As a rapidly expanding start-up at the intersection of agriculture and technology,
ScreenSYS is seeking a self-motivated, experienced, passionate, and team-oriented
professional to join our company in the role of Senior Machine Learning Developer.
This role is ideal for a seasoned professional with a strong background in machine
learning, deep learning, and project leadership. The candidate will work closely with a
team of experts in plant biology, data science, machine learning, and laboratory automation to develop cutting-edge AI solutions that drive innovation in agribusiness
and beyond.
Tasks
- Machine Learning Development & Optimization: Lead the design,
development, and optimization of advanced machine learning models (e.g.
Multi-Modal Foundation Models) to solve complex problems in agriculture,
such as protocol optimization to reprogram haploid plant microspores.
- Project Leadership: Take ownership of end-to-end machine learning projects,
from ideation and research to deployment and optimization, ensuring
alignment with business goals.
- Team Mentorship: Guide and mentor a team of machine learning engineers
and data scientists, fostering a culture of innovation, collaboration, and
continuous learning.
- Cross-Functional Collaboration: Work closely with interdisciplinary teams,
including plant biologists, data scientists, and software engineers, to integrate
AI solutions into real-world applications.
- Performance Optimization: Optimize models for efficiency, scalability, and
deployment in production environments, ensuring robustness and reliability.
- Research & Innovation: Stay at the forefront of AI research, exploring and
implementing cutting-edge methodologies to enhance model performance
and scalability.
Requirements
Advantageous Skills:
- A foundational understanding of biology or life sciences, enabling effective
collaboration with domain experts.
- Knowledge of reinforcement learning or generative models.
Benefits
- A permanent position within a dynamic and exciting R&D environment driven
by a start-up spirit.
- Competitive salary and annual performance bonus.
- Interdisciplinary, multinational, and creative working environment
- An inclusive, interdisciplinary, and multinational working environment.
To be considered for the role, please attach a "cover letter" answering the following questions:
- Multimodal Modelling: Do you have experience with mutli-modal modelling, combining computer vision with related metadata? If so, how did you approach it
- Image Data Quality Assurance: Do you have experience with data quality assurance, and which strategy would you recommend for image or meta data?
- Computer vision depth: Do you have hands-on experience training and deploying deep learning models for image segmentation or object detection? If so, which frameworks (e.g. Detectron2, MMDetection, YOLOv8)?
- Self-supervised or label-efficient learning: Do you have experience with self-supervised pretraining, semi-supervised, or active learning approaches? If so, in what setting?
Join us at ScreenSYS and be part of a team that’s revolutionizing agriculture through technology.