Machine Learning Engineer

SpreeAI is an innovative technology company specializing in artificial intelligence solutions for e-commerce businesses. Their mission is to empower online retailers with advanced AI tools that enhance customer experience, optimize inventory management, and drive sales growth. By leveraging machine learning algorithms, SpreeAI provides personalized product recommendations and insights that help businesses make data-driven decisions. With a focus on user-friendly interfaces and seamless integration, SpreeAI aims to revolutionize the way e-commerce operates in the digital age.

We are hiring Machine Learning Engineers who want to work on frontier problems in vision and generative AI where standard solutions break. You will work across photorealistic virtual try-on, video-based modeling, Smart Sizing, and multimodal representation learning. The work spans modern architectures such as diffusion models, transformers, and learned visual representations, with emphasis on controllability, compute efficiency, and production readiness. This role sits at the intersection of applied research and engineering execution. Develop and improve multimodal AI systems involving image, video, and generative pipelines. Work on diffusion model optimization, controllability, and step efficiency. Design experiments and evaluation frameworks for visual realism and consistency. Translate research prototypes into scalable production systems. Collaborate closely with infrastructure teams to optimize training and inference.

The Machine Learning Engineer Intern will work on innovative projects in vision and generative AI, focusing on multimodal AI systems.

Machine Learning Engineer Intern (Computer Vision/Multimodal)

United States

We are hiring Machine Learning Engineers who want to work on frontier problems in vision and generative AI where standard solutions break. You will work across photorealistic virtual try-on, video-based modeling, Smart Sizing, and multimodal representation learning. The work spans modern architectures such as diffusion models, transformers, and learned visual representations, with emphasis on controllability, compute efficiency, and production readiness. This role sits at the intersection of applied research and engineering execution. Develop and improve multimodal AI systems involving image, video, and generative pipelines. Work on diffusion model optimization, controllability, and step efficiency. Design experiments and evaluation frameworks for visual realism and consistency. Translate research prototypes into scalable production systems. Collaborate closely with infrastructure teams to optimize training and inference.Requirements:<ul><li> Degree in Computer Science, AI, Robotics, or comparable combination of education and practical experience.</li><li> Strong programming skills in Python and familiarity with object-oriented languages (C++, Java, or similar).</li><li> Strong data structures and algorithms fundamentals.</li><li> Experience with PyTorch or similar frameworks.</li><li> Familiarity with CNNs, Vision Transformers (ViT), or diffusion architectures.</li><li> Experience with Stable Diffusion, ControlNet, LoRA, or generative pipelines.</li><li> Human pose estimation, geometry-aware modeling, or video understanding.</li><li> Experience shipping ML systems into production.</li></ul>Benefits:<ul><li> Real Impact & Ownership: Opportunity to shape a product and brand at the forefront of fashion-tech innovation.</li><li> Visionary Team & Exposure: Work side-by-side with a passionate founding team and collaborate with industry visionaries.</li><li> Creative Freedom & Innovation: Join a high-growth startup environment that celebrates bold ideas and moves at lightning speed.</li></ul>

SpreeAI

Machine Learning Engineer Intern (Computer Vision/Multimodal) The Machine Learning Engineer Intern will work on innovative projects in vision and generative AI, focusing on multimodal AI systems. We are hiring Machine Learning Engineers who want to work on frontier problems in vision and generative AI where standard solutions break. You will work across photorealistic virtual try-on, video-based modeling, Smart Sizing, and multimodal representation learning. The work spans modern architectures such as diffusion models, transformers, and learned visual representations, with emphasis on controllability, compute efficiency, and production readiness. This role sits at the intersection of applied research and engineering execution. Develop and improve multimodal AI systems involving image, video, and generative pipelines. Work on diffusion model optimization, controllability, and step efficiency. Design experiments and evaluation frameworks for visual realism and consistency. Translate research prototypes into scalable production systems. Collaborate closely with infrastructure teams to optimize training and inference. Machine Learning Engineer AI Engineer SpreeAI Artificial Intelligence E-commerce Technology Python C++ Java PyTorch CNNs Vision Transformers diffusion models San Francisco California

As a Machine Learning Engineer Intern, you will develop and improve AI systems involving image, video, and generative pipelines. This role combines applied research with engineering execution in a fast-paced startup environment.

