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Machine Learning Engineer Jobs in Reno, NV (NOW HIRING)

Geochemist

Reno, NV · On-site

Must possess Master of Science or Engineering in a relevant subject. A Doctorate degree in a relevant subject is advantageous. * Must be able to use and acquire knowledge of a variety of computer ...

CNC Inspector - Machine Shop

Reno, NV · On-site

$23 - $40/hr

Ensure machined parts meet exact engineering specifications detailed on blueprints and engineering ... Capable of learning and utilizing quality inspection software for data input. Qualifications

Ensure machined parts meet exact engineering specifications detailed on blueprints and engineering ... Capable of learning and utilizing quality inspection software for data input. * Expert Knowledge of ...

Data Science Tutor

Reno, NV · Remote

$40/hr

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

Python Tutor

Reno, NV · Remote

$40/hr

Emphasizes readable, maintainable code and connects Python to machine learning, web scraping, scientific computing, and DevOps applications. * Curriculum Awareness & Adaptive Instruction: Familiar ...

Using predictive analytics and advanced machine learning trained on billions of signals to power ... What You Bring * 5+ years in product marketing, solutions engineering, product management, or a ...

Senior Manufacturing Engineer

Reno, NV · On-site

$90K - $124K/yr

... machine and process architecture. This role presents a unique opportunity to influence product ... It is a rare and valuable learning experience for manufacturing engineers to be embedded so deeply ...

Improving design of process machinery. * Applying theory to real world applications. * Monitoring ... to complete online learning requirements for -specific competencies, access online forms and ...

... data science, engineering, and advanced mathematics. * Conceptual Teaching & Problem-Solving ... machine learning, and quantum mechanics applications. * Curriculum Awareness & Adaptive Instruction:

About the Job The Varsity Tutors Live Learning Platform has thousands of students looking for ... transfer, machine design, manufacturing processes, and control systems. Ability to explain free ...

Manufacturing Engineer I

Sparks, NV · On-site

$74K - $96K/yr

Learning & demonstrating solid troubleshooting skills and ability to quickly solve unknown problems ... Must be able to learn and perform machine and process troubleshooting and apply root cause analysis

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Machine Learning Engineer information

See Reno, NV salary details

$31.4K

$128.4K

$192.9K

How much do machine learning engineer jobs pay per year?

As of Jun 18, 2026, the average yearly pay for machine learning engineer in Reno, NV is $128,391.00, according to ZipRecruiter salary data. Most workers in this role earn between $101,200.00 and $154,500.00 per year, depending on experience, location, and employer.

Is ML full of coding?

Machine Learning Engineers typically do a significant amount of coding, especially in languages like Python or R, to develop algorithms, preprocess data, and build models. Strong programming skills are essential, along with knowledge of frameworks such as TensorFlow or PyTorch, but the role also involves data analysis, model evaluation, and collaboration with teams. Coding is a core component of the job, though some tasks may involve model deployment and optimization that require different skills.

What engineers make $500,000?

Senior machine learning engineers with extensive experience, advanced skills in deep learning and data science, and often working in high-paying industries such as finance or technology can earn $500,000 or more annually. Compensation typically includes base salary, bonuses, and stock options, especially at large tech companies or startups with significant funding.

What do machine learning engineers do?

Machine learning engineers develop algorithms and models that enable computers to learn from data and make predictions or decisions. They often work with large datasets, use programming languages like Python or Java, and utilize tools such as TensorFlow or PyTorch to build, test, and deploy machine learning systems in production environments.

What are Machine Learning Engineers?

Machine Learning Engineers are specialized software engineers who design, build, and deploy machine learning models and systems. They work at the intersection of software engineering and data science, transforming data-driven prototypes into scalable, production-ready solutions. Their responsibilities include data preprocessing, model selection, algorithm implementation, and optimizing models for performance and efficiency. Machine Learning Engineers often collaborate with data scientists, software developers, and other stakeholders to integrate AI technologies into products and services.

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 strong programming skills (particularly in Python), a solid background in mathematics and statistics, and a degree in computer science or a related field. Experience with machine learning frameworks (such as TensorFlow or PyTorch), data processing tools, and cloud platforms is typically required. Problem-solving ability, effective communication, and adaptability are crucial soft skills for collaborating with teams and translating complex models into practical solutions. These competencies ensure the development, deployment, and continual improvement of machine learning systems that drive business value.

Which 5 jobs will survive AI?

Machine Learning Engineers are likely to continue to be in demand as they develop, implement, and maintain AI systems, requiring specialized skills in programming, data analysis, and model optimization. Roles that involve complex problem-solving, creativity, and human interaction—such as healthcare professionals, educators, skilled tradespeople, and certain managerial positions—are also expected to persist despite AI advancements. These jobs typically require emotional intelligence, adaptability, and domain expertise that AI cannot easily replicate.

What Does a Machine Learning Engineer Do?

A machine learning engineer maintains production systems and often works with other engineers. In this career, you work with software development methodology, use modern software development tools, and use agile practices. You also play a role in software design and architecture, so you may occasionally work with a programmer. An engineer may help to predict how a model should perform or seek out regression issues by using different test types and algorithms. To fulfill your duties and responsibilities, you work on a computer and use an array of skills and programs to carry out these tests.

What are some common challenges faced by Machine Learning Engineers when deploying models to production?

Machine Learning Engineers often encounter challenges such as ensuring model scalability, maintaining data consistency between training and production environments, and monitoring model performance over time. Integrating models into existing software infrastructure may require collaboration with DevOps and software engineering teams to address issues like latency, version control, and resource allocation. Additionally, ongoing model maintenance is crucial to prevent model drift and ensure that predictions remain accurate as new data becomes available.

