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New Grad Machine Learning Jobs in Pleasanton, CA

Apple

Machine Learning Engineer

Sunnyvale, CA

$150K - $277K/yr

... 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

$184K - $324K/yr

We perform applied research development to adapt state-of-the-art methods or implement new methods ... machine learning or related field PhD in computer vision, computer graphics, machine learning ...

Gotion, Inc.

Machine Learning Engineer

Fremont, CA · On-site

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 ...

Apple

Machine Learning Engineer (Search)

Cupertino, CA

$150K - $225K/yr

As a fundamental tool for human activity, Maps technology is evolving and new techniques are emerging. We are looking for a Machine Learning Engineer to join and play a big part in the next ...

Jobzhr

Machine Learning Engineer, Drive

Sunnyvale, CA · On-site

$168 - $247/hr

Partner closely with software engineers, product managers, data scientists, and platform teams to bring new machine learning capabilities into production at scale. You'll have the opportunity to work ...

Adobe, Inc.

Machine Learning Engineer

San Jose, CA · On-site

Collaborate with product management and engineering groups to develop new products and features ... Good understanding of machine learning, deep learning, or data analytics concepts. * Excellent ...

Jobs for Humanity

Machine Learning Engineers

San Jose, CA

$136K - $280K/yr

Tiktok Machine Learning Engineer (Search) - E-commerce - San JoseSan JoseRegularR DJob ID: A162279 ... TikTok has global offices including Los Angeles, New York, London, Paris, Berlin, Dubai, Singapore ...

Spark Tek Inc

Machine Learning Engineer

San Jose, CA · On-site

Spark Tek Inc is seeking a highly skilled Machine Learning Engineer to design and build a low ... new skills, applications, and entities Preferred : • Prior experience in enterprise support ...

LLNL

Machine Learning Researcher

Livermore, CA · On-site

Research, develop, implement, and evaluate new machine learning and data analysis techniques for multiple applications in a collaborative scientific environment. * Actively participate with project ...

LLNL

Machine Learning Researcher

Livermore, CA · On-site

Research, develop, implement, and evaluate new machine learning and data analysis techniques for multiple applications in a collaborative scientific environment. * Actively participate with project ...

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Showing results 41-60

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.

AI / Machine Learning Talent

Ensemble Health Partners, Inc.

San Jose, CA • On-site

Full-time

Medical, Retirement

Re-posted yesterday

Ensemble Health Partners rating

6.6

Company rating: 6.6 out of 10

Based on 246 frontline employees who took The Breakroom Quiz

139th of 151 rated financial services

Job description

Thank you for considering a career at Ensemble!
Ensemble is a leading provider of technology-enabled revenue cycle management solutions for health systems, including hospitals and affiliated physician groups. They offer end-to-end revenue cycle solutions as well as a comprehensive suite of point solutions to clients across the country.
Ensemble keeps communities healthy by keeping hospitals healthy. We recognize that healthcare requires a human touch, and we believe that every touch should be meaningful. This is why our people are the most important part of who we are. By empowering them to challenge the status quo, we know they will be the difference!
O.N.E Purpose:
  • Customer Obsession: Consistently provide exceptional experiences for our clients, patients, and colleagues by understanding their needs and exceeding their expectations.
  • Embracing New Ideas: Continuously innovate by embracing emerging technology and fostering a culture of creativity and experimentation.
  • Striving for Excellence: Execute at a high level by demonstrating our "Best in KLAS" Ensemble Difference Principles and consistently delivering outstanding results.

The Opportunity:
AI Lab - AI/ML Opportunities
Location: San Jose, CA (Hybrid - Onsite 3x per week on Tues, Wed, Thurs)
About Ensemble's AI Lab
Ensemble Health Partners is the leading Revenue Cycle Management (RCM) partner to U.S. health systems. We sit between hospitals, payers, and patients, and we are responsible for billions of dollars of healthcare revenue moving accurately and on time. AI is increasingly central to how we do that work - from predicting denials and automating coding to flagging payment integrity issues and routing accounts to the right action at the right time. These roles exists where those AI systems meet the business outcomes we are paid to deliver.
We are continuously building a pipeline of exceptional AI/ML talent across research, data science, and engineering. This general application allows candidates to be considered for multiple roles across the AI Lab. Final role alignment (e.g., Data Scientist, AI Research Scientist, Machine Learning Engineer) and leveling will be determined based on interview performance, experience, and team needs.
What You'll Work On
Depending on your background and strengths, you may:
  • Design, build, evaluate, and improve machine learning and AI systems in production environments
  • Translate business problems into AI/ML solutions and measurable outcomes
  • Develop and run experiments to evaluate models, including defining metrics, datasets, and success criteria
  • Productize models into scalable, reliable, and cost-efficient services
  • Optimize training and inference performance (latency, throughput, cost)
  • Analyze real-world system behavior and production data to drive continuous improvements
  • Partner cross-functionally with engineering, product, and domain experts to deliver end-to-end solutions
  • Contribute to AI research, experimentation, and adoption of new techniques where applicable
  • Communicate findings, tradeoffs, and recommendations clearly to both technical and non-technical stakeholders

