Senior Machine Learning Engineer/Applied Data Scientist (Search Personalization)

We are seeking a talented and experienced Senior Machine Learning Engineer/Applied Data Scientist specializing in search relevance and ranking. As a Senior Machine Learning Engineer/Applied Data Scientist, you will play a pivotal role in developing and deploying models and algorithms for tasks such as candidate generation, ranking, and more. Your work will directly contribute to advancing our ability to deliver relevant results to our users.

Responsibilities:

· Analyze and preprocess large-scale image datasets for training and evaluation purposes.

· Analyze user behaviors to train a personalized ranking model for search.

· Work with LLMs to refine user input

· Experiment with different architectures, loss functions, and data augmentation techniques to improve model performance.

· Collaborate with cross-functional teams to define project requirements and deliver innovative solutions.

· Stay up-to-date with the latest advancements in machine learning, computer vision and search, and apply them to solve complex problems.

· Troubleshoot and debug issues related to model training, performance, and scalability.

· Integrate the training software into our continuous integration cluster to support metrics persistence across experiments, weekly/nightly neural network builds, and other unit / throughput tests.

· Collaborate with software engineers to integrate machine learning models into production systems.

· Document research findings, experiments, and algorithms in technical reports and presentations.

· Bachelor’s degree or higher in Applied Mathematics, Computer Science, Data Science, Statistics, Artificial Intelligence, or related fields.

· Proven industry experience (4+ years) in developing and deploying machine learning models for highly performant content retrieval systems, in any part of the search pipeline (i.e. pre-processing, candidate retrieval, ranking, post-processing).

· Strong programming skills in Python, including proficiency in one or more deep learning frameworks (TensorFlow, PyTorch, Keras). PyTorch preferred.

· Experience using KNN searches for candidate retrieval.

· Familiarity with AWS infrastructure and toolchain (SageMaker, CloudFormation, CloudWatch, etc.)

· Ability to preprocess and manipulate large datasets using tools such as NumPy, Pandas, and scikit-learn.

· Knowledge of software engineering principles, including version control (Git) and agile development methodologies.

· Excellent problem-solving skills, with the ability to work on complex machine learning challenges independently.

· Strong written and verbal communication skills, with the ability to effectively collaborate with team members and present findings to stakeholders.

Preferred Skills:

· Familiarity with natural language processing (NLP) and text extraction techniques.

· Familiarity with ElasticSearch/OpenSearch

· Understanding of containerization technologies (Docker) and distributed computing frameworks (Kubernetes).

· Motivated to take projects from R&D to production.

What to Do Next: 

Please attach your resume including links to your portfolio where applicable. If you want to show your super powers in other ways – include that information too. You can be sure that Cricut® is an employer who values individuality, equality and diversity, so tell us what you’re all about. If you are a Maker or a DIY enthusiast, whether you think you are a good one or not, we would love to hear about it when you send us your information!

At Cricut®, we celebrate inclusion and diversity. Cricut is an equal opportunity employer and makes employment decisions based on merit. Cricut prohibits discrimination based on race, color, religion, sex, sexual identity, gender identity, marital status, veteran status, nationality, citizenship, age, disability, medical condition, pregnancy, or any other unlawful consideration. All your information will be kept confidential according to EEO guidelines. Cricut participates in E-Verify.