We're looking for an ML Generalist to productionize cutting-edge models used by millions of creators. The role involves owning end-to-end work on large-scale ML systems and working closely with research to design tooling that accelerates iteration and prototyping. Strong background in ML for VLM, LLM or Computer Vision is required.
Key Highlights
Key Responsibilities
Technical Skills Required
Benefits & Perks
Nice to Have
Job Description
Machine Learning Generalist - World Models
ML / Research Engineering
Location: Global Remote
Our client is building the next generation of creative tools powered by state-of-the-art AI. We’re looking for an ML Generalist to sit at the intersection of research and engineering and help productionize cutting-edge models used by millions of creators.
What you’ll do
- Own end-to-end work on large-scale ML systems: from experimentation to production
- Productionize research models (VLM/LLM/CV) into reliable, high-performance products
- Lead large-scale model training, including data pipelines, evaluation, and deployment
- Work closely with research to design tooling that accelerates iteration and prototyping
- Improve datasets, infrastructure, and workflows to push the limits of model performance
Interested in remote work opportunities in Machine Learning & AI? Discover Machine Learning & AI Remote Jobs featuring exclusive positions from top companies that offer flexible work arrangements.
What we’re looking for
- Startup experience is a must – you’ve shipped real systems in fast-moving environments
- Strong background in ML for VLM, LLM or Computer Vision (one or more)
- Hands-on experience with large-scale training (billions of parameters and/or internet-scale data)
- Solid engineering skills (Python, modern ML stack, infra/tooling for training & inference)
- Comfort operating in a hybrid research engineering role with high ownership and ambiguity
Browse our curated collection of remote jobs across all categories and industries, featuring positions from top companies worldwide.
Nice to have
- Experience building internal tools for researchers (evaluation, experiment management, data tooling)
- Prior work on multimodal models or creative/media-focused ML applications
If you’re excited about shipping real products, working closely with world-class researchers, and owning impactful ML systems end-to-end, we’d love to connect.
Similar Jobs
Explore other opportunities that match your interests
Mindrift
Senior Manager, Machine Learning & AI
Zapier
