Mlops Trabajos a distancia y desde casa en Draper, UT (Hybrid) ∙ Página 1

Who we are
SeekWell is the parent company of 1-800 Contacts, Luna, and Hello Eyes. Our goal is to make it simpler, easier, and more accessible for people to get the vision care they need. We maintain the legendary, award-winning culture 1-800 Contacts started almost 30 years ago and continue to develop innovative, pioneering products and businesses that make consumers cheer and optometrists squirm. We’re owned by KKR – one of the world’s largest and most successful private equity investment companies. We’ve built an excellent company and changed an industry by putting the customer first, always. The best is yet to come!

Why you want this job
As a Sr. Machine Learning Engineer / Computer Vision Engineer at SeekWell, you will play a critical role in developing and optimizing computer vision and deep learning algorithms that enhance our data-driven decision-making and product innovation. Your work will directly impact our ability to deliver seamless, efficient, and intelligent vision care solutions.

Leveraging your expertise in computer vision, deep learning, and machine learning frameworks like TensorFlow and PyTorch, you will design and implement scalable models that improve automation, image processing, and predictive analytics across our business. This role is ideal for someone passionate about leveraging AI-driven solutions to transform vision care and build industry-leading technologies.

What you’ll do

• Design and develop scalable computer vision and deep learning algorithms to support various business applications.
• Implement and optimize machine learning models for object detection, image segmentation, and feature extraction.
• Build and maintain data pipelines to process and train models on large-scale image datasets.
• Collaborate with cross-functional teams to integrate computer vision models into existing applications and workflows.
• Conduct research on state-of-the-art AI techniques and apply them to real-world problems.
• Optimize deep learning models for performance, speed, and accuracy.
• Develop tools for monitoring and improving model performance in production environments.
• Work on strategic projects that push the boundaries of AI applications in the vision care industry.

What you'll need - Minimum Qualifications

• 5+ years of experience in computer vision, deep learning, or related AI/ML fields.
• Strong proficiency in Python and experience with ML frameworks such as TensorFlow, PyTorch, or OpenCV.
• Expertise in designing and deploying deep learning models for real-world applications.
• Hands-on experience with data preprocessing, augmentation, and model training.
• Strong knowledge of cloud computing services (AWS, GCP, or Azure) for model deployment.
• Ability to work cross-functionally with data engineers, software developers, and business stakeholders.
• Strong problem-solving skills and ability to optimize models for performance and scalability.

Preferred Qualifications

• Experience with end-to-end AI/ML development, from research to production.
• Familiarity with MLOps practices and tools for model deployment and monitoring.
• Knowledge of optics and its applications in computer vision.
• Experience with large-scale dataset management and distributed training techniques.
• A track record of research publications, patents, or contributions to open-source AI projects.
• Experience with C++ development (nice to have)

Why we will love you

• You have a passion for applying cutting-edge AI research to solve real-world business problems.
• You thrive in a fast-paced environment and enjoy tackling complex challenges.
• You are a proactive problem solver who can work independently and as part of a team.
• You enjoy mentoring and collaborating with others to drive innovation and best practices.
• You are constantly learning and staying ahead of AI advancements to push the boundaries of what’s possible.

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

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