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Machine Learning Jobs in California, MO (NOW HIRING)

General Manufacturing

Machinist Intern

Columbia, MO · On-site

$16 - $18/hr

Our Machinist Intern will gain hands on experience with our production process which will in turn strengthen your machining abilities. Work under the supervision of a mechanical engineer and perform ...

General Manufacturing

Machinist Intern

Columbia, MO

$16 - $18/hr

Our Machinist Intern will gain hands on experience with our production process which will in turn strengthen your machining abilities. Work under the supervision of a mechanical engineer and perform ...

Jobtailor

Principal Applied Scientist

California, MO · On-site

$180 - $280/hr

Defines and drives enterprise artificial intelligence and machine learning strategy aligned with organizational priorities * Leads the design, validation, deployment, monitoring, and continuous ...

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Showing results 21-40

All JobsMachine Learning JobsMachine Learning Jobs in California, MO

Machine Learning information

See California, MO salary details

$22.8K

$38.1K

$78.8K

How much do machine learning jobs pay per year?

As of Aug 8, 2026, the average yearly pay for machine learning in California, MO is $38,110.00, according to ZipRecruiter salary data. Most workers in this role earn between $29,100.00 and $41,200.00 per year, depending on experience, location, and employer.

What is a machine learning?

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 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 jobs can I get with machine learning?

With a background in machine learning, you can pursue roles such as machine learning engineer, data scientist, AI researcher, or data analyst. These positions typically require skills in programming languages like Python or R, knowledge of algorithms, and experience with tools like TensorFlow or PyTorch.

What are the key skills and qualifications needed to thrive in a machine learning position?

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 cities near California, MO are hiring for Machine Learning jobs? Cities near California, MO with the most Machine Learning job openings:
Machine Learning jobs near you
Infographic showing various Machine Learning job openings in California, MO as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 23% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $38,110 per year, or $18.3 per hour.

Manager, Machine Learning Engineering, Web Ads Ranking

Jobtailor

California, MO • On-site

$180 - $240/hr

Other

Posted 3 days ago

New

Job description

Key Responsibilities
  • Lead a team of machine learning engineers and software engineers to build large-scale indexing, retrieval, and ranking systems that deliver the most relevant Snapchat ads and drive revenue
  • Collaborate with broad product teams in Snap to define the architecture and vision of the system, and grow the team beyond the initial scope
  • Build the evaluation framework that enables rapid iteration and high-quality decision-making, working closely with Data Science and Product partners to define success metrics and measure outcomes
  • Build and grow a high-performing team by raising the bar for engineering and ML excellence, developing talent, and helping shape Snap’s broader machine learning strategy
Requirements
  • Bachelor’s in a related technical field such as computer science or equivalent years of experience
  • 8+ years of post-Bachelor’s ML industry experience; or a Master’s degree in a technical field + 7+ year of post-grad ML experience; or a PhD in a related technical field + 4+ years of post-grad ML experience
  • 1+ year(s) of experience leading machine learning teams that focus on ranking or recommendations
  • Deep understanding of machine learning approaches, algorithms and their application to recommender, ads and search system
  • Experience on utilizing large language models for tasks like keyword extraction, description generation, and semantic relevance judging
  • Strong management and mentorship skills, fostering a collaborative and innovative team culture
  • Excellent verbal and written communication skills, with meticulous attention to detail
  • Ability to effectively collaborate with stakeholders at all levels, both internally and externally
  • Proficiency in managing and solving ambiguous problems
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