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Internship Full Stack Machine Learning Engineer Jobs in Rocklin, CA

Work with clients to design, develop, and deploy new architectures to support machine learning ... stack The wage range for this role takes into account the wide range of factors that are considered ...

Jr.Java Fullstack Developer

Sacramento, CA

$56 - $72.25/hr

Be it core Java, full-stack Java, Web/UI designers, Big Data or Cloud or Mobility developers/architects, we have them all. 2+ years of JavaScript: Experience coding modular, object-oriented ...

Entry level DevOps Engineer

Sacramento, CA

$56.25 - $77/hr

Be it core Java, full-stack Java, Web/UI designers, Big Data or Cloud or Mobility developers/architects, we have them all. 3-5 years' experience in a Microsoft system admin role supporting systems ...

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 ...

They are seeking a full stack developer who will resolve complex problems and build systems that transition from digital environments into the physical world, primarily serving Department of War ...

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 ...

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Internship Full Stack Machine Learning Engineer information

See Rocklin, CA salary details

$46.3K

$140.2K

$198.2K

How much do internship full stack machine learning engineer jobs pay per year?

As of Jul 16, 2026, the average yearly pay for internship full stack machine learning engineer in Rocklin, CA is $140,194.00, according to ZipRecruiter salary data. Most workers in this role earn between $115,500.00 and $164,400.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Internship Full Stack Machine Learning Engineer, and why are they important?

To succeed as an Internship Full Stack Machine Learning Engineer, you need a solid understanding of programming (Python, JavaScript), basic machine learning concepts, and foundational knowledge in computer science or a related field. Familiarity with frameworks like TensorFlow or PyTorch, web development tools (React, Node.js), and version control systems like Git is typically expected. Strong problem-solving abilities, collaboration skills, and a willingness to learn set exceptional interns apart. These skills enable interns to contribute effectively to both model development and deployment, bridging the gap between data science and software engineering in real-world applications.

What is an Internship Full Stack Machine Learning Engineer?

An Internship Full Stack Machine Learning Engineer is a student or early-career professional who supports both the development of machine learning models and the integration of these models into full-stack applications. This role typically involves working on data preprocessing, building and training machine learning algorithms, and deploying these models within web or mobile applications. Interns in this field gain experience in both backend and frontend technologies, as well as in machine learning frameworks and tools. The position is ideal for those seeking hands-on experience in applying AI solutions within real-world products.

What types of projects and responsibilities can I expect as an Internship Full Stack Machine Learning Engineer?

As an Internship Full Stack Machine Learning Engineer, you can expect to work on end-to-end machine learning projects that involve both model development and integration into web or cloud applications. This may include tasks like cleaning and preparing datasets, building and testing machine learning models, developing APIs to serve predictions, and collaborating with front-end developers to deliver user-facing features. Interns often work closely with data scientists, software engineers, and product managers, gaining exposure to the full development lifecycle. These experiences help build both technical and teamwork skills, laying a strong foundation for a future career in the field.

What is the difference between Internship Full Stack Machine Learning Engineer vs Software Developer Intern?

AspectInternship Full Stack Machine Learning EngineerSoftware Developer Intern
Required SkillsKnowledge of machine learning, programming (Python, JavaScript), full stack development, data handlingProficiency in programming languages (Java, Python, JavaScript), software development, basic algorithms
Work EnvironmentCollaborates on ML models, data pipelines, backend and frontend developmentFocuses on application development, coding, debugging, and testing
Industry UsageUsed in AI-driven companies, tech startups, data science teamsCommon in software firms, app development companies, tech startups

The Internship Full Stack Machine Learning Engineer role emphasizes working with machine learning models and data-driven applications, combining full stack development skills with AI expertise. In contrast, a Software Developer Intern focuses more on traditional software development tasks like coding and debugging. Both roles are valuable entry points in tech, but they target different skill sets and project types.

What are popular job titles related to Internship Full Stack Machine Learning Engineer jobs in Rocklin, CA? For Internship Full Stack Machine Learning Engineer jobs in Rocklin, CA, the most frequently searched job titles are:
What job categories do people searching Internship Full Stack Machine Learning Engineer jobs in Rocklin, CA look for? The top searched job categories for Internship Full Stack Machine Learning Engineer jobs in Rocklin, CA are:
What cities near Rocklin, CA are hiring for Internship Full Stack Machine Learning Engineer jobs? Cities near Rocklin, CA with the most Internship Full Stack Machine Learning Engineer job openings:
Technical Delivery Lead - Applications, Google Cloud

Technical Delivery Lead - Applications, Google Cloud

Accenture

Sacramento, CA • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted yesterday

New


Accenture Federal Services rating

8.4

Company rating: 8.4 out of 10

Based on 19 frontline employees who took The Breakroom Quiz

50th of 451 rated business services


Job description

Who We Are:

We are the Accenture Google Business Group (AGBG) Mid-Market team, a specialized group of engineers, architects, and builders delivering tailored Google Cloud solutions for mid-market, high-growth, and fast-paced enterprises. We partner with dynamic organizations to connect them with the right combination of Accenture solutions and Google Cloud products to accelerate business transformation and solve real-world problems, quickly. We are expanding our team to meet the unique, rapid execution needs of the mid-market segment.

