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

Operates pouch forming and filling machines. Monitors and tracks fill weights, temperatures, pouch ... Shall become competent in a timely manner of learning all CIP/COP and all sanitation in a manner ...

Filler Operator Assistant

Los Banos, CA · On-site

$19.27 - $25.05/hr

Operates pouch forming and filling machines. Monitors and tracks fill weights, temperatures, pouch ... Shall become competent in a timely manner of learning all CIP/COP and all sanitation in a manner ...

... Machine Learning, and Technical Writing, we consistently exceed expectations in catering to a wide ... Accepts and processes new applications for Medical Staff membership and initiates the data ...

... learning to safely operate heavy equipment including Cable Cutting Machine used for spooling ... current and any new business cases requiring logistics services within the specified shipping ...

Supervisor, Production

Livermore, CA · On-site

$102K - $130K/yr

Health Spending Plans * Comprehensive Online Learning Center - houses thousands of training ... Direct setup and adjustment of machines * Study production schedules and estimate worker hour ...

Manufacturing Engineer 3 - NPI

Livermore, CA · On-site

$130K - $150K/yr

Health Spending Plans * Comprehensive Online Learning Center - houses thousands of training ... Knowledge of complex machining processes and equipment (mill, lathe, screw machine, etc.). * In ...

Showing results 21-40

New Grad Machine Learning information

See Modesto, CA salary details

$26.9K

$44.9K

$92.8K

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

As of Aug 8, 2026, the average yearly pay for new grad machine learning in Modesto, CA is $44,926.00, according to ZipRecruiter salary data. Most workers in this role earn between $34,300.00 and $48,500.00 per year, depending on experience, location, and employer.

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 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 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 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 are popular job titles related to New Grad Machine Learning jobs in Modesto, CA? For New Grad Machine Learning jobs in Modesto, CA, the most frequently searched job titles are:
What job categories do people searching New Grad Machine Learning jobs in Modesto, CA look for? The top searched job categories for New Grad Machine Learning jobs in Modesto, CA are:
What cities near Modesto, CA are hiring for New Grad Machine Learning jobs? Cities near Modesto, CA with the most New Grad Machine Learning job openings:
Infographic showing various New Grad Machine Learning job openings in Modesto, 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 $44,926 per year, or $21.6 per hour.

Market Manager - Northern California

Lotlinx

Modesto, CA

$85K/yr

Full-time

Posted 10 days ago


Job description

Since our founding in 2012, Lotlinx has consistently pioneered advancements in the automotive landscape. We specialize in empowering automobile dealers and manufacturers by providing cutting-edge data and technology, delivering a distinct market advantage for every single vehicle transaction. Today, we stand as the foremost automotive AI and machine learning powered technology, excelling in digital marketing, risk management, and strategic inventory management.

Lotlinx provides employees with a dynamic work environment that is challenging, team-oriented, and full of passionate people. We offer great incentives to our employees, such as competitive compensation and benefits, flex time off, and career development opportunities.

Lotlinx is experiencing tremendous growth and has an exciting opportunity for a Market Manager based in Northern California.

Role details

The Market Manager builds & maintains influential relationships with customers and dealers by creating demand for Lotlinx products, proactively offering solutions. This person will generate sales with new dealerships, increasing market penetration, and contributing revenue. They will work with client launch teams, sales development, account management, and other business partners.

Key Responsibilities

  • Uncover dealer pain points/sales opportunities
  • Align Lotlinx's solutions to the dealer's business needs
  • Build consensus on proposals and secure agreements
  • Ensure dealer activation and smooth transition of the relationship to account management
  • Build and work a sales pipeline
  • Meet activity and revenue targets
  • Use best practices and knowledge of internal or external business issues to improve products/services or processes
  • Act as a resource for colleagues with less experience
  • Additional projects as needed

What You'll Be Doing Day-to-Day

  • Demand Creation: Identify and address the technical needs of complex, emerging, or underpenetrated prospects. Utilize a fundamental understanding of all Lotlinx's solutions to align them with customer business needs. Drive and create new opportunities within assigned accounts.
  • Account Management: Create selling opportunities through a planned discovery process. Develop a well-rounded understanding of customer needs and proficiently translate them into tailored Lotlinx product solutions. Execute solution selling by applying a comprehensive knowledge of Lotlinx products and design processes. Drive profit growth and maximize margins by promoting value-added, long-term solutions with an emphasis on demand creation and engineering.
  • Drive dealership relationships at multiple levels. Grow market share and sales.

What We Are Looking For

  • In-depth knowledge and experience of automotive industry and dealerships
  • Complex problem solver
  • Communicative and high energy
  • Self-motivated and ambitious
  • Well-organized and able to multitask, managing time wisely
  • Team player
  • Revenue-focused
  • Customer-focused
  • Works independently; receives minimal guidance

Requirements

  • Bachelor's degree or equivalent experience
  • 5+ years of sales experience preferred
  • Experience with presentation tools, Salesforce, and Outreach
  • Proven track record of sales success
  • Experience in the automotive industry is required
  • Existing in-market dealer relationships highly preferred

Pay: $85,000 base salary + uncapped commissions

Benefits: Medical, Dental, Vision, Matching 401k

Lotlinx is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.

Lotlinx is not currently able to offer sponsorship for employment visa status.

Lotlinx is headquartered in Peterborough, NH and has locations in Holmdel NJ, Manitoba, Ontario and British Columbia, Canada in addition to a large team spanning from the US to Canada.

Our success relies heavily on our customers but also our dedicated talent that continuously moves our platform forward. We value our employees, their abilities and seek to foster an open, cooperative, dynamic environment where the team and company alike can thrive.