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Entry Level Machine Learning Engineer Jobs in California

Articul8

Machine Learning Engineer

Dublin, CA · On-site

We are seeking machine learning engineers to join our team full-time. As part of your role, you will help us build pipelines of data collection, data extraction, data filtering/synthetic data ...

Hive

Machine Learning Engineer

San Francisco, CA · On-site

$120K - $180K/yr

Machine Learning Role In order to execute our vision, we need to grow our team of best-in-class machine learning engineers. We are looking for developers who are excited about staying at the ...

Liquid XR

Machine Learning Engineer

Los Angeles, CA · On-site +1

The Role We are seeking a Machine Learning Engineer to develop advanced models for extracting meaningful signals from multimodal time-series data. This role focuses on building robust, real-time ...

S27a

Machine Learning Engineer

San Francisco, CA · On-site

$150 - $200/hr

Maintain, monitor, and enhance deployed machine learning systems to ensure continuous improvement. * Collaborate with software engineers, data scientists, and product teams to integrate AI solutions.

Apple

Machine Learning Engineer (Search)

Cupertino, CA · On-site

$150K - $225K/yr

We are looking for a Machine Learning Engineer to join and play a big part in the next revolution of Maps; to enable users to find more things in innovative ways. On our team, you will have plenty of ...

Voltai

Machine Learning Engineer

Menlo Park, CA · On-site

The Machine Learning Engineer will architect and develop high-performance AI systems, manage large-scale datasets, and translate state-of-the-art research into production-ready code while ...

Gotion, Inc.

Machine Learning Engineer

Fremont, CA · On-site

Role Summary We are seeking a highly motivated Machine Learning Engineer with a strong background in model architecture design and algorithm development, ideally with experience in scientific domains ...

Reducto

Machine Learning Engineer

San Francisco, CA · On-site

They are seeking a Machine Learning Engineer to train and deploy critical models for their core product, focusing on interpreting unstructured data and improving model performance. Responsibilities ...

Apple Inc.

Machine Learning Engineer (Search)

Cupertino, CA · On-site

$150K - $225K/yr

We are looking for a Machine Learning Engineer to join and play a big part in the next revolution of Maps; to enable users to find more things in innovative ways. On our team, you will have plenty of ...

Phase2 Technology

Machine Learning Engineer

El Segundo, CA · On-site

$125 - $150/hr

R0244683 Machine Learning Engineer The Opportunity: As a programmer, you know that machine learning is critical to understanding and processing massive datasets. Your ability to conduct statistical ...

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All JobsMachine Learning Engineer JobsEntry Level Machine Learning Engineer JobsEntry Level Machine Learning Engineer Jobs in California

Entry Level Machine Learning Engineer information

See California salary details

$29.6K

$68.5K

$116.5K

How much do entry level machine learning engineer jobs pay per year?

As of Sep 9, 2026, the average yearly pay for entry level machine learning engineer in California is $68,454.00, according to ZipRecruiter salary data. Most workers in this role earn between $50,800.00 and $77,500.00 per year, depending on experience, location, and employer.

What is an entry level machine learning engineer?

An Entry Level Machine Learning Engineer is responsible for developing, testing, and deploying machine learning models under the guidance of senior engineers. They work with datasets, implement algorithms, and optimize model performance. Their role often involves data preprocessing, feature engineering, and collaborating with data scientists and software engineers. Strong programming skills in Python, knowledge of ML frameworks like TensorFlow or PyTorch, and an understanding of statistics and algorithms are essential. This position serves as a foundation for building expertise in artificial intelligence and data-driven decision-making.

What are some typical projects or tasks an entry level machine learning engineer might work on?

As an Entry Level Machine Learning Engineer, you’ll often work on tasks such as data preprocessing, feature engineering, and assisting in training and evaluating models under the guidance of senior engineers or data scientists. You may help develop prototypes, automate data collection pipelines, and collaborate with software engineers to integrate machine learning solutions into products. Working in this role typically involves frequent collaboration in a team environment, participating in code reviews, and learning best practices for scalable model deployment. These foundational experiences are designed to build your technical expertise and set the stage for future growth within the field.

What are the key skills and qualifications needed to thrive as an entry level machine learning engineer?

To thrive as an Entry Level Machine Learning Engineer, you need a solid understanding of machine learning algorithms, programming languages like Python, and a degree in computer science, engineering, or a related field. Familiarity with tools such as TensorFlow, PyTorch, scikit-learn, and version control systems like Git is highly valuable, and completing online courses or certifications can further demonstrate your skills. Strong analytical thinking, attention to detail, and effective communication are important soft skills in this role. These abilities are essential because they enable you to build accurate models, work collaboratively with teams, and communicate insights to stakeholders.

