About the role
We inspire purpose-filled living that brings beauty and quality to the modern home. Together, we achieve. Associates across our business drive results, innovate, and inspire. Drawn together by our shared values and passion for our customers and our brands, we deliver home furnishings that are expertly designed, responsibly sourced, and bring timeless style 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 over 60 years in the making—and our story is still unfolding.
We’re here for it. We think you should be too.
We are looking for a Senior AI Engineer to serve as a key individual contributor, responsible for designing, building, and deploying machine learning systems that directly impact our core product capabilities. You will be integral to the implementation, model optimization, and reliability of our production AI services. This role is perfect for a hands-on engineer who thrives on solving complex technical challenges and driving projects autonomously from conception through deployment, making a tangible difference with every line of code.
This position is fully remote
This role is an Individual Contributor
A day in the life as a Senior AI Engineer...
Design, develop, train, and fine-tune complex ML models (deep learning and classical techniques) to solve high-priority business problems, with deployment targeted primarily on Google Cloud Platform
Own end-to-end model deployment on GCP (Vertex AI, GKE, Cloud Run), ensuring performance, scalability, and stability under low-latency production requirements
Build and maintain MLOps pipelines on GCP (Vertex AI Pipelines, Cloud Build, Artifact Registry) for automated training, testing, versioning, and CI/CD
Design and build agentic AI systems and multi-agent workflows using frameworks such as Google ADK, LangChain, LlamaIndex, or AutoGen, integrated with GCP services (Vertex AI, Gemini models)
Write clean, well-tested, production-grade Python and C# code; participate actively in code reviews to uphold engineering standards.
Profile and optimize training and inference speed and cost, particularly for large datasets and distributed/constrained environments on GCP infrastructure
Author technical user stories covering the full ML development lifecycle
Actively participate in and help drive team ceremonies, sprint planning, and continuous process improvement
Partner with Data Engineering to define data infrastructure, features, and pipelines (BigQuery, Dataflow, Pub/Sub) needed for training and serving
Partner with DevOps and Cloud teams to build reliable, cost-optimized ML solutions on GCP
Collaborate continuously with product owners and stakeholders to refine technical solutions and roadmaps within an agile framework
Implement monitoring dashboards (Vertex AI Model Monitoring, Cloud Monitoring) to track drift, accuracy, latency, and cost, addressing issues proactively
Proactively identify, develop, and validate new features to improve model performance and generalization
Mentor engineers on ML and GCP best practices, and provide technical leadership on architecture decisions.
What you'll bring to the table...
Strong hands-on experience with Google Cloud Platform for ML: Vertex AI (Training, Pipelines, Model Registry, Endpoints, Model Monitoring), BigQuery, Cloud Run, GKE, and Cloud Build
Strong proficiency in Python and C#, with deep experience in core ML frameworks (TensorFlow, PyTorch, scikit-learn)
Strong knowledge of Agentic AI frameworks: Google ADK, AutoGen, LangChain, LlamaIndex, and experience integrating with Gemini/Vertex AI foundation models
Strong understanding of distributed training, model serving architecture, and best practices for scaling ML applications on GCP
Hands-on experience with MLOps tools (Vertex AI Pipelines, MLflow, DVC, Kubeflow) and containerization (Docker, Kubernetes/GKE)
Direct experience building and deploying ML solutions on Google Cloud (Vertex AI required); familiarity with AWS SageMaker or Azure ML a plus
Solid theoretical foundation in machine learning, statistics, and optimization techniques
Proficient in SQL (BigQuery), Pandas, and large-scale data processing (Dataflow/Apache Beam, Spark)
Deep understanding of agile methodologies
Strong communication, collaboration, and technical leadership skills
Proven ability to mentor and guide other engineers
Strong software engineering fundamentals: coding standards, code reviews, source control, testing, and operations
Excellent problem-solving and cross-functional communication skills
We'd love to hear from you if you have...
Bachelor's degree in Computer Science, Software Engineering, Information Systems, or a related field (or equivalent practical experience)
5+ years of experience in machine learning engineering
Proven track record of successfully designing, implementing, and deploying at least 2-3 significant ML models into a high-availability production system
Starting Rate: $105,000.00 - $140,000.00
Pay ranges will be adjusted upward as needed to comply with applicable state and local law. In addition to your salary, based on your role, associates may be eligible for other compensation including bonuses, sales incentives, and long term incentives.
Job ID R25984
Date posted 08/24/2026
Position Type Full TimeApplyOur commitment to our associates is of the utmost importance. One of the reasons the company attracts such a diverse group of associates is that we offer a full menu of benefits that are relevant to their lives, both on and off the job. We are proud to offer a comprehensive compensation and benefits package to support eligible part time and full time associates and their families, including:
Medical/Dental/Vision
Life insurance and Disability
Retirement and 401(k) match
Paid time off, wellness time and volunteer time
Merchandise discount and EAP resources
Tuition Reimbursement
Many of these benefits begin on day one, and extend to eligible dependents. To learn more about available benefits please click https://jobs.crateandbarrel.com/benefits
Euromarket Designs, Inc., which does business as Crate & Barrel, Crate & Kids, CB2 and Hudson Grace, 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.
Job Applicant Privacy: For details about how the Company collects and uses your personal information, please see our Job Applicant Privacy & Communications Notice.
Questions? Please reach out to careers@crateandbarrel.com
Share
X
Working in
Northbrook
View Map
Related Jobs
Principal Data Scientist - Northbrook, Illinois
Senior Software Engineer, Order Management - Northbrook, Illinois
Senior Analyst, Customer Analytics - Growth Programs - Northbrook, Illinois
Senior Fortinet Network Engineer - Northbrook, Illinois
Learn more about
Retail Store Careers
Learn more about
Distribution & Customer Service Center Careers
Learn more about
Corporate Careers
Learn more about
Merchandising Careers
Learn more about
Corporate Headquarters
Minimum requirements
- Bachelor’s degree in Computer Science or related field and 5+ years in machine learning engineering
- Proficiency in Python, C#, ML frameworks (TensorFlow, PyTorch), and Google Cloud Platform (Vertex AI, BigQuery, GKE)
- Proven experience deploying 2-3 ML models in high-availability production environments with strong MLOps skills
This listing was parsed by AI and may not be complete. Check the official posting on Crate & Barrel's site for the most accurate information.