| Job Position | Company | Posted | Location | Salary | Tags |
|---|---|---|---|---|---|
Truflation | Remote | $43k - $54k | |||
Heretic/Arcade | San Francisco, CA, United States | $21k - $70k | |||
Genies | San Mateo, Portugal | $165k - $230k | |||
Brave | London, United Kingdom | $18k - $80k | |||
| Learn job-ready web3 skills on your schedule with 1-on-1 support & get a job, or your money back. | | by Metana Bootcamp Info | |||
Worldcoinorg | New York, NY, United States | $105k - $150k | |||
Menyala | Singapore, Singapore | $129k - $132k | |||
Menyala | Singapore, Singapore | $129k - $132k | |||
Menyala | Singapore, Singapore | $129k - $132k | |||
Coinbase | Remote | $175k - $237k | |||
Kraken | United States | $63k - $87k | |||
Sahara | San Francisco, CA, United States | $32k - $54k | |||
Kraken | United States | $94k - $101k | |||
Pundi X | Singapore, Singapore | $112k - $150k | |||
Whatnot | New York, NY, United States | $175k - $265k | |||
Heretic | San Francisco, CA, United States | $21k - $70k |
The Mission
At Truflation, we're bridging the gap between the dynamic world of financial data and cutting-edge machine learning research. As the future unfolds, understanding financial trends through the lens of deep data analytics is pivotal. We are on the hunt for a Machine Learning Researcher who can help decipher patterns in vast financial datasets, contributing to our revolutionary approach to finance.
The Role
• Work closely with our data systems team to obtain and pre-process data for analytical purposes.Implement data quality control mechanisms to ensure data integrity and reliability, using anomaly detection techniques.Develop and refine machine learning models to perform predictive analysis on financial and economic datasets.Collaborate with financial experts to transform raw data into meaningful insights, guiding financial decisions and strategiesStay abreast of the latest in machine learning research, continuously pushing our boundaries and driving innovation
Basic Qualifications
• PhD or Master's degree in Machine Learning, Computer Science, Statistics, or related fields.Demonstrated experience with popular machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learnStrong understanding of data preprocessing, feature engineering, and data quality control.Proficient in programming languages like Python or R.Proven track record of research publications or impactful ML projects, especially in the realm of financial analysis.
Preferred Qualifications
• Experience working with financial or economic data.Familiarity with time series analysis, anomaly detection, or other relevant machinelearning paradigms in the finance domain.Strong written and verbal communication skills; ability to make complex analytical techniques understandable to a non-technical audience.An insatiable curiosity to explore new methods, algorithms, and techniques, staying updated with the latest research.
Culture And Values
Mirroring the top-tier practices of companies like Netflix, we firmly believe in hiring only the best. We foster a culture of innovation, continuous learning, and the pursuit of excellence. We expect you to challenge and be challenged, to create, and to innovate. Join us, and be a pivotal part of our journey in reshaping the financial data world.
Compensation And Benefits
• Competitive salaryFlexible work schedule and remote-friendly cultureEncouragement and support for research publications and conferences
Interested? We'd love to hear from you. Apply now and redefine the future of financial data with us.
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.