17 Staff Machine Learning Engineer Jobs in San Jose, CA
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OKX is Hiring a Staff Machine Learning Engineer Near San Jose, CA
Who We Are
About the Opportunity
What You’ll Be Doing
- Design, develop, and deploy machine learning models to detect and prevent fraudulent activities.
- Work closely with cross-functional teams to understand business requirements and translate them into technical solutions.
- Optimize existing machine learning systems for performance and scalability.
- Collaborate in the architecture and design of data pipelines and infrastructure to support machine learning workflows.
- Conduct research and implement new machine learning techniques and methodologies.
- Mentor junior team members and contribute to knowledge sharing within the team.
What We Look For In You
- At least 5 years of experience in Machine Learning Engineering.
- Proficiency in Python and familiarity with Java.
- Solid understanding of common machine learning models, including experience with frameworks like LightGBM and XGBoost.
- Experience with SQL and familiarity with common data products such as PostgreSQL, DynamoDB, Kafka, and Redis.
- Knowledge of at least one neural network framework, such as TensorFlow.
- Experience in building and maintaining data pipelines.
- Bachelor’s or Master’s degree in Computer Science, Engineering, Statistics, or a related field.
- Strong problem-solving skills and ability to work in a fast-paced environment.
- Excellent communication and collaboration skills.
Nice to Haves
- Experience in fraud detection, specifically in areas like bot detection, credit card chargeback prevention, and promotion abuse protection, is highly desirable.
Perks & Benefits
- Competitive total compensation package
- L&D programs and Education subsidy for employees' growth and development
- Various team building programs and company events
OKX Statement
Job Summary
Full Time
$118k-151k (estimate)
01/25/2024
05/03/2024
The job skills required for Staff Machine Learning Engineer include Machine Learning, Python, Computer Science, SQL, Collaboration, Problem Solving, etc. Having related job skills and expertise will give you an advantage when applying to be a Staff Machine Learning Engineer. That makes you unique and can impact how much salary you can get paid. Below are job openings related to skills required by Staff Machine Learning Engineer. Select any job title you are interested in and start to search job requirements.
The following is the career advancement route for Staff Machine Learning Engineer positions, which can be used as a reference in future career path planning. As a Staff Machine Learning Engineer, it can be promoted into senior positions as a Principal AI Engineer that are expected to handle more key tasks, people in this role will get a higher salary paid than an ordinary Staff Machine Learning Engineer. You can explore the career advancement for a Staff Machine Learning Engineer below and select your interested title to get hiring information.
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