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Machine Learning Engineer New Grad Jobs in Elk Grove, CA

Design develop and deploy machine learning models and algorithms using Python Lead data science ... Drive continuous improvement initiatives by evaluating new tools and technologies relevant to ...

... Machine Learning Engineer (Associate - MLA-C01) or AWS Certified Data Engineer (Associate) * 1+ years of experience building reliable, maintainable, and well-documented code * Ability to travel 50 ...

Those in data science and machine learning engineering at PwC will focus on leveraging advanced analytics and machine learning techniques to extract insights from large datasets and drive data-driven ...

NGA AI Engineer Manager

Sacramento, CA · On-site

$73K - $244K/yr

Those in data science and machine learning engineering at PwC will focus on leveraging advanced analytics and machine learning techniques to extract insights from large datasets and drive data-driven ...

Software Engineer

Sacramento, CA · On-site

$100 - $125/hr

Hands‑on experience with AI and machine learning frameworks (TensorFlow, PyTorch) * Knowledge of ... Are excited by new challenges. You don't have the answers to every question up front, but the ...

Curiosity: Eager to learn new technologies and explore unfamiliar problems * Initiative: Takes ... Programming using C, C++, and/or Python. * Machine learning and/or deep learning development. * AI ...

Curiosity: Eager to learn new technologies and explore unfamiliar problems * Initiative: Takes ... Programming using C, C++, and/or Python. * Machine learning and/or deep learning development. * AI ...

Curiosity: Eager to learn new technologies and explore unfamiliar problems * Initiative: Takes ... Programming using C, C++, and/or Python. * Machine learning and/or deep learning development. * AI ...

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Machine Learning Engineer New Grad information

See Elk Grove, CA salary details

$33.1K

$135.4K

$203.4K

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

As of Sep 8, 2026, the average yearly pay for machine learning engineer new grad in Elk Grove, CA is $135,370.00, according to ZipRecruiter salary data. Most workers in this role earn between $106,700.00 and $162,900.00 per year, depending on experience, location, and employer.

What is a machine learning engineer new grad?

A Machine Learning Engineer New Grad job is an entry-level role for recent graduates specializing in machine learning and artificial intelligence. It typically involves developing, training, and deploying machine learning models, working with large datasets, and optimizing algorithms for performance. New grads in this role often collaborate with data scientists, software engineers, and product teams to integrate models into applications. Employers look for proficiency in programming (Python, TensorFlow, PyTorch), a strong foundation in ML concepts, and experience with data processing. This role provides an opportunity to gain hands-on industry experience and grow technical skills in real-world applications.

What are the typical day-to-day tasks of a machine learning engineer new grad?

As a Machine Learning Engineer New Grad, your daily tasks often include collecting and preprocessing data, developing and testing machine learning models, and analyzing model performance. You may work closely with data scientists and software engineers to integrate models into production systems and address real-world business problems. Participating in team meetings, code reviews, and collaborative projects is common, providing opportunities to learn best practices and receive mentorship. This hands-on, varied workload helps you quickly build technical and collaborative skills early in your career.

What are the key skills and qualifications needed to thrive in the machine learning engineer new grad position, and why are they important?

To thrive as a Machine Learning Engineer New Grad, a strong background in computer science, statistics, and mathematics, often supported by a relevant degree, is essential. Familiarity with programming languages like Python or Java, machine learning frameworks (such as TensorFlow or PyTorch), and basic knowledge of data tools and cloud platforms is typically required. Effective problem-solving, eagerness to learn, and clear communication help new grads excel when collaborating on projects and learning from senior team members. These skills and qualities are vital for adapting quickly, contributing to team goals, and building a successful foundation in this fast-evolving technical field.

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

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

What cities near Elk Grove, CA are hiring for Machine Learning Engineer New Grad jobs?

