Machine Learning Software Engineer, Wayfair
Customer Service Technology
A global online homeware marketplace
Job no longer available
A global online homeware marketplace
1001+ employees
Job no longer available
1001+ employees
Company mission
To help everyone, anywhere create their feeling of home.
Role
Who you are
- Extensive experience in applying machine learning techniques to real-world problems, with at least 4 years of relevant industry experience
- Deep understanding of advanced machine learning algorithms and techniques, including deep learning, reinforcement learning, generative AI, and transfer learning
- Proficiency in multiple programming languages such as Python, or Java, with expert-level knowledge of Python preferred
- Expertise in popular machine learning frameworks and libraries such as TensorFlow, PyTorch, scikit-learn, or Keras, with the ability to design and implement complex models from scratch
- Proven track record of delivering successful machine learning projects from conception to deployment in a production environment
- Strong software engineering skills, including proficiency in writing clean, modular, and maintainable code, as well as familiarity with software design patterns and best practices
- Experience with distributed computing frameworks for handling large-scale datasets and training models in parallel
- Deep understanding of data engineering concepts and experience with building scalable data pipelines for collecting, processing, and transforming data
- Proficiency in cloud computing platforms, preferably Google Cloud, with experience deploying and managing machine learning models in cloud environments
- Strong analytical and problem-solving skills, with the ability to quickly understand complex systems and propose innovative solutions
- Excellent communication skills, with the ability to collaborate effectively with cross-functional teams
- Demonstrated ability to stay updated with the latest advancements in machine learning research and apply them to solve business problems effectively
- Bachelor’s degree in Computer Science, Computer Engineering or equivalent combination of education and experience
- Experience working with relational and non-relational databases
What the job involves
- We are looking for a passionate senior machine learning engineer to join the team to partner with us to extend our existing set of traditional ML technologies and infrastructure and to help us blaze a path in the generative AI space
- Research and experiment with state-of-the-art generative AI techniques and algorithms, and evaluate their performance on benchmark datasets and real-world scenarios
- Assist in the design, development, and implementation of advanced machine learning infrastructure and algorithms to solve complex business problems
- Collaborate with cross-functional teams to gather requirements, define project objectives, and identify opportunities for applying machine learning techniques
- Conduct exploratory data analysis to gain insights into the underlying patterns and relationships within the data, and identify features for model training
- Develop and deploy machine learning models in production environments, and monitor their performance to ensure reliability, scalability, and accuracy over time
- Optimize and fine-tune machine learning infrastructure for performance, scalability, and efficiency, and implement techniques for model interpretability and explainability
- Provide technical guidance and expertise, and foster a culture of innovation and continuous learning within the team
- Stay updated with the latest advancements in machine learning research and technologies, and actively contribute to the development of best practices and standards within the organization
- Collaborate with product managers, engineers, and stakeholders to translate business requirements into technical solutions, and communicate the impact of machine learning projects on business outcomes
- Change our systems and platforms to increase efficiency, reduce costs, increase stability, reduce technical debt and as a result increase revenue working closely with our product partners & operations partners
- Solve a wide range of challenging business problems in customer service and global partner support that extend the competitive advantage which separates Wayfair from other online retailers
- Contribute to architectural and code review discussions impacting our engineering ecosystem
Our take
Wayfair emerged in the early era of eCommerce with a mission to revolutionise online shopping, offering customers a convenient platform to purchase goods. Today, it stands as one of the foremost global players in the online furniture delivery industry, boasting an impressive inventory of over 33 million products.
Renowned for its extensive product range and comprehensive service offerings, Wayfair distinguishes itself by providing an end-to-end customer experience, from browsing to doorstep delivery. Despite its prominence, the company faces profitability challenges attributed largely to expansion expenses. Nonetheless, its solid presence in the competitive online homeware sector solidifies its position as a key contender.
With ambitious global expansion plans, Wayfair remains committed to maintaining its leadership in the industry. As it aspires to become the ultimate destination for all home needs, its more recent ventures into physical retail represent significant strides toward this overarching goal.
Kirsty
Company Specialist at Welcome to the Jungle
Insights
-14% employee growth in 12 months
Company
Company HQ
Prudential / St. Botolph, Boston, MA
Leadership
Niraj Shah
(Co-Founder & CEO)Studied Engineering at Cornell University before co-founding Spinners, a Boston-based IT services company. Previously acted as Entrepreneur in Residence for Greylock and has served as CEO of Wayfair since co-founding the company in 2002.
Steven Conine
(Co-Founder)Co-founded Spinners before working for Operations at iXL. Conine also co-founded Pillar VC in 2016.
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