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Machine Learning Engineer Opt Jobs in Yuba City, CA

Staffingine LLC

AI Engineer

Woodland, CA · On-site

AI Engineer Job Location: Woodland - California Job Type: Contract ... Design develop and deploy machine learning models and algorithms using Python Lead data science ...

Terabase Energy

Mechanical Engineer

Woodland, CA · On-site

$100K - $110K/yr

... learning from experienced technical leads. Location & Travel Onsite role in Woodland/Davis, CA. Up ... Familiarity with manufacturing processes such as sheet metal forming, machining, casting, weldments ...

Terabase Energy

Mechanical Engineer

Woodland, CA · On-site

$100K - $110K/yr

... partners and learning from experienced technical leads. Location & Travel · Onsite role in ... forming, machining, casting, weldments, and/or injection molding, with an interest in design-for ...

Terabase Energy

Mechanical Engineer

Woodland, CA · On-site

$100K - $110K/yr

... partners and learning from experienced technical leads. Location & Travel · Onsite role in ... forming, machining, casting, weldments, and/or injection molding, with an interest in design-for ...

Terabase Energy

Mechanical Engineer

Woodland, CA · On-site

$100K - $110K/yr

... learning from experienced technical leads. Location & Travel Onsite role in Woodland/Davis, CA. Up ... Familiarity with manufacturing processes such as sheet metal forming, machining, casting, weldments ...

Aerotek

CNC Lathe Operator

Auburn, CA

$58K - $95K/yr

Basic understanding of programming concepts related to CNC machines is a plus. * Ability to work ... The organization invests in modern facilities and equipment, supports continuous learning, and ...

Feather Falls Casino

Maintenance Engineer I

Oroville, CA · On-site

$19/hr

We encourage growth and learning. With your talent and our training and commitment, you will have ... Safely work with electrical wiring, general carpentry machinery and tools, and welding equipment.

All JobsMachine Learning Engineer Opt JobsMachine Learning Engineer Opt Jobs in Yuba City, CA

Machine Learning Engineer Opt information

See Yuba City, CA salary details

$33.3K

$136.1K

$204.5K

How much do machine learning engineer opt jobs pay per year?

As of Aug 10, 2026, the average yearly pay for machine learning engineer opt in Yuba City, CA is $136,079.00, according to ZipRecruiter salary data. Most workers in this role earn between $107,300.00 and $163,800.00 per year, depending on experience, location, and employer.

What is a machine learning engineer?

Machine Learning Engineers are specialized software engineers who design, build, and deploy machine learning models into production environments. They work at the intersection of software engineering and data science, transforming data-driven prototypes into scalable, reliable systems that organizations can use to make predictions or automate tasks. Their responsibilities include data preprocessing, choosing appropriate algorithms, model training, and ensuring the model's performance in real-world applications. Machine Learning Engineers often collaborate with data scientists, data engineers, and product teams to deliver intelligent solutions.

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

AspectMachine Learning Engineer OptData Scientist
Required CredentialsBachelor's or Master's in CS, AI, or related fields; certifications in ML toolsBachelor's or Master's in CS, Statistics, or related fields; data analysis certifications
Work EnvironmentDevelops, tests, and deploys ML models in production systemsAnalyzes data, builds models, and provides insights for decision-making
Employer & Industry UsageTech companies, AI startups, e-commerce, financeResearch institutions, tech firms, consulting, finance
Common Search & ComparisonOften compared for technical skills and deployment focusCompared for data analysis and business insights

Machine Learning Engineers Opt focus on deploying scalable ML models in production environments, while Data Scientists primarily analyze data and develop models for insights. Both roles require strong technical skills, but their core responsibilities differ in application and deployment.

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 a solid background in mathematics, statistics, and programming (especially Python), typically supported by a degree in computer science, engineering, or a related field. Familiarity with machine learning frameworks (such as TensorFlow, PyTorch), data processing tools, and cloud platforms, along with relevant certifications, is highly valuable. Strong problem-solving ability, collaboration, and effective communication are standout soft skills in this role. These skills and qualities ensure the successful development, deployment, and integration of machine learning solutions that drive business value.

What are some common challenges machine learning engineers face when deploying models to production environments?

Machine Learning Engineers often encounter challenges such as ensuring model scalability, handling data drift, and integrating models seamlessly with existing systems when deploying to production. Monitoring model performance in real time and retraining models as new data becomes available are also critical tasks. Collaboration with data engineers and DevOps teams is essential to address infrastructure and deployment hurdles while maintaining model accuracy and reliability.
What cities near Yuba City, CA are hiring for Machine Learning Engineer Opt jobs? Cities near Yuba City, CA with the most Machine Learning Engineer Opt job openings:
Machine Learning Engineer Opt jobs near you

AI Engineer

Staffingine LLC

Woodland, CA • On-site

Contractor

Re-posted 18 days ago

Job description

Job Title: AI Engineer
Job Location: Woodland - California
Job Type: Contract

Job Description:

  • Design develop and deploy machine learning models and algorithms using Python Lead data science projects from concept to implementation ensuring timely delivery and quality outcomes
  • Perform exploratory data analysis to identify patterns trends and opportunities for business improvement
  • Collaborate with stakeholders to define key performance indicators and success metrics Optimize existing data science workflows and models for better performance and accuracy
  • Document methodologies code and findings to ensure reproducibility and knowledge sharing
  • Support the integration of data science solutions into production environments
  • Drive continuous improvement initiatives by evaluating new tools and technologies relevant to Python and data science

Skills

Mandatory Skills : Python - Data Scienc