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Brainly

👥 251-500💰 $80,000,000 Series D about 4 years ago🫂 Last layoff over 2 years agoEducationEdTechCommunitiesE-LearningAppsSocial NetworkPeer to PeerSoftware💼 Private Company
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Brainly is a global online learning platform where students and parents connect to receive homework and study assistance from peers and experts. Our AI-powered platform serves millions of students worldwide, making us the #1 AI education tool. We're committed to developing innovative, AI-driven solutions to provide personalized and effective learning experiences. Our technology stack includes WordPress, Amazon Web Services (AWS), and a variety of machine learning frameworks like TensorFlow and PyTorch. We're passionate about building robust evaluation pipelines and continuously improving our AI models. We foster a collaborative environment where engineers work closely with data scientists to translate research into production-ready solutions. We value a culture of DevOps and high-quality software standards, encouraging both individual growth and team success. As a global company operating in 35 countries, Brainly embraces a remote-first culture, with a substantial engineering presence in Poland. We are backed by major investors, including Prosus, General Catalyst, and Learn Capital. We provide our employees with an exceptional benefits package that includes personal development funds, health and dental care, and online psychological consultations. Join our team and contribute to our mission of democratizing education! We're experiencing rapid growth and are constantly seeking talented engineers to join our mission. We are looking for skilled machine learning engineers, especially those with experience deploying and maintaining Large Language Models (LLMs) to join our Benchmarking of AI Models (BEAM) Team. The position is remotely from Poland, making this a great opportunity for those seeking a flexible work environment.

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Jobs at this company:

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🔥 Machine Learning Engineer (LLMs)
Posted about 8 hours ago

📍 Poland

🧭 Full-Time

💸 23500.0 - 35000.0 PLN per month

🔍 Education Technology

  • 3+ years experience with deployment and maintenance of Machine Learning models in production
  • Experience in deploying and maintaining Deep Learning models, particularly Large Language Models (LLMs)
  • Strong command of writing production-level code in Python, with a focus on best engineering practices, in particular for training & deploying models.
  • PyData stack along with quick frontend frameworks e.g. streamlit.
  • Proven expertise in Cloud Computing (preferably AWS and services like IAM, EC2, S3, ECR, EKS, Redshift, Athena, Glue, Lambda, SecretManager) for storage, data pipelines, ML pipelines, and ML deployment.
  • Machine Learning frameworks such as: Tensorflow, PyTorch, JAX, scikit-learn, Transformers (HuggingFace).
  • Proven track record of development of data and machine learning pipelines.
  • Knowledge of Linux/Unix system, shell scripting.
  • Parallel computing (multi-processing, async, GPUs, types of AI parallelism).
  • Culture of DevOps and high-quality software standards.
  • Fluency in English.
  • Operationalization of Machine Learning Models
  • Orchestration of the entire ML model lifecycle, from development and deployment to monitoring, maintenance, and optimization ensuring scalability, efficiency, and reliability.
  • Implementation of automated workflows for model retraining, versioning, and performance tracking to ensure long-term stability.
  • Transformation of Machine Learning artifacts into production systems and services maintaining robust integration with existing engineering infrastructure.
  • Tooling, Infrastructure & Experimentation Support
  • Design and implementation of tools, frameworks, and infrastructure to enhance efficiency of Data Scientists and other stakeholders simplifying areas such as model training and evaluation, data annotation, and processing.
  • Working with large-scale datasets in structured and ad-hoc exploratory setups to support both creation of well-organized data pipelines and rapid experimentation and prototyping.
  • Supporting Technical Lead and Data Scientists in refactoring and optimizing research code, ensuring high-quality, reusability, and scalability of delivered solutions bridging the gap between AI experimentation and real-world deployment.
  • Continuous Learning
  • Staying up to date with cutting-edge advancements in AI technology, including state-of-the-art models, algorithms, tools, and frameworks (both models/algorithms and tools/libraries/SaaS/APIs, etc.).
  • Exploring opportunities to incorporate new methodologies, libraries, and services that enhance Brainly’s AI capabilities.

AWSPythonSQLBashCloud ComputingKubernetesMachine LearningPyTorchData scienceREST APITensorflowCI/CDLinuxDevOpsMicroservices

Posted about 8 hours ago
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