Senior Software Engineer; Machine Learning​/Applied Data Scientist

Senior Software Engineer (Machine Learning/Applied Data Scientist)

• Full-time
• Department:
  Software Engineering

Cricut® empowers people to make and personalize almost anything—from custom cards and apparel to everyday items and home décor. Our smart cutting machines, design apps, and materials make creativity easy and accessible for everyone. We believe everyone is born creative, and our mission is to put the power of handmade into the hands of all. With a passionate community of Makers around the world, Cricut helps turn inspiration into real, tangible creations—one project at a time.

Let’s make.

We are looking for an experienced Senior Machine Learning Engineer / Applied Data Scientist with deep expertise in modern machine learning and deep learning techniques. In this role, you will design, build, and deploy intelligent systems that power recommendations, clustering, and image analytics — directly shaping how our users discover ideas and live more creative lives.

• Analyze and preprocess large-scale datasets for training, evaluation, and experimentation.
• Develop and optimize deep learning models using architectures, loss functions, and augmentation strategies tailored to each problem.
• Apply and integrate LLMs (e.g., ChatGPT, Gemini) for reasoning, analytics, and workflow automation.
• Stay current with advancements in ML, computer vision, and AI, and translate research into production-ready solutions.
• Build scalable training pipelines and integrate them into our CI environment to support experiment tracking, nightly builds, and automated testing.
• Collaborate with software engineers to deploy ML models into production systems with reliability and performance in mind.
• Troubleshoot and debug ML systems across training, inference, and distributed environments.

• Willing to comply with 4‑5 day/week RTO policy. Monday‑Thursday.
• Work with product and engineering teams to define requirements and deliver impactful ML‑driven features.
• Document findings and present insights to technical and non‑technical stakeholders.

• Bachelor’s degree or higher in Computer Science, Applied Mathematics, Data Science, AI, or related fields.
• 3+ years of industry experience building and deploying ML models in production.
• Strong Python skills and proficiency with deep learning frameworks (Tensor Flow, PyTorch, or Keras).
• Experience with data manipulation using Num Py, Pandas, and scikit‑learn.
• Ability to write complex SQL queries, ideally with Redshift.
• Solid understanding of software engineering principles including Git and agile methodologies.
• Excellent problem‑solving and communication skills with the ability to work independently on complex ML challenges.

• Experience with AWS ML infrastructure (Sage Maker, Cloud Formation, Cloud Watch).
• Familiarity with Apache Airflow for workflow orchestration.
• Knowledge of containerization and distributed systems (Docker, Kubernetes).
• Motivation to drive projects end‑to‑end from research to production deployment and communicate progress with executives.

• This position is eligible for relocation assistance.

Please attach your resume, cover letter and/or include links to your portfolio or other social presence. 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.

We’re looking for A‑players—people who thrive in dynamic environments, turn challenges into momentum, and consistently deliver their best work. If that sounds like you, read on.

Here’s what makes someone a great fit for this role (and for this moment at Cricut):

• You move with urgency. You don’t wait for perfect clarity to act—you start, learn, and adjust.
• You set high standards. You take ownership, deliver quality, and hold yourself accountable.
• You stay focused when things move fast. You prioritize what matters most and tune out the…