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 Large Language Models (LLMs) to develop LLM-based solutions for personalized adaptive learning experiences. Leverage educational data sources, including academic research, student feedback, and interactive learning metrics.
Machine learning development: Build and help set direction across the entire machine learning development process to implement machine learning systems in production, including exploratory data analysis, data modeling, feature engineering, model training and fine-tuning, evaluation, deployment, and monitoring.
Work closely with Educational Experts and Developers: Join a top team of educators, software engineers, and other professionals to develop a platform that supports personalized adaptive learning and immersive educational experiences.
Collaborate with the Data Team: Work alongside a team of Data Analysts and Engineers who will collaborate with in-depth analysis and help you integrate your work within the existing code base and internal tooling.
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.
Competencies & Skills
Advanced degree in Machine Learning, Computer Science/Engineering, Applied Mathematics, or a related field is preferred but not required. Experience can replace educational requirements.
Proven experience in AI/Machine learning, particularly in prompting and/or fine-tuning Large Language Models.
Familiarity with vector databases and embedding models.
- Experience deploying and integrating Machine Learning systems in a software development lifecycle (SaaS and/or Open Source).
Familiarity with educational technologies and immersive learning environments is a plus.
Excellent analytical, problem-solving, and collaborative skills.
Strong communication abilities. Be able to communicate complex concepts to non-technical audiences.
Be able to self-learn and coach team members.
Why Labster.
At Labster and UbiSim, we are driven by a bold vision: to empower the world with knowledge. Our mission is to captivate learners and dismantle barriers through immersive technology that improves lives. As a leader in immersive learning, Labster redefines STEM education by providing tools that break down societal and economic barriers, enabling students to flourish in their careers and communities. UbiSim is shaping the future of nursing education, equipping the next generation of patient-centric nurses with immersive VR experiences. Our work is urgent and impactful—addressing global shortages in healthcare and STEM fields while engaging students more deeply and democratizing access to high-quality learning. If you’re passionate about making a tangible difference in the world through education and healthcare innovation, this role will amplify your impact.
What’s in it for you?
Competitive compensation and comprehensive benefits package.
Generous parental leave policy, including a phased return to work program to support your transition.
Work with flexibility in a remote-first organization that values work-life balance.
Flexible vacation policy so you can recharge when you need it.
Opportunities to travel and connect with colleagues from around the world.
Access to free 1:1 therapy sessions and mental health support through a membership with iFeel.
The chance to get involved with our Values in Action and LGBTQIA+ Employee Resource Groups, promoting a diverse and inclusive workplace.
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.
