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Machine Learning Engineer Software Engineer Jobs in Independence, MO

Garmin Ltd.

Senior Software Engineer - Audio

Olathe, KS · On-site

$120 - $160/hr

May serve as a Lead Software Engineer for complex software development project designs and/or ... Familiarity with machine learning techniques related to audio processing Garmin International is an ...

Garmin

Senior C# Software Engineer - Map Data

Olathe, KS · On-site

$115K - $152K/yr

Garmin is seeking a full-time Senior C# Software Engineer on their Map Data team at their U.S ... using machine learning, statistical analysis, or data mining techniques to derive insights or ...

Jobtailor

Senior Software Engineer

Mission, KS · On-site

$127.50 - $172.50/hr

Senior Software Engineer • Kansas City, MO Last updated: 12 hours ago Full-time Full-time Quick ... Identify opportunities to leverage artificial intelligence, machine learning, automation, and ...

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Showing results 1-20

All JobsMachine Learning Engineer Software Engineer JobsMachine Learning Engineer Software Engineer Jobs in Independence, MO

Machine Learning Engineer Software Engineer information

See Independence, MO salary details

$57.9K

$134.5K

$187.4K

How much do machine learning engineer software engineer jobs pay per year?

As of Aug 25, 2026, the average yearly pay for machine learning engineer software engineer in Independence, MO is $134,505.00, according to ZipRecruiter salary data. Most workers in this role earn between $109,400.00 and $157,700.00 per year, depending on experience, location, and employer.

How do machine learning engineer software engineers typically collaborate with data scientists and software development teams?

Machine Learning Engineer Software Engineers often serve as a bridge between data scientists and software development teams. They work closely with data scientists to understand and implement machine learning models, ensuring that the models are production-ready and scalable. Additionally, they collaborate with software engineers to integrate these models into existing applications, monitor their performance, and address any engineering challenges. This cross-functional collaboration is essential for delivering robust, end-to-end AI solutions that add real value to the business.

What is the difference between Machine Learning Engineer Software Engineer vs Data Scientist?

AspectMachine Learning EngineerSoftware Engineer
Required CredentialsBachelor's/Master's in CS, specialized ML coursesBachelor's in CS or related field
Work EnvironmentDevelops ML models, algorithms, data pipelinesBuilds software applications, systems, APIs
Industry UsageAI/ML projects, data-driven solutionsWeb, mobile, enterprise software

Machine Learning Engineers focus on designing and deploying ML models, requiring expertise in algorithms and data handling. Software Engineers develop broader software applications, emphasizing coding and system architecture. While both roles require programming skills, ML Engineers specialize in AI/ML tasks, whereas Software Engineers work across various software domains.

What are popular job titles related to Machine Learning Engineer Software Engineer jobs in Independence, MO?

For Machine Learning Engineer Software Engineer jobs in Independence, MO, the most frequently searched job titles are:

What job categories do people searching Machine Learning Engineer Software Engineer jobs in Independence, MO look for?

The top searched job categories for Machine Learning Engineer Software Engineer jobs in Independence, MO are:

Machine Learning Engineer Software Engineer jobs near you

Research Engineer - Machine Learning & Robotics

Lenexa, KS • On-site

Jumio Corporation
Software Development • 1 - 5K employees
Learn more about Jumio Corporationexternal

Full-time

Re-posted 3 hours ago

Job description

Job Summary:
Jumio Corporation is a B2B technology company dedicated to eradicating online identity fraud and financial crimes. They are seeking a Research Engineer to help build and scale systems for data collection, model development, and product improvement in the fields of machine learning and robotics.
Responsibilities:
• Build and integrate ROS/ROS2-based modules to support robotic navigation, manipulation, and data collection workflows.
• Replicate and integrate mobile and web UI environments into robotic testing and data collection systems.
• Build, maintain, and improve training and test datasets collected through robotic manipulators and in-house iOS and Android applications.
• Mine, query, and analyze data from internal databases to create features, identify trends, and generate insights that improve product and model development.
• Develop tools and processes to monitor data quality, model performance, and model accuracy in production environments.
• Implement end-to-end machine learning workflows, including data preparation, model training, testing, evaluation, and deployment support.
• Write clean, modular, well-documented C++ and Python code that can be maintained and extended by other engineers.
• Collaborate cross-functionally with machine learning, engineering, product, and research teams to improve data collection, model development, and system performance.
Qualifications:
Required:
• Bachelor’s or Master’s degree in Computer Science, Robotics, Electrical Engineering, Machine Learning, or a related technical field.
• 1–2 years of relevant industry, internship, or research experience in machine learning, robotics, computer vision, or related technical areas.
• Hands-on experience with ROS and/or ROS2, including building or integrating modules for robot navigation, manipulation, simulation, or data collection.
• Strong foundation in machine learning fundamentals, with experience implementing models in Python using frameworks such as PyTorch, TensorFlow, scikit-learn, or similar.
• Experience working with databases, writing queries, and building or maintaining data pipelines for training, testing, or evaluation.
• Strong programming skills in Python and C++, with an emphasis on clean, reliable, well-documented code.
• Ability to work hands-on with physical hardware, debug system behavior, and translate research or prototype work into scalable engineering solutions.
Preferred:
• Experience with robotic manipulators, mobile robot platforms, or lab-based robotic systems.
• Familiarity with iOS and/or Android development, especially for hardware-integrated data collection applications.
• Experience with data collection pipelines for computer vision, biometric systems, identity verification, or similar applied AI domains.
• Exposure to production ML observability, model monitoring, drift detection, or data quality monitoring tools.
• Familiarity with cloud platforms such as AWS, including S3, EC2, SageMaker, or similar tools for storage, compute, and model deployment.
• Experience working in cross-functional environments with machine learning engineers, software engineers, researchers, and product teams.
Company:
Jumio helps organizations to know and trust their customers online. Founded in 2010, the company is headquartered in Sunnyvale, USA, with a team of 201-500 employees. The company is currently Growth Stage.

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