Top 13 Machine learning engineer Jobs in Reno Nv

Reliability Engineer, Battery Module
Tesla —Sparks, NV
- Full-time
- Azure
- Computer Science
- Mid-level
- Commuter assistance
- Health savings account
10d
Sr. Project Engineer, New Product Introduction, Powerwall
Tesla —Sparks, NV
- Full-time
- 5 years
- Mentoring
- Organizational skills
- Commuter assistance
- Health savings account
Sr. Project Engineer, LFP Cell Manufacturing
Tesla —Sparks, NV
- Full-time
- 5 years
- Mentoring
- Organizational skills
- Commuter assistance
- Health savings account
1d
Sr. Project Engineer, Remanufacturing
Tesla —Sparks, NV
- Full-time
- Mid-level
- Assembly
- Computer skills
- Commuter assistance
- Health savings account
Manufacturing Equipment Engineer, Stack Module, LFP Cell Manufacturing
Tesla —Sparks, NV
- Full-time
- Engineering
- Organizational skills
- Computer skills
- Commuter assistance
- Health savings account
Analytics Engineer
S5 Stratos —United States
- Full-time
- Remote
- Background check
- Computer Science
- SQL
- Health insurance
- Dental insurance
Quick Apply
Senior Application Engineer (Remote)
Govcio LLC —United States
- $175,000 - $200,000 a year
- Full-time
- Remote
- Azure
- System design
- 11+ years
3d

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Information Technology Coordinator
SIERRA NEUROSURGERY GROUP —Reno, NV
*Talk with developers and suppliers of new IT products and teaching methods to maintain valid personal knowledge and skill*.
$75,000 - $95,000 a year
Quick Apply
10d
Development Manager / Technical Lead for Engineering Consultant
Moffatt & Nichol —Carson City, NV
Perform hands-on development work on high-priority and high-complexity solutions, including design, coding, code review, troubleshooting, resolution of…
Quick Apply

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Senior Machine Learning Engineer - Generative AI & Full-Stack Applications
CVS Health —Columbus, OH
This is an experienced individual-contributor role focused on evaluating, documenting, building and scaling GenAI and AI-powered capabilities, contributing to…
$83,430 - $222,480 a year
Machine Learning / Data Science Engineer
CapTech Consulting —Columbus, OH
Strategizing with clients, data scientists, engineers, and other members of cross-functional teams to implement end-to-end machine learning solutions and…
Quick Apply

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Reliability Engineer, Battery Module

Tesla -
Sparks, NV

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Job Details

Full-time
10 days ago

Benefits

Commuter assistance
Health savings account
AD&D insurance
Paid holidays
Disability insurance
Health insurance
Dental insurance
Flexible spending account
Flextime
Adoption assistance
Employee assistance program
401(k) matching
Employee discount
Benefits from day one
Pet insurance

Qualifications

Time series models
Data visualization software proficiency
Continuous Delivery (CD) implementation
Dashboard creation
Business intelligence report generation
Dashboard creation support
IoT systems
Public Cloud
Model deployment
Version control systems
Time Series Analysis
Data analysis software
Failure analysis

Full Job Description

What to Expect

We are seeking a Reliability Engineer with strong software and data engineering skills to design, build, and deploy intelligent tools and platforms that optimize production reliability in Battery Manufacturing. Rather than hands-on equipment maintenance, this role focuses on creating software systems, data pipelines, and AI/ML models that enable reliability teams to minimize downtime, predict failures, and drive continuous improvement at scale. The ideal candidate bridges the gap between reliability engineering principles and modern software development to turn operational data into actionable intelligence.

