Machine Learning Specialist

⚠️ Important — please read before applying: Candidates must not use any AI interview tools, AI assistants, or interview coaches during interviews. Anyone found using them will be flagged and removed from consideration.

Role Description The Machine Learning Specialist is a full-time remote role responsible for designing, developing, and deploying machine learning and deep learning models that support intelligent business systems. Day-to-day tasks include analyzing data, selecting and implementing algorithms, building scalable ML pipelines, and evaluating model performance against business objectives. The individual will collaborate with cross-functional teams to translate business needs into technical solutions, optimize existing models, and contribute to the ongoing improvement of AI-driven products and platforms. The role also involves documenting methodologies, maintaining reproducible workflows, and staying current with advancements in machine learning, statistics, and automation technologies.

We're looking for a Machine Learning Engineer who has actually trained or fine-tuned video diffusion models or LoRAs — and can back it up with specifics: GPU count, dataset size, training setup. Not just ComfyUI workflows.

What you'll work on:

• Real-time video generation for live AI avatars

• Real-time techniques — Diffusion Forcing, Self Forcing, CausVid, model distillation

• Audio-driven talking-head pipelines — lip sync and face pipelines

• Solving live avatar sync challenges for real-time interactive avatars

What we're looking for:

• Minimum 5–7 years of experience in machine learning

• Hands-on experience training or fine-tuning video diffusion models / LoRAs

• Experience with real-time inference and model distillation

• Experience with talking-head and lip-sync pipelines

• Strong Python and PyTorch skills

• Programming experience in Go (Golang) and Rust

If that's you, apply here on LinkedIn

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