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No Experience Machine Learning Jobs in Santa Rosa, CA

PHY Design Verification Engineer

Bodega Bay, CA

$122K - $214K/yr

  • Medical

  • Dental

  • Retirement

Use machine learning and AI technologies to identify design and test bench issues and ensure DV ... Experience of using AI technologies in data mining/analysis. Experience of Palladium/FPGA ...

Sensing HW - Algorithm Systems Engineer

Bodega Bay, CA

$175K - $308K/yr

  • Medical

  • Dental

  • Retirement

... experience Strong background in image/signal processing, estimation/inference, or machine learning Strong engineering math background (e.g. applied linear algebra, probability) Strong programming ...

Sensing HW - Algorithm Systems Engineer

Bodega Bay, CA

$122K - $214K/yr

  • Medical

  • Dental

  • Retirement

... machine learning Strong engineering math background (e.g. applied linear algebra, probability ... experience, and location. Apple employees also have the opportunity to become an Apple shareholder ...

Sensing HW - Algorithm Systems Engineer

Bodega Bay, CA

$175K - $308K/yr

  • Medical

  • Dental

  • Retirement

... experience Strong background in image/signal processing, estimation/inference, or machine learning Strong engineering math background (e.g. applied linear algebra, probability) Strong programming ...

Sensing HW - Algorithm Systems Engineer

Bodega Bay, CA

$122K - $214K/yr

  • Medical

  • Dental

  • Retirement

... machine learning Strong engineering math background (e.g. applied linear algebra, probability ... experience, and location. Apple employees also have the opportunity to become an Apple shareholder ...

AI Data Scientist-Furman lab

Novato, CA · On-site

$60K - $75K/yr

  • Medical

  • Retirement

  • PTO

Demonstrated experience building AI, data science, machine learning, or software engineering systems * Strong proficiency in Python * Experience using large language models, AI APIs, or LLM-based ...

... machine learning (ML), and augmented reality (AR). QinetiQ US's dedicated experts in defense ... If you have the courage to take on a wide variety of complex challenges, then you will experience a ...

Sensing HW Design Electrical Engineer

Bodega Bay, CA

$129K - $225K/yr

  • Medical

  • Dental

  • Retirement

... Machine Learning, and Photography applications that break new ground in Technology and User Experience. This role offer an incredible opportunity to work with and learn from extraordinary team ...

Applied Data Scientist

Santa Rosa, CA · On-site

$117K - $196K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... machine learning. You'll design and implement large-scale data architectures, develop robust data ... Experience in data architecture design , schema governance, or cross-team data standards.

... machine learning (ML), and augmented reality (AR). QinetiQ US's dedicated experts in defense ... If you have the courage to take on a wide variety of complex challenges, then you will experience a ...

Guest Experience Lead (GEL)

Novato, CA · On-site

$18.75 - $24.25/hr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

McDonald's USA has no control over employment matters at the restaurant. McDonald's USA will not ... The Team for Me - Our people want to say YES - to working with energy and purpose, learning new ...

Guest Experience Lead (GEL)

Napa, CA · On-site

$18.25 - $23.50/hr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

McDonald's USA has no control over employment matters at the restaurant. McDonald's USA will not ... The Team for Me - Our people want to say YES - to working with energy and purpose, learning new ...

Guest Experience Lead (GEL)

Novato, CA · On-site

$18.75 - $24.25/hr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

McDonald's USA has no control over employment matters at the restaurant. McDonald's USA will not ... The Team for Me - Our people want to say YES - to working with energy and purpose, learning new ...

Guest Experience Lead (GEL)

Napa, CA · On-site

$18.25 - $23.50/hr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

McDonald's USA has no control over employment matters at the restaurant. McDonald's USA will not ... The Team for Me - Our people want to say YES - to working with energy and purpose, learning new ...

Showing results 41-60

No Experience Machine Learning information

See Santa Rosa, CA salary details

$15

$24

$33

How much do no experience machine learning jobs pay per hour?

As of Aug 16, 2026, the average hourly pay for no experience machine learning in Santa Rosa, CA is $24.95, according to ZipRecruiter salary data. Most workers in this role earn between $21.54 and $27.84 per hour, depending on experience, location, and employer.

What kinds of projects or learning opportunities can I expect in a no experience machine learning role?

In a no experience machine learning role, you will often start by assisting with data preprocessing, exploring datasets, and supporting more experienced engineers on real-world projects. You may also participate in internal trainings, mentorship programs, or hands-on workshops to build up your technical skills. Collaboration is common, so expect regular team meetings and opportunities to pair-program or seek guidance from senior colleagues. Over time, as you gain proficiency, you may be assigned small-scale projects or research tasks, providing a clear pathway to take on more complex responsibilities. This supportive environment is designed to help you gradually develop expertise and advance your career in machine learning.

