ZipRecruiter

Log In

1

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

Hamilton Company

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

Hamilton Company

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. * Expert Knowledge of ...

The Talent Mine

Tactical TPM

Reno, NV · On-site

$70/hr

... Execution Engineering team and early-stage "Incubation" project focused on next-generation Machine Learning (ML) infrastructure for a Fortune 500 Hyperscale Technology Leader. This role is ...

Ormat Technologies, Inc.

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 ...

Ormat Technologies, Inc.

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 ...

Elemental LED, Inc.

Machine Operator I

Reno, NV · On-site

$17 - $20.25/hr

Every day, our engineers, innovators, creators, and problem-solvers work together to develop and ... We encourage curiosity, continuous learning, and fresh ideas across every department, empowering ...

Elemental Brands

Machine Operator I

Reno, NV · On-site

$17 - $20.25/hr

Every day, our engineers, innovators, creators, and problem-solvers work together to develop and ... We encourage curiosity, continuous learning, and fresh ideas across every department, empowering ...

Elemental Brands

Machine Operator I

Reno, NV · On-site

$17 - $20.25/hr

Every day, our engineers, innovators, creators, and problem-solvers work together to develop and ... We encourage curiosity, continuous learning, and fresh ideas across every department, empowering ...

Varsity Tutors

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 ...

Panasonic

Business Process Engineer III

Sparks, NV · On-site

Lead evaluation and integration of technologies such as IoT, AI/machine learning, robotics, and ... Coach Business Process Engineer I and II team members on process methods, stakeholder management ...

previous pagenext page

Showing results 21-40

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 11, 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.

Software Engineer - ML/Computer Vision (Battery Sorting)

Mccarran, NV • On-site

Redwood Materials
Clean Energy Equipment Manufacturing • 501 - 1,000 employees
Learn more about Redwood Materialsexternal

Full-time

This job post has expired today. Applications are no longer accepted.

Redwood Materials rating

7.6

Company rating: 7.6 out of 10

Based on 8 frontline employees who took The Breakroom Quiz

Job description

Software Engineer, ML/Computer Vision (Battery Sorting)

The Battery Sorting team at Redwood Materials is building a world-class, ML-enabled sorting platform that uses computer vision and machine learning to classify and route thousands of end-of-life batteries per hour across diverse chemistries and form factors. This role sits at the intersection of software engineering and machine learning, with direct ownership of the production systems powering automated battery sorting on the factory floor. The ideal candidate is equally comfortable debugging a production incident as iterating on a model, and will have the opportunity to generate patents in automated battery classification. This is a high-impact, highly visible role with immediate real-world application in advancing the energy transition.

Hours

Full-time | Schedule may vary depending on site operational needs; flexibility required

Responsibilities will include:

  • Develop, test, and maintain production software systems powering automated battery sorting, spanning ML inference, image acquisition, sensor integration, and hardware-adjacent control interfaces
  • Train and deploy computer vision models for battery chemistry classification, including dataset annotation, preprocessing, and evaluation within established data pipelines
  • Build and maintain services and APIs that connect ML outputs to downstream systems including MES, HMI, and PLC/controls interfaces
  • Own observability across the production software stack through structured logging, metrics dashboards, alerting, and on-call triage for inference pipelines and supporting services
  • Monitor model performance in production to catch regressions or distribution shifts and drive iterative improvements through data analysis and retraining
  • Contribute to infrastructure-as-code and CI/CD workflows to validate, version, and deploy application code and ML model artifacts to production environments
  • Collaborate cross-functionally with Controls, Hardware, Manufacturing, DevOps, and IT teams to translate operational needs into software and model improvements

Desired Qualifications:

  • B.S. in Computer Science, Electrical Engineering, or a related field, or equivalent practical experience
  • 2+ years of industry experience working with machine learning models, preferably in computer vision
  • Hands-on experience with ML frameworks and libraries such as PyTorch and OpenCV
  • Experience contributing to production codebases and pipelines with an emphasis on clean, well-documented, and well-tested code
  • Experience designing and tracking ML experiments using tools such as MLflow
  • Familiarity with edge deployment or model optimization techniques for inference (e.g., quantization, TensorRT, ONNX Runtime) in latency-sensitive or resource-constrained environments
  • Experience with OCR, image classification pipelines, or multi-sensor and multimodal fusion
  • Experience working in or alongside industrial, manufacturing, or operations environments where software interacts with physical systems
  • Strong cross-functional communication skills and ability to prioritize and execute in a fast-paced, dynamic environment
  • A passion for sustainability and making the world a better place!

Working Conditions:

  • Factory floor environment; work schedule may vary depending on site operational needs and flexibility is required
  • Willingness and ability to travel to Reno, NV as needed
  • Additional working conditions to be confirmed with Hiring Manager

What Redwood Materials employees say

Pay

Hours and flexibility

Workplace

Get the full story on Breakroom

Apply