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New Grad Machine Learning Jobs in Pleasanton, CA

Tapestry

Machine Learning Engineer

Mountain View, CA · On-site

K., Chile, New Zealand, Australia, and Brazil as they work toward a cleaner, more resilient energy ... About the role: We're looking for an early career Machine Learning Engineer to join our team. In ...

LLNL

Machine Learning (ML) Bioengineer

Livermore, CA · On-site

$9.7K/wk

Support technical activities for new capability development and provide solutions to moderately ... Master's degree in Machine Learning, Computational Biology, Statistics, Computer Science ...

LLNL

Machine Learning (ML) Bioengineer

Livermore, CA · On-site

Support technical activities for new capability development and provide solutions to moderately ... Master's degree in Machine Learning, Computational Biology, Statistics, Computer Science ...

shefsolutionsllc

Machine Learning Engineer

Cupertino, CA · On-site

$143 - $264/hr

Every new product we build, service we create, or Apple Store experience we deliver is the result ... Description We are seeking an experienced Machine Learning Research Engineer to design and apply ...

Apex Systems

Machine Learning Engineer

Pleasanton, CA · On-site

Job#: 3043683 Hey, Pat from Everforth Apex Systems here, with a brand new spot. Working to find an ... Position starts off as a 6 month contract Machine Learning Engineer Location: Pleasanton ...

Apple

Machine Learning Engineer

Sunnyvale, CA · On-site

... Machine Learning Engineer with experience developing ML models for computer vision and graphics ... You will perform applied research development to adapt state-of-the-art methods or implement new ...

Apple

Machine Learning Engineer

Sunnyvale, CA · On-site

We perform applied research development to adapt state-of-the-art methods or implement new methods ... machine learning, computer science, computer engineering or related fields.

Unitytech

Machine Learning Engineer

Mountain View, CA · On-site +1

$117K - $152K/yr

We're looking for a Machine Learning Engineer to join our Offline Infrastructure team. This is an ... new parents through leave and family-care programs | Office food snacks | Mental Health and ...

Gotion, Inc.

Machine Learning Engineer

Fremont, CA

About The Team The Product Development Team at Gotion Illinois New Energy Inc. focuses on the ... Role Summary We are seeking a highly motivated Machine Learning Engineer with a strong background ...

Jobs for Humanity

Machine Learning Engineers

San Jose, CA · On-site

$194K - $355K/yr

TikTok's global headquarters are in Los Angeles and Singapore, and its offices include New York ... machine learning algorithms and experienced in federated learning frameworks and applications ...

Apple Inc.

Machine Learning Engineer

Sunnyvale, CA · On-site

$150.40 - $277.60/hr

Sunnyvale, California, United States -- Machine Learning and AI Our team delivers algorithms that ... new methods to ship features on iOS and VisionOS platforms. In this role, you will work closely ...

Articul8

Machine Learning Engineer

Dublin, CA · On-site

$90 - $130/hr

We value rapid prototyping, iterating, and shipping new systems quickly. Required Qualifications ... Experience in machine learning projects in text or vision, e.g., has trained machine learning ...

Articul8

Machine Learning Engineer

Dublin, CA · On-site

We value rapid prototyping, iterating, and shipping new systems quickly. Required Qualifications ... Experience in machine learning projects in text or vision, e.g., has trained machine learning ...

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Showing results 21-40

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

New Grad Machine Learning information

See Pleasanton, CA salary details

$28.4K

$47.4K

$97.9K

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

As of Aug 22, 2026, the average yearly pay for new grad machine learning in Pleasanton, CA is $47,391.00, according to ZipRecruiter salary data. Most workers in this role earn between $36,200.00 and $51,200.00 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 cities near Pleasanton, CA are hiring for New Grad Machine Learning jobs?

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

New Grad Machine Learning jobs near you
Infographic showing various New Grad Machine Learning job openings in Pleasanton, CA as of August 2026, with employment types broken down into 1% As Needed, 72% Full Time, 26% Part Time, and 1% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $47,391 per year, or $22.8 per hour.

Machine Learning Engineer

Tapestry

Mountain View, CA • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 7 days ago

Tapestry Inc. rating

8.0

Company rating: 8.0 out of 10

Based on 35 frontline employees who took The Breakroom Quiz

1st of 104 rated fashion retailers

Job description

About Tapestry

Tapestry is a group within Google working to build the AI-powered electric grid. We are tackling one of the world's most important infrastructure challenges: helping the energy system become more visible, understandable, reliable, affordable, abundant, and clean.

Originally born at X, Alphabet's moonshot factory, Tapestry brings together experts in energy, AI, software engineering, and products to build tools that help the electricity ecosystem plan smarter, move faster, and operate more efficiently.

This is a global effort. Tapestry supports partners across the U.S., U.K., Chile, New Zealand, Australia, and Brazil as they work toward a cleaner, more resilient energy future.

Joining Tapestry means doing high-impact work with a multidisciplinary team tackling a problem that matters at global scale. Learn more about our team and our mission here.

About the role:

We're looking for an early career Machine Learning Engineer to join our team. In this role you will build and deploy state of the art machine learning models to solve complex challenges that face today's electric grid. You will work closely with other Machine Learning Engineers, Data Scientists and Software Engineers across diverse ML domains spanning multimodal machine learning, information retrieval, natural language processing and agentic AI. 

How you will make 10x impact:

  • Train, and deploy machine learning models in production environments.
  • Work with senior team members to develop enterprise quality ML systems, spanning multiple ML domains 
  • Operationalize ML model training at serving at enterprise scale
  • Stay abreast of the latest advancements in machine learning

What you should have:

  • Master's Degree/Bachelor's Degree in Machine Learning, Computer Science,  Statistics or related field
  • Experience in machine learning model development and  engineering.
  • Expertise in one or more of the following areas: multimodal machine learning NLP or agentic AI, planning, control and reinforcement learning
  • Strong programming skills in Python and experience with ML frameworks like PyTorch or TensorFlow.
  • Experience with building and deploying ML systems at scale, OR  a proven ability to perform  applied ML research and develop the state of the art in an academic setting

It'd be great if you also had these:

  • PhD in Machine Learning, Computer Science, Statistics, or a related field
  • Experience with cloud platforms such as AWS, GCP, or Azure.
  • A strong portfolio of projects demonstrating ML expertise.

Our values

  • Take charge: We take initiative and own outcomes that move the mission forward.
  • Transform with purpose: We build solutions that solve real problems and create meaningful impact.
  • Be a Tapestry, not a thread: We collaborate across diverse skills and perspectives to achieve more than we can individually.
  • Always fine-tune: We stay curious, seek feedback, and refine our understanding as we learn.
  • Stay grounded: We listen openly, value different perspectives, and stay focused on what matters most.

What we offer

A culture that supports growth, ownership, and meaningful impact, along with:

  • Competitive salary and equity
  • Medical, dental, and vision coverage
  • Generous PTO and flexible hybrid work model
  • 401(k) with employer contribution
  • Professional development
  • The ability to work on important real-world problems within an Alphabet-backed environment

The US base salary range for this full-time position is $166,000 - $244,000 + bonus + equity + benefits. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your location during the hiring process.

Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits.

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