
Software Engineer - Machine Learning
Are you passionate about applying cutting-edge technology to enhance the customer experience? Do you have a strong background in machine learning and a desire to work in the retail industry? If so, Pottery Barn is looking for a talented Software Engineer - Machine Learning to join our team! As a member of our dynamic and innovative team, you will have the opportunity to build and implement advanced machine learning algorithms to drive data-driven decisions and improve our customer journey. We are seeking a highly skilled and motivated individual with a strong understanding of machine learning principles and a proven track record of developing and deploying successful ML models. If this sounds like you, we invite you to apply and become a valuable member of our team at Pottery Barn!
- Develop and implement advanced machine learning algorithms to enhance the customer experience.
- Collaborate with cross-functional teams to identify and prioritize areas of improvement for the customer journey.
- Utilize data analysis and modeling techniques to identify patterns and trends in customer behaviors.
- Design and build ML models to drive data-driven decision making for the retail industry.
- Stay up-to-date with the latest advancements in machine learning and apply them to improve processes and systems.
- Work with large datasets to clean, preprocess, and analyze data for model development.
- Develop and deploy successful ML models that can be integrated into our systems and processes.
- Continuously evaluate and improve the performance of existing ML models.
- Communicate complex technical concepts to non-technical stakeholders and collaborate with them to understand business needs.
- Document and present findings, insights, and recommendations to team members and management.
- Keep abreast of industry trends and best practices in machine learning and apply them to improve our systems and processes.
- Troubleshoot and resolve any issues related to machine learning models in a timely and efficient manner.
- Mentor and guide junior team members in developing their machine learning skills.
- Adhere to company policies, procedures, and coding standards.
- Proactively identify opportunities for improvement and propose solutions to enhance the overall customer experience.
Bachelor's Or Master's Degree In Computer Science, Data Science, Or Related Field.
Strong Knowledge And Experience In Machine Learning Algorithms And Techniques.
Proficiency In Programming Languages Such As Python, Java, And R.
Experience With Big Data Technologies And Tools Such As Hadoop, Spark, And Tensorflow.
Proven Track Record Of Successfully Implementing And Deploying Machine Learning Models In A Commercial Setting.
Data Analysis
Deep Learning
Computer Vision
Algorithm design
Natural language processing
Data Mining
Statistical modeling
Predictive modeling
Python programming
Neural Networks
Pattern Recognition
Communication
Conflict Resolution
Emotional Intelligence
Leadership
Time management
Interpersonal Skills
creativity
Teamwork
Adaptability
Problem-Solving
According to JobzMall, the average salary range for a Software Engineer - Machine Learning in San Francisco, CA, USA is $130,000 - $170,000 per year. This can vary depending on factors such as experience, specific job responsibilities, and the company itself.
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Pottery Barn is an American upscale home furnishing store chain and e-commerce company, with retail stores in the United States, Canada, Mexico and Australia. Pottery Barn is a wholly owned subsidiary of Williams-Sonoma, Inc. The company is headquartered in San Francisco, California. Pottery Barn also operates several specialty stores such as Pottery Barn Kids and Pottery Barn Teen. It has three retail catalogues: the traditional Pottery Barn catalogue; Pottery Barn Bed + Bath to focus on its bed and bath lines; and one for outdoor furniture.

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