The Domain:

Data and AI are no longer back-office functions-they are the engine of every modern business decision. With the arrival of agentic AI, we are entering a new era: intelligent agents that do not just analyze data but act on it-automating complex workflows, making autonomous decisions, and transforming how companies operate. Google Cloud is leading this shift with the Gemini Enterprise Agent Platform, Vertex AI, and the most powerful data stack in the industry. Our mid-market clients need lean, agile leaders who can unlock massive amounts of untapped data and rapidly turn it into a distinct competitive advantage.

The Role:

You're the person the client trusts to make it happen.

As a Technical Delivery Lead, you own delivery from initial solution shaping through go-live. You design the execution approach for data and AI engagements, lead the implementation, and ensure the final product fundamentally upgrades how the client leverages data and intelligent automation. You are supported by a dedicated offshore engineering team-you set the strategic direction, and they build alongside you. You are the single point of accountability for what ships.

This role is for an execution-focused leader who takes full ownership. You hold yourself to a higher standard than anyone else would, caring deeply about delivery quality, data architecture outcomes, agent design, and speed-to-value for the business. You will work directly with client stakeholders, immersing yourself in their environment, understanding their fast-evolving resource constraints, and delivering outcomes that matter in weeks, not quarters.

What You'll Do:

  • Own the delivery. End-to-end. Scope, timeline, team structure, quality, outcome. You're the single point of accountability the client relies on.

  • Design how it gets delivered. Shape the delivery approach for application modernization engagements, define the migration waves, structure the team across workstreams, set the release cadence, and sequence the work to minimize risk and maximize velocity. Partner with solution engineers who own the technical architecture; you own how it gets built, tested, and shipped.

  • Provide technical advisory across the engagement - Serve as the hands-on expert guiding mid-market clients through technical implementations, architectural trade-offs, and underlying Google Cloud ecosystem services.

  • Be the client's trusted delivery partner. You're the face of the engagement. Lead status reviews, manage expectations, navigate trade-offs in real time, and ensure the client always knows where things stand - especially during complex modernization programs with many moving parts.

  • Get solutions into clients' hands fast. Pick up where the deal ends and make it real. Stand up the delivery, mobilize the team, and drive execution from day one - delivering proven capabilities in weeks, not quarters.

  • Lead across borders. Coordinate onshore delivery leadership with offshore engineering teams. Set priorities, define workstreams, remove blockers, and keep the entire delivery machine moving at pace.

  • Drive quality and outcomes. Establish delivery governance, define checkpoints, manage release quality, and ensure every engagement delivers measurable client value - from successful migrations to production-ready platforms.

Domain Expertise:

  • Data Platforms & Engineering: Advanced proficiency in BigQuery, Dataflow, Pub/Sub, Cloud SQL, Spanner, and Bigtable for data migration, pipeline design, data quality governance, and lakehouse architecture modernizations.

  • Analytics & Business Intelligence: Hands-on experience executing semantic modeling, Looker deployments, connected sheets integrations, and real-time operational dashboards.

  • Artificial Intelligence & Machine Learning: Core understanding of Vertex AI, Gemini models, AutoML, custom model training, and building production-grade MLOps deployment pipelines.

  • Agentic & Generative AI Patterns: Working knowledge of modern agent orchestration patterns, including tool use, grounding mechanisms, Retrieval-Augmented Generation (RAG), Agent Development Kit (ADK), A2A protocol, and Model Context Protocol (MCP).

What Sets You Apart:

  • Google Cloud Certifications: Active Professional Google Cloud certifications (specifically Professional Data Engineer, Professional Machine Learning Engineer, or Professional Cloud Architect).

  • Advanced Agent Deployments: Documented hands-on deployment experience utilizing the Gemini Enterprise Agent Platform to automate complex cross-functional business workflows.

  • Production AI Experience: A proven history of scaling live, production-grade ML/AI systems out of the prototyping stage.

  • Cross-Functional Ecosystem Exposure: Secondary familiarity with adjacent Google domains, such as Google Enterprise for Customer Experience (GECX/CCAI), Google Security Operations, or Gemini Enterprise for Workspace.

Travel may be required for this role. The amount of travel will vary from 25% to 100% depending on business need and client requirements.

What You'll Need:

  • Minimum 7 years in hands-on, client-facing technology roles - you've built and delivered, not just managed.

  • Minimum 5 years architecting and delivering on Google Cloud Platform, with deep expertise in application development, modernization, and cloud-native engineering.

  • You've independently owned client engagements from technical design through go-live.

  • Deep hands-on proficiency with GKE, Apigee, CI/CD pipelines, and modern application architecture - you can design a microservices platform, review a PR, and debug a broken deployment.

