1

Machine Learning Jobs in Missouri (NOW HIRING)

Machinist Intern, 2nd shift Fike Corporation, a rapidly growing international manufacturer of pressure relief, explosion protection, fire suppression and detection equipment, has an opportunity for a ...

Overview Are you passionate about changing the world through machine learning and location intelligence? Join Esri as we leverage the IoT revolution and explosive growth of location data to help ...

$76K - $96.80K/yr

This role sits at the intersection of machine learning theory, probabilistic modeling, and applied research, focusing on building systems that represent domain knowledge through modular probabilistic ...

You will work on impactful machine learning applications, helping transform complex data into scalable and production-ready solutions. This role is ideal for professionals who enjoy solving ...

Machine Learning Operations (MLOps): Deploying and maintaining machine learning models in production environments, ensuring reliability and scalability. * Collaboration: Working closely with data ...

next page

Showing results 1-20

Machine Learning information

See Missouri salary details

$23.9K

$39.9K

$82.5K

How much do machine learning jobs pay per year?

As of Jun 3, 2026, the average yearly pay for machine learning in Missouri is $39,944.00, according to ZipRecruiter salary data. Most workers in this role earn between $30,500.00 and $43,100.00 per year, depending on experience, location, and employer.

What is a Machine Learning job?

A Machine Learning job involves developing algorithms and models that enable computers to learn from data and make predictions or decisions without explicit programming. Professionals in this field work with large datasets, design and train machine learning models, and optimize them for performance and accuracy. Roles often require knowledge of programming languages like Python or R, experience with frameworks like TensorFlow or PyTorch, and an understanding of statistics and data science principles. Machine learning engineers and data scientists collaborate with software developers and domain experts to build AI-driven solutions for various industries.

What are the key skills and qualifications needed to thrive in the Machine Learning position, and why are they important?

To thrive in Machine Learning, you need a solid background in mathematics, statistics, programming (especially Python or R), and a formal degree in computer science, data science, or a related field. Experience with popular ML frameworks (such as TensorFlow, PyTorch, or Scikit-learn), version control, and relevant certifications like AWS Certified Machine Learning are highly valued. Strong problem-solving skills, curiosity, clear communication, and the ability to work both independently and within multidisciplinary teams make candidates stand out. These skills and qualities are essential for developing robust models, staying updated with technology advancements, and collaborating effectively on complex projects.

What are some typical day-to-day responsibilities in a Machine Learning role?

As a machine learning professional, your daily tasks may include data preprocessing, developing and training models, evaluating performance metrics, and experimenting with algorithms to optimize results. You’ll often collaborate closely with data scientists, software engineers, and business stakeholders to align technical solutions with organizational goals. Regular activities can also involve deploying models to production, monitoring performance, and troubleshooting any issues that arise post-deployment. Staying up to date with recent ML research and participating in team discussions or code reviews are also common parts of the job.
What are the most commonly searched types of Machine Learning jobs in Missouri? The most popular types of Machine Learning jobs in Missouri are:
What are popular job titles related to Machine Learning jobs in Missouri? For Machine Learning jobs in Missouri, the most frequently searched job titles are:
What cities in Missouri are hiring for Machine Learning jobs? Cities in Missouri with the most Machine Learning job openings:
Infographic showing various Machine Learning job openings in Missouri as of May 2026, with employment types broken down into 75% Full Time, 24% Part Time, and 1% Contract. Highlights an 94% Physical, 1% Hybrid, and 5% Remote job distribution, with an average salary of $39,944 per year, or $19.2 per hour.

Staff Software Engineer, Machine Learning Infrastructure

WORK180 USA

California, MO • Remote

Full-time

Posted 8 days ago


Job description

A home is the biggest investment most people make, and yet, it doesn't come with a manual. That's why we're building the only app homeowners need to effortlessly manage their homes — knowing what to do, when to do it, and who to hire. With Thumbtack, millions of people care for what matters most, and pros earn billions of dollars through our platform.

And as one of the fastest-growing companies in a $600B+ industry — we must be doing something right.We are driven by a common goal and the deep satisfaction that comes from knowing our work supports local economies, helps small businesses grow, and brings homeowners peace of mind. We're seeking people who continually put our purpose first: advocating for pros and customers, embracing change, and choosing teamwork every day.At Thumbtack, we're creating a new era of home care. If making an impact and the chance to do good inspires you, join us.

