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Entry Level Ai Engineer Jobs in Nevada (NOW HIRING)

Manufacturing Engineer II

Reno, NV · On-site

$65K - $120K/yr

Achieving this requires collaboration with entry level engineers and multiple teams (Sales, Production, Warehouse, Materials, Quality, partner companies) while receiving broad exposure to different ...

Generate subsurface maps and cross-sections and collaborate with engineering and environmental ... From AI-supported solutions and predictive technologies to geophysics and traditional exploration ...

Summary The Pricing Analyst I is an entry level position that is responsible for pricing analysis ... Bachelor's in Economics, Engineering, Mathematics, Finance, Accounting, or any other quantitative ...

New

Summary The Revenue Management Analyst I is an entry level position that is responsible for the day ... In Economics, Engineering (any), Mathematics, Finance, Accounting, or any other quantitative focus ...

Summary The Revenue Management Analyst I is an entry level position that is responsible for the day ... In Economics, Engineering (any), Mathematics, Finance, Accounting, or any other quantitative focus.

Entry Level Ai Engineer information

See Nevada salary details

$30.5K

$70.6K

$120.2K

How much do entry level ai engineer jobs pay per year?

As of Aug 22, 2026, the average yearly pay for entry level ai engineer in Nevada is $70,632.00, according to ZipRecruiter salary data. Most workers in this role earn between $52,400.00 and $79,900.00 per year, depending on experience, location, and employer.

What does an entry level AI engineer do?

An Entry Level AI Engineer assists in designing, developing, and deploying artificial intelligence models and systems under the guidance of senior engineers. Their tasks often include collecting and preprocessing data, implementing machine learning algorithms, and testing models to ensure accuracy and efficiency. They also collaborate with software developers and data scientists to integrate AI solutions into products or services, all while continuing to learn and develop their technical skills on the job.

What types of projects do entry level AI engineers typically work on, and how do they contribute to larger team goals?

Entry-level AI engineers often start by assisting with data preprocessing, building and testing machine learning models, and supporting the deployment of AI solutions. They may also help maintain existing models, write scripts to automate workflows, and contribute to documentation. These tasks are crucial for larger team projects, as they ensure data quality and provide foundational components for more advanced AI systems. Collaboration with data scientists, software engineers, and product managers is common, offering valuable exposure to cross-functional teamwork and opportunities for skill development.

What are the key skills and qualifications needed to thrive as an entry level AI engineer, and why are they important?

To thrive as an Entry Level AI Engineer, you need a solid background in computer science, mathematics (especially linear algebra and statistics), and programming languages like Python, often supported by a relevant degree. Familiarity with machine learning frameworks (such as TensorFlow or PyTorch), version control systems (like Git), and sometimes entry-level certifications in AI or data science is valuable. Strong problem-solving abilities, eagerness to learn, and teamwork skills help you stand out in this collaborative and evolving field. These skills and qualities are crucial to effectively develop AI models, adapt to new technologies, and contribute meaningfully to innovative projects.

Can you be an entry level AI engineer with no experience?

Entry level AI engineer positions often require some foundational knowledge of programming, machine learning concepts, and relevant tools like Python or TensorFlow. While prior experience is not always mandatory, demonstrating skills through projects, certifications, or coursework can improve chances of securing an entry level role.

Is AI taking entry level AI engineering jobs?

Entry level AI engineering jobs are growing as demand for AI skills increases, but competition remains high. Success in these roles typically requires knowledge of programming languages like Python, familiarity with machine learning frameworks, and a strong foundation in mathematics. Entry-level positions often focus on data preprocessing, model training, and assisting senior engineers.

Is an entry level AI engineer an entry-level job?

An entry-level AI engineer position is typically considered an entry-level job, suitable for candidates with limited professional experience in AI, machine learning, or related fields. These roles often require foundational skills in programming, data analysis, and basic understanding of AI tools and frameworks. They are designed to provide on-the-job training and skill development for newcomers to the field.

What are the most commonly searched types of Ai Engineer jobs in Nevada?

The most popular types of Ai Engineer jobs in Nevada are:

What are popular job titles related to Entry Level Ai Engineer jobs in Nevada?

For Entry Level Ai Engineer jobs in Nevada, the most frequently searched job titles are:

What job categories do people searching Entry Level Ai Engineer jobs in Nevada look for?

The top searched job categories for Entry Level Ai Engineer jobs in Nevada are:

What cities in Nevada are hiring for Entry Level Ai Engineer jobs?

Cities in Nevada with the most Entry Level Ai Engineer job openings:

Infographic showing various Entry Level Ai Engineer job openings in Nevada as of August 2026, with employment types broken down into 77% Full Time, 20% Part Time, and 3% Contract. Highlights an 70% Physical, 3% Hybrid, and 27% Remote job distribution, with an average salary of $70,632 per year, or $34 per hour.

