NOTICE: ONLINE RECRUITMENT PROCESS
LOCATION: REMOTELY FROM POLAND
SALARY:
Mid: 23 500 - 32 000 PLN gross/monthly
Senior: 26 000 - 35 000 PLN gross/monthly
ROLE OVERVIEW
At Brainly, we are on a mission to revolutionize learning through AI, helping millions of students worldwide gain confidence in their educational journey. As part of our AI-driven vision, we are committed to building cutting-edge solutions that enhance accuracy, reliability, and effectiveness of our AI-powered platform.
Benchmarking of AI Models (BEAM) Team plays a crucial role in ensuring high-quality performance of Brainly’s AI solutions. We are focused on designing and implementing robust evaluation pipelines and incremental improvements of AI solutions for real-world educational use cases. By developing comprehensive benchmarks, scalable evaluation pipelines, and iterative AI improvements, we ensure that Brainly’s AI components continually evolve to meet the highest standards of accuracy and effectiveness.
The Role
This is a highly technical individual contributor role within the Benchmarking of AI Models (BEAM) Team, working closely with Senior ML engineers, Data Scientists and AI Data Analysts to ensure seamless deployment and evaluation of AI models at scale. As a Machine Learning Engineer, you will be responsible for AI models deployment, creation and maintenance of scalable and reliable infrastructure and supporting the transition of research code into production-ready solutions. Your work will involve design reviews, best practice implementation, and rigorous code evaluation to ensure stability and efficiency of AI deployments.
Are you motivated to learn quickly and grow in the areas required to succeed in this job? Are you passionate about automating workflows? Do you take ownership of problems and challenges from beginning to end? Do you maintain a positive attitude and a willingness to tackle challenges and complex problems? Do you have a team-player mindset and strong communication skills? Are you highly self-organized? If you answered yes to these questions, you might just be the perfect candidate for this role!
The ideal candidate is a skilled ML Engineer with a passion for AI-driven innovation, cloud infrastructure, and scaling machine learning models to real-world applications.
WHAT YOU'LL DO
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.
WHAT IS REQUIRED
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.
WHAT IS PREFERRED
An academic degree in STEM (science, technology, engineering, mathematics) or a related field.
Hands-on experience with large-scale serving of ML models (millions of requests/day).
Hands-on experience with Kubernetes (deployment management, package manager e.g. Helm) and microservices.
Modern Python tools (e.g. ruff, uv, tox, pre-commit).
CI/CD (e.g. GitHub Actions, AWS CodePipeline).
IaaC frameworks (Terraform, CloudFormation, Pulumi).
Familiarity with basics in Data Engineering (e.g. SQL and NoSQL, data streaming, Apache Spark, Snowflake).
Modern model serving frameworks (torchserve, NVIDIA Triton).
Familiar with agile development and lean principles.
WHAT WILL BLOW OUR MINDS
Experience with Flyte.
Knowledge of Golang.
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
By sending us your application you agree that Brainly sp. z o.o. will process your personal data to participate in this recruitment process. If you want to know more about how Brainly processes your personal data please click here.
ABOUT BRAINLY
Brainly is the #1 AI education tool in the world, with a vision to give every student in the world access to personalized learning, no matter their background or resources.
Powered by its full-service AI Learning Companion™, Brainly is relied upon by more than 10 million students, parents and teachers every day for personalized, on-demand academic assistance. The platform provides world-class homework help, test prep and tutoring that is verified for accuracy and customized to each student based on their learning style.
Founded in 2009, Brainly operates in the US, Europe, Asia and Latin America, and is backed by Prosus, Point Nine Capital, General Catalyst, Runa Capital, Learn Capital and Kulczyk Investments.
Learn more at www.brainly.com.
If an employer mentions a salary or salary range on their job, we display it as an "Employer Estimate". If a job has no salary data, Rise displays an estimate if available.
If you're ready to make waves in the world of education technology, consider joining Brainly as a Machine Learning Engineer (LLMs)! At Brainly, our mission is to transform learning through innovative AI solutions, and we need passionate individuals like you to bring this vision to life. In this remote role, your primary focus will be on operationalizing machine learning models that guide millions of students across the globe. Imagine designing and implementing scalable infrastructure to support our AI-driven platform – how exciting is that? You'll collaborate with a talented team of Senior ML Engineers, Data Scientists, and AI Data Analysts as you tackle real-world educational challenges. Responsibility comes with the territory, as you'll be steering the deployment and maintenance of AI models, automating workflows, and ensuring our solutions remain at the cutting edge of technology. We value self-motivated learners who aren't afraid to embrace challenges; if you have experience with deep learning models and a solid grasp on Python, you're already ahead of the game! With additional perks like a personal development budget and health benefits, Brainly provides a supportive environment for growth. Come join us in shaping the future of learning and create impactful solutions that truly make a difference!
Brainly is the place to learn - for students, by students. We are the world’s largest social learning community bringing middle school and high school students, parents and teachers together to make learning outside the classroom highly engaging, ...
8 jobsSubscribe to Rise newsletter