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Machine Learning Engineer Jobs in Carson City, NV

... implement robust machine and process architecture. Responsibilities include developing ... It is a rare and valuable learning experience for a controls engineer to be embedded so deeply in ...

Linear Algebra Tutor

Reno, NV · Remote

$18 - $40/hr

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

Mechanical Engineering Tutor

Reno, NV · Remote

$18 - $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 ...

Senior Automation Controls Engineer

Reno, NV · On-site

$103K - $136K/yr

... implement robust machine and process architecture. Responsibilities include developing ... It is a rare and valuable learning experience for a controls engineer to be embedded so deeply in ...

... machinery, and other conditions typical of industrial facilities. Candidates must be able to ... At Barr, we also believe that learning doesn't stop when you get your degree, which is why we ...

Statics Tutor

Reno, NV · Remote

$18 - $40/hr

... machine design, and construction engineering. * Curriculum Awareness & Adaptive Instruction ... Ability to adapt to different learning styles and student needs. Ways To Connect With Students * 1 ...

Statics and Dynamics Tutor

Reno, NV · Remote

$18 - $40/hr

... machine dynamics, and advanced engineering coursework. * Conceptual Teaching & Problem-Solving ... Ability to adapt to different learning styles and student needs. Ways To Connect With Students * 1 ...

Showing results 41-60

Machine Learning Engineer information

See Carson City, NV salary details

$30.9K

$126.1K

$189.5K

How much do machine learning engineer jobs pay per year?

As of Aug 9, 2026, the average yearly pay for machine learning engineer in Carson City, NV is $126,113.00, according to ZipRecruiter salary data. Most workers in this role earn between $99,400.00 and $151,800.00 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 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 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 Carson City, NV? The most popular types of Machine Learning Engineer jobs in Carson City, NV are:
What cities near Carson City, NV are hiring for Machine Learning Engineer jobs? Cities near Carson City, NV with the most Machine Learning Engineer job openings:
Infographic showing various Machine Learning Engineer job openings in Carson City, NV as of August 2026, with employment types broken down into 79% Full Time, and 21% Contract. Highlights an 80% In-person, and 20% Remote job distribution, with an average salary of $126,113 per year, or $60.6 per hour.

Senior Automation Controls Engineer

Amperesand

Reno, NV

$96K - $127K/yr

Full-time

Posted 4 days ago


Job description

Role Summary

Amperesand is disrupting industrial power with the first commercialized Solid State Transformer systems. Solid State Transformer systems are much more than a transformer replacement, enabling numerous advanced features to unlock solutions for data centers, EV charging, renewables, microgrids, and industrial installations. We are looking for mission-driven team members passionate about making amazing products for worldwide electrification at maximum acceleration. Amperesand is building a global company and looking for talent across our geographies.

We are seeking a highly skilled and passionate Senior Automation Controls Engineer to lead the design and development of advanced automation equipment and assembly lines as we scale our hardware product portfolio. In this role, you will drive cross-functional initiatives to bring innovative hardware solutions from concept through to full-scale production. Collaborating closely with manufacturing and mechanical design teams, you will define and implement robust machine and process architecture.

Responsibilities include developing comprehensive electrical and pneumatic schematics, leading the programming and integration of control systems-including PLCs, safety systems, HMIs, servo drives, process instrumentation, and robotics-from initial power-up through debugging, optimization, and final validation.

This role presents a unique opportunity to influence product design from its earliest stages and champion design for automation as a foundational principle. It is a rare and valuable learning experience for a controls engineer to be embedded so deeply in both product and manufacturing development.

Responsibilities 
  • Lead the conceptual development of new equipment, balancing product specifications, process control requirements, layout complexity, cost, quality, and lead-time constraints
  • Design and implement control-reliable safety systems in compliance with ANSI/RIA R15.06 and OSHA standards for safeguarding robots, gantries, conveyors, and other high-throughput manufacturing systems
  • Develop, structure, and debug PLC logic with a strong emphasis on code architecture, documentation, maintainability, and long-term reusability
  • Design and debug software for subsystems including robotics, vision systems, test equipment, and manufacturing execution systems (MES)
  • Contribute to the creation of specifications and internal standards, manage technical documentation for vendor release, and perform detailed quote evaluations
  • Select and size electrical and electromechanical components for optimal system integration and performance
  • Design intuitive and visually clean HMI interfaces for complex machinery, ensuring effective operator feedback and streamlined troubleshooting
  • Design industrial electrical control panels in accordance with NFPA 79, NEC, and UL 508A standards, and generate comprehensive electrical, pneumatic, and fluid schematics
  • Oversee electrical cabinet fabrication, field wiring, and the installation of pneumatic and fluid systems
  • Lead the introduction of automated processes into production environments and train maintenance and operations teams to ensure long-term support and sustainability
  • Build and test internally built equipment to be deployed at contract manufacturers
Qualifications
  • Engineering degree (Bachelor's or Master's) in Electrical, Mechatronics, Mechanical, Manufacturing, or Computer Engineering 
  • 5+ years driving Controls Engineering initiatives, with deep expertise in DFA, process development, and high-mix/high-volume production environments
  • Proven hands-on experience across diverse manufacturing processes - injection molding, die casting, machining, potting, power electronics assembly, and automation
  • Track record leading large-scale capital equipment design projects from concept to deployment
  • Expertise in data collection, statistical analysis (SPC), and data visualization/SCADA platforms such as Ignition; fluent in industrial protocols including PROFINET, EtherNet/IP, Modbus TCP/RTU, and RS-232/485
  • Demonstrated mastery of standard and safety PLC programming, with hands-on experience in Allen Bradley Studio 5000 and Beckhoff TwinCAT 3; Siemens TIA Portal proficiency a strong plus
  • Skilled in industrial robot programming across Kuka and ABB platforms; Fanuc experience especially valued
  • Experience commissioning servo systems using Rockwell Kinetix and Beckhoff Drive Manager 2; Siemens SIMATIC strongly preferred
  • Proven ability to develop and deploy 2D/3D vision systems using Cognex In-Sight and LMI Gocator; Keyence XG-X experience a plus
  • Strong command of industrial safety and electrical standards, including ANSI/RIA R15.06, OSHA regulations, NFPA 79, NEC, and UL 508A
  • Skilled at leading cross-functional teams and managing vendor relationships to deliver results
  • Deep expertise in motion control, pneumatics, hydraulics, and sensor integration
  • Experience in Agile development environments, including sprint planning and task management using Scrum methodologies and tools like Jira
  • Willingness to travel 20-25%, including internationally
  • Excellent written and verbal communication skills
Bonus Qualifications
  • Certified Functional Safety Expert or Professional (ISO 13849)
  • Demonstrated proficiency in CAD software (3DEXPERIENCE (3DX), CATIA, NX, SolidWorks, Creo, etc.) for designing mechanical assemblies
  • Valued expertise in Power Electronics Assembly from energy storage and conversion, automotive, aerospace, semiconductor, or consumer electronics manufacturing
  • Proven experience with assembly line simulation software (FlexSim, Rockwell Arena, Dassault DELMIA, Siemens Process Simulate)
  • Skilled in designing NFPA 79 compliant Electrical Cabinets and Industrial Machines

Please Note: This role requires working on site five days per week. We do not offer hybrid or remote work options