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

Deloitte

Databricks Senior Consultant

Sacramento, CA

Databricks certifications (e.g., Data Engineer Professional, Machine Learning Professional) are ... Your contributions can help clients improve financial performance, accelerate new digital ventures ...

Deloitte

Oracle Gen AI Manager

Sacramento, CA

... machine learning initiatives * Identify high-value AI use cases and guide teams on prompt ... With so much technology moving to the Cloud, our business requirements are taking us to new heights.

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All JobsNew Grad Machine Learning JobsNew Grad Machine Learning Jobs in Elk Grove, CA

New Grad Machine Learning information

See Elk Grove, CA salary details

$26.8K

$44.8K

$92.5K

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 Elk Grove, CA is $44,767.00, according to ZipRecruiter salary data. Most workers in this role earn between $34,200.00 and $48,400.00 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 Elk Grove, CA?

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

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

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

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

New Grad Machine Learning jobs near you

Software Engineer - AI/ML Systems

Agile Global Solutions, Inc

Davis, CA • On-site

Other

Medical, Dental, Retirement

Posted 29 days ago

Job description

Position: Software Engineer - AI/ML Systems

Location: Davis, CA (Onsite for few Months)

Duration: Full-Time

Job Description:

Cedaron Medical Inc. is a privately held healthcare software company with more than 35 years of experience and the agility of a software startup. We build specialized web applications that connect hospital data systems, centralize discipline-specific information, improve data quality, and enable real-time reporting for physicians, surgeons, administrators, and healthcare organizations. Our work helps customers track metrics, improve quality of care, and identify opportunities for better outcomes. At Cedaron, your contributions are visible and impactful: you will help shape and own meaningful features in a growing product suite with a long runway for innovation, not simply maintain an aging platform.

Cedaron is seeking a resourceful and technically curious Software Engineer to help build and improve intelligent healthcare software systems. This role is ideal for someone who enjoys solving complex problems, learning new technologies quickly, and contributing to systems that require thoughtful design, strong engineering judgment, and a practical understanding of processing unstructured data.

We are looking for a developer who can think from first principles, communicate clearly with other engineers, and recognize both the capabilities and limitations of modern AI systems.

What You’ll Do

In this role, you’ll work with Large Language Models (LLMs) and machine learning principles to:

  • Process unstructured medical data and answer complex medical questions using Retrieval-Augmented Generation (RAG) and related techniques.
  • Design and build AI-powered tools to streamline the creation, customization, and validation of medical forms.
  • Design systems that convert user-generated queries into reports within our existing software platform.
  • Make thoughtful design decisions, learn new technologies, and help advance Cedaron’s machine learning capabilities.

What We’re Looking For

The ideal candidate has demonstrated voluntary initiative in a workplace environment before. The candidate would be able to take ownership of a concept and architect and build the AI solution from the ground up.

We’re generally looking for someone with several years of professional software engineering experience and meaningful hands-on experience building with LLMs, RAG systems, or related AI tooling.

From a technical standpoint, we are looking for someone who has experience with or strong familiarity in:

  • Practical knowledge of RAG systems, including hands-on experience with ChromaDB, Pinecone, Azure AI Search, or similar vector databases, with the ability to build production-grade retrieval pipelines for unstructured data.
  • Strong experience working with Large Language Models, including prompt engineering, context management, output validation, evaluation techniques, and hallucination mitigation.
  • Experience with Python and/or C#, along with familiarity with modern AI frameworks such as LangChain, Microsoft Agent Framework, or similar technologies.
  • Experience processing unstructured data, including PDFs, handwritten notes, images, scans, and related formats.
  • Strong communication skills, including the ability to explain technical problems clearly to both developers and non-developers.
  • Nice to have: experience with C#, TypeScript, SQL, and MVC-style architectures to integrate functionality into existing web applications and application servers that support medical question-answering through RAG.
  • Ability to communicate technical concepts clearly to other developers.
  • Interest in reading technical papers, documentation, and open-source contributions to improve your craft.

Important programming languages for this position include C# and Python.

Benefits

Cedaron offers a competitive benefits package, including:

  • Healthcare coverage
  • Dental coverage
  • 401(k) plan with a 4% company match
  • Opportunity to work with a collaborative team in Davis, California
 

Best Regards,

 

T Chandra Sekhar - Technical Sr. Recruiter

Agile Global Solutions, Inc ....."Empowering Enterprises"

193 Blue Ravine Road, Suite 160, Folsom, CA 95630

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