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

Flexport

Area Manager - New Grad

San Bernardino, CA · On-site

Strong problem-solving skills and comfort learning new processes quickly in a fast-paced, sometimes ambiguous environment. * Strong computer literacy, including comfort with Google Sheets/Excel.

New

Flexport

Area Manager - New Grad

San Bernardino, CA

Strong problem-solving skills and comfort learning new processes quickly in a fast-paced, sometimes ambiguous environment. * Strong computer literacy, including comfort with Google Sheets/Excel.

New

Flexport

Area Manager - New Grad

San Bernardino, CA · On-site

Strong problem-solving skills and comfort learning new processes quickly in a fast-paced, sometimes ambiguous environment. * Strong computer literacy, including comfort with Google Sheets/Excel.

UHS

New Grad Registered Nurse - PCU - October 2026

Corona, CA · On-site

$2.1K - $2.8K/wk

To be considered for a New Grad interview you must have an active California RN License position ... HealthStream online learning catalogue with plenty of free CEU courses. * Competitive Compensation ...

New

VSolvit

DATA SCIENTIST II

Norco, CA · On-site

$115K - $130K/yr

In this role, you will apply advanced data analytics and machine learning techniques to explore ... ask by analyzing data in new ways. to solve complex problems in a variety of domains.

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All JobsNew Grad Machine Learning JobsNew Grad Machine Learning Jobs in Perris, CA

New Grad Machine Learning information

See Perris, CA salary details

$26K

$43.4K

$89.7K

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

As of Aug 23, 2026, the average yearly pay for new grad machine learning in Perris, CA is $43,418.00, according to ZipRecruiter salary data. Most workers in this role earn between $33,100.00 and $46,900.00 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 Perris, CA?

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

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

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

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

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

New Grad Machine Learning jobs near you

Area Manager - New Grad

Flexport

San Bernardino, CA • On-site

Full-time, Part-time

Posted 3 days ago

New

Flexport rating

4.4

Company rating: 4.4 out of 10

Based on 11 frontline employees who took The Breakroom Quiz

Job description

About Flexport:

At Flexport, we believe global trade can move the human race forward. That's why it's our mission to make global commerce so easy there will be more of it. We're shaping the future of a $10T industry with solutions powered by innovative technology and exceptional people. Today, companies of all sizes—from emerging brands to Fortune 500s—use Flexport technology to move more than $19B of merchandise across 112 countries a year.

The recent global supply chain crisis has put Flexport center stage as we continue to play a pivotal role in how goods move around the world. We are proud to have the support of the best investors in the game who believe in our mission, solutions and people. Ready to tackle global challenges that impact business, society, and the environment? Come join us.

The Opportunity

This is a launchpad role for recent graduates who want to lead people and operations from day one. You'll join the team at our established San Bernardino fulfillment center — stepping into a people-leader role on the operating floor, managing a team and a process, and building the foundation of a career in operations leadership.

No prior warehouse or management experience is required — we provide structured training. What matters most is that you've led before: on a team, in a club, on campus, in the military, or in a part-time job — and that you're excited to keep developing that skill in a fast-paced, hands-on environment where you'll help shape how Flexport moves global trade forward.

This role is onsite in Phillipsburg, NJ.

You Will
  • Coach, manage, and develop a team of 30–100 (with training and support from your site leadership as you ramp up).
  • Communicate policies to your team and act as the primary information source for the team, maintaining compliance and consistency, and taking corrective action when needed.
  • Create, manage, and support recognition programs across your department.
  • Support all safety programs and OSHA compliance to ensure a safe work environment for all associates; ensure procedures are followed for building security and product loss prevention.
  • Be an integral part of our Operations team as an Area Manager at one of our largest fulfillment partners located across the country.
  • Own performance reporting for your areas of responsibility within the FC, including on-time receiving and shipping, inventory accuracy, and packing quality.
  • Hold yourself and your team to clear SLA expectations, providing concise verbal and written reports of performance and action plans when needed.
  • Facilitate troubleshooting with cross-functional partners on fulfillment-related problems.
  • Serve as an escalation point to help mitigate risks and resolve issues.
  • Measure and respond to gaps in inventory accuracy, helping identify root causes and resolve them.
  • Review defect rates to identify trends and surface opportunities to improve operations, both internally and across the network.
  • Track learnings and best practices to contribute to Standard Operating Procedures (SOPs).
  • Help prioritize the resolution of systemic problems, working closely with our Growth and Engineering teams.
You Should Have
  • A bachelor's degree completed within the last 12 months, or expected within the next few months.
  • Demonstrated leadership experience — this can come from campus organizations, athletics, ROTC/military, student government, internships, or part-time or summer jobs. Formal people-management experience is not required.
  • Strong problem-solving skills and comfort learning new processes quickly in a fast-paced, sometimes ambiguous environment.
  • Strong computer literacy, including comfort with Google Sheets/Excel.
  • Clear, confident written and verbal communication skills.
  • A collaborative, personable approach with a strong affinity for working cross-functionally.
  • Great attention to detail and an appreciation for the complexity behind consistent day-to-day operations.
  • Willingness and ability to work any permanent shift, which may include overnights, holidays, and weekend overlap.
  • Must be able to lift up to 49 pounds with or without reasonable accommodation.
  • Must be willing and able to frequently push, pull, squat, bend, and reach, and to stand/walk for up to 10–12 hours.
  • Must be able to work in an environment where noise levels and temperature vary (60–90°F, occasionally higher).
  • Must be able to work on a secure mezzanine at a height of up to 40 feet (applies to buildings with mezzanines).
Nice to Have
  • Coursework, internships, or part-time experience in warehousing, fulfillment, supply chain, or logistics.
  • Exposure to SQL or other reporting/data tools.
  • Experience collaborating with external partners or vendor

#LI-Onsite

The range displayed on each job posting reflects the minimum and maximum target for new hire base salary for the position in the posting's respective region. Our salary ranges are determined by role, level, and location. Within the range displayed, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education and / or training. Base salary is just one part of our total rewards package at Flexport, which also includes bonus, equity, and comprehensive benefit offerings such as medical, dental, and flexible time off.
The US base salary range for this position (this does not include bonus, equity and benefits):
$64,800—$89,100 USD
Commitment to Equal Opportunity

At Flexport, our ability to fulfill our mission of making global commerce easy and accessible relies on having a diverse, dedicated and engaged workforce. All qualified applicants will receive consideration for employment regardless of race, color, religion, sex, national origin, age, physical and mental disability, health status, marital and family status, sexual orientation, gender identity and expression, military and veteran status, and any other characteristic protected by applicable law.

Global Data Privacy Notice for Job Candidates and Applicants

Depending on your location, the General Data Protection Regulation (GDPR) and California Consumer Privacy Act (CCPA) may regulate the way we manage the data of job applicants. By submitting your application, you are agreeing to our use and processing of your data as required. Please see our Privacy Notice available at www.flexport.com/privacy for additional information.

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