What are the most commonly searched types of Machine Learning Engineer jobs in California?

The most popular types of Machine Learning Engineer jobs in California are:

What are popular job titles related to Entry Level Machine Learning Engineer jobs in California?

For Entry Level Machine Learning Engineer jobs in California, the most frequently searched job titles are:

What job categories do people searching Entry Level Machine Learning Engineer jobs in California look for?

The top searched job categories for Entry Level Machine Learning Engineer jobs in California are:

What cities in California are hiring for Entry Level Machine Learning Engineer jobs?

Cities in California with the most Entry Level Machine Learning Engineer job openings:

Entry Level Machine Learning Engineer jobs near you
Infographic showing various Entry Level Machine Learning Engineer job openings in California as of August 2026, with employment types broken down into 4% Internship, 82% Full Time, and 14% Contract. Highlights an 74% In-person, 2% Hybrid, and 24% Remote job distribution, with an average salary of $68,454 per year, or $32.9 per hour.

Machine Learning Engineer

Dublin, CA • On-site

Articul8
See more jobs at Articul8external

Full-time

Re-posted 25 days ago

Job description

About us:
At Articul8 AI, we relentlessly pursue excellence and create exceptional AI products that exceed customer expectations. We are a team of dedicated individuals who take pride in our work and strive for greatness in every aspect of our business. We believe in using our advantages to make a positive impact on the world and inspiring others to do the same.
Job Description:
We are seeking machine learning engineers to join our team full-time. As part of your role, you will help us build pipelines of data collection, data extraction, data filtering/synthetic data generation and data analysis. You will own all work related to acquiring high-quality data to power the training of our domain-specific models end to end. You will work closely with other researchers and engineers to empower our next generation of domain-specific models. We value rapid prototyping, iterating, and shipping new systems quickly.
Required Qualifications:
  • BS/MS/PhD in Computer Science or a related field.
  • Proficiency in at least one deep learning framework, such as PyTorch.
  • Experience in machine learning projects in text or vision, e.g., has trained machine learning models to tackle a specific problem.
  • Strong expertise in large stateful distributed systems and data processing.
  • Strong proficiency in building large-scale data processing pipelines, familiar with distributed workload (e.g., multiprocessing, Ray, Docker, Kubernetes).
  • Proficiency in at least one programming language commonly used in machine learning, such as Python and ability to write clean, maintainable code.
  • Excellent problem-solving skills and attention to detail, especially when handling data anomalies and biases to further improve data quality.

Key Competencies
  • Active Github contributions are a big plus.
  • Experience in building large-scale datasets.
  • Familiar with at least one of the following tools for data crawling (e.g. Scrapy), data collection (e.g., VPNs, Selenium), data processing (e.g., Hadoop, Datasketch).
  • Building bespoke data processing libraries from scratch.
  • Keeping up with state-of-the-art techniques for preparing AI training data.
  • Organizing and meticulously bookkeeping data across multiple clouds, of multiple modalities, and from many sources.
  • Multilingual which contributes to enriching the language diversity crucial for robust model training.

Responsibilities:
  • Design and develop data processing pipelines, including data extraction, data filtering, data labeling, etc.
  • Implement machine learning models to improve the quality and diversity of data (especially in the data extraction stage), e.g., quality classifier, document layout model, code verification model, etc.
  • Own and lead engineering projects in the area of data acquisition, including web crawling, data ingestion, and processing.
  • Collaborate with our Applied Research, Technology, and Architecture teams to ensure smooth data flow and system operability.
  • Develop and deploy highly scalable distributed systems capable of handling terrabytes of data.
  • Architect and implement algorithms for data indexing and search capabilities.
  • Build and maintain backend services for data storage, including work with key-value databases and synchronization.
  • Deploy solutions in a Kubernetes Infrastructure-as-Code environment and perform routine system checks.

By joining our team, you become part of a community that embraces diversity, inclusiveness, and lifelong learning. We nurture curiosity and creativity, encouraging exploration beyond conventional wisdom. Through mentorship, knowledge exchange, and constructive feedback, we cultivate an environment that supports both personal and professional development.
Your future experience at Articul8 will include continuous learning and growth opportunities as we embark on an exciting journey to disrupt the status quo. If you're excited about joining a team that's passionate about making a difference, we want to hear from you.
If you're ready to join a team that's changing the game, apply now to become a part of the Articul8 team. Join us on this adventure and help shape the future of Generative AI in the enterprise.

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