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Entry Level Machine Learning Engineer Jobs in Missouri

Job Summary The Machine Learning Engineer will tackle challenging problems and create scalable machine learning systems and platforms that make an impact on millions of users. This role will work ...

As a Machine Learning Integration Engineer, you will help rapidly prototype, mature, and monitor ML/CV solution that are integral to Turion's Space Domain Awareness data products. You will work on ...

As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior engineers and product leaders as part of your team. Together, you'll develop and enhance Instacart ...

As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior engineers and product leaders as part of your team. Together, you'll develop and enhance Instacart ...

Mentor and support other engineers through design reviews, feedback, and knowledge sharing * Build ... Machine Learning * Natural Language Processing * LLM-Based Systems * Software Architecture * Model ...

$139K - $168K/yr

Our team of Machine Learning Engineers have high impact by advancing the current Machine Learning systems, building performant and reliable LLM applications and collaborating with our product team to ...

$139K - $168K/yr

Our team of Machine Learning Engineers have high impact by advancing the current Machine Learning systems, building performant and reliable LLM applications and collaborating with our product team to ...

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Entry Level Machine Learning Engineer information

See Missouri salary details

$28.1K

$65.1K

$110.7K

How much do entry level machine learning engineer jobs pay per year?

As of Aug 18, 2026, the average yearly pay for entry level machine learning engineer in Missouri is $65,062.00, according to ZipRecruiter salary data. Most workers in this role earn between $48,300.00 and $73,600.00 per year, depending on experience, location, and employer.

What is an entry level machine learning engineer?

An Entry Level Machine Learning Engineer is responsible for developing, testing, and deploying machine learning models under the guidance of senior engineers. They work with datasets, implement algorithms, and optimize model performance. Their role often involves data preprocessing, feature engineering, and collaborating with data scientists and software engineers. Strong programming skills in Python, knowledge of ML frameworks like TensorFlow or PyTorch, and an understanding of statistics and algorithms are essential. This position serves as a foundation for building expertise in artificial intelligence and data-driven decision-making.

What are some typical projects or tasks an entry level machine learning engineer might work on?

As an Entry Level Machine Learning Engineer, you’ll often work on tasks such as data preprocessing, feature engineering, and assisting in training and evaluating models under the guidance of senior engineers or data scientists. You may help develop prototypes, automate data collection pipelines, and collaborate with software engineers to integrate machine learning solutions into products. Working in this role typically involves frequent collaboration in a team environment, participating in code reviews, and learning best practices for scalable model deployment. These foundational experiences are designed to build your technical expertise and set the stage for future growth within the field.

What are the key skills and qualifications needed to thrive as an entry level machine learning engineer?

To thrive as an Entry Level Machine Learning Engineer, you need a solid understanding of machine learning algorithms, programming languages like Python, and a degree in computer science, engineering, or a related field. Familiarity with tools such as TensorFlow, PyTorch, scikit-learn, and version control systems like Git is highly valuable, and completing online courses or certifications can further demonstrate your skills. Strong analytical thinking, attention to detail, and effective communication are important soft skills in this role. These abilities are essential because they enable you to build accurate models, work collaboratively with teams, and communicate insights to stakeholders.

What are the most commonly searched types of Machine Learning Engineer jobs in Missouri?

The most popular types of Machine Learning Engineer jobs in Missouri are:

What are popular job titles related to Entry Level Machine Learning Engineer jobs in Missouri?

For Entry Level Machine Learning Engineer jobs in Missouri, the most frequently searched job titles are:

What cities in Missouri are hiring for Entry Level Machine Learning Engineer jobs?

Cities in Missouri with the most Entry Level Machine Learning Engineer job openings:

Infographic showing various Entry Level Machine Learning Engineer job openings in Missouri as of August 2026, with employment types broken down into 76% Full Time, and 24% Contract. Highlights an 94% In-person, and 6% Remote job distribution, with an average salary of $65,062 per year, or $31.3 per hour.

