Machine Learning Engineer

As a Machine Learning Engineer, you will design and develop the platforms and frameworks that facilitate automated data-driven decision-making, gather data, and determine statistical algorithms and models that a system can use to learn from experience, predict outcomes, and make decisions. About the role

• Collaborate with data scientists to develop algorithms and tools for training and running simulations
• Build services to interact with machine learning models through simulations
• Participate in code reviews to ensure code quality and share best practices
• Develop services that host the trained models and work with other application teams to integrate them into business processes
• Gather and analyze large datasets and develop data model pipelines
• Develop algorithms that drive automated data-driven decision-making
• Build the tools for monitoring the performance of machine learning applications, Our team members fuel our strategy, innovation and growth, so we ensure the health and well-being of not just you, but your family, too! We go above and beyond to give you the support you need on an individual level and offer all sorts of ways to help you live your best life. We are proud to offer eligible team members perks and health benefits that will help you have peace of mind. Simply put: We've got your back. Check out our full list of ., As a Senior Machine Learning Engineer within the AI Squad at Canopy and reporting to the Director of AI Engineering, you'll contribute to the development of cutting-edge AI solutio…

• 2 months ago
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• Master's degree in software development, computer science, algorithm design, artificial intelligence, or machine learning or equivalent experience, * 1 year of experience in machine learning and using libraries such as Scikit-learn, TensorFlow, Caffe, Keras, etc.
• 1 year of experience working with large datasets, structured and unstructured
• 1 year of programming experience, including Java, or Python
• 1 year of experience with the Hadoop ecosystem (Apache Hive, Pig, HBase and Kafka)
• 1 year of experience with distributed computing platforms, such as Spark, and user interface frameworks, such as Angular or React
• 1 year of experience with cloud computing providers such as AWS or Azure
• Ph.D. in software development, computer science, algorithm design, artificial intelligence, or machine learning or equivalent experience
• Proficiency in the Microsoft Office suite
• Strong object-oriented programming skills, including proficiency in Java, Scala, C/C++ or Python
• Knowledge of big data

This job description is an outline of the primary responsibilities of this position and may be modified at the discretion of the company at any time. Decisions related to employment are not based on race, color, religion, national origin, sex, physical or mental disability, sexual orientation, gender identity or expression, age, military or veteran status or any other characteristic protected by state or federal law. The company provides reasonable accommodations to qualified individuals with disabilities in accordance with applicable state and federal laws. Applicants requiring reasonable accommodations in completing the application and/or participating in the application process should contact a member of the Human Resources team, at . The compensation information below is provided in compliance with all applicable job posting disclosure requirements. The compensation for this position is $107,000.00-$241,500.00. The position may also be eligible for an annual bonus, incentives, and other employment-related benefits including, but not limited to, medical, dental, and vision benefits, 401K retirement plan, and paid-time off. More information regarding these benefits and others can be found . The information regarding compensation and other benefits included in this paragraph is the company's current, good faith estimate at the time of posting. [Compensation and benefits are subject to modification from time to time as the Company, in its sole and exclusive discretion, deems appropriate.] The Company may determine during its future reviews of the proposed compensation and benefits provided for this position, that the compensation and benefits for such position should be reduced. In no event will the Company reduce the compensation for the position to a level below the applicable jurisdictional minimum wage rate for the position. Los Angeles County and San Francisco Candidates only: qualified applicants with arrest or conviction records will be considered for employment per the Fair Chance Ordinance and the Fair Chance Initiative for Hiring., + $126,000-180,000 per year

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