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New Grad Machine Learning Jobs in Hemet, CA (NOW HIRING)

Data Analyst

Riverside, CA · On-site

$142K/yr

Knowledge of machine learning algorithms and techniques. * Experience with cloud platforms (e.g ... new ground - in your career and in our legacy. Pay Range : There are a host of factors that can ...

Senior Director, AI Innovation

Corona, CA · On-site

$270K - $310K/yr

... new platforms, AI-powered experiences, automation * Build & Oversee the Enterprise AI Roadmap ... Intelligence (AI), Machine Learning (ML), Data Science, or related fields. Master's or MBA ...

Be Seen First

Active Learning - Understanding the implications of new information for both current and future ... Use machine tools in installation, maintenance, or repair * Use precision measuring tools or ...

We support a wide range of CNC machinery, including laser cutting systems, press brakes, robotic ... Installing and base-lining/debugging new CNC equipment systems * Training new customers and ...

Shipper Loader

Corona, CA · On-site

$18/hr

Active Learning - Understanding the implications of new information for both current and future ... Sort manufacturing materials or products Controlling Machines and Processes ​ * Use hand or power ...

Basic Skills • Active Learning- Understanding the implications of new information for both ... sure a machine is working properly. • Operations Analysis- Analyzing needs and product ...

Buyer I/II

Yucaipa, CA · On-site

$36K - $62K/yr

Purchases machinery, equipment, tools, parts, supplies, raw materials, or services as needed to ... Level I -Entry level position learning to follow purchasing and receiving procedures in Epicor.

New

This fuels us to continue our growth and launch new services at the speed we have been since our ... Learning Aptitude * Detail-oriented * Able to work in a fast-paced environment around machinery ...

Purchases machinery, equipment, tools, parts, supplies, raw materials, or services as needed to ... Level I -Entry level position learning to follow purchasing and receiving procedures in Epicor.

New

Showing results 21-40

New Grad Machine Learning information

See Hemet, CA salary details

$25.6K

$42.7K

$88.3K

How much do new grad machine learning jobs pay per year?

As of Aug 20, 2026, the average yearly pay for new grad machine learning in Hemet, CA is $42,730.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,600.00 and $46,200.00 per year, depending on experience, location, and employer.

What is a new grad machine learning?

New Grad Machine Learning roles are entry-level positions designed for recent graduates who have studied machine learning, artificial intelligence, data science, or related fields. These positions typically involve working with experienced data scientists and engineers to develop, implement, and improve machine learning models and algorithms. New grads in these roles often contribute to projects involving data preprocessing, model training, evaluation, and deployment. The goal is to help new graduates gain hands-on experience and grow their skills in a real-world setting while contributing to the organization's AI initiatives.

What skills and qualifications are needed to thrive as a new grad machine learning?

To thrive as a New Grad Machine Learning Engineer, you need a solid foundation in mathematics, statistics, and programming (especially Python), typically supported by a degree in computer science or a related field. Familiarity with machine learning frameworks such as TensorFlow or PyTorch, version control systems like Git, and coursework or certification in data science are highly beneficial. Strong problem-solving abilities, curiosity, and effective communication skills help you collaborate and convey complex technical concepts to diverse teams. These skills and qualities are essential for developing innovative models, ensuring project success, and integrating seamlessly into fast-paced tech environments.

What challenges do new graduates face when starting out in a machine learning role, and how can they overcome them?

New grad machine learning engineers often encounter challenges such as bridging the gap between academic knowledge and practical, production-level projects. Adapting to real-world data issues, collaborating with cross-functional teams, and understanding scalable deployment can be daunting at first. To overcome these, it's helpful to seek mentorship, proactively ask questions, and dedicate time to learning best practices in code versioning, model evaluation, and team communication. Engaging in code reviews and participating in team discussions can also accelerate the learning curve and foster professional growth.

What is the difference between New Grad Machine Learning vs Data Scientist?

AspectNew Grad Machine LearningData Scientist
Required CredentialsBachelor's in CS, Data Science, or related field; some internshipsBachelor's or Master's in CS, Statistics, or related; some experience
Work EnvironmentEntry-level, team-focused, research and developmentData analysis, modeling, cross-functional collaboration
Employer & Industry UsageTech companies, startups, research labsTech, finance, healthcare, consulting firms

New Grad Machine Learning roles typically focus on foundational skills, internships, and entry-level tasks, while Data Scientist positions often require more experience in data analysis and statistical modeling. Both roles are common in tech industries, but Data Scientists usually handle broader data analysis responsibilities.

