Senior Software Engineer developing machine learning geospatial products for Planet. Collaborating with engineers and scientists on innovative remote sensing analytics.
About the role
- Design, build, and deploy production-ready ML systems with high reliability and scalability.
- Develop, evaluate, and optimize recommender systems, feed systems, and NLP-driven solutions (e.g., sentiment analysis, semantic search).
- Implement robust MLOps practices using Docker, Kubernetes, and cloud platforms.
- Collaborate on system design, data pipelines, and end-to-end lifecycle management of ML models.
- Write clean, maintainable, and high-quality code following engineering best practices.
- Mentor and support less experienced colleagues, setting standards for technical excellence within the team.
Requirements
- 5+ years of industry experience working on machine learning projects, with a proven track record of delivering models into production.
- Strong knowledge of recommender systems, NLP methods, and modern ML architectures (including transformers and LLMs).
- Proficiency in Python (or similar), with excellent coding and debugging skills.
- Hands-on experience with containerization, orchestration, and deployment technologies (Docker, Kubernetes).
- Strong understanding of MLOps, CI/CD pipelines, monitoring, and model lifecycle management.
- Ability to design scalable solutions, from prototype to production.
- Strong problem-solving mindset, curiosity, and passion for innovation.
- Experience working on large-scale consumer-facing ML systems. (preferred)
- Familiarity with cutting-edge LLM applications and their integration into production systems. (preferred)
- Research background, evidenced by impactful contributions, publications, or applied innovations. (preferred)
- Experience mentoring and providing technical leadership in a collaborative team environment. (preferred)
Benefits
- Family benefits package
- Education - internal and through international conferences and workshops
- Top quality equipment and budget for Mobile phone
- Paid package of general physical examination once a year
- Sofascore Canteen (lunch options)
- Sofascore Bar (coffee and drinks on us)
- Numerous other benefits that we would verbally communicate to you
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
No Education Requirement
Tech skills
Location requirements
PA
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