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Entry Level Machine Learning Engineer Jobs in Pasadena, CA

Moffitt

Research Software Engineer

Long Beach, CA · On-site

$215K/yr

Summary The Machine Learning Engineer provides an array of services to support the Department of Machine Learning and its Principal Investigators' research portfolio. High level responsibilities ...

Rule14

Be Seen First

Data Scientist Machine Learning

Santa Monica, CA · On-site

$75K - $100K/yr

Develop and train machine learning models for various applications ... Perform feature engineering to enhance model performance * Select appropriate algorithms based on ...

HeyGen

Data Infrastructure Engineer

Los Angeles, CA · On-site

$115K - $151K/yr

Collaborate with data scientists and machine learning engineers to understand their computational and data needs and provide efficient solutions. * Stay up-to-date with the latest industry trends in ...

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All JobsMachine Learning Engineer JobsEntry Level Machine Learning Engineer JobsEntry Level Machine Learning Engineer Jobs in Pasadena, CA

Entry Level Machine Learning Engineer information

See Pasadena, CA salary details

$32.7K

$75.7K

$128.7K

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

As of Aug 17, 2026, the average yearly pay for entry level machine learning engineer in Pasadena, CA is $75,660.00, according to ZipRecruiter salary data. Most workers in this role earn between $56,200.00 and $85,600.00 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 Pasadena, CA?

The most popular types of Machine Learning Engineer jobs in Pasadena, CA are:

What are popular job titles related to Entry Level Machine Learning Engineer jobs in Pasadena, CA?

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

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

The top searched job categories for Entry Level Machine Learning Engineer jobs in Pasadena, CA are:

What cities near Pasadena, CA are hiring for Entry Level Machine Learning Engineer jobs?

Cities near Pasadena, CA 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 Pasadena, CA as of August 2026, with employment types broken down into 5% Internship, and 95% Full Time. Highlights an 80% In-person, 10% Hybrid, and 10% Remote job distribution, with an average salary of $75,660 per year, or $36.4 per hour.

Senior Software Engineer, Machine Learning

ZipRecruiter

Santa Monica, CA • Remote

$140K - $225K/yr

Full-time

Re-posted 7 days ago

ZipRecruiter rating

8.6

Company rating: 8.6 out of 10

ZipRecruiter

Based on 27 frontline employees who took The Breakroom Quiz

8.0

Company rating compared to similar companies: 8.0 out of 10

Software companies average

Based on 4,210 frontline employees who took The Breakroom Quiz

Job description

We offer a hybrid work environment. Most US-based positions can also be performed remotely (any exceptions will be noted in the Minimum Qualifications below.)

Our Mission:

To actively connect people to their next great opportunity.

Who We Are:

ZipRecruiter is a leading online employment marketplace. Powered by AI-driven smart matching technology, the company actively connects millions of all-sized businesses and job seekers through innovative mobile, web, and email services, as well as through partnerships with the best job boards on the web. ZipRecruiter has the #1 rated job search app on iOS & Android.

Summary:

At ZipRecruiter, where a universe of data, brimming with over a billion archived job postings, tens of millions of dynamic job seekers, and countless impression and click events, there's plenty of opportunities for innovation. Here, your experience will be put to work crafting new, data-driven features that impact the lives of millions, connecting them to their dream jobs.

We're tackling exciting challenges: imagine developing a system that can predict salaries for new job postings, using a training set of job postings and known salaries. But the fun doesn't stop at model-building. Our work involves an immersive dive into data - gathering, cleaning, analyzing, and extracting meaningful insights.

