Are you a mathematician excited about applying your analytical skills to solve real-world problems with AI?
Join Camplight and help build AI-powered systems that transform how critical industries make decisions and optimize complex processes.
What you’ll be working on?
We are partnering with an innovative AI company building intelligent systems for pharmaceutical manufacturing and life sciences organizations.
Their platform combines operational data, AI models, and AI agents to help scientists and engineers investigate manufacturing processes, identify optimization opportunities, improve decision-making, and generate actionable insights.
As part of the team, you will contribute to the mathematical and analytical foundations behind AI-driven products, working on problems involving data analysis, modeling, optimization, and machine learning.
Your Role
You will work closely with AI engineers, software developers, and domain experts to develop and improve models that power intelligent applications.
Your responsibilities may include:
- Developing and validating mathematical and statistical models
- Applying mathematical techniques to AI and machine learning problems
- Analyzing complex datasets and identifying actionable insights
- Evaluating model performance and supporting experimentation
- Contributing to forecasting, optimization, and decision-support systems
- Collaborating with engineers to bring models into production
- Exploring and evaluating new AI techniques
About Camplight
We build self-organizing technical teams, offer software development services, and work with businesses and entrepreneurs to create new products.
With over 300 successful software projects, some ongoing for over 8 years, we strive for long-term success for our partners.
By following the principles of self-management and organizing as a cooperative, we achieve 95% satisfaction among them.
We seek the best talent to join us and value transparency, collaboration, trust, responsibility, and innovation.
When joining Camplight, you can become a co-owner of the cooperative, allowing you to steer the business and share in the rewards of our collective success.
What are we looking for?
- Ownership mindset: You take responsibility for your work and care about delivering quality results.
- Strong analytical thinking: You enjoy solving complex problems using mathematical reasoning and data.
- Interest in AI: You are curious about AI technologies and eager to apply them to real-world challenges.
- Communication skills: You can clearly communicate ideas and collaborate effectively with technical and non-technical stakeholders.
Requirements
- Degree in Mathematics, Applied Mathematics, Statistics, Physics, or a related quantitative field
- Strong foundation in probability, statistics, linear algebra, and optimization
- Interest in AI and Machine Learning
- Experience with Python for data analysis and modeling
- Experience building or evaluating AI/ML models
- Experience with LLMs or Generative AI
- Experience with scientific computing or machine learning libraries
- Background in manufacturing, life sciences, or industrial analytics
What do we offer?
We focus on health, wealth, and empowering relationships:
- Fully remote work with flexible work hours
- Competitive contractor compensation
- Opportunity to become a co-owner of the cooperative
- Individual career development plan
- Friendly team and company culture
- Exposure to cutting-edge AI applications solving real-world problems
- Prioritization of mental and physical health in the workplace
- A collaborative environment focused on growth, ownership, and continuous learning
What does the interview process look like?
- Initial Interview: A 45-minute cultural and technical interview focused on your background, problem-solving approach, and interest in AI.
- You can choose between two Technical Deep Dive options:
- Mathematical Case Study: A short take-home exercise followed by a discussion of your solution.
- Live Problem-Solving Session: A collaborative technical session focused on mathematical reasoning and data analysis.
Join us at Techlight to connect with like-minded builders and grow alongside a trusted network of experts. Techlight is our invite-only community for developers and industry experts to exchange ideas, share experiences, and learn from one another.
Regardless of the outcome, we will provide you with constructive feedback to help you grow.
PEA Registration Number and Date of the Certificate 4003 / 10.10.2025
