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

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.

Pay range:

Senior Machine Learning Engineer/Applied Data Scientist: $124,00 - $180,000 (USD)

Your actual level and base salary will be determined on a case-by-case basis and may vary based on the following considerations: job-related knowledge and skills, education, and experience.

Base salary is just one part of your total rewards package at Cricut. You may be eligible for long-term incentives, in the form of company stock, stock options, or long-term cash awards, as well as potential discretionary bonuses dependent on position. You will receive access to comprehensive medical, vision, and dental coverage, access to a 401(k) retirement plan, HSA with company contributions, FSA, Employee Assistance Program, paid short-term and long-term disability insurance, life insurance covered at 1X annual salary, paid parental leave, tuition reimbursement, LifeStyle account, and discounts and perks. You receive 20 days of paid vacation, 3 sick days, and will be eligible for 12 or more paid holidays per year. 

***Please note: This position is based in our office located in South Jordan, UT. If you are residing in Utah, you will be expected to work from our South Jordan office. However, if you are located outside of Utah, this position is open to remote work.

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.)

· Abilit