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

Infographic showing various Machine Learning Engineer New Grad job openings in Elk Grove, CA as of August 2026, with employment types broken down into 1% As Needed, 74% Full Time, 23% Part Time, and 2% Contract. Highlights an 89% Physical, 2% Hybrid, and 9% Remote job distribution, with an average salary of $135,370 per year, or $65.1 per hour.

Senior IT Specialist (Cloud Infrastructure and AI Solutions Specialist)

Public Risk Innovation, Solutions, and Management (PRISM)

Folsom, CA • On-site

Full-time

Posted 12 days ago


Job description

PRISM is a joint powers authority (JPA) that provides risk management and coverage programs for public entities throughout California, including 93% of California counties, 77% of California cities, 30 joint powers authorities, educational organizations, special districts, housing authorities, fire districts and 10 national participants through PRISM's captive insurance company. Our organization is member driven meaning that our public entity members have numerous opportunities available to participate in the governance of our JPA.

One of PRISM's greatest assets is its staff. PRISM employees are smart, creative, hard-working, and passionate individuals working in areas ranging from member services, risk control, claims administration, information technology, accounting, and risk pool administration. Working here requires energy, commitment, and teamwork. At the same time, we offer a great work environment built upon our Core Values ofPeople, Families, Trust, Integrity, and Growth. We are looking for an individual who shares these values to join the PRISM team.

The Senior IT Specialist (Cloud Infrastructure and AI Solutions Specialist) is a hands-on technical resource assigned to the Digital Team and shared across the IT Department. The position provides cloud and platform expertise for applications, integrations, and various initiatives. PRISM operates workloads across AWS and Microsoft Azure;, Candidates are not expected to have equal depth in both platforms on day one - strong experience in one cloud platform, sound fundamentals, and demonstrated ability to learn new technologies matter most. Additionally, this position will provide support, along with other IT team members, for Microsoft 365 and Microsoft Fabric environments.

This is an implementation and administration role, not a dedicated cloud architect, infrastructure engineer, database administrator, data engineer, or machine-learning engineer position. PRISM also expects to continue using third-party vendors for large-scale application hosting; this role provides informed internal technical review and coordination rather than replacing those relationships.

As PRISM's use of AI-enabled applications and exploration grows, this role is expected to increasingly help deploy and support hosted AI services within guardrails set by IT leadership. This is a growing part of the position; the role is not expected to build, train, or fine-tune machine-learning models.

A first review of applications will be conducted tentatively on September 8th,and weekly thereafter until the position is filled. Tentative interviews are scheduled for the week of September 15th.

Essential Duties & Responsibilities

A. Cloud Platform Administration & Support

  • Administer and support AWS and Microsoft Azure services (including support for Microsoft 365 and the Azure environment supporting Microsoft Fabric), including configuration and provision for appropriately separated development, test, sandbox, and production environments; day-to-day platform focus will vary by assignment.
  • Support enterprise IaaS, PaaS platforms and SaaS application integrations (APIs, web services, secure authentication, file exchange), including configuration, troubleshooting, and vendor coordination.
  • Support cloud security configuration, monitoring, and compliance; review cloud environments for identity, network, configuration, and cost risks, and remediate issues as needed.
  • Manage cloud subscriptions, resource groups, tagging, cost allocation, and budget monitoring, with particular attention to catching and preventing unexpected cloud spend; implement practical cost guardrails as needed.
  • Identify opportunities to automate administration and deployment processes using scripting, Infrastructure-as-Code, or CI/CD; maintain architecture diagrams, system inventories, and technical documentation, and ensure changes follow established change-management processes.
  • Support Active Directory and Microsoft Entra ID administration (onboarding/offboarding, role-based access control, least-privilege access, single sign-on) and provide Microsoft 365 and SharePoint administration support.

B. AI-Enabled Systems Support

  • Help deploy and support hosted AI services and AI-enabled applications (e.g., Azure OpenAI, AWS Bedrock) within defined security and cost guardrails.
  • Apply cost controls to AI sandbox and experimentation environments to help prevent unexpected spend.
  • Help move validated AI use cases from testing into supportable, production-ready environments.