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

Varsity Tutors

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 ...

Amperesand

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 ...

Varsity Tutors

Mechanical Engineering Tutor

Reno, NV · Remote

$40/hr

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 ...

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Showing results 41-60

All JobsMachine Learning Engineer JobsMachine Learning Engineer Jobs in Sparks, NV

Machine Learning Engineer information

See Sparks, NV salary details

$32.2K

$131.7K

$197.9K

How much do machine learning engineer jobs pay per year?

As of Sep 12, 2026, the average yearly pay for machine learning engineer in Sparks, NV is $131,702.00, according to ZipRecruiter salary data. Most workers in this role earn between $103,800.00 and $158,500.00 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 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 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 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.

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.

More about Machine Learning Engineer jobs

What are the most commonly searched types of Machine Learning Engineer jobs in Sparks, NV?

The most popular types of Machine Learning Engineer jobs in Sparks, NV are:

What job categories do people searching Machine Learning Engineer jobs in Sparks, NV look for?

The top searched job categories for Machine Learning Engineer jobs in Sparks, NV are:

What cities near Sparks, NV are hiring for Machine Learning Engineer jobs?

Cities near Sparks, NV with the most Machine Learning Engineer job openings:

Machine Learning Engineer jobs near you
Infographic showing various Machine Learning Engineer job openings in Sparks, NV as of August 2026, with employment types broken down into 1% As Needed, 71% Full Time, 27% Part Time, and 1% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $131,678 per year, or $63.3 per hour.

Python Tutor

Reno, NV • Remote

Varsity Tutors
Education • 501 - 1,000 employees
Learn more about Varsity Tutorsexternal

$40/hr

Part-time

Re-posted 11 days ago

Varsity Tutors rating

5.9

Company rating: 5.9 out of 10

Based on 17 frontline employees who took The Breakroom Quiz

Job description

About the Job
The Varsity Tutors Live Learning Platform has thousands of students looking for online Python tutors nationally. As a tutor on the Varsity Tutors Platform, you'll have the flexibility to set your own schedule, earn competitive rates, and make a real impact on students' academic success and understanding. All from the comfort of your home.
Why Join Our Platform?
  • Earn incrementally higher pay for each session with the same student, reaching up to $40/hour.
  • Get paid up to twice per week, ensuring fast and reliable compensation for the tutoring sessions you conduct and invoice.
  • Set your own hours and tutor as much as you'd like.
  • Tutor remotely using our purpose-built Live Learning Platform. No commuting required.
  • Get matched with students best-suited to your teaching style and expertise.
  • Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson generation, and engagement features, helping you save prep time and focus on impactful teaching.
  • We handle the logistics—you just invoice for your tutoring sessions, and we take care of payments.

What We Look For In a Python Tutor
  • Advanced Subject Mastery: Deep knowledge of Python syntax, data types, control flow, functions, object-oriented programming, file handling, modules and packages, list comprehensions, error handling, and popular libraries including NumPy, Pandas, and Matplotlib. Ability to explain Pythonic programming conventions, decorators, and generators while preparing students for data science, web development, automation, and computer science coursework.
  • Conceptual Teaching & Problem-Solving: Skilled at breaking down algorithm design, data manipulation, and object-oriented programming concepts in Python. Guides students through writing clean functions, manipulating data with Pandas, creating visualizations, implementing class hierarchies, and automating tasks with scripts. Emphasizes readable, maintainable code and connects Python to machine learning, web scraping, scientific computing, and DevOps applications.
  • Curriculum Awareness & Adaptive Instruction: Familiar with Python curricula at introductory through advanced levels and common challenges such as understanding indentation-based syntax, list versus dictionary selection, and debugging type errors. Adapts instruction using interactive notebooks, coding challenges, and project-based learning to support students from absolute beginners through advanced users preparing for data science, software development, or academic computing work.
  • Effective Teaching Methods: Ability to identify concepts students commonly struggle with, explain material using multiple approaches, and adapt instruction to meet individual learning needs and styles.
  • Strong communication skills and a friendly, engaging teaching style.
  • Ability to adapt to different learning styles and student needs.

Ways To Connect With Students
  • 1-on-1 Online Tutoring - Provide personalized instruction to individual students.
  • Instant Tutoring - Accept on-demand tutoring requests whenever you're available.

About Varsity Tutors And 1-on-1 Online Tutoring
Our mission is to transform the way people learn by leveraging advanced technology, AI, and the latest in learning science to create personalized learning experiences. Through 1-on-1 Online Tutoring, students receive customized instruction that helps them achieve their learning goals. Our platform is designed to match students with the right tutors, fostering better outcomes and a passion for learning.
Please note: Varsity Tutors does not contract in: Alaska, California, Colorado, Delaware, Hawaii, Maine, New Hampshire, North Dakota, Vermont, West Virginia or Puerto Rico.

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