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Machine Learning Research Engineer

2 hours, 37 minutes ago
Europe, United Kingdom, Denmark
Full-time
Senior
AI Research Scientist
Software Development
CI/CD Computer Vision Deep Learning Feature Engineering LLM Machine Learning MLOps NLP NumPy Pandas Python PyTorch Scikit-learn TensorFlow Transformers
Apply Now
Miro

Miro

Miro is an online, visual collaboration platform designed to unlock creativity and accelerate innovation among teams of all kinds. The platform’s infinite canvas enables teams to lead engaging workshops and meetings, design products, brainstorm ideas, ...

Internet Software & Services
1K-5K
Founded 2011
$476M raised
View All Jobs 22

Description

  • Design, train, and ship production-grade machine learning models for core product features.
  • Conduct exploratory research on large datasets to identify patterns in user behavior and content creation.
  • Apply advanced fine-tuning methods such as PEFT and LoRA to adapt foundation models to domain-specific tasks.
  • Architect scalable ML pipelines for data processing, feature engineering, training, and evaluation.
  • Optimize model performance for latency, throughput, resource utilization, and production constraints.
  • Collaborate with data engineers, product managers, and software engineers to translate business needs into ML specifications.
  • Integrate ML models into user-facing applications and production systems.
  • Champion MLOps practices by automating deployment, implementing CI/CD, and monitoring model drift and health.
  • Evaluate new ML algorithms and techniques to inform technical strategy and innovation.

Requirements

  • Strong foundation in machine learning theory and statistics, including hypothesis testing, probability, regression, classification, and optimization.
  • Production-level Python programming skills and strong understanding of data structures, algorithms, and distributed system design.
  • Hands-on experience with the modern ML stack, including Pandas, NumPy, Scikit-learn, PyTorch, and TensorFlow.
  • Expertise in PyTorch or JAX, including distributed training with DDP or FSDP and debugging complex gradient issues.
  • Ability to read, implement, and improve upon recent academic papers from venues such as NeurIPS, ICML, and CVPR.
  • Track record of end-to-end ML delivery from EDA and feature engineering through training, validation, and production deployment.
  • Experience designing resilient large-scale systems that handle vast datasets and high-throughput inference requests.
  • Strong engineering mindset with emphasis on code quality, testing, modularity, and maintainability.
  • Bachelor's or Master's degree in Computer Science, Mathematics, Statistics, or a related field plus 3+ years of professional ML engineering experience, or no formal degree plus 6+ years of equivalent industry experience.

Benefits

  • Competitive equity package.
  • Health insurance for you and your family.
  • Corporate pension plan.
  • Lunch, snacks, and drinks provided in the office.
  • Wellbeing benefit and work-from-home equipment allowance.
  • Annual learning and development allowance.
  • Opportunity to work with a globally diverse team.

Interested in this position?

Apply directly on the company website

Apply Now

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