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- Tasks: Develop and optimise AI models for visual content generation using cutting-edge technologies.
- Company: Join Oh, a pioneering company revolutionising the spicy content industry with innovative AI solutions.
- Benefits: Enjoy remote work, competitive salary, and the chance to shape AI strategy in a fast-paced environment.
- Why this job: Be part of a dynamic team creating next-gen AI interactions and experiment with state-of-the-art models.
- Qualifications: 3+ years in machine learning, expertise in Stable Diffusion, and proficiency in Python and GPU optimisation.
- Other info: Manage large multimedia datasets, including NSFW/adult content, in a unique and exciting role.
The predicted salary is between 43200 - 72000 £ per year.
About Oh
Oh is on a mission to become the OpenAI of the spicy content industry, building a full-spectrum ecosystem of revolutionary AI infrastructure and products. Our platform, OhChat, features digital twins of real-world personalities and original AI characters, enabling users to interact with lifelike AI-generated characters through text, voice, and images, with a roadmap that includes agentic superModels, API integrations, and video capabilities.
We’re looking for a Machine Learning Engineer with deep expertise to own, optimise, and scale our AI models, ensuring cutting-edge performance and user engagement.
The Role
We are seeking a Machine Learning Engineer with a focus on back-end Python engineering visual asset generation to join our team. The ideal candidate will have hands-on experience in working with deep learning models for image and video generation, leveraging technologies such as SDXL, Flux, and WAN 2.1. You should be familiar with popular machine learning frameworks like PyTorch, Diffusers, Transformers, and Docker. As a member of our team, you will work closely with researchers, engineers, and creatives to develop and deploy solutions that generate high-quality visual content, as well as playing a key part in building the back-end of our platform.
What You’ll Do
- Model Development & Optimisation: Fine-tune and optimise open-source and proprietary generative models (e.g., Flux, Wan 2.1).
- Inference Optimisation & Scaling: Deploy and optimise models optimised for low latency and cost-effective inference on GPU-based infrastructure.
- Custom Model Training: Train models with domain-specific datasets, improve response quality, reduce hallucinations, and enhance alignment with user intent.
- Back-end engineering: Write clean, scalable Python code to expand and improve our back-end.
- Security & Compliance: Ensure AI models meet GDPR and ethical AI guidelines for content generation.
*Important note: As a part of this role you will be responsible for managing and maintaining large multimedia datasets of NSFW/adult content.
What We’re Looking For
- 3+ years of experience in machine learning engineering with a focus on GenAI.
- Strong expertise in Stable Diffusion, Flux, and similar architectures.
- Experience fine-tuning and optimising visual models.
- Hands-on experience with PyTorch, JAX, or TensorFlow.
- Proficiency in GPU inference optimisation (CUDA, BitsAndBytes, PEFT).
- Experience deploying ML models using Kubernetes and/or Docker.
- Strong experience with Python and software engineering best practices.
- Experience integrating visual models into real-world applications with performance constraints.
Bonus if you have:
- Experience working in multimodal AI (text, voice, image, or video models).
- Experience working as a full-stack engineer (especially back-end and DevOps-focused).
- Background in AI-driven gaming, adult content, or interactive digital experiences.
- Interest in crypto, Web3, or NFT-based AI models.
Why Join Us?
- Remote-first.
- Competitive salary.
- Work on cutting-edge models powering next-gen AI interactions.
- Ownership & autonomy in shaping our AI strategy.
- Hands-on role in a company that ships fast and iterates rapidly.
- Experiment with state-of-the-art AI models & inference techniques.
This is a unique opportunity to lead the AI development of one of the most exciting AI companies in the companionship space. If you’re passionate about building, optimising, and scaling AI-driven characters, we’d love to hear from you.
Machine Learning Engineer (Visual Specialist) employer: OhChat
Contact Detail:
OhChat Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Machine Learning Engineer (Visual Specialist)
✨Tip Number 1
Familiarise yourself with the specific technologies mentioned in the job description, such as SDXL, Flux, and WAN 2.1. Having hands-on experience or projects that showcase your skills with these tools will make you stand out.
✨Tip Number 2
Engage with the community around machine learning frameworks like PyTorch and Docker. Participating in forums, contributing to open-source projects, or sharing your insights on platforms like GitHub can demonstrate your expertise and passion for the field.
✨Tip Number 3
Showcase any relevant experience you have with multimodal AI applications. If you've worked on projects that integrate text, voice, image, or video models, be prepared to discuss these in detail during interviews.
✨Tip Number 4
Research Oh's mission and products thoroughly. Understanding their vision for AI in the spicy content industry will help you align your answers with their goals and demonstrate your genuine interest in the role.
We think you need these skills to ace Machine Learning Engineer (Visual Specialist)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with machine learning, particularly in visual asset generation. Emphasise your expertise in technologies like Stable Diffusion, Flux, and any relevant frameworks such as PyTorch or TensorFlow.
Craft a Strong Cover Letter: In your cover letter, express your passion for AI and how your skills align with Oh's mission. Mention specific projects where you've optimised models or worked with GPU inference, showcasing your hands-on experience.
Showcase Relevant Projects: Include links to your portfolio or GitHub repository that demonstrate your work with generative models, especially those related to image and video generation. Highlight any projects that involved compliance with ethical AI guidelines.
Prepare for Technical Questions: Be ready to discuss your technical skills in detail. Prepare examples of how you've fine-tuned models, optimised inference, and integrated visual models into applications. This will show your depth of knowledge and practical experience.
How to prepare for a job interview at OhChat
✨Showcase Your Technical Skills
Be prepared to discuss your experience with machine learning frameworks like PyTorch and TensorFlow. Bring examples of projects where you've fine-tuned models or optimised inference, especially in visual asset generation.
✨Understand the Company’s Vision
Familiarise yourself with Oh's mission to revolutionise the spicy content industry. Be ready to explain how your skills can contribute to their goal of creating lifelike AI characters and enhancing user engagement.
✨Prepare for Practical Assessments
Expect to face practical tests or coding challenges during the interview. Brush up on writing clean, scalable Python code and be ready to demonstrate your problem-solving skills in real-time.
✨Discuss Ethical AI Practices
Given the nature of the content, it's crucial to understand GDPR and ethical AI guidelines. Be prepared to discuss how you would ensure compliance while developing AI models for NSFW content.
