| Job Position | Company | Posted | Location | Salary | Tags |
|---|---|---|---|---|---|
Token Metrics Inc. | London, United Kingdom | $28k - $38k | |||
Kronosresearch | Remote | $121k - $125k | |||
Inmobi | Remote | $84k - $110k | |||
Kraken | United States | $127k - $254k | |||
| Learn job-ready web3 skills on your schedule with 1-on-1 support & get a job, or your money back. | | by Metana Bootcamp Info | |||
Genies | Remote | $36k - $45k | |||
Bitpanda | Remote | $93k - $149k | |||
Zscaler | Remote | $126k - $127k | |||
Wintermute | London, United Kingdom | $72k - $93k | |||
travoom | Austin, TX, United States | $92k - $125k | |||
Gemini | New York, NY, United States | $168k - $240k | |||
Gemini | New York, NY, United States | $140k - $200k | |||
Gemini | New York, NY, United States | $192k - $275k | |||
Binance | Bangkok, Thailand |
| |||
Genies | Remote | $36k - $56k | |||
Token Metrics | Houston, TX, United States | $88k - $119k |
Token Metrics is searching for a highly capable machine learning engineer to optimize our machine learning systems. You will be evaluating existing machine learning (ML) processes, performing statistical analysis to resolve data set problems, and enhancing the accuracy of our AI software's predictive automation capabilities.
As a machine learning engineer, you should demonstrate solid data science knowledge and experience.
A first-class machine learning engineer will be someone whose expertise translates into the enhanced performance of predictive models.
Responsibilities
Consulting with the manager to determine and refine machine learning objectives.
Designing machine learning systems and self-running artificial intelligence (AI) to automate predictive models.
Transforming data science prototypes and applying appropriate ML algorithms and tools.
Ensuring that algorithms generate accurate user recommendations.
Solving complex problems with multi-layered data sets, as well as optimizing existing machine learning libraries and frameworks.
Developing ML algorithms to analyze huge volumes of historical data to make predictions.
Stress testing, performing statistical analysis, and interpreting test results for all market conditions.
Documenting machine learning processes.
Keeping abreast of developments in machine learning.
Requirements
Bachelor's degree in computer science, data science, mathematics, or a related field.
Master’s degree in computational linguistics, data science, data analytics, or similar will be advantageous.
At least two years' experience as a machine learning engineer.
Advanced proficiency with Python, Java, and R code.
Extensive knowledge of ML frameworks, libraries, data structures, data modeling, and software architecture.
LLM fine-tuning experience and working with LLM Observability
In-depth knowledge of mathematics, statistics, and algorithms.
Superb analytical and problem-solving abilities.
Great communication and collaboration skills.
Excellent time management and organizational abilities.
Experience with crypto or web3 projects
About Token Metrics
Token Metrics helps crypto investors build profitable portfolios using artificial intelligence based crypto indices, rankings, and price predictions.Â
Token Metrics has a diverse set of customers, from retail investors and traders to crypto fund managers, in more than 50 countries.
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.