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Full Time Computer Vision Deep Learning Engineer Jobs in Emmett, KS

Manufacturing Engineer

Wamego, KS · On-site

$25 - $35/hr

Maintains product and process data base by writing computer programs; entering data. * Completes ... Job Type: Full-time Salary: From $25.00 - $35.00 per hour Benefits: * 401(k) * 401(k) matching

Senior Operating Engineer

Topeka, KS · On-site

$60K - $78K/yr

Whether you've got deep experience in commercial real estate, skilled trades or technology, or you ... Working knowledge of computer applications including Word and Excel Licenses as required by ...

Senior Data Platform Engineer

Manhattan, KS

$104K - $137K/yr

Bachelor's degree in Computer Science, Engineering, or a related field, OR 6+ years of professional ... LLMs & Machine Learning: Practical experience integrating LLMs or ML models into production systems ...

New

Basic computer proficiency and experience with maintenance management systems is a plus. * Valid ... Schedule * Full-time, salaried position. * Open availability, including mornings, evenings ...

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Showing results 1-20

Full Time Computer Vision Deep Learning Engineer information

See Emmett, KS salary details

$41.5K

$104K

$117.7K

How much do full time computer vision deep learning engineer jobs pay per year?

As of Jul 31, 2026, the average yearly pay for full time computer vision deep learning engineer in Emmett, KS is $103,985.00, according to ZipRecruiter salary data. Most workers in this role earn between $95,400.00 and $112,500.00 per year, depending on experience, location, and employer.

What is the difference between Full Time Computer Vision Deep Learning Engineer vs Machine Learning Engineer?

AspectFull Time Computer Vision Deep Learning EngineerMachine Learning Engineer
Required CredentialsBachelor's or Master's in CS, AI, or related; experience with CV and DL frameworksBachelor's or Master's in CS, Data Science, or related; strong programming skills
Work EnvironmentResearch labs, tech companies, AI startups focusing on visual dataTech firms, finance, healthcare, focusing on predictive models
Industry UsagePrimarily in computer vision, robotics, autonomous vehiclesBroader, including NLP, recommendation systems, predictive analytics

The main difference is that Full Time Computer Vision Deep Learning Engineers specialize in visual data analysis using deep learning, while Machine Learning Engineers work on a wider range of predictive models across various data types. Both roles require strong programming skills and knowledge of ML frameworks, but their focus areas and applications differ.

What cities near Emmett, KS are hiring for Full Time Computer Vision Deep Learning Engineer jobs? Cities near Emmett, KS with the most Full Time Computer Vision Deep Learning Engineer job openings:
Infographic showing various Full Time Computer Vision Deep Learning Engineer job openings in Emmett, KS as of July 2026, with employment types broken down into 1% As Needed, 77% Full Time, 19% Part Time, and 3% Contract. Highlights an 94% Physical, 2% Hybrid, and 4% Remote job distribution, with an average salary of $103,985 per year, or $50 per hour.

Manager, Data Science & Innovation - Wearable Devices

Colgate-Palmolive Company

Topeka, KS • On-site

$140K - $160K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 6 days ago


Colgate-Palmolive rating

6.4

Company rating: 6.4 out of 10

Based on 23 frontline employees who took The Breakroom Quiz


Job description

Relocation Assistance Offered Within Country
Job Number #174930 - Topeka, Kansas, United States
Who We Are
Colgate-Palmolive Company is a global consumer products company operating in over 200 countries specializing in Oral Care, Personal Care, Home Care, Skin Care, and Pet Nutrition. Our products are trusted in more households than any other brand in the world, making us a household name!
Join Colgate-Palmolive, a caring, innovative growth company reimagining a healthier future for people, their pets, and our planet. Guided by our core values-Caring, Inclusive, and Courageous-we foster a culture that inspires our people to achieve common goals. Together, let's build a brighter, healthier future for all.
The Manager, Wearables Data Science & Innovation is a key technical leader within the Wearables Data Science and Innovation team, reporting directly to the Director of Wearables Innovation. In this role, you will lead a cross-functional team of scientists and data engineers to extract actionable insights from 24/7 pet wearable sensor data, directly validating product performance and driving corporate strategy. This position offers an exciting opportunity to combine advanced machine learning development with people leadership to shape the future of pet care technology. Ultimately, this role is responsible for translating complex time-series data into credible, high-impact product claims and behavioral insights.
Responsibilities:
  • Lead the technical development lifecycle of advanced machine learning architectures and data pipelines tailored for wearable devices and animal behavior algorithms.
  • Oversee end-to-end ML-Ops, model training, and code quality standards to ensure reliable, on-schedule deployment of data products.
  • Partner with leadership to align the technical roadmap and capability development with broader corporate strategic objectives and long-term vision.
  • Consult on clinical and observational study designs, establishing data collection standards and quality assurance reviews for data annotation pipelines to substantiate product claims.
  • Serve as the primary technical liaison for hardware and firmware development teams to streamline system integrations, data transfer protocols, and troubleshooting.
  • Mentor and develop scientists, data scientists, and engineers, promoting continuous process improvement and a culture of collaborative technical excellence.

