Machine Learning Engineer

Posted 3 Days Ago
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Warsaw, Warszawa, Masovian, POL
In-Office
Mid level
Artificial Intelligence • Machine Learning • Software • Generative AI
The Role
Build and productionize Stable Diffusion, computer vision, and machine learning pipelines for photorealistic talking virtual humans. Responsibilities include dataset development, model training, research prototyping, ML service architecture, deployment, monitoring, optimization, and cloud or on-device inference. The role also evaluates emerging techniques and may involve DSP, NLP, C++, and CUDA.
Summary Generated by Built In

Gemelo.ai, formerly charactr, is building a generative AI platform for AI twins, letting creators and businesses amplify their voice and likeness through unlimited video and audio content creation and personalized conversation and interaction at scale.

We are seeking a highly skilled and motivated Machine Learning Engineer focused on Stable Diffusion and Computer Vision to join our Machine Learning team. We are building our own pipeline for generating photorealistic talking virtual humans with incredibly lifelike and natural synthetic voices and this role will be instrumental in bringing that pipeline and models into production. Experience with machine learning, video, and image diffusion is a requirement.

Role Responsibilities:

  • Scout, gather, and refine datasets apt for lip sync, photorealistic virtual human animation, and more

  • Build custom Stable Diffusion Models, Datasets, and Pipelines for photorealistic AI avatar generation

  • Dive deep into research, prototype development, and model training tailored for virtual human video generation.

  • Architect ML services and streamline pipelines for optimal performance.

  • Mastermind the ML lifecycle, from conception to deployment and monitoring.

  • Fortify and refine ML models, whether cloud-hosted or on-device.

  • Constantly scout for cutting-edge ML techniques, ensuring Gemelo.ai remains a visual tech vanguard.

Qualifications:

  • Minimum 4 years immersed in Machine Learning, deeply familiar with its tools and intricacies.

  • Mastery over Deep Learning architectures.

  • Fluent in Python, PyTorch, and Linux dynamics.

  • Solid experience with REST APIs and inference engines.

  • Adept with cloud services and the art of containerization, particularly Docker.

  • Strong proficiency in English, both written and spoken.

  • Analytical prowess and unmatched problem-solving agility.

  • BSc/MSc holder in Computer Science, Physics, Mathematics, or allied domains.

Stand Out with These:

  • Savvy with DSP algorithms and Natural Language Processing (NLP).

  • Experience in C++, coupled with CUDA proficiency.

Skills Required

  • At least 4 years of machine learning experience
  • Deep learning architecture expertise
  • Proficiency in Python
  • Proficiency in PyTorch
  • Proficiency with Linux
  • Experience with REST APIs and inference engines
  • Experience with cloud services and Docker containerization
  • Strong written and spoken English
  • Strong analytical and problem-solving skills
  • BSc or MSc in Computer Science, Physics, Mathematics, or a related field
  • Experience with DSP algorithms
  • Experience with Natural Language Processing
  • Experience with C++
  • Experience with CUDA
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The Company
9 Employees
Year Founded: 2020

What We Do

Gemelo AI develops AI twins and agents that help people and brands scale digital communication. Its technology creates personalized voice, visual, and video representations that can draft and publish LinkedIn content, participate in calls, run sales pitches, and support customer interactions. The company positions its platform as a way to maintain authentic, on-brand engagement across digital channels while reducing the time and cost of content creation.

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