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Machine Learning Engineer New Grad Jobs in California

MM International

Machine Learning Engineer

Fremont, CA · On-site

Machine Learning Engineer Location: Fremont, CA once the documents are verified, a Codility assessment will be shared with the candidate, where they need to score a minimum of 70% and post that, a ...

Pattern AI

Machine Learning Engineer

San Mateo, CA · On-site +1

Company Description PatternAI is an automated machine learning platform that reveals critical patterns in data for narrow business problems. We're seeking an outstanding ML Engineer to join our data ...

Poesis

Machine Learning Engineer

San Francisco, CA · On-site

$200K - $280K/yr

We're building a new type of firm, where live capital is the training ground for an intelligence ... We're looking for an exceptional Machine Learning Engineer to help build the systems that make this ...

Apple

Machine Learning Engineer

Cupertino, CA · On-site

As a Machine Learning Engineer, you will design and build cutting-edge AI/ML systems that drive meaningful business outcomes at scale. You will work cross-functionally to bring innovative machine ...

PhysicsX

Machine Learning Engineer

San Francisco, CA · On-site

We have hybrid offices in London, New York, and Singapore; this role is hybrid based in the San Francisco area. This Role As a Machine Learning Engineer, you'll work closely with our Data Scientists ...

Adobe, Inc.

Machine Learning Engineer

San Jose, CA · On-site

The Opportunity Adobe is looking for a Machine Learning Engineer who will apply AI and machine ... Collaborate with product management and engineering groups to develop new products and features.

Goodfire

Machine Learning Engineer

San Francisco, CA · On-site

They are seeking a Machine Learning Engineer to contribute to the development of tools and ... new machine learning workflows and pipelines into our product and deploy to customers. • Ensure ...

Adobe

Machine Learning Engineer

San Jose, CA

The Opportunity Adobe is looking for a Machine Learning Engineer who will apply AI and machine ... Collaborate with product management and engineering groups to develop new products and features.

PhysicsX

Machine Learning Engineer

San Francisco, CA · On-site +1

We have hybrid offices in London, New York, and Singapore; this role is hybrid based in the San Francisco area. This Role As a Machine Learning Engineer, you'll work closely with our Data Scientists ...

Hadrian

Machine Learning Engineer

Los Angeles, CA · On-site

As a Senior Machine Learning Engineer, you will play a key role in designing, building, and scaling advanced software systems to automate Design for Manufacturing analysis. Responsibilities : • ...

Apple

Machine Learning Engineer

San Diego, CA · On-site

Apple's Health Sensing team is seeking a versatile Machine Learning Engineer to develop next ... new tools to multi-modal sensor fusion problems in health and wellness. You will work across the ...

Atoms

Machine Learning Engineer

Mountain View, CA · On-site

As a Machine Learning Engineer, you'll be an integral part of building out the state-of-the-art AI intelligence engine and applications for the food industry. Responsibilities : • Leverage cutting ...

Apple

Machine Learning Engineer

Sunnyvale, CA

$184K - $324K/yr

... Machine Learning Engineer with experience developing ML models for computer vision and graphics ... We perform applied research development to adapt state-of-the-art methods or implement new methods ...

Apple

Machine Learning Engineer

Sunnyvale, CA

$150K - $277K/yr

... Machine Learning Engineer with experience developing ML models for computer vision and graphics ... You will perform applied research development to adapt state-of-the-art methods or implement new ...

Skild AI

Machine Learning Engineer

San Mateo, CA · On-site

Position Overview We are looking for a Machine Learning Engineer to be responsible for designing and implementing cutting-edge reinforcement learning algorithms, conducting experiments, and ...

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All JobsMachine Learning Engineer New Grad JobsMachine Learning Engineer New Grad Jobs in California

Machine Learning Engineer New Grad information

See California salary details

$31.1K

$127.1K

$191K

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

As of Jul 12, 2026, the average yearly pay for machine learning engineer new grad in California is $127,083.00, according to ZipRecruiter salary data. Most workers in this role earn between $100,200.00 and $153,000.00 per year, depending on experience, location, and employer.

What is a Machine Learning Engineer New Grad job?

A Machine Learning Engineer New Grad job is an entry-level role for recent graduates specializing in machine learning and artificial intelligence. It typically involves developing, training, and deploying machine learning models, working with large datasets, and optimizing algorithms for performance. New grads in this role often collaborate with data scientists, software engineers, and product teams to integrate models into applications. Employers look for proficiency in programming (Python, TensorFlow, PyTorch), a strong foundation in ML concepts, and experience with data processing. This role provides an opportunity to gain hands-on industry experience and grow technical skills in real-world applications.