Imagine what we'll build together.Thumbtack by the NumbersAvailable nationwide in every U.S. countyOver 85 million projects started on ThumbtackMore than 11 million 5-star reviews and countingPros earn billions on our platform1000+ employees$3.2 billion valuation (June, 2021)About the Machine Learning Infrastructure TeamAt Thumbtack, we're solving complex technical challenges across search, ranking, recommendations, pricing optimization, and spam detection. Our ML Infrastructure team leads the architectural vision and implementation of enterprise-wide machine learning capabilities, enabling teams to effectively experiment with and deploy ML models at scale.

We're building next-generation infrastructure that powers Thumbtack's AI-first future. For insights into our engineering challenges, visit our engineering blog.ChallengeAs a Staff ML Infrastructure Engineer, you'll drive the technical vision and strategic direction of Thumbtack's machine learning platform. You'll architect solutions that democratize ML capabilities across the organization while establishing best practices and technical standards.

Working closely with senior leadership, you'll shape our technical roadmap for generative AI adoption, feature platform evolution, and ML operational excellence.ResponsibilitiesDefine and drive the technical vision and architecture for Thumbtack's next-generation ML infrastructureLead cross-functional initiatives spanning engineering, data science, and product teams to build scalable, enterprise-grade ML systemsArchitect and oversee implementation of critical ML infrastructure components including model serving systems and RAG systems that can scale.Establish technical standards and best practices for ML engineering across the organizationMentor and provide technical leadership to engineering teams on ML infrastructure best practicesPartner with senior leadership to align ML infrastructure capabilities with business objectivesWhat you'll need If you don't think you meet all of the criteria below but still are interested in the job, please apply. Nobody checks every box, and we're looking for someone excited to join the team.8+ years of engineering experience with significant focus on distributed systems4+ years of hands-on experience building ML infrastructure or ML platforms at scaleDeep expertise in at least one major programming language; proficiency in our core stack (Go, Python) preferredProven track record of technical leadership on complex, cross-functional projectsStrong architectural skills with experience designing scalable, reliable distributed systemsDeep understanding of ML workflows, common frameworks, and operational challengesExperience mentoring teams and driving engineering excellenceTrack record of making strategic technical decisions with organization-wide impactBonus points if you haveExperience building AI platforms that support hundreds of models in productionDeep expertise with modern ML frameworks (PyTorch, TensorFlow) and MLOps toolsExperience implementing generative AI capabilities at enterprise scaleTrack record of building high-performing technical teamsExpertise with cloud-native architectures and major cloud providers (AWS, GCP)Experience driving technical strategy at fast-growing technology companiesThumbtack is a virtual-first company, meaning you can live and work from any one of our approved locations across the United States, Canada or the Philippines. Learn more about our virtual-first working model here.LI-RemoteBenefits & PerksVirtual-first working model coupled with in-person events20 company-wide holidays including a week-long end-of-year company shutdownLibrary (optional use collaboration & connection hub) in San FranciscoWiFi reimbursementsCell phone reimbursements (North America)Employee Assistance Program for mental health and well-beingLearn More About UsLife @ Thumbtack BlogVirtual-First is Here to StayFollow us on LinkedInMeet Our Pro Advisory BoardThumbtack embraces diversity.

We are proud to be an equal opportunity workplace and do not discriminate on the basis of sex, race, color, age, pregnancy, sexual orientation, gender identity or expression, religion, national origin, ancestry, citizenship, marital status, military or veteran status, genetic information, disability status, or any other characteristic protected by federal, provincial, state, or local law. We also will consider for employment qualified applicants with arrest and conviction records, consistent with applicable law.Thumbtack is committed to working with and providing reasonable accommodation to individuals with disabilities. If you would like to request a reasonable accommodation for a medical condition or disability during any part of the application process, please contact: recruitingops@thumbtack.com.If you are a California resident, please review information regarding your rights under California privacy laws contained in Thumbtack's Privacy policy available at https://www.thumbtack.com/privacy/.J-18808-Ljbffr