We inspire purpose-filled living that brings joy to the modern home. With a team of more than 8,000 associates spanning 130 store and distribution locations across the U.S. and Canada, we achieve together, drive results and innovate to inspire. Drawn together by a shared passion for our customers and a spirit of fun, we deliver high-quality home furnishings that are expertly designed, responsibly sourced and bring beauty and function to people's homes. From the day we opened our first store in Chicago in 1962 to the digital innovations that engage millions of customers today, our iconic brand is nearly 60 years in the making-and our story is still unfolding.
We are looking for an AI / Machine Learning Engineer with 2-5 years of experience to play a critical role in building and enhancing our production machine learning systems. You will be responsible for the day-to-day implementation of core models, developing efficient data pipelines, and ensuring the smooth operation of our AI services. This role is ideal for an engineer eager to solidify their production skills, learn MLOps best practices under senior guidance, and immediately contribute to impactful, user-facing features.
- This position is fully remote
- This role is an Individual Contributor position
A day in the life as an AI/ ML Engineer...- Write, implement, and test machine learning algorithms and models under the guidance of senior team members, focusing on defined project scopes.
- Develop and maintain efficient data pipelines and scripts for cleaning, transforming, and augmenting large datasets necessary for model training and evaluation.
- Assist in the iterative process of developing, managing, and validating new features to improve existing model performance.
- Design and conduct rigorous A/B testing and validation experiments to measure model performance and impact before and after deployment.
- Work within our existing MLOps frameworks (e.g., Docker, Kubernetes, MLflow) to help deploy and manage models in cloud production environments.
- Quickly diagnose, debug, and resolve issues related to model performance, data pipelines, and production inference services.
- Help set up and maintain model monitoring tools to track key production metrics, latency, and data/model drift.
- Participate in agile ceremonies to contribute to effective sprint planning, transparent communication, and the successful delivery of sprint goals.
- Work closely with product owners and other cross-functional team members to deeply understand user stories and deliver valuable solutions in alignment with sprint goals.
- Contribute to the continuous improvement of development processes and tools through active participation in team retrospectives and feedback loops.
- Write clean, maintainable, and well-documented code and contribute to the development and maintenance of internal knowledge bases and documentation repositories to facilitate information sharing and team learning.
- Stay current with relevant technologies and industry trends.
What you'll bring to the table...- Proficiency in Python and fundamental familiarity with essential ML libraries (e.g., scikit-learn, PyTorch, TensorFlow).
- Solid understanding of core machine learning concepts, statistical methods, and common algorithm families (e.g., regression, classification, clustering).
- Experience with SQL and working with relational or NoSQL databases for data extraction and preparation.
- Good grasp of software development principles, version control, and unit testing practices.
- Basic experience or strong foundational knowledge of deploying applications or using services on a major cloud platform (AWS, Azure, or Google Cloud Platform).
- Proven ability to analyze data, interpret model results, and clearly communicate findings.
- Strong communication and collaboration skills, with the ability to effectively interact with cross-functional team members.
- Ability to work independently on assigned tasks and contribute actively as a valued member of a self-organizing team.
We'd love to hear from you if you have...- 2+ years of experience in machine learning engineering, data science or a related role.
- Bachelor's degree in Computer Science, Engineering, Mathematics, Statistics, or a related field (or equivalent practical experience).
Euromarket Designs, Inc., which does business as Crate and Barrel and CB2, will be referred to as "the Company". The Company is deeply committed to working with and providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation for any part of the application process, or in order to perform the essential functions of a position, please contact the location you are applying to here and ask to speak with a manager regarding the nature of your request.
The Company is an equal opportunity employer; applicants are considered for all positions without regard to race, color, religious creed, sex, national origin, citizenship status, age, physical or mental disability, sexual orientation, gender identity, marital, parental, veteran or military status, unfavorable military discharge, or any other status protected by applicable federal, state or local law.
The Company participates in E-Verify and will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the US.
State / City Compliance: The Company will consider for employment qualified applicants with criminal history, including arrest and conviction records, in accordance with the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance.
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