GenieSoft est une Agence de Conseil et de Communication en Multimédia spécialisée dans la création et le développement des solutions on-line pour les entreprises et les personnes. Vous souhaitez un site internet sur mesure mais vous n'avez pas envie de l'administrer vous même. Notre offre 'Site sur mesure' est faite pour vous ! Véritable site internet, avec un menu de navigation, des pages de contenus, des images d'illustrations, un référencement naturel optimisé vers vos mots-clés pour les moteurs de recherches tels que Google

Genies is an AI avatar and games technology company focused on powering next-generation digital experiences through user-generated content and AI avatars. The company develops tools leveraging machine learning and computer graphics to create immersive avatar experiences, with notable clients and significant funding. The Machine Learning Engineer Intern will contribute to designing, developing, and deploying ML models that produce high-quality 3D assets, collaborating with engineering and creative teams to incorporate AI into creator tools and products. Responsibilities include integrating AI/ML solutions, optimizing models, managing ML infrastructure, and staying current with emerging AI technologies. The role emphasizes innovation in digital identity, representation, and social experiences, with a focus on 3D computer vision, graphics, and generative models. The internship offers a salary of $45/hour, health benefits, flexible PTO, and a vibrant work environment in Los Angeles.

Genies is seeking a Machine Learning Engineer Intern to develop high-quality 3D assets and integrate AI/ML solutions into their avatar creation ecosystem.

Genies is an AI avatar and games technology company focused on powering next-generation digital experiences through user-generated content and AI avatars. The company develops tools leveraging machine learning and computer graphics to create immersive avatar experiences, with notable clients and significant funding. The Machine Learning Engineer Intern will contribute to designing, developing, and deploying ML models that produce high-quality 3D assets, collaborating with engineering and creative teams to incorporate AI into creator tools and products. Responsibilities include integrating AI/ML solutions, optimizing models, managing ML infrastructure, and staying current with emerging AI technologies. The role emphasizes innovation in digital identity, representation, and social experiences, with a focus on 3D computer vision, graphics, and generative models. The internship offers a salary of $45/hour, health benefits, flexible PTO, and a vibrant work environment in Los Angeles.Requirements:<ul><li> Master’s degree or higher in Computer Science, Computer Graphics, or a related field with a strong emphasis on machine learning and artificial intelligence.</li><li> Minimum of 3 years of professional industry / research experience in machine learning, computer vision, or computer graphics.</li><li> Proficiency in Python programming and extensive experience with AI/DL Frameworks (e.g., PyTorch, TensorFlow).</li><li> Experience in multimodal training for 3D computer vision and graphics, such as generative models (diffusion, GANs, VAEs, flow-based), Transformers, Vision Transformers (ViT), and Diffusion Transformers (DiT).</li><li> Ability to communicate complex ideas to non-technical audiences.</li><li> Background in computer graphics, computational geometry, and 3D principles is a plus.</li></ul>Benefits:<ul><li> Comprehensive health insurance for you and your family (Anthem + Kaiser Options Available).</li><li> Dental and Vision Insurance.</li><li> Competitive salaries and 401K program for all full-time employees.</li><li> Flexible paid time off, sick time, and paid company holidays.</li><li> Paid parental leave, bereavement leave, and jury duty leave for full-time employees.</li><li> Health & wellness support through programs such as monthly wellness reimbursement.</li><li> Working in a bright, open environment with fun amenities like a slide.</li><li> Choice of MacBook or Windows laptop.</li></ul>

GenieSoft

Machine Learning Engineer Genies is seeking a Machine Learning Engineer Intern to develop high-quality 3D assets and integrate AI/ML solutions into their avatar creation ecosystem. Genies is an AI avatar and games technology company focused on powering next-generation digital experiences through user-generated content and AI avatars. The company develops tools leveraging machine learning and computer graphics to create immersive avatar experiences, with notable clients and significant funding. The Machine Learning Engineer Intern will contribute to designing, developing, and deploying ML models that produce high-quality 3D assets, collaborating with engineering and creative teams to incorporate AI into creator tools and products. Responsibilities include integrating AI/ML solutions, optimizing models, managing ML infrastructure, and staying current with emerging AI technologies. The role emphasizes innovation in digital identity, representation, and social experiences, with a focus on 3D computer vision, graphics, and generative models. The internship offers a salary of $45/hour, health benefits, flexible PTO, and a vibrant work environment in Los Angeles. Machine Learning Engineer Engineer GenieSoft internet application-mobile creation-site-web information-technology services solution-ecommerce Los Angeles

This internship involves designing, training, and deploying machine learning models for 3D avatar assets, collaborating with cross-functional teams, and staying updated on emerging AI technologies. The role offers hands-on experience in AI-driven content creation within a dynamic startup environment.

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