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

AspectMachine Learning EngineerData Scientist
CredentialsBachelor's or Master's in CS, Data Science, or related; experience with ML frameworksBachelor's or Master's in Statistics, Data Science, or related; strong analytical skills
Work EnvironmentDevelops scalable ML models, deploys algorithms into productionAnalyzes data, builds models, interprets data insights
Industry UsageTech companies, startups, AI-focused firmsFinance, healthcare, marketing, research organizations

While both roles work with data and machine learning, Machine Learning Engineers focus on building and deploying scalable ML models in production environments. Data Scientists primarily analyze data, create models, and generate insights. The roles often overlap but differ in their core responsibilities and focus areas.

What are the most commonly searched types of Machine Learning Engineer jobs in Reno, NV? The most popular types of Machine Learning Engineer jobs in Reno, NV are:
What are popular job titles related to Machine Learning Engineer jobs in Reno, NV? For Machine Learning Engineer jobs in Reno, NV, the most frequently searched job titles are:
What job categories do people searching Machine Learning Engineer jobs in Reno, NV look for? The top searched job categories for Machine Learning Engineer jobs in Reno, NV are:
What cities near Reno, NV are hiring for Machine Learning Engineer jobs? Cities near Reno, NV with the most Machine Learning Engineer job openings:
Infographic showing various Machine Learning Engineer job openings in Reno, NV as of June 2026, with employment types broken down into 98% Full Time, and 2% Part Time. Highlights an 86% Physical, 5% Hybrid, and 9% Remote job distribution, with an average salary of $128,391 per year, or $61.7 per hour.
Geochemist

Other

Posted yesterday


Job description

Introduction

Headquartered in Reno, NV, Ormat designs, develops, builds, owns and operates geothermal and recovered energy-based power plants in the US and worldwide. With a spotless international reputation, we’re on track to become a leading global provider of renewable energy. 

We take pride in our family-oriented business building practical green energy solutions from the ground up. 

Join a team that’s giving new life to the future of our planet. 

OverviewThis position is responsible for utilizing geochemistry to support world-class exploration, development and operations of geothermal resources globally. An individual in this role will work in a world-class collaborative and multi-disciplinary environment.

Responsibilities

  • Maintains a safe workplace and takes responsibility for safety with the goal of zero incidents
  • Performs a variety of tasks with a capability to work independently or within a team environment. Completes work assignments with suitable levels of supervision.
  • Acts in a dependable manner and uses sound judgement in all activities.
  • Possesses a high willingness to receive coaching, mentoring and training to continually improve
  • Prepares technical insights in a suitable communication method such as reports and presentations with accurate use of company tools, templates and standards
  • Manages data and information in a manner that is consistent with company systems and processes
  • Provides technical and business-related support focusing on, but not limited to, use of aqueous, gas, and isotope geochemical analyses and datasets for use in geothermal exploration and production
  • Facilitate and maintain field-level geochemical sampling, data management, and analysis, including internal databases, geochemical models, and production trends
  • Works with other Geochemists on project-specific tasks, including data gathering and compilation, field-work, and literature reviews as they pertain to individual projects
  • Works with compliance officers and staff to ensure appropriate monitoring and geochemical data is collected for submission to the government regulatory agencies
  • Collaboration with other Resource technical functions and Business Development to implement exploration and sampling programs to increase Ormat prospect and project portfolios
  • Coordinates and conducts support of onsite operations related to well testing, logging, cleanouts, or stimulations and provides geochemical support as needed
  • Provides technical reports and summaries of geochemical projects and reservoir monitoring activities

Other Responsibilities
  • Other duties and projects as assigned by management

Requirements

  • Must possess Master of Science or Engineering in a relevant subject. A Doctorate degree in a relevant subject is advantageous.
  • Must be able to use and acquire knowledge of a variety of computer software applications in word processing, spreadsheets, database and presentation. Must be proficient in MS Word, Excel, Power Point and use of the Internet.
  • Proficiency in technical specialist applications including, but not limited to, geochemical modeling software such as Geochemist Workbench, WATCH or PHREEQC as well as ArcGIS is preferred.
  • Proficiency in technical specialist applications including, but not limited to, a basic understanding of aqueous geochemistry and its application to high-temperature water-rock interactions, solubility controls and mineral saturation, and the methodologies used for sample analysis and data interpretation.
  • Must have strong verbal and written communication skills.
  • Must be able to read, write and speak English at a level which will permit the employee to accurately understand and communicate information to safely and efficiently perform the job duties. Proficiency in other languages is advantageous, especially in Spanish and Bahasa (Indonesia).
  • Ability to prioritize and plan work activities so time is used efficiently and effectively
  • Must demonstrate accuracy and thoroughness to ensure quality performance
  • Ability to identify and resolve problems in a timely manner
  • Must possess a valid driver’s license with a driving record acceptable to Ormat’s auto insurance carrier

Physical Requirements
  • The ability to work in an office environment and to work at a computer, and computer monitor, and use repetitive motion for long periods of time
  • The ability to work in a power plant and wellfield near hot pipes, drilling rigs and heavy equipment
  • The ability to navigate and work in remote field locations and work outdoors in difficult weather conditions
  • The ability to walk, hike, and work on steep, rough terrain for extended periods of time
  • The ability to safely operate 4WD light vehicles on highways and off-road safely
  • The ability to wear appropriate personal protective equipment
  • The ability to periodically lift up to 25 lbs
  • The ability to travel up to 30% of the time, including internationally