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Day Shift No Experience Machine Learning Jobs in California

shefsolutionsllc

Machine Learning Engineer

Cupertino, CA · On-site

$143 - $264/hr

Description We are seeking an experienced Machine Learning Research Engineer to design and apply state-of-the-art research in machine learning for data-centric problems! Your responsibilities will ...

NTENT

Machine Learning Engineer

Carlsbad, CA · On-site

Experience in other programming languages (eg. Java, R, Haskell) a plus. * Solid knowledge of machine learning tools (eg. scikit-learn, tensorflow, keras, pytorch, Spark MLlib) required. * Experience ...

NTENT

Machine Learning Engineer

Carlsbad, CA

Experience in other programming languages (eg. Java, R, Haskell) a plus. * Solid knowledge of machine learning tools (eg. scikit-learn, tensorflow, keras, pytorch, Spark MLlib) required. * Experience ...

Qualcomm

Machine Learning Researcher

San Diego, CA · On-site

$159.10 - $238.70/hr

OR PhD in Computer Engineering, Computer Science, Electrical Engineering, or related field. * 6+ months of academic and/or work experience developing and/or optimizing machine learning models ...

General Atomics

Machine Learning Engineer

Poway, CA · On-site

Have a growth mindset and be comfortable in a setting where milestones shift often due to customer ... Experience in AI frameworks such as Tensorflow and pyTorch. * Excellent verbal and written ...

Qualcomm

Machine Learning Researcher

San Diego, CA · On-site

OR PhD in Computer Engineering, Computer Science, Electrical Engineering, or related field. • 6+ months of academic and/or work experience developing and/or optimizing machine learning models ...

MSCI Inc

Machine Learning Researcher

San Francisco, CA · On-site

$120 - $170/hr

MSCI is establishing a Machine Learning Center of Excellence within the Research & Development team to develop machine learning models that power investment tools for institutional clients. We are ...

BeeGenius

AI/Machine Learning Engineer

Sunnyvale, CA · On-site

D. in Computer Science, Data Science, or a related field • Strong programming skills in Python or R • Experience with machine learning frameworks (e.g., TensorFlow, PyTorch) • Knowledge of ...

Wajo AI

Machine Learning Engineer

San Francisco, CA · On-site

Day-to-day responsibilities include developing and optimizing machine learning algorithms, building ... Beneficial experience includes prior work on real-world autonomous systems or agents, applied ...

New

Winaxis

Machine Learning Engineer

Fremont, CA · On-site

Real-world experience deploying and maintaining machine learning solutions in production environments. Passion for clean, sustainable, and modular code to bring research concepts to practical ...

S27a

Machine Learning Engineer

San Francisco, CA · On-site

$140 - $210/hr

Research, design, and implement machine learning algorithms to optimize workflow automation ... Experience with modern deep learning models, particularly large language models (LLMs) and ...

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All JobsDay Shift Machine Learning JobsDay Shift No Experience Machine Learning JobsDay Shift No Experience Machine Learning Jobs in California

Day Shift No Experience Machine Learning information

What is the difference between Day Shift No Experience Machine Learning vs Data Analyst?

AspectDay Shift No Experience Machine LearningData Analyst
Required CredentialsBasic understanding of algorithms, no formal degree neededBachelor's in related field often preferred
Work EnvironmentTech companies, startups, or research labsCorporate offices, consulting firms, or finance
Employer & Industry UsageTech, AI, and software industriesBusiness, marketing, finance, and healthcare
Common Search & Comparison IntentEntry-level, no experience, beginner rolesData analysis, reporting, entry-level data jobs

While both roles may require basic technical skills, Day Shift No Experience Machine Learning positions focus on understanding algorithms and models with minimal experience, often in tech environments. Data Analysts typically analyze data sets to generate reports and insights, often requiring a degree. The roles differ in industry focus and skill sets but share an entry-level nature for those starting in data-related fields.

How to get into day shift no experience machine learning?

To get into a day shift machine learning role with no experience, focus on building foundational skills in programming languages like Python, understanding basic machine learning concepts, and gaining familiarity with tools such as scikit-learn or TensorFlow. Entry-level positions often require a relevant degree or certification, and demonstrating a willingness to learn through online courses or projects can improve your chances.

What cities in California are hiring for Day Shift No Experience Machine Learning jobs?

Cities in California with the most Day Shift No Experience Machine Learning job openings:

Day Shift No Experience Machine Learning jobs near you
Infographic showing various Day Shift No Experience Machine Learning job openings in California as of August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 19% Part Time, and 5% Contract. Highlights an 92% Physical, 2% Hybrid, and 6% Remote job distribution.

Machine Learning Engineer

shefsolutionsllc

Cupertino, CA • On-site

$143 - $264/hr

Other

Medical, Dental, Retirement

Posted 21 days ago

Job description

Apple is where individual imaginations gather together, committing to the values that lead to great work. Every new product we build, service we create, or Apple Store experience we deliver is the result of us making each other’s ideas stronger. That happens because every one of us shares a belief that we can make something wonderful and share it with the world, changing lives for the better. It’s the diversity of our people and their thinking that inspires the innovation that runs through everything we do. When we bring everybody in, we can do the best work of our lives. Here, you’ll do more than join something – you’ll add something.

Description

We are seeking an experienced Machine Learning Research Engineer to design and apply state-of-the-art research in machine learning for data-centric problems! Your responsibilities will extend to the design and development of a comprehensive data selection, curation and annotation framework for multimodal foundation models at apple. We are looking for people passionate about innovating and applying ML algorithms that enable us to create high-quality and impactful datasets. As part of this role, you will explore and research solutions that allow us to optimize the recipes for training foundation models at scale for various capabilities. You will also work on setting up comprehensive evaluation pipelines that allow us to measure and benchmark progress of foundation models.

Minimum Qualifications

  • BS and a minimum of 3 years relevant industry experience
  • Demonstrated expertise in computer vision, natural language processing, and machine learning with a passion for data-centric machine learning.
  • Deep understanding and expertise in multi-modal foundation models.
  • Staying on top of emerging trends in generative AI and multi-modal LLM.
  • Strong programming skills and hands-on experience using the following languages or deep learning frameworks: Python, PyTorch, or Jax.

Preferred Qualifications

  • Familiarity with end-to-end Machine Learning Lifecycle
  • Demonstrated evidence of prior experience and expertise in data-centric machine learning research
  • Strong problem-solving and communication skills.
  • Ph.D/MS degree in Machine Learning, Natural Language Processing, Computer Vision, Data Science, Statistics or related areas

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 $143,100 and $264,200, 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.

Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant.

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