Machine Learning Engineer
August 27
🇺🇸 United States – Remote
💵 $160k - $190k / year
⏰ Full Time
🟡 Mid-level
🟠 Senior
🤖 Machine Learning Engineer
Description
• Research and apply advanced data science and machine learning techniques to tackle challenges such as building recommendation systems • Work to identify opportunities to leverage proprietary data to build data driven tools and experiences • Develop, train, and deploy machine learning models, aimed at enhancing customer experiences and reinventing designer workflows • Conduct exploratory analysis to identify opportunities for developing new features • Engage in data engineering tasks, including accessing, transforming, modeling, and storing data
Requirements
• Experience deploying machine learning models to production environments on cloud service providers (preferably GCP/AWS) • Proficiency in Python and experience with machine learning frameworks such as Tensorflow, Keras, and Scikit-learn • A strong understanding of Neural Networks and their applications • Strong understanding of SQL and experience working with data warehouses such as Snowflake or BigQuery • Experience with image processing in ML models • Demonstrated ability to perform data engineering tasks, including data access, transformation, modeling, and storage • Solid foundation in machine learning, statistics, and data analysis • Innovative mindset with the ability to identify and pursue opportunities for the application of machine learning and data science methods • Excellent communication skills, with the ability to work as a thought partner to various stakeholders across the business • A Masters degree in statistics, computer science, economics, mathematics, or a related field, or 5+ years of related work experience
Benefits
• Competitive compensation • Generous PTO • Volunteer days off • Health benefits (Medical, Dental, Vision, Disability) • 401K • Paid Parental leave • Fertility benefits • Free design services • Furniture discounts • Merchandise credits
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