What are the key skills and qualifications needed to thrive in the no experience machine learning position, and why are they important?

To thrive in an entry-level machine learning role with no prior experience, you should possess a solid understanding of mathematics (especially statistics and linear algebra), basic programming knowledge (often in Python), and a willingness to learn. Familiarity with popular data science tools and frameworks such as scikit-learn, TensorFlow, or online courses and certifications in machine learning is advantageous. Curiosity, problem-solving abilities, and effective communication are soft skills that help you work collaboratively and adapt to new challenges. These attributes are important because they enable quick learning, help you contribute to team projects, and support your growth in a rapidly evolving technical field.

What are the most commonly searched types of Machine Learning jobs in Santa Rosa, CA?

The most popular types of Machine Learning jobs in Santa Rosa, CA are:

What are popular job titles related to No Experience Machine Learning jobs in Santa Rosa, CA?

For No Experience Machine Learning jobs in Santa Rosa, CA, the most frequently searched job titles are:

What job categories do people searching No Experience Machine Learning jobs in Santa Rosa, CA look for?

The top searched job categories for No Experience Machine Learning jobs in Santa Rosa, CA are:

What cities near Santa Rosa, CA are hiring for No Experience Machine Learning jobs?

Cities near Santa Rosa, CA with the most No Experience Machine Learning job openings:

Infographic showing various No Experience Machine Learning job openings in Santa Rosa, CA as of August 2026, with employment types broken down into 50% Full Time, and 50% Part Time. Highlights an 100% In-person job distribution, with an average salary of $51,898 per year, or $25 per hour.

PHY Design Verification Engineer

Apple

Bodega Bay, CA

$122K - $214K/yr

Full-time

Medical, Dental, Retirement

Re-posted 3 days ago


Apple rating

8.0

Company rating: 8.0 out of 10

Based on 677 frontline employees who took The Breakroom Quiz

7th of 30 rated technology retailers


Job description

Would you like to join Apple’s growing wireless silicon development team? Our wireless SoC organization is responsible for all aspects of wireless silicon development with a particular emphasis on highly energy-efficient design and new technologies that transform the user experience at the product level, all of which is driven by a world-class vertically integrated engineering team spanning RF/Analog architecture and design, Systems/PHY/MAC architecture and design, VLSI/RTL design and integration, Design Verification, Emulation, Test and Validation, and FW/SW engineering.
Description
In this highly visible role, you will be at the center of a silicon design group with a critical impact on delivering world-class silicon to empower wireless products for hundreds of millions of customers. As a PHY Design Verification Engineer, you will be responsible for pre-silicon RTL verification of wireless PHY and its interfaces with the rest of the wireless communication SoC. You will interact with DV methodologists, designers, and communication systems engineers to develop reusable testbench and verification environment deploying the latest methodology with metric-driven verification, ensuring the highest design quality.","responsibilities":"Work closely with the system and design teams to review and understand the PHY subsystem microarchitecture, and create verification plans from specifications, review and refine to achieve coverage targets.
Build block/subsystem level test benches with a reference model, using the best-in-class DV methodology. Architect test benches with maximum reusability in mind.
Develop and execute both directed and constrained random tests, debug failures, manage bug tracking, and work with designers to drive closure of issues found.
Create and analyze block/subsystem-level coverage models, and add test cases to increase coverage.
Use machine learning and AI technologies to identify design and test bench issues and ensure DV quality.
Support PHY subsystem validation using Palladium and/or FPGA.
Work with team members to improve DV methodology and flow.
Preferred Qualifications
MSEE with 2+ years of verification experience of wireless/wired communication block/subsystem.
Advanced knowledge of Verilog, SystemVerilog, UVM, and SystemVerilog Assertion.
Excellent knowledge and experience of ASIC verification flows including test bench development, constrained random testing, and code/functional coverage.
Experience of using Matlab/C reference model and bit-accurate verification.
Verification experience of wireless/wired communication block/subsystem.
Knowledge of wireless protocols such as Bluetooth, UWB, WLAN, or Zigbee.
Proficient in shell and Python scripting, Perl scripting.
Experience of using AI technologies in data mining/analysis.
Experience of Palladium/FPGA validation.
Should be a team player with excellent communication skills, self-motivated and well organized.
Minimum Qualifications
Minimum requirement of a bachelors degree
Pay & Benefits
At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $122,700 and $214,300, and your base pay will depend on your skills, qualifications, experience, and location.
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

What Apple employees say

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Get the full story on Breakroom


Apple logo

About Apple

Sourced by ZipRecruiter

Imagine what you could do here! At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Dynamic, intelligent people and inspiring, innovative technologies are the norm here. The people who work here have reinvented entire industries with all Apple Hardware products. The same real passion for innovation that goes into our products also applies to our practices strengthening our dedication to leave the world better than we found it.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Cupertino, CA, US

Year founded

1976