Senior Machine Learning Engineer

Harnham Inc.
Daly City, United States of America
2 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior
Compensation
$ 300K

Job location

Remote
Daly City, United States of America

Tech stack

3D Computer Graphics Software
Artificial Intelligence
Architectural Patterns
Computer Vision
Computer Graphics
Distributed Computing Environment
Python
Machine Learning
Open Source Technology
TensorFlow
Computational Geometry
PyTorch
Delivery Pipeline
Generative AI
Gaussian
Information Technology
Variational Autoencoders
Machine Learning Operations
Stable Diffusion
Data Pipelines

Job description

  • 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

About the company

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.

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