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Machine Learning Engineer Jobs in California, MO

About the Job The Varsity Tutors Live Learning Platform has thousands of students looking for ... transfer, machine design, manufacturing processes, and control systems. Ability to explain free ...

... machine dynamics, and advanced engineering coursework. * Conceptual Teaching & Problem-Solving ... Ability to adapt to different learning styles and student needs. Ways To Connect With Students * 1 ...

Statics Tutor

Columbia, MO · Remote

$18 - $40/hr

... machine design, and construction engineering. * Curriculum Awareness & Adaptive Instruction ... Ability to adapt to different learning styles and student needs. Ways To Connect With Students * 1 ...

Senior Data Analyst

Columbia, MO · Remote

$81K - $103K/yr

Experience with machine learning algorithmsKnowledge of Equipment Sales and Equipment Rental ... Bachelor's degree in Math, Engineering, Statistics, Business Intelligence or other technical field.

Senior Data Analyst

Columbia, MO · On-site

$81K - $103K/yr

Experience with machine learning algorithmsKnowledge of Equipment Sales and Equipment Rental ... Bachelor's degree in Math, Engineering, Statistics, Business Intelligence or other technical field.

Curiosity, a positive attitude, and a drive to continue learning, in particular building AI skillset Key Responsibilities * Provide technical leadership and mentorship to a team of engineers ...

New

As a Software Engineer (C/C++), you will work directly on the core of our database and data ... learning and development. * Rewarding Compensation: We value your contributions. Expect a ...

As a Software Engineer (C/C++), you will work directly on the core of our database and data ... learning and development. * Rewarding Compensation: We value your contributions. Expect a ...

As a Software Engineer (C/C++), you will work directly on the core of our database and data ... learning and development. * Rewarding Compensation: We value your contributions. Expect a ...

We're hiring an Analytics Engineer to support our Corporate HQ in Columbia, MO and we're looking ... Thrives on learning and growth opportunities; desires new challenges and enjoys a good puzzle

We're hiring an Analytics Engineer to support our Corporate HQ in Columbia, MO and we're looking ... Thrives on learning and growth opportunities; desires new challenges and enjoys a good puzzle

... engineering expertise through innovative thermal products and systems, enabling our customers to ... You'll troubleshoot and repair simple machinery, perform preventative maintenance, and fabricate ...

New

Engineer I

Columbia, MO · On-site

$65K - $80K/yr

Perform drafting of engineering drawings relating to building mechanical and/or electrical systems from sketches and oral instructions. Measure existing facility and perform field observation of ...

Software Engineer

Jefferson City, MO · On-site

$85K - $120K/yr

Software Engineer At FCS Financial, we're more than a workplace, we're OneTeam. We believe in ... Ability to manage multiple projects simultaneously and meet deadlines Exposure to machine learning ...

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Machine Learning Engineer information

See California, MO salary details

$28.2K

$115.2K

$173.2K

How much do machine learning engineer jobs pay per year?

As of Jul 15, 2026, the average yearly pay for machine learning engineer in California, MO is $115,242.00, according to ZipRecruiter salary data. Most workers in this role earn between $90,800.00 and $138,700.00 per year, depending on experience, location, and employer.

What engineers make $500,000?

Senior machine learning engineers with extensive experience, advanced skills in deep learning and data science, and often working in high-demand industries or companies can earn $500,000 or more annually. Compensation typically includes base salary, bonuses, and stock options, especially in tech giants or startups with significant funding.

What do machine learning engineers do?

Machine learning engineers develop algorithms and models that enable computers to learn from data and make predictions or decisions. They often work with large datasets, use programming languages like Python or Java, and utilize tools such as TensorFlow or PyTorch to build, test, and deploy machine learning systems in production environments.

What are Machine Learning Engineers?

Machine Learning Engineers are specialized software engineers who design, build, and deploy machine learning models and systems. They work at the intersection of software engineering and data science, transforming data-driven prototypes into scalable, production-ready solutions. Their responsibilities include data preprocessing, model selection, algorithm implementation, and optimizing models for performance and efficiency. Machine Learning Engineers often collaborate with data scientists, software developers, and other stakeholders to integrate AI technologies into products and services.

What are the key skills and qualifications needed to thrive as a Machine Learning Engineer, and why are they important?

To thrive as a Machine Learning Engineer, you need strong programming skills (particularly in Python), a solid background in mathematics and statistics, and a degree in computer science or a related field. Experience with machine learning frameworks (such as TensorFlow or PyTorch), data processing tools, and cloud platforms is typically required. Problem-solving ability, effective communication, and adaptability are crucial soft skills for collaborating with teams and translating complex models into practical solutions. These competencies ensure the development, deployment, and continual improvement of machine learning systems that drive business value.

Which 5 jobs will survive AI?

Machine Learning Engineers are likely to continue to be in demand as AI advances, as they develop and refine algorithms, models, and systems. Roles that require complex problem-solving, creativity, and domain expertise—such as healthcare professionals, data scientists, software developers, cybersecurity specialists, and AI ethics officers—are also expected to persist due to their reliance on human judgment and specialized knowledge. These jobs often involve skills that are difficult for AI to fully replicate or replace.

What Does a Machine Learning Engineer Do?

