| Job Position | Company | Posted | Location | Salary | Tags |
|---|---|---|---|---|---|
Referrals Only Board | Remote | $126k - $127k | |||
Coinbase | United States | $180k - $212k | |||
AKASA | Remote | $175k - $230k | |||
Figure | San Francisco, CA, United States | $63k - $75k | |||
| Learn job-ready web3 skills on your schedule with 1-on-1 support & get a job, or your money back. | | by Metana Bootcamp Info | |||
Aptos | Palo Alto, CA, United States | $160k - $260k | |||
Foundry | New York, NY, United States | $100k - $200k | |||
OP3N WORLD | Los Angeles, CA, United States | $21k - $64k | |||
OKX | San Jose, CA, United States | $196k - $280k | |||
Openmesh Network | New York, NY, United States | $91k - $115k | |||
Sec3 | Remote | $72k - $115k | |||
Openmesh | Sydney, Australia | $90k - $150k | |||
OKX | Singapore, Singapore | $91k - $105k | |||
Kraken Digital Asset Exchange | Remote | $135k - $203k | |||
Ripple | Toronto, Canada | $94k - $96k | |||
Strike | Remote | $165k - $180k |
This job is closed
As a Senior Machine Learning Engineer at Coinbase, you will play a pivotal role in constructing essential infrastructure for the open financial system. This involves harnessing diverse and extensive data sources, including the blockchain, to grant millions of individuals access to cryptocurrency while simultaneously identifying and thwarting malicious entities. Your impact extends beyond safeguarding Coinbase, as you'll have the opportunity to employ machine learning to enhance the overall user experience. This includes imbuing intelligence into recommendations, risk assessment, chatbots, and various other aspects, making our product not only secure but also exceptionally user-friendly.
What you’ll be doing (ie. job duties):
- Investigate and harness cutting-edge machine learning methodologies, including deep learning, large language models (LLMs), and graph neural networks, to address diverse challenges throughout the company. These challenges encompass areas such as fraud detection, feed ranking, recommendation systems, targeting, chatbots, and blockchain mining.
- Develop and deploy robust, low-maintenance applied machine learning solutions in a production environment.
- Create onboarding codelabs, tools, and infrastructure to democratize access to machine learning resources across Coinbase, fostering a culture of widespread ML utilization.
What we look for in you (ie. job requirements):
- Experience with at least one ML model: LLMs, GNN, Deep Learning, Logistic Regression, Gradient Boosting trees, etc.
- Working knowledge in one or more of the following: data mining, information retrieval, advanced statistics or natural language processing, computer vision.
- Exhibit our core cultural values: add positive energy, communicate clearly, be curious, and be a builder.
Nice to haves:
- PhD degree strongly preferred with 3+ years of relevant experience
- Or MS degree in Computer Science, Machine Learning, Data Mining, Statistics, or related technical field with 6+ years of relevant experience
- Experience with Python.
- Experience with data analysis and visualization.
Job #: GML05NA
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.