Senior Machine Learning Engineer (LLMs)

NOTICE: ONLINE RECRUITMENT PROCESS

LOCATION: REMOTELY FROM POLAND

SALARY: 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 and Evaluation 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

• 5+ 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 CAN EXPECT FROM US

• A chance to achieve our vision of giving every student in the world access to personalized learning.

• Competitive compensation (you can see our pay brackets in every job posting) and great benefits packages that include your own professional development budget, comprehensive health insurance and more.

• Stock options for all employees - we truly believe that Brainly’s success is your success and your success is Brainly’s success.

• Varied learning opportunities and the chance to grow your career in a global, mission-driven environment.

• A collaborative culture and colleagues you will love working with.

• Work remotely from home in Poland, Spain or the US or from our co-working spaces in those countries. You can also work from anywhere else in the world for up to 90 days per year.

WHAT WE EXPECT FROM YOU

We’re looking for team members who thrive in a dynamic environment - people who embrace change, think creatively and aren’t afraid to take initiative outside their job description. If you’re energized by ownership and fast decision cycles, cross-functional problem-solving and finding clarity in ambiguity, you’ll feel right at home. Here’s what we expect from our team members. 

• Adaptability, with a flexible, solution-oriented approach and an eagerness to contribute wherever needed; you’re not bound by strict role definitions.

• Hard work, driven by our passion for Brainly’s mission of equitable access to education for all students.

• An AI-first approach to innovation and problem-solving.

• Comfortable working in a fast-paced environment where we get things done in a nimble, scrappy way.

• Drive and focus on delivering meaningful results.

• A team-first mindset that thrives on sharing knowledge and ideas.

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 millions of 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.