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Machine Learning Jobs in Springfield, MO (NOW HIRING)

Bass Pro Shops

Manager, BI - Onsite

Springfield, MO · On-site

Understanding of machine learning and predictive analytics. * Project management certification (e.g., PMP, Agile) is a plus. TRAVEL REQUIREMENTS: * N/A PHYSICAL REQUIREMENTS: * Regularly sits and ...

Next Level Solutions

Senior Business Analyst

Springfield, MO · On-site +1

$78K - $101K/yr

Familiarity with machine learning, AI, or predictive analytics. Interpersonal Skills: * Demonstrated ability to mentor and peer-review junior analysts with actionable feedback. * Strategic problem ...

Marmon

Production Operator I

Springfield, MO · On-site

$15.25 - $18.50/hr

We're committed to making a positive impact on the world, providing you with diverse learning and ... General Labor, Machine Operator, Maker/Packer, Assembler and Line Operator. About The Company: The ...

Marmon Holdings, Inc.

Production Operator I

Springfield, MO · On-site

$15.25 - $18.50/hr

We're committed to making a positive impact on the world, providing you with diverse learning and ... General Labor, Machine Operator, Maker/Packer, Assembler and Line Operator. About The Company: The ...

Ava R-I School District

Substitute Teachers

Ava, MO · On-site

Develops lesson plans and instructional materials and translates lesson plans into learning ... Equipment Uses standard office equipment such as personal computers, printer, copy and fax machines ...

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All JobsMachine Learning JobsMachine Learning Jobs in Springfield, MO

Machine Learning information

See Springfield, MO salary details

$22.7K

$38K

$78.5K

How much do machine learning jobs pay per year?

As of Jul 30, 2026, the average yearly pay for machine learning in Springfield, MO is $37,990.00, according to ZipRecruiter salary data. Most workers in this role earn between $29,000.00 and $41,000.00 per year, depending on experience, location, and employer.

What engineer makes $500,000 a year?

Senior machine learning engineers with extensive experience, advanced skills in deep learning and data modeling, and often working in high-paying industries such as finance or technology, can earn salaries of $500,000 or more annually. Achieving this level typically requires a strong educational background, specialized certifications, and a track record of impactful projects.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-paying position in artificial intelligence, such as senior machine learning engineer or AI research director, often requiring advanced skills in deep learning, data analysis, and programming with tools like Python and TensorFlow. Such roles usually demand extensive experience, a strong educational background, and sometimes leadership responsibilities in developing or deploying AI systems.

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 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 jobs can I get with machine learning?

With machine learning skills, you can pursue roles such as machine learning engineer, data scientist, AI researcher, or data analyst. These positions typically require knowledge of programming languages like Python or R, experience with machine learning frameworks, and strong analytical skills. They are found across industries including technology, finance, healthcare, and automotive sectors.

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.

Which 3 jobs will survive AI?

Machine Learning roles such as data scientists, AI specialists, and machine learning engineers are expected to persist as AI advances, due to their need for complex problem-solving, domain expertise, and ongoing model development. These jobs require advanced skills in programming, statistics, and understanding of AI tools, making them less susceptible to automation. Continuous learning and staying updated with new algorithms and frameworks are essential for these positions.
What are popular job titles related to Machine Learning jobs in Springfield, MO? For Machine Learning jobs in Springfield, MO, the most frequently searched job titles are:
What job categories do people searching Machine Learning jobs in Springfield, MO look for? The top searched job categories for Machine Learning jobs in Springfield, MO are:
What cities near Springfield, MO are hiring for Machine Learning jobs? Cities near Springfield, MO with the most Machine Learning job openings:
Machine Learning jobs near you
Infographic showing various Machine Learning job openings in Springfield, MO as of July 2026, with employment types broken down into 1% As Needed, 73% Full Time, 23% Part Time, 1% Temporary, and 2% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $37,990 per year, or $18.3 per hour.

Machine Learning Engineer

Bespoke Labs

Springfield, MO • On-site

Full-time

Re-posted 12 days ago

Job description

About Us

We are AI researchers and builders who understand how to curate data and RL environments that truly improve models. We curated OpenThoughts, one of the best open reasoning datasets, and have trained SOTA models such as Bespoke-MiniCheck and Bespoke-MiniChart.

We are embarked on a journey to build Environments that are entire digital worlds that can be used to push the frontier of agents.

What You'll Be Working On

You will work directly with our research team on RL environment and task creation for agent training. This means designing observation spaces, action spaces, reward signals, and success criteria for new environments — and building the infrastructure that makes world-scale RL training possible. This is a high-ownership role; you will be building novel systems, not maintaining legacy ones.

Must-Have Skills

3+ years of ML engineering experience — model training, fine-tuning, or post-training pipelines in research or production

Strong Python and deep learning proficiency (PyTorch preferred; familiar with training loops, optimizers, mixed precision)

Hands-on experience with LLM post-training — SFT, RLHF, PPO, DPO, or reward model training — and understanding of how training data quality affects model behavior

Familiarity with RL frameworks (Gymnasium, dm_env) and the ability to design or modify reward functions for agent training objectives

Experience running experiments at scale on cloud or HPC (AWS, GCP, SLURM, or Ray)

Solid understanding of evaluation methodology — held-out sets, benchmark design, avoiding train/eval contamination

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