Principal Machine Learning Engineer

iHerb

California, MO • On-site

$205 - $230/hr

Other

Posted 13 days ago


iHerb rating

7.5

Company rating: 7.5 out of 10

Based on 13 frontline employees who took The Breakroom Quiz


Job description

Overview

For A Better You At iHerb, we believe that living a healthy and balanced life should be easy and accessible to everyone. As a team member, we’ll empower you to live this promise each day as you make a truly global impact in your career. We strive for innovation while transforming and improving the online shopping experience for our customers. We believe that individually we are incredible, but together our growth is infinite. We are on a mission to make an impact on the global market, and the efforts of our people are paramount to helping us succeed. Whether you work in one of our logistics centers, technology hubs, corporate offices or from home, your role at iHerb will take you beyond what’s expected, turning challenge into change.

Job Summary

The Machine Learning Engineer will tackle challenging problems and create scalable machine learning systems and platforms that make an impact on millions of users. This role will work closely with business partners to provide machine intelligence driven solutions and products to simplify and enhance the customer experience and to automate core business processes. The Machine Learning Engineer will partner closely with Data Scientists, Applied Scientists, and Software Developers to ensure predictive models make business impact.

Responsibilities
  • Partner with the Data Platform team in a two-way exchange of best practices.
  • Adopt common patterns and build effective abstractions across different machine learning pipelines that simplify existing processes and accelerate modeling from problem inception to production deployment.
  • Develop horizontal solutions to robustly scale the team’s machine learning models and processes.
  • Build software with object-oriented design patterns and analysis (OOA and OOD) with an eye toward reducing technical debt and maintaining services at high availability.
  • Participate in requirements reviews, design reviews, and code reviews.
  • Research and prototype new technologies to support rapid business growth.
  • Interact cross-functionally with technical teams and work with data and applied scientists to identify opportunities to improve iHerb’s platform.
  • Note: This description may not cover all aspects of the role; other duties may be added as necessary.
Knowledge, Skills and Abilities
  • Required: Strong coding experience (e.g., Java, C#, Python).
  • Experience gathering data from multiple sources using big data technologies (Spark, Hadoop, BigQuery, Athena, etc.).
  • Experience building machine learning infrastructure following robust software engineering practices.
  • Knowledge of modern software development tools, systems, and practices (design patterns, CI/CD, Git, unit testing, smoke testing, integration testing, job schedulers, cloud technologies like AWS Lambda and Google Functions, etc.).
  • Exposure to all aspects of the software development life-cycle.
  • Experience with messaging technologies (Kafka, Google Pub/Sub, Kinesis, RabbitMQ, etc.).
  • Experience with Docker and Kubernetes.
  • High degree of accuracy and attention to detail; excellent organization and multitasking abilities.
Equipment Knowledge
  • Experience with Microsoft Office Suite (Word, Excel, PowerPoint).
  • Experience with Google Workspace (Gmail, Drive, Docs, Sheets, Forms) preferred.
Experience Requirements

Generally requires a minimum of two (2) years relevant experience in applied machine learning or machine learning systems/infrastructure, and one (1) year of relevant work experience in machine learning engineering or related fields (e.g., as a Machine Learning Engineer, ML Ops engineer, or related position).

Education Requirements

Bachelor’s Degree in Computer Science, Electrical Engineering, or related field required; Master’s Degree preferred.

Judgment / Reasoning

Able to identify, troubleshoot and resolve problems quickly using sound judgment and diplomacy. Ability to use judgment and reason to escalate issues as required, in a timely manner.

Physical Demands

The physical demands described are representative of those required to perform the essential functions. The team member is regularly required to talk and hear, and to sit, walk, climb stairs, use hands and fingers, bend, stoop and reach. Reaching above shoulder heights or below the waist may be required. May occasionally lift or move up to 25 pounds. Proper lifting techniques required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

Work Environment

The work environment is typically moderate in noise. The environment can be hectic and fast-paced with multi-level distractions. Professional, yet casual work environment in an Office / Warehouse setting. Ability to work extended hours as required.

Compensation

The expected salary range for this role is $205,000.00 - $230,000.00 USD. The actual base pay offered will be determined by factors such as the candidate’s relevant experience, education, geographic location, and internal equity.

EEO

iHerb is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status. iHerb provides equal employment opportunities to all applicants for employment and prohibits discrimination and harassment.

Notes

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status.

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