Senior Machine Learning Engineer/Applied Data Scientist (Search Personalization)
South Jordan, UT, United States
Cricut
What is Cricut? Cricut makes smart cutting machines that work with an easy-to-use app to help you design and personalize almost anything - custom cards, unique apparel, and so much more.Company Description
Cricut® makes smart cutting machines that work with an easy-to-use app, an ever-growing collection of materials, and crafting essentials to help you design and personalize almost anything — custom cards, unique apparel, everyday items, and so much more.
Let’s make.
Overview
We believe everyone is born creative. We’re a diverse tapestry of thinkers, dreamers, givers, DIYers, handi-workers, artisans, and forever and always architects of things.
At Cricut, we place the power of handmade into the hands of all. We give you beautiful, easy-to-master tools so you can make something unique, remarkable, perfect. We surround you with ideas, community, inspiration, and encouragement to take your creativity further than you ever imagined. And as a community, we celebrate the exhilarating act of making every single day.
So, make that handcrafted card that feels like a hug. Design a shirt for fun, for family, or for a full-blown business. Craft with a passion or for a purpose. Make something big and bold, itsy-bitsy, amazingly ambitious, or just plain silly. Whatever you make, just make your heart out. Because here’s the remarkable truth: When we all make together, we make all things possible.
Let’s make.
Job Description
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.
Qualifications
· 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.
Additional Information
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.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Agile Architecture AWS CloudFormation Computer Science Computer Vision Deep Learning Docker Elasticsearch Engineering Git Keras Kubernetes LLMs Machine Learning Mathematics ML models Model training NLP NumPy OpenSearch Pandas Python PyTorch R R&D Research SageMaker Scikit-learn Statistics TensorFlow
Perks/benefits: Career development
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