What You'll Do

Develop Reliability Software & Platforms: Design and build internal tools, applications, and automation workflows that support predictive maintenance programs, while creating integrations with CMMS, SCADA, IoT, and other data sources to deliver unified dashboards and KPI reporting for OEE, MTBF, and MTTR
Engineer Data Pipelines & Analytics: Architect scalable data pipelines that ingest and transform high-volume equipment and production data, then apply statistical analyses such as Weibull and fault tree methods to identify failure patterns and build interactive visualizations that highlight downtime drivers and bottlenecks
Implement AI/ML for Predictive Reliability: Develop and deploy machine learning models for predictive maintenance, anomaly detection, and remaining useful life estimation, while building real-time monitoring systems and iteratively improving failure classification models to accelerate root cause analysis and data-driven corrective actions
Drive Cross-Functional Collaboration & Automation: Partner with Reliability, Maintenance, Production, and Controls Engineering teams to translate operational challenges into software solutions, champion AI-assisted workflows, support Management of Change processes, and automate manual reliability tasks including spare parts analysis, work order triage, and maintenance planning

What You'll Bring

Degree in Computer Science, Software Engineering, Data Science, or a related Engineering field, or equivalent experience
3+ years of experience building software tools, data pipelines, or ML models in a manufacturing, industrial, or operations environment
Strong programming skills in Python (primary); familiarity with SQL and at least one additional language (e.g., JavaScript/TypeScript, Go, Java)
Experience with data engineering tools and frameworks (e.g., Apache Airflow, Spark, dbt, or equivalent). Proficiency with data visualization and BI platforms (Power BI, Tableau, Grafana, or custom-built dashboards)
Solid understanding of reliability engineering concepts: OEE, MTBF, MTTR, RCM, preventive/predictive maintenance strategies, and failure analysis methodologies
Experience with ML/AI frameworks (scikit-learn, TensorFlow, PyTorch) and deploying models to production
Familiarity with time-series analysis, anomaly detection, and predictive maintenance modeling
Experience with cloud platforms (AWS, Azure, or GCP) and containerized deployments (Docker, Kubernetes). Exposure to CMMS platforms (SAP PM, Maximo, Fiix) and industrial IoT/SCADA systems
Knowledge of Lean Manufacturing, Six Sigma, or Reliability-Centered Maintenance (RCM) principles
Experience with version control (Git), CI/CD pipelines, and software development best practices

Compensation and Benefits

Benefits

Along with competitive pay, as a full-time Tesla employee, you are eligible for the following benefits at day 1 of hire:

Medical plans > plan options with $0 payroll deduction
Family-building, fertility, adoption and surrogacy benefits
Dental (including orthodontic coverage) and vision plans, both have options with a $0 paycheck contribution
Company Paid (Health Savings Accounts) HSA Contribution when enrolled in the High-Deductible medical plan with HSA
Healthcare and Dependent Care Flexible Spending Accounts (FSA)
401(k) with employer match, Employee Stock Purchase Plans, and other financial benefits
Company paid Basic Life, AD&D
Short-term and long-term disability insurance (90 day waiting period)
Employee Assistance Program
Sick and Vacation time (Flex time for salary positions, Accrued hours for Hourly positions), and Paid Holidays
Back-up childcare and parenting support resources
Voluntary benefits to include: critical illness, hospital indemnity, accident insurance, theft & legal services, and pet insurance
Weight Loss and Tobacco Cessation Programs
Tesla Babies program
Commuter benefits
Employee discounts and perks program

Tesla is an Equal Opportunity / Affirmative Action employer committed to diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, age, national origin, disability, protected veteran status, gender identity or any other factor protected by applicable federal, state or local laws.

Tesla is also committed to working with and providing reasonable accommodations to individuals with disabilities. Please let your recruiter know if you need an accommodation at any point during the interview process.

Apply Now

Refine Your Search

machine learning engineer jobs in reno nv

Reliability Engineer, Battery Module

Sr. Project Engineer, New Product Introduction, Powerwall

Sr. Project Engineer, LFP Cell Manufacturing

Sr. Project Engineer, Remanufacturing

Manufacturing Equipment Engineer, Stack Module, LFP Cell Manufacturing

Analytics Engineer

Senior Application Engineer (Remote)

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