Senior Machine Learning Developer Foundation Models & AI Innovation (fmd)
Share
Job Location:
Freiburg im Breisgau - Germany
Monthly Salary:
Not Disclosed
Posted on:
8 hours ago
Vacancies:
1 Vacancy
Job Summary
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
- Educational Background: A Masters or Ph.D. degree in STEM fields such as
computer science mathematics statistics or a related discipline. - Specialized Experience:
- 5 years of experience in machine learning and deep learning with a proven track record of developing and deploying large-scale models.
- Demonstrated experience in training and fine-tuning foundation models (e.g. GPT BERT Vision Transformers or similar).
- Strong leadership experience including leading machine learning projects and mentoring teams. - Technical Skills:
- Proficiency in Python and deep learning frameworks such as TensorFlow PyTorch or JAX.
- Experience with distributed training techniques and frameworks (e.g. Horovod DeepSpeed).
- Familiarity with cloud platforms (e.g. AWS GCP Azure) and
containerization tools (e.g. Docker Kubernetes).
- Strong understanding of software engineering best practices including
version control (Git) CI/CD pipelines and agile methodologies.
- Familiarity with database management systems (relational and NoSQL).
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 thats revolutionizing agriculture through technology.
Key Skills
- Industrial Maintenance
- Machining
- Mechanical Knowledge
- CNC
- Precision Measuring Instruments
- Schematics
- Maintenance
- Hydraulics
- Plastics Injection Molding
- Programmable Logic Controllers
- Manufacturing
- Troubleshooting
About Company
ScreenSYS is a start-up founded in 2017 developing technologies that modernise plant breeding and agricultural biotechnology. We combine robotics microscopic phenotyping artificial intelligence and automated experimental workflows to accelerate micropropagation doubled haploid (DH) te ... View more
