Machine Learning Engineer

As a Machine Learning Engineer at Labster, you will be instrumental in leveraging Machine Learning models (with a focus on LLMs) to enhance personalized adaptive AI tutoring in immersive learning experiences. Our next Machine Learning Engineer will play a pivotal role in designing, deploying, and integrating models that tailor the educational content effectively, thereby contributing significantly to Labster's mission to empower 100 million students globally with personal AI tutors that dramatically advance equal access to high-quality immersive science and healthcare education.

At Labster, you’ll contribute to a meaningful vision of making high-quality science education accessible to millions around the globe. If you’re passionate about education, AI, and making a real difference, we’d love to hear from you.

Responsibilities

• Design LLM-based Personal Adaptive Education: Benchmark, compare, and utilize existing open-source Large Language Models (LLMs) to develop LLM solutions for personalized adaptive learning experiences. Leverage educational data sources, including academic research, student feedback, and interactive learning metrics.

• Machine learning development of AI tutoring: Build and help set direction across the entire machine learning development process to implement machine learning algorithms in production, including exploratory data analysis, data modeling, feature engineering, model training and tuning, testing, deployment, and monitoring, to enable LLM-based personalized adaptive AI tutoring.

• Work closely with the Data Team: Join a top team of Data Analysts and Engineers who will collaborate with in-depth analysis and help you integrate your work within the existing data platform and pipelines.

• Collaborate with Educational Experts and Developers: Work alongside educators, software engineers, and other data professionals to develop a platform that supports personalized adaptive learning and immersive educational experiences.

• Data-Driven Product Improvements: Work with Data Analysts on analyzing relevant educational and internal data sets and provide insights. This includes analyzing learning patterns, student performance metrics, and content effectiveness to ultimately enhance our educational solutions.

• Stay Abreast of Generative AI Developments: Maintain awareness of the latest Machine Learning developments, including generative models and natural language processing, and integrate these where appropriate to enhance learning experiences.

Qualifications

• Advanced degree in Machine Learning, Computer Science/Engineering, Applied Mathematics or a related field preferred but not required. Experience can replace the educational requirements.

• Proven experience in AI/Machine learning, particularly in using and training Large Language Models.

• Experience in deploying and integrating Machine Learning Algorithms in a software development lifecycle (SaaS and/or Open Source).

  • Experience with Neural Networks, Text models, LLM models a plus.

• Familiarity with educational technologies and immersive learning environments is a plus.

• Excellent analytical, problem-solving, and collaborative skills.

• Strong communication abilities.

Why Labster.

We are Labster. Creators of virtual science lab software that makes learning engaging, effective and accessible to as many students as possible. We exist to empower the next generation of scientists to change the world.

In the same way our technology empowers students, we thrive on an autonomous and innovative culture, ensuring that your work fits into your lifestyle.

We encourage individual expression, boldly challenge how it’s always been done, and foster learning, creativity, and growth. How you work is in your control, balanced by the comfort of access to like-minded, inspiring people, when you need it.

What’s in it for you? 

• The opportunity to be part of a leading company in an exciting field combining AI with immersive learning.

• A chance to make a significant impact on modern educational practices and student learning experiences.

• A collaborative, innovative, and international working environment.

• Professional growth opportunities in a rapidly evolving tech landscape.

• Remote work flexibility, allowing you to work from anywhere in the world.

• Generous parental leave policy with a phased return to work program

• Unlimited paid vacation (which we encourage you to actually take!)

• Access to free 1:1 therapy sessions and other mental health and wellbeing support tools through a membership with iFeel

• Opportunity to get involved with our Women In STEM and LGBTQIA+ Employee Resource Groups!

Our commitment to you.

Labster is committed to select the best available candidate for every open position, regardless of sex, sexual orientation, race, color, religion, marital status, ethnic origin, age, disability or geographical location. At the same time, we aim to provide all team members with the opportunity to develop long- term careers appropriate to their abilities and ambitions. Labster is also committed to ensuring that recruitment procedures are fair, objective, impartial, transparent, and are applied consistently.