Senior Machine Learning Engineer Job at Harnham in San Francisco

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.

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In Summary: 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 . If you're interested in building next-generation generative AI systems at the intersection of media, gaming, and identity .

En Español:

Título: Ingeniero de aprendizaje automático senior, ubicación en generación de medios: Compensación remota: Hasta $300,000 + Equity Estamos asociados con una startup bien financiada a la vanguardia de la generación mediática e identidad digital, construyendo las infraestructuras para la próxima Generación de experiencias interactivas impulsadas por IA. Su plataforma permite a los desarrolladores y creadores generar personajes totalmente personalizables, activos digitales y compañeros de AI, posicionándolos en el cruce de inteligencia artificial genética, juegos y plataformas sociales. Trabajarás en modelos que impulsen la creación de personajes, la moda digital y las experiencias interactivas, ayudando a definir cómo los usuarios crean y se expresan en entornos digitales. Lo que harás Diseñar, capacitar e implementar modelos ML para la generación de imágenes, videos y activos 3D de alta calidad Trabajando con visión computarizada y gráficos para generar redes, texturas y movimientos Construir y optimizar modelos genéricos como difusión, GANs y arquitecturas basadas en transformadores Integra sistemas ML en herramientas y aplicaciones creativas dirigidas al usuario Colaborar con productos, ingeniería y equipos para enviar características impulsadas por IA Administrar infraestructura incluyendo conjuntos de datos, experimentos y tuberías de despliegue Mantenerse actualizado con la investigación emergente y aplicar nuevas técnicas a los sistemas de producción Requisitos Máster o más alto grado en generación automática, Visión informática, conocimiento del ordenador y el aprendizaje Con una experiencia avanzada en proyectos técnicos relacionados con la construcción de maquinaria, análisis de piezas inteligencia artificial (Python), desarrollo de nuevos métodos de diseño, etc.