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

Jr. AI Engineer

Pleasanton, CA · On-site

$110K - $140K/yr

Utilize cutting-edge technologies such as machine learning, natural language processing (NLP ... of new AI-powered solutions. * Work closely with product designers to define requirements ...

Jr. AI Engineer

Pleasanton, CA · On-site

$110K - $140K/yr

Utilize cutting-edge technologies such as machine learning, natural language processing (NLP ... of new AI-powered solutions. * Work closely with product designers to define requirements ...

Data Science Engineer

Livermore, CA · On-site

$134K - $161K/yr

Design, develop, and apply machine learning and data science algorithms, including deep learning ... Discover and pioneer new approaches to data science problems, pushing the boundaries of current ...

Knowledge of a variety of machine learning techniques (clustering, decision tree learning ... A drive to learn and master new technologies and techniques. * We're looking for someone with ...

Data Science Engineer

Livermore, CA · On-site

$134K - $161K/yr

Design, develop, and apply machine learning and data science algorithms, including deep learning ... Discover and pioneer new approaches to data science problems, pushing the boundaries of current ...

Design, develop, and apply machine learning and data science algorithms, including deep learning ... Discover and pioneer new approaches to data science problems, pushing the boundaries of current ...

You Will * Design, develop, and deploy machine learning and Generative AI solutions to solve ... Evolving culture with the opportunity to drive new ideas and technology * Stock Option Grants

Research Scientist

Tracy, CA · On-site

$200 - $320/hr

... new technologies translate seamlessly into scalable, production-ready systems. Qualifications * Education: Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, Computer Vision, or a ...

New

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New Grad Machine Learning information

See Tracy, CA salary details

$27.4K

$45.8K

$94.7K

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

As of Aug 21, 2026, the average yearly pay for new grad machine learning in Tracy, CA is $45,841.00, according to ZipRecruiter salary data. Most workers in this role earn between $35,000.00 and $49,500.00 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 Tracy, CA?

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

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

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

What cities near Tracy, CA are hiring for New Grad Machine Learning jobs?

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

Infographic showing various New Grad Machine Learning job openings in Tracy, CA as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 23% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $45,841 per year, or $22 per hour.

Jr. AI Engineer

Vagaro

Pleasanton, CA • On-site

$110K - $140K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 6 days ago


Vagaro rating

6.2

Company rating: 6.2 out of 10

Based on 8 frontline employees who took The Breakroom Quiz

220th of 245 rated software companies


Job description

Why Vagaro? At Vagaro, we believe in fostering a collaborative and inclusive work environment where every team member can thrive. Our culture is built on innovation, continuous learning, and a passion for making a positive impact. We support our employees' growth and vision for themselves, offering opportunities for professional development and career advancement. Join us and be part of a team that values creativity, teamwork, and a commitment to excellence. Plus, we know how to have fun while getting the job done!

What you'll Be Doing: We are seeking a motivated Jr. AI Engineer to join our growing AI team. The ideal candidate is eager to learn, has a strong foundation in generative AI, machine learning, data science, and software engineering, and is excited to help build innovative AI solutions for the health, beauty, and wellness industry.

*This role is based onsite in Pleasanton, CA Monday through Friday*

Compensation

  • Base Annual Salary: $110,000 - $140,000
  • Annual Bonus: Up to 10%

Your Impact:

  • Conduct research, design, and develop generative AI-driven features and experiences customized to the unique preferences and behaviors of our users.
  • Utilize cutting-edge technologies such as machine learning, natural language processing (NLP), computer vision, and other AI methodologies to improve product functionality
  • Collaborate effectively with cross-functional teams to seamlessly integrate AI capabilities into existing products and pioneer the development of new AI-powered solutions.
  • Work closely with product designers to define requirements, prioritize features, and craft intuitive user interfaces for AI-powered features.
  • Implement, test, and deploy scalable machine learning solutions in production.
  • Stay current with the latest advancements in machine learning and artificial intelligence.

What you Bring:

  • 0 - 2 years preferable, hands-on experience in developing Agentic, LLM and NLP based applications
  • Proficient in machine learning, deep learning, and generative AI techniques
  • Proficiency in Python
  • Some experience with public cloud platforms (AWS, GCP or Azure) and containerization technologies (Docker, Kubernetes).
  • Strong problem-solving skills to devise innovative and creative AI solutions.
  • Excellent communication and collaboration skills in a fast-paced environment.

Why You'll Love Working Here:

  • Attractive Compensation & Performance Bonuses: Enjoy a competitive salary paired with performance-based bonuses
  • Generous PTO: 15 accrued days, plus 10 company holidays annually.
  • Health & Wellness: Comprehensive healthcare, dental, and vision plans for you and your family.
  • Exclusive Perks: Discounts on attractions, theme parks, shows, sports events, movies, hotels, and more through TicketsAtWork.
  • Beauty Perks: $30/month reimbursement for any Vagaro service, including health, beauty, or wellness treatments.
  • Food Perks: $50 monthly stipend for our onsite microkitchen and a complimentary DoorDash DashPass subscription.
  • Growth Opportunities: College Assistance Reimbursement, access to EAP & Work/Life Programs, and a LinkedIn Learning account.
  • Financial Security: 401k program with 4% matching and optional life/supplemental insurance.
  • Stay Active: Access to our on-site gym, flavored water dispenser, and basketball court to keep you fit and energized!

Equal Opportunity Employer:
Vagaro is proud to be an Equal Employment Opportunity and affirmative action employer. We foster an inclusive environment where individuals are evaluated without discrimination based on gender, race, ethnicity, age, disability, religion, sexual orientation, gender identity, veteran status, or any other characteristics protected by law.

Privacy Policy:
Your privacy matters! At Vagaro, we are committed to protecting your personal information. Before proceeding with your application, please review our Employee and Applicant Privacy Notice here. By submitting your application, you acknowledge that you have read and understood our Privacy Notice, which outlines how we collect, use, disclose, and protect your information during the recruitment and employment process.

Vagaro is an E-Verify employer. Learn more at www.e-verify.gov

Learn More About Vagaro:
Visit us at vagaro.com/pro and vagaro.com to learn more.]


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