Manufacturing Engineer II

Hamilton Medical, Inc.

Reno, NV • On-site

$65K - $120K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 13 days ago


Hamilton Medical rating

9.7

Company rating: 9.7 out of 10

Based on 8 frontline employees who took The Breakroom Quiz


Job description

Hamilton Medical was founded in 1983 with a clear mission: to enhance the lives of patients on respirators and support the caregivers who serve them. Our focus is on developing ventilation technologies that prioritize safety, effectiveness, and lung protection. We are dedicated to easing the burden on healthcare professionals who work tirelessly every day, helping critically ill patients recover and regain their health. We are committed to helping medical teams deliver the best respiratory care to anyone, anywhere.

Hamilton Medical, Inc. is seeking a Manufacturing Engineer 2 who will improve existing operations and develop new manufacturing processes in the pursuit of reducing product cost, increasing quality and process yield, and improving the reliability and stability of our processes by using their prior experience working with quality control systems, preferably in electronics or medical devices, to guide their decision making and ensure that compliance with government regulations is maintained. This role is expected to take on challenging and impactful problems that affect profitability of the business, our ability to supply product, and overall customer satisfaction of the final product. Achieving this requires collaboration with entry level engineers and multiple teams (Sales, Production, Warehouse, Materials, Quality, partner companies) while receiving broad exposure to different areas of the business. A strong candidate is efficient at problem solving, appropriately challenges the requirements, creates simple solutions, shares knowledge, and is a positive force for progress.

Responsiblites include but are not limited too:

  • Evaluates and develops manufacturing processes or process improvements by gathering KPI and metric data for production processes, researching, designing, modifying, and testing manufacturing methods and equipment, conferring with equipment vendors, and soliciting observations from manufacturing technicians.
  • Trains and guides manufacturing technicians in process improvements and requirements.
  • Improves manufacturing efficiency by analyzing and planning workflow, space requirements, equipment layout, and assisting QA and Purchasing with qualifying new vendors.
  • Investigates root cause of nonconformances to design or process specifications, develops and implements corrective actions
  • Responsible for drafting production process instructions, qualification documents, and other documents required for assigned production line, and for maintaining the BOMs, Routes, and other D365 engineering controlled settings for assigned production lines.
  • Assures product and process quality by designing testing methods for testing finished product, raw material, and process capabilities, and establishing manufacturing standards for manufacturing processes.
  • Performs Risk Analysis and Mitigation including identifying critical risks and mitigating them.
  • Drafts and executes verifications and validations for production processes and equipment.
  • Provides manufacturing decision-making information by calculating production, labor, and material costs; reviewing production schedules; estimating future requirements.
  • Prepares product and process reports by collecting, analyzing, and summarizing information and trends.
  • Provides technical information support by answering questions and technical support be fulfilling requests for assistance.
  • Provides hands on technical support for manufacturing process and equipment, as required.
  • Project management including scoping, planning, and executing projects, including coordinating activities and task monitoring.
  • Other duties as assigned.

  • Independently uses first-principles thinking. Shows creative problem solving when presented with challenges but may require occasional help.
  • Shows initiative in pursuing assigned tasks and requires no prompting to complete tasks.
  • Working knowledge of manufacturing processes and assembly principles
  • Ability to recognize abnormalities in production/process metrics and respond
  • Capable of working with external suppliers as needed to resolve in-house problems (e.g. supplier quality issues)
  • Proficient problem solver familiar with root cause analysis techniques (5 Whys, Fishbone, etc.) and investigation including determining, analyzing, or researching the root cause of an identified problem
  • Excellent communication and documentation skills
  • Demonstrated willingness to support projects or production lines during challenging schedules

  • 5 plus years technical experience in manufacturing
  • Bachelor's degree in Manufacturing Engineering or a closely related Engineering Discipline including Industrial, Mechanical, or Biomedical Engineering required
  • Proficient in change management systems (ECO processes), and document control
  • Proficient in using data analysis programs and Microsoft Suite, experience with VBA, C++, G-CODE, JavaScript, or similar programming preferred
  • 1 plus year Experience using CAD (computer-aided design) software
    • Experience with PLC programming (e.g., Allen-Bradley, Siemens, Mitsubishi) and familiarity with industrial communication protocols (EtherNet/IP, Modbus, etc.) preferred
    • Experience with robotics, automated assembly equipment, or CNC machinery, including setup, programming, and troubleshooting, preferred. 

  • Established, stable, and reliable company.
  • Comprehensive benefits package: medical, dental, vision insurance; paid vacation and sick time; disability insurance; 401(k); tuition reimbursement; and more.
  • Engaging and innovative design projects.
  • Strong opportunities for professional growth.
  • Commitment to sustainable design practices.
  • Personal Protective Equipment (PPE) may be required (provided by employer).
  • Drug and background screenings required.


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