  • Strong understanding of software engineering principles - clean code, testing strategies, observability, and operational excellence.

  • Strong in both technical leadership and delivery management - architecture, scope, risk, stakeholders.

  • Experience with distributed global teams and modern engineering practices.

  • Clear communicator - whiteboarding with engineers or presenting to a C-suite.

  • Bachelor's degree or equivalent (minimum 12 years) work experience. (If Associate's Degree, must have minimum 6 years work experience)

Preferred Experience:

  • Bachelor's in CS, Engineering, or related field - or 12 years equivalent experience.

  • Google Cloud Professional certifications (Cloud Architect, Cloud Developer)

  • Hands-on experience with Gemini Code Assist for AI-augmented development workflows

  • Deep expertise in application modernization patterns - strangler-fig, domain-driven design, event sourcing

  • Track record delivering large-scale re-platforming or re-architecture programs on GCP

  • Experience building and operating production Kubernetes platforms at scale

Your Domain Expertise

Primary - Applications

Domain Area

Skills & Technologies

Cloud-Native Architecture

Microservices, event-driven design, 12-factor app patterns, serverless (Cloud Run, Cloud Functions)

Containers & Orchestration

Google Kubernetes Engine (GKE), Docker, Anthos, service mesh (Istio)

API & Integration

Apigee, API gateway design, event-driven integrations, Pub/Sub

DevOps & CI/CD

Cloud Build, Jenkins, GitHub Actions, GitOps, automated testing, release management

App Modernization

Migration assessment, re-platforming, re-architecting, strangler-fig patterns, legacy decomposition

AI-Augmented Development

Gemini Code Assist for code generation, review, and developer productivity

Also Valuable

Domain Area

Skills & Technologies

Infrastructure

Networking, compute, Terraform, landing zones - tightly coupled with app delivery

Data & AI

BigQuery, Vertex AI - data services that apps consume

Customer Engagement

GECX, CCAI - application layer for customer-facing solutions

Cybersecurity

Google Security Operations, Agentic Defense - application security, DevSecOps

Workspace

Gemini Enterprise for Workspace, Apps Script - custom integrations and automations

What We Believe

Inclusion and diversity are fundamental to our culture. Our rich diversity makes us more innovative and creative, which helps us better serve our clients and our communities. Sustainability is one of our greatest responsibilities, embedded into everything we do.

Accenture is committed to providing equal employment opportunities for persons with disabilities. Please let us know if you require reasonable accommodation during the recruitment process


Compensation at Accenture varies depending on a wide array of factors, which may include but are not limited to the specific office location, role, skill set, and level of experience. As required by local law, Accenture provides a reasonable range of compensation for roles that may be hired as set forth below.
We anticipate this job posting will be posted until 08/23/2026.
Accenture offers a market competitive suite of benefits including medical, dental, vision, life, and long-term disability coverage, a 401(k) plan, bonus opportunities, paid holidays, and paid time off. See more information on our benefits here:

U.S. Employee Benefits | Accenture


Role Location Annual Salary Range
California $94,400 to $266,300
Cleveland $87,400 to $213,000
Colorado $94,400 to $230,000
District of Columbia $100,500 to $245,000
Illinois $87,400 to $230,000
Maine $80,400 to $196,000
Maryland $94,400 to $230,000
Massachusetts $94,400 to $245,000
Minnesota $94,400 to $230,000
New York $87,400 to $266,300
New Jersey $100,500 to $266,300
Virginia $87,400 to $245,000
Washington $100,500 to $245,000

About Accenture

Accenture is a leading global professional services company that helps the world's leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services-creating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world's leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360 value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360 value we create for our clients, each other, our shareholders, partners and communities.

Visit us atwww.accenture.com

What We Believe

We have an unwavering commitment to diversity with the aim that every one of our people has a full sense of belonging within our organization. As a business imperative, every person at Accenture has the responsibility to create and sustain an inclusive environment.

Inclusion and diversity are fundamental to our culture and core values. Our rich diversity makes us more innovative and more creative, which helps us better serve our clients and our communities.Read more here

Requesting An Accommodation

Accenture is committed to providing equal employment opportunities for persons with disabilities or religious observances, including reasonable accommodation when needed. If you are hired by Accenture and require accommodation to perform the essential functions of your role, you will be asked to participate in our reasonable accommodation process. Accommodations made to facilitate the recruiting process are not a guarantee of future or continued accommodations once hired.

If you would like to be considered for employment opportunities with Accenture and have accommodation needs such as for a disability or religious observance, please call us toll free at 1 (877) 889-9009 or send us anemailor speak with your recruiter.

Equal Employment Opportunity Statement

We believe that no one should be discriminated against because of their differences.All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, military veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by applicable law.Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities.

For details, view a copy of the Accenture Equal Opportunity Statement

Accenture is an EEO and Affirmative Action Employer of Veterans/Individuals with Disabilities.

Accenture is committed to providing veteran employment opportunities to our service men and women.

Other Employment Statements

Applicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States.

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