| Job Position | Company | Posted | Location | Salary | Tags |
|---|---|---|---|---|---|
Worldcoin | remote | $81k - $110k | |||
Ripple | New York, NY, United States | $61k - $80k | |||
ZORA | Remote | $98k - $156k | |||
TipTop | Remote | $165k - $260k | |||
| Learn job-ready web3 skills on your schedule with 1-on-1 support & get a job, or your money back. | | by Metana Bootcamp Info | |||
Waivlength | Remote | $140k - $180k | |||
Next Big Thing AG | Berlin, Germany |
| |||
Foundry | New York, NY, United States | $61k - $80k | |||
Next Big Thing AG | Berlin, Germany |
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Ripple | San Francisco, CA, United States | $45k - $100k | |||
Next Big Thing AG | Berlin, Germany |
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Next Big Thing AG | Berlin, Germany |
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Next Big Thing AG | Berlin, Germany |
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Next Big Thing AG | Berlin, Germany |
| |||
Figure | San Francisco, CA, United States | $98k - $156k | |||
Next Big Thing | Berlin, Germany |
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This job is closed
About the Team:
The AI & Biometrics team is building a state-of-the-art iris recognition engine that works on the 1B+ people scale. In order to do this, we use a fusion of custom optics, hardware, and on-device machine learning, combined with large-scale data collection in more than 20 countries to amass over several million images monthly. These images need to be pre-processed and passed through both external and in-house labelling services.
About the Opportunity:
You will be leading the development of internal-facing tools that will enable the development of cutting-edge computer vision models, making you a key to our success in onboarding a billion people in crypto.
As the AI team scales and the number of deployed models grows, you will industrialize our ML frameworks and implement MLOps tools to take us to the next level.
In this role you will:
- Architect, implement, test, and maintain core technology of our deep learning training and inference pipelines.
- Create frameworks and build tools for the entire ML lifecycle: Training, inference, deployment, MLOps, active learning, etc.
- Work transversely with the whole AI team to define their needs and implement the right tool
- Produce clean, maintainable and production-proof code and frameworks
About You:
- You have 5+ years of experience using Python and a ML framework (preferably Pytorch) building robust and clean ML tools (e.g. training and inference frameworks)
- You have industry experience as a Software engineer or Machine Learning Engineer developing, debugging, testing, and deploying ML models.
- You love clean and well-designed code, and want to raise the bar
Nice to have :
- Experience in Computer Vision, Active Learning
- Experience with biometric data
- Experience with MongoDB, AWS S3, Docker, Rust
#LI-Remote
Is machine learning a good career?
Yes, machine learning is a rapidly growing field and can be a very promising career option for those interested in it
As businesses and industries increasingly rely on data to drive decision-making, there is a growing need for skilled professionals who can analyze and make sense of this data
Machine learning, which involves developing algorithms that can learn from and make predictions on large datasets, is a crucial part of this process
Machine learning careers can range from data analysts, machine learning engineers, data scientists, and more
These professionals work in a variety of industries, including finance, healthcare, e-commerce, and technology
The demand for machine learning experts is high, and the salaries in this field are also generally quite competitive
However, it's important to note that machine learning can be a complex field that requires a strong background in mathematics, statistics, and computer science
It also requires ongoing learning and staying up-to-date with the latest developments and tools in the field
If you enjoy working with data, have a strong interest in programming, and are willing to put in the effort to stay current with developments, a career in machine learning can be very rewarding.