Required Qualifications:
  • Master's degree in Computer Science, Data Science, Computer/Electrical Engineering, Applied Mathematics, or a related technical field.
  • 4+ years of progressive data science experience specifically focused on machine learning, signal processing, and time-series sensor data analysis.
  • Proficiency in Python or equivalent machine learning programming languages, with demonstrated software prototyping capabilities.
  • Proven familiarity with clinical or observational study designs and data collection methodologies used for claim substantiation.

Preferred Qualifications:
  • PhD in Computer Science, Data Science, Electrical Engineering, Applied Mathematics, or a related technical field.
  • Domain-specific expertise in developing machine learning models for animal behavior analysis.
  • Comprehensive knowledge of data platform architecture, cloud infrastructure (AWS, Azure, Google Cloud), CI/CD pipelines, and Git version control.
  • Strong functional competency in translating complex scientific findings into actionable business insights for non-technical stakeholders.
  • Demonstrated alignment with global core competencies, specifically Driving Innovation, Teamwork, and Planning & Priority Setting.

Compensation and Benefits
Salary Range $140,000.00 - $160,000.00 USD
Pay is determined based on experience, qualifications, and location. Salaried employees may also be eligible for discretionary bonuses, profit-sharing, and long-term incentives for Executive-level roles.
Benefits: Salaried employees enjoy a comprehensive benefits package, including medical, dental, vision, basic life insurance, paid parental leave, disability coverage, and participation in the 401(k) retirement plan with company matching contributions subject to eligibility requirements. Additional benefits include a minimum of 15 vacation/PTO days (hourly employees receive a minimum of 120 hours) and 13 paid holidays (vacation days are prorated based on the employee's hire date within the calendar year). Paid sick leave is adjusted based on role and location in accordance with local laws. Detailed information regarding paid sick leave entitlements will be provided to employees upon hiring and may be subject to adjustments based on changes in legislation or company policies.
Our Commitment to Inclusion
Our journey begins with our people-developing strong talent with diverse backgrounds and perspectives to best serve our consumers around the world and fostering an inclusive environment where everyone feels a true sense of belonging. We are dedicated to ensuring that each individual can be their authentic self, is treated with respect, and is empowered by leadership to contribute meaningfully to our business.
Equal Opportunity Employer
Colgate is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity, sexual orientation, national origin, ethnicity, age, disability, marital status, veteran status (United States positions), or any other characteristic protected by law.
Reasonable accommodation during the application process is available for persons with disabilities. Please complete this request form should you require accommodation.
For additional Colgate terms and conditions, please click here.
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About Colgate-Palmolive

Sourced by ZipRecruiter

Colgate-Palmolive is a leading global consumer products company, tightly focused on Oral Care, Personal Care, Home Care and Pet Nutrition. Colgate sells its products in over 200 countries and territories around the world under such internationally recognized brand names as Colgate, Palmolive, elmex, Tom's of Maine, Sorriso, Speed Stick, Lady Speed Stick, Softsoap, Irish Spring, Protex, Sanex, Elta MD, PCA Skin, Ajax, Axion, Fabuloso, Soupline and Suavitel, as well as Hill's Science Diet and Hill's Prescription Diet.

Industry

Manufacturing

Company size

10,000+ Employees

Headquarters location

New York, NY, US

Year founded

1806

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