R

Machine Learning Engineer

reka • Croatia
Full Remote Visa Sponsorship
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AI Summary

Build and deploy production-ready machine learning systems for multimodal AI at a remote-first foundation model startup. Design, train, evaluate, and deploy end-to-end ML models and pipelines for image and video processing. Requires MS/PhD, 5+ years of Python experience, strong diffusion model knowledge, and PyTorch/TensorFlow expertise.

Key Highlights
Remote-first, globally distributed foundation model startup
Own the full ML lifecycle from experimentation to deployment
Focus on image and video processing models
Requires MS/PhD and 5+ years of Python experience
Visa support including H1B and OPT transfers for US employees
Key Responsibilities
Translate cutting-edge research into production-ready machine learning systems
Design, build, and deploy end-to-end ML models and pipelines
Develop and optimize models for image and video processing
Own the full ML lifecycle: experimentation, training/fine-tuning, evaluation, and deployment
Rapidly prototype using open-source models and adapt them for product needs
Conduct experiments, analyze results, and iterate to improve performance
Collaborate with researchers and cross-functional teams to deliver ML solutions at scale

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Technical Skills Required
Python PyTorch AWS
Benefits & Perks
5 weeks of paid leave
comprehensive healthcare benefits including vision and dental
visa assistance including H1B and OPT transfers

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Nice to Have
Experience in low level optimisation, cuda etc.
Experience productionizing and scaling ML models in real-world systems
Contributions to open-source projects
Experience with MLOps tools or distributed training systems
Familiarity with relational databases (Postgres/MySQL)
Experience handling large-scale data using tools like Spark

Job Description

Job Description

What You'll Do

  • Translate cutting-edge research into production-ready machine learning systems
  • Design, build, and deploy end-to-end ML models and pipelines
  • Develop and optimize models for image and video processing
  • Own the full ML lifecycle: experimentation, training/fine-tuning, evaluation, and deployment
  • Rapidly prototype using open-source models and adapt them for product needs
  • Conduct experiments, analyze results, and iterate to improve performance
  • Collaborate with researchers and cross-functional teams (product, engineering, design) to deliver ML solutions at scale
  • Participate with advancements in machine learning and apply them to continuously improve products
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Job Overview
Posted Nov 07, 2026
Employment Full-time
Experience Mid-Senior level
Location Croatia
Category Machine Learning
Company reka
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