Machine Learning Engineer, Labster
Developer of interactive virtual science laboratories
Be an early applicant
Developer of interactive virtual science laboratories
201-500 employees
Be an early applicant
201-500 employees
Company mission
To create a revolutionary, engaging, and accessible STEM learning experience that is globally scalable.
Role
Who you are
- If you’re passionate about education, AI, and making a real difference, we’d love to hear from you
- 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)
- Experience with Neural Networks and Text models is a plus
- 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
What the job involves
- 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
- 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
Application process
- Contact: Rebeca Navarro
Our take
Accessing laboratories and professional workspaces is essential for practical experience in areas such as science and nursing, but this is generally only possible at universities. This is due to a lack of funding and necessity for such equipment in schools and colleges, yet the practical nature of laboratories shows potential to help illustrate abstract scientific concepts to young students.
Labster develops virtual laboratories that allow students to conduct experiments and visualize abstract scientific concepts through digital equipment, providing a practical experience in order to improve their learning experience. The virtual environments are aligned with STEM curriculums, paid for by educational institutes, and can be accessed through any computer without requiring additional software.
Virtual reality shows great potential for providing virtual working environments for a range of educational applications, but these usually require expensive VR setups such as headsets, high-spec computers, and controllers. Labster on the other hand has taken a bare-bones approach by providing its environments within a web browser, helping to provide an augmented learning experience to all students equally. In 2023 after a significant 2022 VC round, Labster made the news for the donation of its product to Ukrainian students for a second year running.
Freddie
Company Specialist at Welcome to the Jungle
Insights
-31% employee growth in 12 months
Company
Funding (last 2 of 6 rounds)
Apr 2022
$47m
LATE VC
Feb 2021
$60m
SERIES C
Total funding: $150.7m
Company benefits
- Be a part of making science accessible and engaging to the world’s future scientists
- Embrace the autonomy of Holacracy, and work that fits into your lifestyle
- Fair and attractive salaries
- Work with flexibility
- Unlimited paid vacation (which we encourage you to actually take!)
- Learning budget & freedom to decide what you learn!
- Company-wide equity program
- Opportunities to travel and meet your colleagues from around the world! (Covid permitting)
Company values
- Focus on Impact - We are passionate about achieving results, making a significant difference, and making high quality education accessible to students and educators around the world
- Learn Continuously - We inspire students to acquire new skills every day, and we advance our own skills through personal and professional development
- Be Bold - We are not afraid to think big and promote significant change by maintaining a creative and innovative mindset
- Always Collaborate - Mutual respect, integrity and trust define our teamwork and we always strive to collaborate as effectively as possible, both internally and externally
- Have Fun - We enjoy every step of the journey and make sure it's filled with a daily dose of laughter and a deep passion for our work
Company HQ
Middelalderbyen, København
Articles
Leadership
Received a Ph.D. in Synthetic Biology and Bioinformatics from The Technical University of Denmark in 2015. Experience as Founder and Board Member of Mailbird.
Mads Tvillinggaard Bonde
(Executive Chairman)Received Ph.D. in Synthetic Biology and Bioinformatics in 2015 at the Technical University of Denmark. Honorary Associate Professor at the Department of Drug Design and Pharmacology (ILF) at the University of Copenhagen.
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