| Job Position | Company | Posted | Location | Salary | Tags |
|---|---|---|---|---|---|
Numus | Remote | $63k - $70k | |||
CERE NETWORK | Remote |
| |||
AuditOne | Remote | $112k - $156k | |||
Cere Network | Europe |
| |||
| Learn job-ready web3 skills on your schedule with 1-on-1 support & get a job, or your money back. | | by Metana Bootcamp Info | |||
Okcoin | San Jose, CA, United States | $76k - $150k | |||
OP3N | Los Angeles, CA, United States | $21k - $64k | |||
Kraken Digital Asset Exchange | Remote | $36k - $70k | |||
Kraken Digital Asset Exchange | Remote | $63k - $120k | |||
FalconX | Remote | $105k - $108k | |||
Magic Eden | San Francisco, CA, United States | $180k - $220k | |||
Hologram Labs | New York, NY, United States | $122k - $156k | |||
Kraken Digital Asset Exchange | Remote | $63k - $75k | |||
Heretic | San Francisco, CA, United States | $87k - $120k | |||
Heretic | San Francisco, CA, United States | $87k - $120k | |||
Heretic | San Francisco, CA, United States | $96k - $120k |
This job is closed
As a Lead Machine Learning Systems Engineer, you will collaborate with a world class team to build and rapidly scale machine learning training systems. Our Software Engineers develop amazing code that enables optimal training of large neural networks across a massive fleet of machines.
Expertise in Python or C++, as well as machine learning systems, is a must.
Key Requirements:
- Bachelor's degree in Computer Science or related area. Advanced degree preferred.
- 4+ years experience building high performance, distributed software in Python
- Strong understanding of machine learning, statistical learning, or deep learning methods and technologies
- Performance tuning/optimization of software and algorithms
- Strong analytical and problem-solving skills
- A passion for distributed systems and machine learning
- Excellent communication skills.
- Confident team player motivated by a fast-paced, entrepreneurial environment
The base salary range for this role is between $100,000 and $250,000. The base salary range does not include any other form of compensation, such as any bonus amounts, or equity. Factors that may impact the agreed upon base salary within the range for a particular candidate include years of experience, level of education obtained, skill set, and other factors.
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.