Algorithm Developer
2 weeks ago
About Us: Mapsted ) is a global leader in innovative location-based technology, distinguished by its proprietary hardware-free solutions. Founded in 2014, the company has pioneered the transformation of data chaos into actionable intelligence through advanced AI and machine learning. Mapsted has meticulously mapped over one billion square feet of indoor space and holds more than 100 patents, showcasing its commitment to trailblazing innovation. Its unique ability to deliver scalable, beacon-free indoor positioning with an accuracy of 1–5 meters places it at the forefront of the industry.
Job Overview:
We are seeking a highly motivated Algorithm Engineer with strong expertise in algorithm development, mathematical optimization, and software engineering. The role emphasizes developing and supporting optimization algorithms in C# and Python, working closely with clients and internal teams to deliver efficient, scalable solutions.
This is primarily a remote position, but the candidate will collaborate extensively with distributed engineering teams and occasionally support client deployments of optimization-based software systems.
The ideal candidate has a solid academic foundation (MSc/PhD) in optimization, applied mathematics, operations research, or computer science, coupled with hands-on experience in implementing and fine-tuning optimization algorithms.
Key Responsibilities
Algorithm Development & Optimization
- Design, implement, and optimize algorithms in C# and Python for solving complex real-world problems.
- Apply techniques from operations research, mathematical programming, and heuristic/metaheuristic optimization to improve solution quality and performance.
- Develop proof-of-concept prototypes, conduct performance benchmarking, and ensure scalability of optimization models.
- Collaborate with researchers and software engineers to integrate algorithms into production systems.
Deployment & Support
- Provide technical support for optimization-based applications, ensuring smooth deployment and operation.
- Diagnose and resolve issues related to algorithmic performance, configuration, and integration.
- Deliver documentation, test cases, and reproducible examples to aid debugging and knowledge transfer.
- Continuously enhance algorithms based on real-world usage and client feedback.
Client & Team Coordination
- Act as a technical liaison between customers, product managers, and internal research/engineering teams.
- Provide guidance and training to end users on using optimization tools effectively.
- Communicate technical findings and solutions clearly to both technical and non-technical stakeholders.
Requirements
- MSc or PhD in Applied Mathematics, Operations Research, Computer Science, or a related field.
- 4-6 years of relevant experience in optimization algorithm development and software engineering.
- Strong programming skills in C# and Python, with a focus on performance and scalability.
- Deep understanding of optimization techniques: linear/integer programming, constraint programming, metaheuristics, or machine learning-based optimization.
- Demonstrated experience implementing and tuning optimization models in real-world applications.
- Strong problem-solving, debugging, and analytical skills.
- Excellent communication skills and ability to collaborate in distributed teams.
Job Type: Full-time
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