A machine learning engineer maintains production systems and often works with other engineers. In this career, you work with software development methodology, use modern software development tools, and use agile practices. You also play a role in software design and architecture, so you may occasionally work with a programmer. An engineer may help to predict how a model should perform or seek out regression issues by using different test types and algorithms. To fulfill your duties and responsibilities, you work on a computer and use an array of skills and programs to carry out these tests.

What engineers make $300,000 a year?

Senior machine learning engineers and data scientists with extensive experience, advanced skills in deep learning, and proficiency with tools like TensorFlow or PyTorch can earn $300,000 or more annually, especially in high-cost-of-living areas or top tech companies. Compensation often includes base salary, bonuses, and stock options, reflecting their expertise and impact on business outcomes.

What are some common challenges faced by Machine Learning Engineers when deploying models to production?

Machine Learning Engineers often encounter challenges such as ensuring model scalability, maintaining data consistency between training and production environments, and monitoring model performance over time. Integrating models into existing software infrastructure may require collaboration with DevOps and software engineering teams to address issues like latency, version control, and resource allocation. Additionally, ongoing model maintenance is crucial to prevent model drift and ensure that predictions remain accurate as new data becomes available.

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

AspectMachine Learning EngineerData Scientist
CredentialsBachelor's or Master's in CS, Data Science, or related; experience with ML frameworksBachelor's or Master's in Statistics, Data Science, or related; strong analytical skills
Work EnvironmentDevelops scalable ML models, deploys algorithms into productionAnalyzes data, builds models, interprets data insights
Industry UsageTech companies, startups, AI-focused firmsFinance, healthcare, marketing, research organizations

While both roles work with data and machine learning, Machine Learning Engineers focus on building and deploying scalable ML models in production environments. Data Scientists primarily analyze data, create models, and generate insights. The roles often overlap but differ in their core responsibilities and focus areas.

What cities near California, MO are hiring for Machine Learning Engineer jobs? Cities near California, MO with the most Machine Learning Engineer job openings:
Infographic showing various Machine Learning Engineer job openings in California, MO as of July 2026, with employment types broken down into 90% Full Time, 8% Part Time, and 2% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $115,242 per year, or $55.4 per hour.
Mechanical Engineering Tutor

Mechanical Engineering Tutor

Varsity Tutors

Columbia, MO • Remote

$18 - $40/hr

Part-time

Re-posted 10 days ago


Varsity Tutors rating

5.7

Company rating: 5.7 out of 10

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Job description

About the Job
The Varsity Tutors Live Learning Platform has thousands of students looking for online Mechanical Engineering tutors nationally. As a tutor on the Varsity Tutors Platform, you'll have the flexibility to set your own schedule, earn competitive rates, and make a real impact on students' academic success and understanding. All from the comfort of your home.
Why Join Our Platform?
  • Earn incrementally higher pay for each session with the same student, reaching up to $40/hour.
  • Get paid up to twice per week, ensuring fast and reliable compensation for the tutoring sessions you conduct and invoice.
  • Set your own hours and tutor as much as you'd like.
  • Tutor remotely using our purpose-built Live Learning Platform. No commuting required.
  • Get matched with students best-suited to your teaching style and expertise.
  • Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson generation, and engagement features, helping you save prep time and focus on impactful teaching.
  • We handle the logistics—you just invoice for your tutoring sessions, and we take care of payments.

What We Look For In a Mechanical Engineering Tutor
  • Advanced Subject Mastery: Deep knowledge of statics, dynamics, mechanics of materials, thermodynamics, fluid mechanics, heat transfer, machine design, manufacturing processes, and control systems. Ability to explain free body diagrams, stress-strain relationships, Bernoulli equation, and heat conduction principles while preparing students for mechanical engineering coursework, the FE examination, and professional practice.
  • Conceptual Teaching & Problem-Solving: Skilled at breaking down free body diagram construction, stress analysis, and thermal system design. Guides students through solving static equilibrium problems, analyzing beam deflection, designing heat exchangers, computing fluid flow parameters, and selecting machine components. Emphasizes systematic engineering problem-solving approaches and connects mechanical engineering to automotive, aerospace, energy systems, and manufacturing applications.
  • Curriculum Awareness & Adaptive Instruction: Familiar with mechanical engineering curricula and common challenges such as three-dimensional equilibrium problems, Mohr circle analysis, and thermodynamic cycle analysis. Adapts instruction using engineering handbooks, computational tools, and design project guidance to support undergraduate mechanical engineering students from introductory mechanics through advanced thermal-fluid systems and machine design courses.
  • Effective Teaching Methods: Ability to identify concepts students commonly struggle with, explain material using multiple approaches, and adapt instruction to meet individual learning needs and styles.
  • Strong communication skills and a friendly, engaging teaching style.
  • Ability to adapt to different learning styles and student needs.

Ways To Connect With Students
  • 1-on-1 Online Tutoring - Provide personalized instruction to individual students.
  • Instant Tutoring - Accept on-demand tutoring requests whenever you're available.

About Varsity Tutors And 1-on-1 Online Tutoring
Our mission is to transform the way people learn by leveraging advanced technology, AI, and the latest in learning science to create personalized learning experiences. Through 1-on-1 Online Tutoring, students receive customized instruction that helps them achieve their learning goals. Our platform is designed to match students with the right tutors, fostering better outcomes and a passion for learning.
Please note: Varsity Tutors does not contract in: Alaska, California, Colorado, Delaware, Hawaii, Maine, New Hampshire, North Dakota, Vermont, West Virginia or Puerto Rico.

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