Back to jobs

Sr. Machine Learning Engineer

Draper, UT (Hybrid)

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.

#LI-Hybrid

Apply for this job

*

indicates a required field

Resume/CV*

Accepted file types: pdf, doc, docx, txt, rtf

Select...
Select...
Select...

Beginner: You have basic knowledge of computer vision and deep learning concepts. You may have completed coursework, tutorials, or small projects but have limited hands-on experience with real-world applications.

Intermediate: You have implemented computer vision models using deep learning frameworks like TensorFlow or PyTorch. You understand key concepts such as CNNs, object detection, and feature extraction, but may need guidance in optimizing models for production.

Advanced: You have hands-on experience developing and deploying deep learning and computer vision models, integrating them into production systems. You are proficient in tuning models for performance and accuracy, staying updated on the latest advancements, and contributing to technical decision-making.

Expert: You have extensive experience researching, developing, and optimizing computer vision and deep learning algorithms. You have designed and implemented models for real-world applications, optimized for speed and accuracy, and contributed to academic or industry advancements. You mentor others and drive innovation in algorithmic solutions.

Select...

Beginner: You are familiar with Python and have written basic scripts or small projects for ML but have limited experience in optimizing or deploying models.

Intermediate: You have experience writing Python code for ML applications, using relevant libraries, but may require guidance in best practices for scalable and production-ready code.

Advanced: You have strong programming skills in Python, regularly using libraries like NumPy, OpenCV, and TensorFlow/PyTorch. You can write clean, modular code and optimize models for performance.

Expert: You write production-grade Python code, optimize algorithms for efficiency, and implement best practices for software engineering in ML applications. You contribute to open-source projects or have developed frameworks for large-scale ML systems.

Select...

Beginner: You have basic experience with ML frameworks, following tutorials or implementing pre-trained models, but have limited hands-on experience in training and deploying custom models.

Intermediate: You can implement ML models using TensorFlow/PyTorch but may require guidance for optimization, debugging, and advanced architectural decisions.

Advanced: You have significant hands-on experience using ML frameworks, implementing, training, and fine-tuning models for various applications. You can debug issues and optimize performance.

Expert: You have deep expertise in TensorFlow/PyTorch, customizing layers, optimizing models, and deploying at scale. You contribute to framework development or research in ML architectures.

Select...

Beginner: You have research or academic experience in algorithm development but limited exposure to deploying models in real-world applications.

Intermediate: You have developed algorithms and implemented models but may require guidance in deploying and optimizing them for production use.

Advanced: You have experience taking algorithms from proof of concept to production. You can optimize models for real-world constraints and work with software engineers for deployment.

Expert: You have led the full lifecycle of algorithm development, from research and prototyping to deployment in production systems. You optimize for speed, scalability, and accuracy while ensuring maintainability.

Select...
Select...
Select...
Select...

Voluntary Self-Identification

For government reporting purposes, we ask candidates to respond to the below self-identification survey. Completion of the form is entirely voluntary. Whatever your decision, it will not be considered in the hiring process or thereafter. Any information that you do provide will be recorded and maintained in a confidential file.

As set forth in SeekWell’s Equal Employment Opportunity policy, we do not discriminate on the basis of any protected group status under any applicable law.

Select...
Select...
Race & Ethnicity Definitions

If you believe you belong to any of the categories of protected veterans listed below, please indicate by making the appropriate selection. As a government contractor subject to the Vietnam Era Veterans Readjustment Assistance Act (VEVRAA), we request this information in order to measure the effectiveness of the outreach and positive recruitment efforts we undertake pursuant to VEVRAA. Classification of protected categories is as follows:

A "disabled veteran" is one of the following: a veteran of the U.S. military, ground, naval or air service who is entitled to compensation (or who but for the receipt of military retired pay would be entitled to compensation) under laws administered by the Secretary of Veterans Affairs; or a person who was discharged or released from active duty because of a service-connected disability.

A "recently separated veteran" means any veteran during the three-year period beginning on the date of such veteran's discharge or release from active duty in the U.S. military, ground, naval, or air service.

An "active duty wartime or campaign badge veteran" means a veteran who served on active duty in the U.S. military, ground, naval or air service during a war, or in a campaign or expedition for which a campaign badge has been authorized under the laws administered by the Department of Defense.

An "Armed forces service medal veteran" means a veteran who, while serving on active duty in the U.S. military, ground, naval or air service, participated in a United States military operation for which an Armed Forces service medal was awarded pursuant to Executive Order 12985.

Select...

Voluntary Self-Identification of Disability

Form CC-305
Page 1 of 1
OMB Control Number 1250-0005
Expires 04/30/2026

Why are you being asked to complete this form?

We are a federal contractor or subcontractor. The law requires us to provide equal employment opportunity to qualified people with disabilities. We have a goal of having at least 7% of our workers as people with disabilities. The law says we must measure our progress towards this goal. To do this, we must ask applicants and employees if they have a disability or have ever had one. People can become disabled, so we need to ask this question at least every five years.

Completing this form is voluntary, and we hope that you will choose to do so. Your answer is confidential. No one who makes hiring decisions will see it. Your decision to complete the form and your answer will not harm you in any way. If you want to learn more about the law or this form, visit the U.S. Department of Labor’s Office of Federal Contract Compliance Programs (OFCCP) website at www.dol.gov/ofccp.

How do you know if you have a disability?

A disability is a condition that substantially limits one or more of your “major life activities.” If you have or have ever had such a condition, you are a person with a disability. Disabilities include, but are not limited to:

  • Alcohol or other substance use disorder (not currently using drugs illegally)
  • Autoimmune disorder, for example, lupus, fibromyalgia, rheumatoid arthritis, HIV/AIDS
  • Blind or low vision
  • Cancer (past or present)
  • Cardiovascular or heart disease
  • Celiac disease
  • Cerebral palsy
  • Deaf or serious difficulty hearing
  • Diabetes
  • Disfigurement, for example, disfigurement caused by burns, wounds, accidents, or congenital disorders
  • Epilepsy or other seizure disorder
  • Gastrointestinal disorders, for example, Crohn's Disease, irritable bowel syndrome
  • Intellectual or developmental disability
  • Mental health conditions, for example, depression, bipolar disorder, anxiety disorder, schizophrenia, PTSD
  • Missing limbs or partially missing limbs
  • Mobility impairment, benefiting from the use of a wheelchair, scooter, walker, leg brace(s) and/or other supports
  • Nervous system condition, for example, migraine headaches, Parkinson’s disease, multiple sclerosis (MS)
  • Neurodivergence, for example, attention-deficit/hyperactivity disorder (ADHD), autism spectrum disorder, dyslexia, dyspraxia, other learning disabilities
  • Partial or complete paralysis (any cause)
  • Pulmonary or respiratory conditions, for example, tuberculosis, asthma, emphysema
  • Short stature (dwarfism)
  • Traumatic brain injury
Select...

PUBLIC BURDEN STATEMENT: According to the Paperwork Reduction Act of 1995 no persons are required to respond to a collection of information unless such collection displays a valid OMB control number. This survey should take about 5 minutes to complete.