What are the key skills and qualifications needed to thrive in the Machine Learning Engineer New Grad position, and why are they important?

To thrive as a Machine Learning Engineer New Grad, a strong background in computer science, statistics, and mathematics, often supported by a relevant degree, is essential. Familiarity with programming languages like Python or Java, machine learning frameworks (such as TensorFlow or PyTorch), and basic knowledge of data tools and cloud platforms is typically required. Effective problem-solving, eagerness to learn, and clear communication help new grads excel when collaborating on projects and learning from senior team members. These skills and qualities are vital for adapting quickly, contributing to team goals, and building a successful foundation in this fast-evolving technical field.

What are the typical day-to-day tasks of a Machine Learning Engineer New Grad?

As a Machine Learning Engineer New Grad, your daily tasks often include collecting and preprocessing data, developing and testing machine learning models, and analyzing model performance. You may work closely with data scientists and software engineers to integrate models into production systems and address real-world business problems. Participating in team meetings, code reviews, and collaborative projects is common, providing opportunities to learn best practices and receive mentorship. This hands-on, varied workload helps you quickly build technical and collaborative skills early in your career.

What are the most commonly searched types of Machine Learning Engineer New Grad jobs in California? The most popular types of Machine Learning Engineer New Grad jobs in California are:
What are popular job titles related to Machine Learning Engineer New Grad jobs in California? For Machine Learning Engineer New Grad jobs in California, the most frequently searched job titles are:
What job categories do people searching Machine Learning Engineer New Grad jobs in California look for? The top searched job categories for Machine Learning Engineer New Grad jobs in California are:
What cities in California are hiring for Machine Learning Engineer New Grad jobs? Cities in California with the most Machine Learning Engineer New Grad job openings:
Machine Learning Engineer New Grad jobs near you
Infographic showing various Machine Learning Engineer New Grad job openings in California as of July 2026, with employment types broken down into 92% Full Time, 4% Part Time, 1% Temporary, and 3% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $127,083 per year, or $61.1 per hour.
Machine Learning Engineer

Machine Learning Engineer

MM International

Fremont, CA • On-site

Contractor

Posted 9 days ago

Job description

Role: Machine Learning Engineer

Location: Fremont, CA 

 

once the documents are verified, a Codility assessment will be shared with the candidate, where they need to score a minimum of 70% and post that, a general video screening with PV. Then we send the submission to the client

About the Role:

Our direct client is hiring a Machine Learning Engineer for their software machine learning and computer vision team to design, develop, and implement critical machine learning models supporting factory and warehouse operations. You will transform ambiguous problem statements into robust end-to-end solutions using a variety of machine learning techniques and tools, including supervised learning, convolutional neural networks, and modern frameworks such as PyTorch and Pandas.

You will collaborate closely with partners in production, process, controls, and quality to deliver solutions for the most challenging problems in our operations. Your work will involve evaluating and deploying models in production environments, ensuring rapid and reliable alerting systems, and addressing operational issues as they arise. You must be adept at handling diverse, heterogeneous datasets that span multiple modalities, including images, multi-spectral sensor outputs, voice, text, and tabular data.

Responsibilities

  • Design, develop, and deploy machine learning models for factory and warehouse environments.
  • Collaborate with cross-functional teams to identify, define, and solve high-impact operational challenges.
  • Build and maintain end-to-end machine learning pipelines, from data collection and preprocessing to model deployment and monitoring.
  • Evaluate and compare models using statistical methods to ensure optimal performance and feasibility.
  • Ensure robust alerting and monitoring systems are in place for deployed models to address issues rapidly.
  • Work with diverse datasets, integrating multiple data types such as images, sensor data, voice, text, and tabular information.
  • Write clean, modular, and sustainable code to translate research ideas into production-ready solutions.

Minimum Requirements

  • In-depth knowledge of Python for high-performance, data-intensive applications.
  • Proficiency with at least one modern deep learning framework (e.g., PyTorch, Jax, TensorFlow).
  • Expertise in one or more of the following areas: computer vision, large language models, recommender systems, or operations research.
  • Foundational knowledge of statistics for model comparison and performance assessment.
  • 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 implementation.

Preferred Qualifications

  • CI/CD, Kubernetes, MLflow, TensorFlow, PyTorch, AWS.
  • Experience working in manufacturing, industrial automation, or warehouse environments.
  • Familiarity with multi-modal data integration and analysis.
  • Strong problem-solving skills and the ability to thrive in ambiguous, fast-paced settings.
  • Excellent communication skills for cross-functional teamwork.