What are popular job titles related to New Grad Machine Learning jobs in Hemet, CA?

For New Grad Machine Learning jobs in Hemet, CA, the most frequently searched job titles are:

What job categories do people searching New Grad Machine Learning jobs in Hemet, CA look for?

The top searched job categories for New Grad Machine Learning jobs in Hemet, CA are:

What cities near Hemet, CA are hiring for New Grad Machine Learning jobs?

Cities near Hemet, CA with the most New Grad Machine Learning job openings:

Sr. Product Engineer- Observability, ArcGIS Enterprise

Esri

Redlands, CA • On-site

Full-time

Re-posted 25 days ago


Esri rating

9.6

Company rating: 9.6 out of 10

Based on 14 frontline employees who took The Breakroom Quiz

7th of 245 rated software companies


Job description

Overview

Build the next generation of ArcGIS Enterprise, a suite of products delivering state-of-the-art mapping and analytics capability to thousands of customers and millions of users worldwide.

Our team builds cutting-edge, highly scalable, and reliable distributed software for on-premises, Kubernetes, and the cloud, making maps, geographic information, and analyses available on any device, anywhere, at any time. Our product engineers provide a strong technical voice in the product development process and use the best tools available to build highly reliable, sustained, and evolutionary software.

As a Product Engineer for observability, you will work with our cross-functional global team of product engineers, developers, and writers to design and implement the best observability patterns with a particular focus on leveraging AI and datadriven techniques to deliver automated root cause analysis and intelligent sizing recommendations. You will be actively involved with designing, writing, building, and delivering existing and next generation ArcGIS Enterprise observability using software development and quality assurance practices.

Responsibilities

  • Translate customer needs and industrial trends into technical requirements for future ArcGIS Enterprise software releases
  • Design and evolve end-to-end observability pipelines, spanning metrics, logs, traces, and events, across ArcGIS Enterprise deployments
  • Contribute to the design of AI Driven Root Cause Analysis (RCA) capabilities that accelerate troubleshooting and incident resolution
  • Partner on the design of data driven models to generate sizing and capacity guidance for customers
  • Collaborate with product engineers and development engineers on software project teams to build new ArcGIS Enterprise software releases
  • Share workflows in help topics, blog articles, presentations, tutorials, and samples
  • Troubleshoot and triage customer issues
  • Review and analyze automated test results, report status on software quality and stability, and certify software quality

Requirements

  • 5+ years of experience with ArcGIS Enterprise and ArcGIS platform technologies
  • Solid foundation of observability concepts: metrics, logs, traces, SLIs, SLOs
  • Hands-on Experience with Prometheus / Grafana
  • Robust experience developing and implementing test plans and test automation
  • Experience working with Python, Java, or other scripting languages
  • Strong experience translating customer needs (in observability) into technical requirements for the team
  • Excellent problem solving and analytical skills
  • Proven ability to build and deliver quality software in a team environment
  • Strong time management and organizational skills
  • Bachelor's degree in computer science, software engineering, information systems, or a related technical field

Recommended Qualifications

  • Experience with capacity planning, performance and chaos engineering
  • Familiarity with AI and Machine Learning concepts, especially as applied to operational data
  • Working knowledge of Kubernetes resource management (requests/limits, throttling, OOMs)
  • Hands on experience building or operating large scale distributed systems
  • Experience designing, deploying solutions in AWS and/or Azure
  • Master's degree in computer science, software engineering, information systems, or a related technical field

#LI-TA1

#LI-Onsite


What Esri employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


ESRI logo

About ESRI

Sourced by ZipRecruiter

Our passion for improving quality of life through geography is at the heart of everything we do. Esri's geographic information system (GIS) technology inspires and enables governments, universities, and businesses worldwide to save money, lives, and our environment through a deeper understanding of the changing world around them.

Industry

Scientific research and development services

Company size

1,001 - 5,000 Employees

Headquarters location

Redlands, CA, US

Year founded

1969