Senior ML Engineer, NLP & Computer Vision

NOTICE: ONLINE RECRUITMENT PROCESS

LOCATION: REMOTELY FROM POLAND

SALARY: 26 000 - 35 000 PLN gross/monthly

Every month we are proud to be home to 300 million users around the world. Brainly’s knowledge base consists of hundreds of millions of Q&A contents in more than 12 languages and covering a broad spectrum of educational subjects at different grades.

The AI Services department represents a major investment toward the vision of implementing an AI-powered Predictive Intervention platform. The platform will enable every student to receive tailored recommendations satisfying their current and future educational needs, and provide successful and specific learning paths.

In order to get there, we are building the fundamental pillars of our AI strategy by having dedicated teams owning different systems of our technology portfolio and in particular we are heavily investing in natural language processing technologies.

In the end you will join one of the following teams:

The Answer Platform ML - its vision is to build the necessary systems to provide accurate, high-quality, and tailored answers to all the questions our users face in their daily educational journey.
The QA Knowledge Base - is developing a system that automatically parses and extracts information from educational resources, enriches our Brainly Q&A knowledge base, and provides curriculum-tailored solutions for generating AI answers.
The AI Research - its goal is to conduct research, feasibility studies, and develop Proof of Concepts for new potential AI initiatives.

ROLE OVERVIEW 

As a Machine Learning Engineer you will work together with Data Scientists to turn machine learning artifacts into production systems, integrated with other product features or business processes. You will be a part of the team driving the data science capabilities of our answering platform and state-of-the-art NLP algorithms and LLMs using python, HuggingFace transformers, PyTorch, Sagemaker and other AWS cloud services. You will play the key role in the development, deployment and maintenance of all the models developed by the team. 

You will also work closely with other teams to integrate and facilitate the consumption of the deployed models. This role also involves project scoping, stakeholder management, and communication. 

The ideal candidate is an enthusiast of educational technologies with a product-oriented data science & machine learning background and a blend of leadership, deep learning, and model deployment skillset.

Are you able to explore data and draw conclusions?

Do you exceed at developing, owning, and maintaining production services, and exposing models to various consumers?

Can you ensure proper integration of exposed models into the overall organizational infrastructure?

If you answered yes to these questions, you might just be the perfect candidate for this role!

WHAT YOU'LL DO

• Develop and deploy machine learning models used for internal Answering Platform
• Implement  tools and frameworks that help Data Scientists work more efficiently, simplifying areas such as model training and evaluation, data annotation and processing
• Execute in-depth data analysis to bring actionable business insights
• Execute Data Science experiments coordinated by Data Scientists
• Process large data sets - both within prepared and well-organised data pipelines, as well as in quick and dirty mode - for the sake of quick experimentation

WHAT MAKES YOU THE PERFECT CANDIDATE

• 3+ years experience with Deep Learning models for NLP or text analytics in production, or a comparable industry career, with machine learning, data mining, or statistical modeling
• Practical experience with deployment of machine learning models as microservices (on top of a Kubernetes cluster e.g. Amazon EKS)
• Practical experience with modern Cloud Computing (preferably AWS) and services such as S3, EC2, Lambda, Redshift, Sagemaker or similar
• Experience working with deployment of ML models to production, monitoring live machine learning systems and managing models’ lifecycle (e.g. labeling, retraining)
• Strong background and experience with cloud computing (AWS or equivalent for other cloud providers): EC2, SageMaker, S3, EKS, ECR, Lambda, Batch, StepFunctions
• Experience with modern deployment of models, for example using torchserve, NVIDIA Triton or Seldon
• Hands-on experience with Kubernetes (Helm, Deployments, ReplicaSets)
• Hands-on experience with infrastructure as Code tools (Terraform, CloudFormation, Pulumi)

WHAT WILL BLOW OUR MINDS

• Deep knowledge and understanding of theoretical foundations of modern Machine Learning, specifically Deep Neural Networks, either NLP/LLMs or Computer vision
• Familiarity with basics in Data Engineering: SQL and NoSQL

WHAT YOU GET BY JOINING BRAINLY

• We want to see you grow along with us – you will have 800$ per year for personal development, extra time for attending conferences and workshops, and unlimited access to an online learning platform (courses from Coursera, Udacity, Udemy, Harvard ManageMentor, Busuu, and many others!)
• Health is important, which is why at Brainly, we fully cover private health & dental care packages for you and your family and provide you with a sport card (Multisport Plus 
• You will also get an access to online individual psychological consultations with professionals in English, Polish & Ukrainian via the Mental Health Helpline
• Your personal concierge AskHenry will support you in your daily duties, eg. planning your dream vacation
• You can join internal communities and contribute to charity, diversity and inclusion initiatives, take part in great internal events or represent Brainly at conferences or meet-ups
• We also provide stock options

WHAT IS BRAINLY

Brainly, the world's No. 1 app for homework help, is leading the AI revolution in education. The AI-powered technology, connected to Brainly’s Knowledge Base of over 250 million moderated answers, gives every student 24/7 access to personalized learning assistance, enabling them to receive verified and tailored answers to their homework and study questions. Hundreds of millions of students, parents, and educators rely on Brainly as the proven platform to accelerate understanding and learning.

Based in Kraków, Poland, with our teams located in in New York City and Barcelona among other cities, Brainly apps and websites are visited by users from over 35 countries. Brainly is backed by Prosus, Point Nine Capital, General Catalyst, Runa Capital, Learn Capital and Kulczyk Investments.

Learn more about Brainly at www.brainly.com

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