| Job Position | Company | Posted | Location | Salary | Tags |
|---|---|---|---|---|---|
Brave | San Francisco, CA, United States | $43k - $65k | |||
Brave | remote | $28k - $75k | |||
Spring Labs | Los Angeles, CA, United States | $72k - $100k | |||
Rarible | Moscow, Russia | $81k - $100k | |||
| Learn job-ready web3 skills on your schedule with 1-on-1 support & get a job, or your money back. | | by Metana Bootcamp Info | |||
Coinbase | Remote |
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Coinbase | Remote | $98k - $156k | |||
Coinbase | Remote | $98k - $156k | |||
Coinbase | Remote | $72k - $100k | |||
Coinbase | Remote |
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Coinbase |
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Coinbase | $42k - $87k | ||||
Coinbase | $98k - $156k | ||||
Coinbase | $98k - $156k | ||||
Coinbase | $72k - $100k | ||||
Ripple | San Francisco, CA, United States | $98k - $156k |
This job is closed
Brave is looking for an experienced Machine Learning engineerto help build our Brave Web Browser. It's already receiving rave reviews and we are only just beginning. Jump in and work with a top-notch team and watch our adoption soar with your help. We need to hire a machine learning engineer to help with a wide range of key issues, ranging from better ad targeting to finding and fighting malware.
Specific Skills That Will Set You Apart from the Competition
- Privacy-preserving machine learning
- Decentralized machine learning
- Deep knowledge of adtech
- Ph.D. in computer science from a top-tier school
About you
An ideal candidate will have a mix of skills that include the following:
- Demonstrates a high level of initiative and consistently delivers high-quality answers
- Has an enquiring mind and a disciplined scientific approach to extracting facts and understanding observed behavior
- Is excited by the potential of realizing high-value commercial outcomes and change the way that the advertising business operates
- Want to be part of a high-growth startup company with global ambitions
- Comfortable withJavaScript and C++ so that they can effectively interact with the rest of the team. Knowledge of Python, Java or C# is also strongly encouraged.
- Has a proven track record implementing data driven products and a broad understanding of the state of the art in machine learning
- Comfortable working in an open source setting
- Able to create and deploy machine learning pipelines
- Has a passion for helping protect users’ privacy and security
- A Ph.D. in computer science is highly preferred, but we may consider some exceptions
SpecificSkills
- Logistic Regression, Decision Trees, Random Forest, Naive Bayes, Clustering, etc. and a good grasp of the strengths and weaknesses of specific approaches
- Basic data cleansing and preparation, variable preprocessing/transformation
- Univariate analysis, performing statistical tests, covariance analysis, multivariate analysis and linear/non-linear regression
- Preparation of data sets for predictive modelling, robust predictive model building, validation and application
- Automation of statistical processes and integration into a bigger product
- Experience in Hadoop technologies such as Hive / Impala and distributed data pipelines such as Airflow / Luigi
What we offer
- Ability to work at an exciting and well-funded international startup headquartered in San Francisco
- Cutting-edge technology, allowing you to work with state-of-the-art tools and software solutions
- Competitive compensation and plenty of room for personal growth
- Great international exposure and team atmosphere
We are looking to hire in London but would consider an exceptional candidate in the rest of Europe.
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.