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Machine Learning Engineer Opt Jobs in Sparks, NV

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

$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 ...

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Showing results 21-40

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

Machine Learning Engineer Opt information

See Sparks, NV salary details

$32.2K

$131.7K

$197.9K

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

As of Sep 12, 2026, the average yearly pay for machine learning engineer opt 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 into production environments. They work at the intersection of software engineering and data science, transforming data-driven prototypes into scalable, reliable systems that organizations can use to make predictions or automate tasks. Their responsibilities include data preprocessing, choosing appropriate algorithms, model training, and ensuring the model's performance in real-world applications. Machine Learning Engineers often collaborate with data scientists, data engineers, and product teams to deliver intelligent solutions.

What are some common challenges machine learning engineers face when deploying models to production environments?

Machine Learning Engineers often encounter challenges such as ensuring model scalability, handling data drift, and integrating models seamlessly with existing systems when deploying to production. Monitoring model performance in real time and retraining models as new data becomes available are also critical tasks. Collaboration with data engineers and DevOps teams is essential to address infrastructure and deployment hurdles while maintaining model accuracy and reliability.

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 a solid background in mathematics, statistics, and programming (especially Python), typically supported by a degree in computer science, engineering, or a related field. Familiarity with machine learning frameworks (such as TensorFlow, PyTorch), data processing tools, and cloud platforms, along with relevant certifications, is highly valuable. Strong problem-solving ability, collaboration, and effective communication are standout soft skills in this role. These skills and qualities ensure the successful development, deployment, and integration of machine learning solutions that drive business value.

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

AspectMachine Learning Engineer OptData Scientist
Required CredentialsBachelor's or Master's in CS, AI, or related fields; certifications in ML toolsBachelor's or Master's in CS, Statistics, or related fields; data analysis certifications
Work EnvironmentDevelops, tests, and deploys ML models in production systemsAnalyzes data, builds models, and provides insights for decision-making
Employer & Industry UsageTech companies, AI startups, e-commerce, financeResearch institutions, tech firms, consulting, finance
Common Search & ComparisonOften compared for technical skills and deployment focusCompared for data analysis and business insights

Machine Learning Engineers Opt focus on deploying scalable ML models in production environments, while Data Scientists primarily analyze data and develop models for insights. Both roles require strong technical skills, but their core responsibilities differ in application and deployment.

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

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

Machine Learning Engineer Opt jobs near you

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 1 day ago. 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

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