What We're Looking For
We are hiring across a range of profiles, but strong candidates will demonstrate:
  • Proven experience working with machine learning or AI systems in real-world or production settings
  • Strong problem-solving skills and ability to operate in ambiguous, evolving environments
  • Ability to connect technical work to measurable business or product outcomes
  • Experience collaborating across teams (engineering, product, data, or research)
  • Ownership mindset-taking work from idea through execution and impact

Technical Skills (vary by role)
Candidates may have experience with some combination of:
  • Programming: Python (required), plus familiarity with SQL and other languages (e.g., Java, C++, Go)
  • Machine Learning: Model development, evaluation, and optimization
  • Deep Learning: Frameworks such as PyTorch, TensorFlow, Hugging Face
  • LLMs & Modern AI: Fine-tuning, prompt engineering, evaluation frameworks, or emerging techniques (e.g., PEFT, RLHF)
  • Data & Analytics: Statistics, experimentation, causal inference, and working with real-world datasets
  • Systems & Infrastructure (Engineer-leaning candidates):
    • Model serving, APIs, and distributed systems
    • Training at scale (e.g., multi-GPU / distributed training)
    • Performance optimization and cost efficiency
  • Research (Research-leaning candidates):
    • Experiment design, evaluation rigor
    • Reading and applying state-of-the-art research
    • Publication or novel contributions (preferred, not required)

Qualifications
  • Bachelor's degree in Computer Science, Engineering, Data Science, Mathematics, or related field required
  • Master's or PhD preferred for certain roles (especially research-oriented positions), but not required for all paths
  • Relevant industry experience typically ranges from 3+ years (Senior) to advanced leadership/ownership experience (Staff/Principal)

The base salary range for these roles is $154,100 to $341,600.
Join an award-winning company
Five-time winner of "Best in KLAS" 2020-2022, 2024-2025
Black Book Research's Top Revenue Cycle Management Outsourcing Solution 2021-2024
22 Healthcare Financial Management Association (HFMA) MAP Awards for High Performance in Revenue Cycle 2019-2024
Leader in Everest Group's RCM Operations PEAK Matrix Assessment 2024
Clarivate Healthcare Business Insights (HBI) Revenue Cycle Awards for strong performance 2020, 2022-2023
Energage Top Workplaces USA 2022-2024
Fortune Media Best Workplaces in Healthcare 2024
Monster Top Workplace for Remote Work 2024
Great Place to Work certified 2023-2024
  • Innovation
  • Work-Life Flexibility
  • Leadership
  • Purpose + Values

Bottom line, we believe in empowering people and giving them the tools and resources needed to thrive. A few of those include:
  • Associate Benefits - We offer a comprehensive benefits package designed to support the physical, emotional, and financial health of you and your family, including healthcare, time off, retirement, and well-being programs.
  • Our Culture - Ensemble is a place where associates can do their best work and be their best selves. We put people first, last and always. Our culture is rooted in collaboration, growth, and innovation.
  • Growth - We invest in your professional development. Each associate will earn a professional certification relevant to their field and can obtain tuition reimbursement.
  • Recognition - We offer quarterly and annual incentive programs for all employees who go beyond and keep raising the bar for themselves and the company.

Ensemble is an equal employment opportunity employer. It is our policy not to discriminate against any applicant or employee based on race, color, sex, sexual orientation, gender, gender identity, religion, national origin, age, disability, military or veteran status, genetic information or any other basis protected by applicable federal, state, or local laws. Ensemble also prohibits harassment of applicants or employees based on any of these protected categories.
Ensemble provides reasonable accommodations to qualified individuals with disabilities in accordance with the Americans with Disabilities Act and applicable state and local law. If you require accommodation in the application process, please contact TA@ensemblehp.com.
This posting addresses state specific requirements to provide pay transparency. Compensation decisions consider many job-related factors, including but not limited to geographic location; knowledge; skills; relevant experience; education; licensure; internal equity; time in position. A candidate entry rate of pay does not typically fall at the minimum or maximum of the role's range.
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