Senior Software Engineer (Machine Learning/Applied Data Scientist)
- Full-time
- Department: Software Engineering
Company Description
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.
Job Description
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.
Responsibilities
Machine Learning & Research
- 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.
Engineering & Deployment
- 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.
Cross‑Functional Collaboration
- 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.
Qualifications
Required
- 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 (TensorFlow, PyTorch, or Keras).
- Experience with data manipulation using NumPy, 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.
Preferred
- Experience with AWS ML infrastructure (SageMaker, CloudFormation, CloudWatch).
- 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.
Additional Information
We’ve Got You Covered
At Cricut, we take care of our people. Enjoy competitive Medical, Dental, and Vision coverage, a 401(k) match, generous PTO, tuition reimbursement, and a yearly lifestyle stipend to support your wellness and passions. You’ll also receive exclusive employee discounts—and best of all, you’ll be surrounded by some of the most talented, creative, and curious minds out there.
A Quick Note Before You Apply…
Cricut is in an exciting chapter of transformation. We’re evolving fast—refining our strategy, growing our teams, and raising the bar across everything we do. This is an incredible opportunity for the right kind of person—but it’s not for everyone.
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 noise.
- You collaborate like a pro. You elevate others, communicate clearly, and bring a low-ego, high-output energy.
- You embrace AI as part of your toolkit. From idea exploration to data analysis and creative problem-solving, you leverage AI to accelerate innovation and amplify impact—because technology and creativity go hand-in-hand here.
One More Thing (It’s a Big One)
This role is in-office at least 3–4 days per week. We believe real collaboration, innovation, and culture are built face-to-face. If you’re energized by working alongside smart, kind, creative people—and love those hallway conversations that spark the next great idea—you’ll feel right at home.
If you’re looking for a fully remote role, this may not be the right fit. But if you’re excited by challenge, purpose, and building something better—let’s make something amazing together.
Relocation Statement:
- This position is eligible for relocation assistance.
What to Do Next: 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.
Cricut® is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. This position is contingent on successfully completing a Criminal Background Check upon hire. Cricut participates in E-Verify.