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Machine Learning Engineer Intern Jobs in Turlock, CA

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Machine Learning Engineer Intern information

See Turlock, CA salary details

$26.8K

$44.8K

$92.5K

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

As of Jun 25, 2026, the average yearly pay for machine learning engineer intern in Turlock, CA is $44,772.00, according to ZipRecruiter salary data. Most workers in this role earn between $34,200.00 and $48,400.00 per year, depending on experience, location, and employer.

What types of projects and tasks do Machine Learning Engineer Interns typically work on?

Machine Learning Engineer Interns are often involved in data preparation, feature engineering, model development, and performance evaluation under the guidance of senior engineers or data scientists. You may help implement and test machine learning algorithms, assist in cleaning and visualizing datasets, and contribute to code reviews or research tasks. Interns frequently collaborate with cross-functional teams, such as data scientists, software engineers, and product managers, to solve real-world problems and support ongoing projects. This hands-on experience provides valuable insights into the practical application of machine learning in a professional setting.

What is a Machine Learning Engineer Intern job?

A Machine Learning Engineer Intern is a temporary, entry-level role where individuals work with data scientists and engineers to develop, test, and optimize machine learning models. Interns typically assist in data preprocessing, feature engineering, model training, and evaluation. They may also work on improving existing algorithms, implementing research papers, or deploying models into production. This role provides hands-on experience with machine learning frameworks such as TensorFlow and PyTorch, as well as coding in Python and working with large datasets. The internship helps build practical skills and industry experience in artificial intelligence and data science.

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

To thrive as a Machine Learning Engineer Intern, you need a solid understanding of programming languages such as Python, knowledge of machine learning algorithms, and experience with data analysis, typically supported by coursework in computer science or related fields. Familiarity with tools like TensorFlow, PyTorch, scikit-learn, and version control systems such as Git is often required. Strong problem-solving abilities, attention to detail, and effective communication are valuable soft skills in this role. These competencies enable interns to contribute meaningfully to projects, collaborate efficiently with teams, and adapt in a fast-paced, tech-driven environment.

What cities near Turlock, CA are hiring for Machine Learning Engineer Intern jobs? Cities near Turlock, CA with the most Machine Learning Engineer Intern job openings:
Machine Learning Engineer Intern jobs near you
Infographic showing various Machine Learning Engineer Intern job openings in Turlock, CA as of June 2026, with employment types broken down into 75% Full Time, 24% Part Time, and 1% Temporary. Highlights an 94% Physical, 3% Hybrid, and 3% Remote job distribution, with an average salary of $44,772 per year, or $21.5 per hour.
General Manager- Construction Division

General Manager- Construction Division

PACIFIC AG RENTALS LLC

Merced, CA • On-site

Full-time

Posted 10 days ago

Job description

SUMMARY: The General Manager is responsible for leading a newly established business unit, with full ownership of profit and loss (P&L), strategic direction, operations, and team development. This role will drive market entry initiatives, including building and optimizing the rental fleet, designing scalable processes, and recruiting and developing a high-performing team.

The ideal candidate will establish a strong market presence and deliver exceptional service tailored to agriculture professionals, builders, and contractors. This leader will play a critical role in shaping the division’s growth, operational excellence, and long-term success.

ESSENTIAL DUTIES AND RESPONSIBILITIES include the following. Other duties may be assigned.

Operations:

Strategic Launch & Growth

  • Develop and execute a comprehensive go-to-market strategy, including target sectors, service offerings, and pricing models. 
  • Build and manage 12- and 24-month roadmaps covering fleet composition, branch expansion, and revenue targets. 

Fleet Acquisition & Optimization

  • Identify, procure, and commission construction equipment assets, including excavators, loaders, lifts, and compaction machinery. 
  • Monitor utilization, downtime, and maintenance KPIs; continuously optimize fleet performance to maximize uptime and ROI. 

Operations & Maintenance

  • Establish and standardize operating procedures (SOPs) for equipment dispatch, inspections, preventative maintenance, and repairs. 
  • Implement or enhance rental management systems to track fleet performance, billing, and regulatory compliance.

Customer Success & Business Development

  • Develop and maintain strong relationships with general contractors, subcontractors, and public sector agencies. 
  • Design and implement service packages, customer training programs, and loyalty initiatives to drive retention and growth.

Safety & Compliance

  • Develop and enforce safety protocols aligned with OSHA and applicable local regulations.
  • Lead safety audits, toolbox talks, and certification programs to ensure a safe and compliant work environment.

Customer Service:

  • Processes customer orders and quotes, resolves negotiations and issues.
  • Monitors fulfillment of rental orders to ensure a high level of customer satisfaction.
  • Assures the PAR and Star rentals are serviced or replaced quickly in the event of a breakdown or other problem.

General Requirements:

  • Demonstrate strong communication skills, maintaining effective relationships with management, coworkers, vendors, and customers.
  • Uphold a high standard of professionalism, representing the company positively at all times. 
  • Follow and promote all safety procedures, ensuring proper use of equipment and adherence to safety standards. 
  • Exhibit strong organizational skills, attention to detail, and the ability to work independently in a fast-paced environment. 
  • Effectively prioritize tasks, manage multiple responsibilities, and adapt to changing deadlines. 
  • Show initiative through self-motivation, continuous learning, and participation in company training and communication efforts. 
  • Foster a collaborative, team-oriented environment with a commitment to accountability and excellent customer service.
  • Possess a valid driver’s license with a satisfactory driving record and meet company insurability requirements.
  • Proven ability to build and scale operations from the ground up in a fast-paced environment. 
  • Strong leadership and team-building skills with a focus on accountability and performance. 
  • Excellent strategic thinking and execution capabilities. 
  • Demonstrated ability to manage multiple priorities and drive results under tight timelines. 
  • Strong communication and stakeholder management skills.

Core Competencies

  • Strategic & Entrepreneurial Mindset
  • Data-Driven Decision Making
  • Operational Excellence
  • Customer-First Orientation
  • Collaborative Leadership
  • Safety-First Culture

Education and/or Experience:  

  • 7+ years in equipment rental, heavy-civil construction, or construction services.
  • 3+ years’ P&L ownership, managing multi-million-dollar budgets.
  • Demonstrated success launching new business units or service lines.
  • Deep knowledge of construction equipment types, specs, and market pricing.
  • Strong analytical skills: comfortable with utilization dashboards, financial models, and forecasts.
  • Excellent people leader: hiring, coaching, performance management.
  • Willingness to travel up to 40% across branch network and customer sites.

PREFERRED

  • Bachelor’s degree in Business, Engineering, Supply Chain, or related field.
  • Familiarity with rental management systems.
  • .Multistate regulatory expertise (emissions, DOT, OSHA, EPA).

Computer Skills:

  • Must be computer literate in Microsoft Office Suite.
  • Rentalman a plus

TRAVEL: 

  • This job requires routine travel within close proximity of regular assigned work locations.
  • Base: Salinas, CA (other regional hubs considered).
  • Up to 40% to branches, project sites, vendor facilities, and industry events.

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