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Machine Learning Scientist Job Opening In Singapore, Singapore – Now Hiring Cygnify


Job description

Job Description
Role: Machine Learning Scientist
Location: Singapore

We are partnering with a leading climate-tech company that is seeking a Machine Learning Scientist to join their core team and advance the frontier of climate impact.

In this role, the successful candidate will collaborate closely with the founding team to develop and scale AI models that extract actionable insights from satellite and remote sensing data.

The work will directly support applications in climate risk and environmental monitoring.

This opportunity is ideal for professionals who thrive at the intersection of applied machine learning, geospatial data, and real-world impact.


Responsibilities
  • Develop, train, and deploy ML models using satellite imagery (optical, SAR, multi-modal)
  • Integrate physical modelling concepts into AI architectures for better generalization and reduced data dependency
  • Collaborate with the engineering team to deliver scalable pipelines for model training and inference
  • Contribute to research, publications, and open-source projects where relevant
  • Translate technical findings into clear insights for internal teams and external stakeholders


Requirements

  • PhD in Machine Learning, Computer Vision, Remote Sensing, or a related field – OR MSc with 4+ years of research or industry experience in ML or equivalent experience.
  • 3+ years hands-on experience with PyTorch or TensorFlow
  • Proficient in Python/C++; solid grasp of CNNs, attention mechanisms, and optimization tricks
  • Demonstrated track record of shipping or publishing ML models using imagery data (e.g., CVPR, NeurIPS, AAAI, or high-quality open-source repositories)
  • Working knowledge of geospatial tools (GDAL, Rasterio, QGIS) and cloud compute infrastructure (AWS/GCP, GPUs)
  • Comfortable with modern DevOps tools: Git, Docker, CI/CD
  • Excellent written and spoken English; ability to distill complex ideas for non-expert audiences

Preferred (Nice-to-Have)

  • Exposure to SAR data, physics-guided networks, or multi-modal fusion
  • Experience generating or curating synthetic datasets
  • Familiarity with ONNX/TensorRT, mixed-precision training, or vector-DB-backed retrieval
  • Previous collaboration with EU/US research labs or startups
  • Passion for climate-tech, agro-insurance, or environmental compliance


#LI-RK1


Required Skill Profession

Mathematical Science Occupations


  • Job Details

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Unlock Your Machine Learning Potential: Insight & Career Growth Guide


Real-time Machine Learning Jobs Trends (Graphical Representation)

Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph here. Uncover the dynamic job market trends for Machine Learning in Singapore, Singapore, highlighting market share and opportunities for professionals in Machine Learning roles.

1469 Jobs in Singapore
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1309 Jobs in Singapore
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Download Machine Learning Jobs Trends in Singapore and Singapore

Are You Looking for Machine Learning Scientist Job?

Great news! is currently hiring and seeking a Machine Learning Scientist to join their team. Feel free to download the job details.

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The Work Culture

An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at Cygnify adheres to the cultural norms as outlined by Expertini.

The fundamental ethical values are:

1. Independence

2. Loyalty

3. Impartiapty

4. Integrity

5. Accountabipty

6. Respect for human rights

7. Obeying Singapore laws and regulations

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Interview Tips for Machine Learning Scientist Job Success

Cygnify interview tips for Machine Learning Scientist

Here are some tips to help you prepare for and ace your Machine Learning Scientist job interview:

Before the Interview:

Research: Learn about the Cygnify's mission, values, products, and the specific job requirements and get further information about

Other Openings

Practice: Prepare answers to common interview questions and rehearse using the STAR method (Situation, Task, Action, Result) to showcase your skills and experiences.

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Be Punctual: Arrive on time to demonstrate professionalism and respect.

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Confidence and Enthusiasm: Project a positive attitude and show your genuine interest in the opportunity.

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Final Thought:

To prepare for your Machine Learning Scientist interview at Cygnify, research the company, understand the job requirements, and practice common interview questions.

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By following these tips, you can increase your chances of making a positive impression and landing the job!

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