| Job Position | Company | Posted | Location | Salary | Tags |
|---|---|---|---|---|---|
Hivemapper | Remote | $72k - $100k | |||
Next Big Thing AG | Berlin, Germany |
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Next Big Thing AG | Berlin, Germany |
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Figure | San Francisco, CA, United States | $98k - $108k | |||
| Learn job-ready web3 skills on your schedule with 1-on-1 support & get a job, or your money back. | | by Metana Bootcamp Info | |||
Next Big Thing AG | Berlin, Germany |
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Next Big Thing AG | Berlin, Germany |
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Constellation Network | Remote | $98k - $156k | |||
Metrika Inc. | Athens, Greece | $45k - $100k | |||
Gemini | New York, NY, United States | $45k - $100k | |||
Worldcoin.org | remote | $98k - $156k | |||
Ripple | San Francisco, CA, United States | $30k - $70k | |||
Kronos Research | remote | $30k - $70k | |||
Brave | San Francisco, CA, United States | $43k - $65k | |||
Brave | remote | $28k - $75k | |||
Spring Labs | Los Angeles, CA, United States | $72k - $100k |
The R&D team is responsible for bringing - or inventing - state of the art methods from computer vision, machine learning, 3D reconstruction, and data science to our massive imagery network. This includes developing systems for detection, localization, semantic understanding, 3D reconstruction, complex optimization, etc.
We run code on massive processing clusters, as well as at the edge on smart phones and embedded devices.
Hivemapper is currently in alpha mode and already generating billions of frames of 4k street level imagery across 3 continents. We have an internal data QA team who are available for ad-hoc data annotation and qualitative feedback, as well as large scale relationships with high quality data labeling shops.
You are always interested in new challenges and are comfortable learning new technologies.
Responsibilities • Keeping up to date with the state of the art, and working to integrate it into our solutions • Analyzing how existing models perform on different scales of locality (global, country, region, urban, suburban, rural, etc.) and working to improve them at large scale • Work with teams all over the company to design and develop novel solutions to hard problems • Publishing novel research, supporting open source initiatives, and presenting at conferences • Help foster excellence across R&D
Qualifications • Experience using machine learning in large-scale production environments • Experience building systems that process large volumes of data • Experience or interest in using the following: AWS, Typescript, Python, TensorFlow, PyTorch, Rust, ECS, Kubernetes, C++, GPGPU • Strong math and analytical skills
What we offer: • Medical, Dental and Vision Benefits • Family Leave Policy • 401(k) Program • Paid Time Off • Commuter Benefits • Paid Lunches
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.