Key Focuses:

  • Design, develop, and maintain machine learning models and algorithms to solve complex business problems
  • Identify patterns, trends, and anomalies in the data, and visualize insights using appropriate tools
  • Assess the performance of machine learning models using appropriate metrics, validation techniques, and testing datasets
  • Discover opportunities to optimize models by fine-tuning hyperparameters, feature selection, or employing regularization techniques to improve accuracy, performance, and scalability
Minimum Qualifications:
  • 3+ year of professional software development experience with a focus in machine learning
  • Deep experience in machine learning algorithms, techniques, and best practices
  • Comprehensive computer science fundamentals in coding, object-oriented programming, data structures, and algorithms

Preferred Qualifications:

  • 5+ year of professional software development experience with a focus in machine learning
  • BS/MS/PhD in Mathematics, Computer Science, Physics, related technical field or equivalent practical experience
  • Strong knowledge of machine learning algorithms (e.g., linear regression, SVM, decision trees, neural networks, clustering, etc.) and best practices
  • Experience with machine learning algorithms and frameworks, such as TensorFlow, PyTorch, or scikit-learn
  • Experience with deep learning architectures and techniques, such as Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), Long Short-Term Memory (LSTM), and Generative Adversarial Networks (GANs)
  • Background with NLP techniques and tools, such as tokenization, stemming, lemmatization, sentiment analysis, and named entity recognition, and libraries like NLTK, SpaCy, or BERT

As part of our team you'll enjoy:

  • Competitive compensation
  • Exceptional benefits package
  • Flexible Vacation & Paid Time Off
  • Employer-matched 401(k) plan

#LI-Remote

The US base salary range for this full-time position is $140,000-$225,000. Our salary ranges are determined by role, level, and location, and the range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations. Within the range, individual pay is determined by work location, role-related knowledge and skills, depth of experience, relevant education or training, and additional role-related considerations.

Depending on the position offered, equity, bonuses, commission, or other forms of compensation may also be provided as part of a total compensation package, in addition to a full range of medical, financial, and other benefits.

ZipRecruiter is proud to be an equal opportunity employer and provides equal employment opportunities (EEO) to all employees and applicants without regard to race, color, religion, sex, national origin, age, disability, veteran status, sexual orientation, gender identity or genetics.

Privacy Notice: For information about ZipRecruiter's collection and processing of job applicant personal data for this job, please see our Privacy Notice at: https://www.ziprecruiter.com/careers/job-applicant-privacy-notice

Working at ZipRecruiter

Perks for frontline workers

From ZipRecruiter, via Breakroom

  • Competitive compensation

  • Annual bonus

  • RSUs for certain roles

  • Flexible time off

  • We match a percentage of your 401(k) contributions

  • Generous parental leave

  • Fertility and family-forming benefits

  • Pet insurance

  • Company-paid access to financial planning resources

  • Wellness stipend

  • Internet stipend & home office program

  • Snacks and occasional meals in some offices

  • Employee Resource Groups

  • Employee-driven recognition and rewards program

  • Live town halls

  • Hosted team building activities

About ZipRecruiter, in their own words

From ZipRecruiter

We’re one team with a shared mission—to actively connect people to their next great opportunity. No matter who you are or where you work from, we create an inclusive, respectful environment where everyone can do their best work.

Company values

From ZipRecruiter

Our values shape everything we do.

We are fearless builders, we foster excellence without egos, and our hearts are in it.

Diversity and inclusion statement

From ZipRecruiter

We’re passionate problem-solvers who know diverse perspectives lead to better outcomes. We celebrate wins, learn together, and value the process of working as one team.

What ZipRecruiter employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

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About ZipRecruiter

Sourced by ZipRecruiter

What started as a way to help small businesses find great candidates has grown into a leading online employment marketplace that connects millions of job seekers with companies of all sizes. Our sophisticated Al-matching technology is at the core of everything we do-and by analyzing billions of user interactions, it's always getting smarter. It improves the job search experience for millions of people every month and helps businesses of all sizes find and hire the right candidates quickly. We empower job seekers with the tools they need to stand out and get hired. Like a personal recruiter, we track down relevant opportunities in our marketplace, proactively pitch them to hiring managers at top companies, and deliver status updates along the way. We make it easier for people to find work We match businesses of all sizes with the best people for their open roles. Reaching millions of job seekers through our site, * email, and #1 rated job seeker app, we target the most qualified candidates to apply when a job goes live in our marketplace. The result? More quality candidates and reduced hiring times.

Industry

Software development

Company size

1,001 - 5,000 Employees

Headquarters location

Santa Monica, CA, US

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