transformer-based models, integrate them into creative tools, and collaborate with product and engineering teams to deliver AI-powered features. Strong Python, PyTorch, and TensorFlow expertise are required.

Qualifications

• Master’s degree or higher in Computer Science, ML, 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.

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

ML research

Computer vision

Education

Master’s degree or higher in CS/ML/CV

Tools

PyTorch

TensorFlow

NeRF

3D graphics pipelines

Job description

Title: Senior Machine Learning Engineer, Media Generation

Location: Remote

Compensation: Up to $300,000 + 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.