AI Engineer - Expression of Interest

Contract

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Dallas, TX

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Groove Jones

Expression of Interest: AI Engineer

Important Note

Please note, this is not an active job opening. This posting is an opportunity to submit a resume for future consideration. If a role becomes available that matches the candidate's skills and experience, Groove Jones will reach out. In the meantime, applicants are encouraged to regularly check the Groove Jones LinkedIn Jobs page for new opportunities that fit their qualifications.

Are you passionate about generative AI, intelligent tools, and immersive technology? Groove Jones is always on the lookout for AI Engineers and Machine Learning Specialists to join its team of innovators and technologists.

About Groove Jones

Groove Jones is an award winning creatively led technology studio creating groundbreaking immersive experiences that blend creativity and cutting-edge technology. From AR/VR to AI-driven interactive applications, Groove Jones delivers unforgettable solutions for clients across industries. The studio's work spans generative VFX, computer vision, large language models, AI audio, and intelligent tools that enhance both production workflows and end-user experiences.

We Want to Hear from You

Are you an AI Engineer, ML Specialist, or applied researcher interested in Groove Jones but do not see a current open role that fits your background? Groove Jones would love to hear from you.

Applicants may submit a resume here. If something comes up in the future that may be a strong match, Groove Jones will be happy to reach out.

Who We’re Looking For

Groove Jones is always looking to connect with talented AI professionals, including:

  • AI Engineers & Machine Learning Specialists:

    Practitioners building and deploying models across vision, language, audio, and multimodal domains.

  • Generative AI / GenVFX Developers:

    Experts in image, video, and 3D generation using diffusion and transformer-based models, Gaussian splatting/NeRF, and tools like ComfyUI.

  • Computer Vision Engineers:

    Specialists in detection, tracking, segmentation, scene understanding, and spatial AI using frameworks such as TensorFlow, PyTorch, and OpenCV.

  • LLM Engineers:

    Developers experienced in training, fine-tuning, evaluating, and integrating large language models into production assistants, agents, and workflow automation tools.

  • AI-Assisted / AI-Driven Development Engineers:

    Builders who integrate AI into the software lifecycle through code generation, testing automation, asset creation, data labeling, and pipeline orchestration.

  • AI Audio & Voice Engineers:

    Professionals working with AI audio tools such as ElevenLabs, speech synthesis, voice cloning, speech-to-text systems, and generative or interactive audio pipelines.

  • Multimodal and XR-Focused AI Specialists:

    Engineers who connect AI pipelines into real-time engines, web experiences, spatial computing, AR/VR/XR applications, and interactive installations.

  • Applied AI Innovators:

    Specialists in creative production, immersive technology, and intelligent tooling who see new ways to combine models, data, and storytelling.

Typical Technologies & Skills We Value

Candidates do not need every one of these skills, but experience in several of the following areas is helpful to highlight:

  • Languages and core tools:

    Python, Git, Linux, modern ML tooling.

  • ML and GenAI frameworks:

    PyTorch, TensorFlow, Hugging Face Transformers, Diffusers, TensorFlow Object Detection API, OpenCV.

  • Generative models and pipelines:

    Stable Diffusion and related diffusion models, text-to-image/video/3D workflows, Gaussian splatting, NeRF, photogrammetry, point cloud rendering, ComfyUI, and similar node-based systems.

  • LLMs and NLP:

    Training and fine-tuning LLMs, prompt engineering, retrieval-augmented generation, evaluation, safety, and production integration.

  • Computer vision:

    Object detection, tracking, segmentation, pose estimation, face tracking, scene understanding, and spatial mapping for AR/VR.

  • AI audio:

    ElevenLabs, text-to-speech, speech-to-text, voice cloning, audio classification, and generative or interactive audio systems.

  • Platforms and integration:

    Unity, WebGL, Three.js, REST APIs, microservices, Docker, CI/CD, AWS, and equivalent cloud environments.

How to Express Interest

If you’re excited about the possibility of joining Groove Jones in the future as an AI Engineer or ML Specialist:

  1. Submit a resume and a brief cover letter.

  2. Share why Groove Jones is of interest and which AI areas best match your background, such as GenAI, GenVFX, LLMs, computer vision, AI audio, or AI-assisted development.

  3. Highlight the most relevant skills, frameworks, and production projects, including links to demos, repositories, or case studies where possible.

  4. Include a portfolio, GitHub, research publications, or examples of work when applicable.

Don’t miss this chance to be on Groove Jones’ radar for future AI opportunities. Express interest today and potentially help shape the future of AI-powered immersive experiences.