Top 12 Machine learning engineer Jobs in Reno, Nv

Machine Learning Engineer- AI Data Platform (Reno, NV)
MOBE, LLC —Reno, NV
- Full-time
- Continuous improvement
- US work authorization
- Senior level
Quick Apply
Data Scientist
Capital Insurance Group —Reno, NV
- $91,761 - $152,938 a year
- Full-time
- Hybrid work
- 7 years
- Mid-level
- US work authorization
- Profit sharing
- Commuter assistance
Manufacturing Engineer I
PECNA Panasonic Energy Corporation of North America —Sparks, NV
- Full-time
- Bachelor of Science
- Office
- High school diploma or GED
Mechanical Engineer, Cooling System Design and Analysis
Google —Reno, NV
- $171,000 - $248,000 a year
- Full-time
- Google Workspace
- Engineering
- Office
- Paid holidays
- Disability insurance
Mechanical Engineer II
PECNA Panasonic Energy Corporation of North America —Sparks, NV
- Full-time
- Microsoft Excel
- Microsoft Outlook
- Computer literacy
Sr. Project Engineer, New Product Introduction, Powerwall
Tesla —Sparks, NV
- Full-time
- 5 years
- Mentoring
- Organizational skills
- Commuter assistance
- Health savings account
11d
Postdoctoral Scholar, Civil and Environmental Engineering
University of Nevada, Reno —Reno, NV
- Email
- Background check
- Bachelor of Science
- Residential
Manufacturing Equipment Engineer, Stack Module, LFP Cell Manufacturing
Tesla —Sparks, NV
- Full-time
- Engineering
- Organizational skills
- Computer skills
- Commuter assistance
- Health savings account

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Machine Learning Engineer- AI Data Platform (Reno, NV)

MOBE, LLC -
Reno, NV

Quick Apply

Job Details

Full-time

Qualifications

AI models
Performance monitoring
Data integrity assurance
Data quality checks
Data Integration (Data management)
Business intelligence
Amazon SageMaker
Generative models
Application deployment
AI platforms (beyond public GPTs)
Scalable systems
Production systems
Machine learning cloud services
Machine intelligence
Data pipeline scheduling
Continuous improvement
Model deployment
Airflow
Data quality monitoring
Data Security (Data management)
Systems engineering
Scalability
System development
Model training
Senior level
Cross-functional collaboration
Machine learning frameworks
MLOps
Feature engineering
Generative AI

Full Job Description

Company Overview

MOBE helps people discover new ways to live healthier. We are the whole-person, cross-condition solution that goes further to deliver better health and lower overall costs through evidence-based individual health guidance and pharmacist-led medication management. We empower individuals to make meaningful changes that improve their health and overall well-being. Behind our innovative solutions are robust data analytics, digital application, and a uniquely human philosophy. With one-to-one connection and compassion, we uncover opportunities, overcome challenges, and motivate people to transform their lives.

At MOBE our team is our most significant asset. We cultivate a culture grounded in curiosity, innovation, and growth. We encourage new ideas, fresh solutions, and meaningful impact. We value a workforce made up of people with differences who are eager to learn from each other and grow personally and professionally. We extend this approach to our partners and communities, seeking to increase understanding and expand opportunities across all groups.

Your role at MOBE

We are seeking a highly skilled AI Engineer to serve as a core builder of our AI Data Platform. This role sits at the intersection of machine learning engineering, data platform development, and business intelligence, with responsibility for designing and operating the infrastructure that powers AI-driven insights across the organization.

You will build intelligent data pipelines, production-grade ML systems, and AI-enabled features that translate complex data into actionable outcomes. This role is ideal for an engineer who enjoys working end-to-end from data ingestion and feature engineering to model deployment and downstream consumption in analytics and BI tools.

**Applicants must be authorized to work for ANY employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time.

Responsibilities:

Build AI-first data pipelines: Design, implement, and maintain scalable data pipelines that support model training, inference, and analytics use cases across the AI Data Platform.
Deploy production ML systems: Develop, deploy, and monitor machine learning models using AWS SageMaker, ensuring reliability, observability, and performance in production environments.
Implement Retrieval-Augmented Generation (RAG): Architect and maintain RAG-based systems that combine structured and unstructured data to power AI-driven insights and applications.
Operationalize ML lifecycle management: Use MLflow for experiment tracking, model versioning, and lifecycle management to support reproducibility and continuous improvement.
Design feature infrastructure: Build and manage feature stores (e.g., Feast, Tecton, or SageMaker Feature Store) to ensure consistent, reusable features across training and inference.
Orchestrate complex workflows: Create and manage Apache Airflow DAGs to orchestrate data transformations, model pipelines, and AI workflows with clear dependencies and monitoring.
Enable analytics consumption: Partner with BI and analytics teams to ensure ML outputs integrate cleanly with our internal BI reporting hub.
Translate business questions into AI solutions: Collaborate with stakeholders to convert ambiguous business problems into measurable ML- and data-driven solutions.
Uphold data quality and governance: Ensure AI pipelines and models adhere to data governance, security, and quality standards, particularly when handling sensitive data.
Collaborate cross-functionally: Work closely with Data Science, Analytics Engineering, Medical Economics, and DataOps to align AI platform capabilities with business priorities.

Quick Apply

Refine Your Search

machine learning engineer jobs in reno, nv

Machine Learning Engineer- AI Data Platform (Reno, NV)

Data Scientist

Manufacturing Engineer I

Mechanical Engineer, Cooling System Design and Analysis

Mechanical Engineer II

Sr. Project Engineer, New Product Introduction, Powerwall

Postdoctoral Scholar, Civil and Environmental Engineering

Manufacturing Equipment Engineer, Stack Module, LFP Cell Manufacturing

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