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Machine Learning Engineer New Grad Jobs in California

RAPID EAGLE INC

Machine Learning Engineer

Sunnyvale, CA · Remote

$70 - $80/hr

Health insurance Machine Learning Engineer 100% Remote We are seeking a highly skilled Machine Learning Engineer to design, develop, deploy, and maintain scalable machine learning solutions that ...

NTENT

Machine Learning Engineer

Carlsbad, CA · On-site

Machine Learning Engineer Position: Full time Location: Carlsbad office About Us: NTENT provides a Platform-as-a-Service (PaaS), allowing industry partners to customize, localize and integrate search ...

Skild AI

Machine Learning Engineer

San Mateo, CA

$100K - $300K/yr

Machine Learning Engineer San Mateo, Pittsburgh Company Overview At Skild AI, we are building the ... Our team consists of individuals with varying levels of experience and backgrounds, from new ...

NTENT

Machine Learning Engineer

Carlsbad, CA

Machine Learning Engineer Position: Full time Location: Carlsbad office About Us: NTENT provides a Platform-as-a-Service (PaaS), allowing industry partners to customize, localize and integrate search ...

RIT Solutions

Machine Learning Engineer

Fremont, CA

Machine Learning Engineer Location: Fremont, CA Duration: 12+ Months Tesla/ $65 About the Role Our direct client is seeking a highly skilled Machine Learning Engineer to join their Software Machine ...

Apple

Machine Learning Engineer

Sunnyvale, CA · On-site

... 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 ...

Apple

Machine Learning Engineer

Sunnyvale, CA · On-site

... 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 ...

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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 Jun 21, 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 June 2026, with employment types broken down into 92% Full Time, and 8% Contract. Highlights an 63% In-person, 6% Hybrid, and 31% Remote job distribution, with an average salary of $127,083 per year, or $61.1 per hour.
Machine Learning Engineer

Machine Learning Engineer

Tranzeal

South San Francisco, CA

Other

Posted 13 days ago

Job description

Machine Learning Engineer

We are looking for talented Machine Learning Engineers to join Prescient Design, a division devoted to developing structural and machine learning based methods for molecular design within Genentech's Research and Early Development (gRED) organization.

The successful candidate will manage projects deploying new techniques for machine learning based molecular optimization for the analysis and design of small and large molecule drugs within target-driven design campaigns.

Special focus will be given to engineering pipelines for probabilistic molecular property prediction and Bayesian acquisition for active learning based drug discovery.

Additional activities may extend to include engineering pipelines for molecular generative modeling.

The Role:

  • You will join Prescient Design within the Computational Sciences organization in gRED.
  • Your peers will be machine learning scientists, engineers, computational chemists, and computational biologists.
  • You will closely collaborate with scientists within Prescient and across gRED.
  • You will develop machine learning and Bayesian optimization workflows to analyze existing, and design new, small and large molecules.
  • You will be expected to form close working relationships with small molecule and protein therapeutic development efforts across the gRED organization.
  • You will be expected to work on existing projects and generate new project ideas.

Qualifications:

  • PhD degree in a quantitative field (e.g., Computer Science, Chemistry, Chemical Engineering, Computational Biology, Physics), or MS degree and 3+ years of industry experience.
  • Demonstrated experience with machine learning libraries in production-ready workflows (e.g., PyTorch + Lightning + Weights and Biases)
  • Record of achievement, including at least one high-impact first author publication or equivalent.
  • Excellent written, visual, and oral communication and collaboration skills.

Additional desired qualifications:

  • Experience with physical modeling methods (e.g., molecular dynamics) and cheminformatics toolkits (e.g., rdkit)
  • Previous focus on one or more of these areas: molecular property prediction, computational chemistry, de novo drug design, medicinal chemistry, small molecule design, self-supervised learning, geometric deep learning, Bayesian optimization, probabilistic modeling, statistical methods.
  • Public portfolio of computational projects (available on e.g. GitHub).
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About Tranzeal

Sourced by ZipRecruiter

Tranzeal is an industry leading global Business Transformation Service Provider. We offer specific consulting services as well as pre-packaged, industry specific solutions and services to companies around the world. Since our foundation, Tranzeal has evolved from a small start up company to a mid market player dedicated to providing solutions and services to SMB and large enterprise customers. Our Consulting Services are dedicated to helping our Clients maximize their investments in IT and the overall effectiveness and efficiency of the business. Tranzeal has built its center of competency in Enterprise Resource Planning, Business Intelligence, Supply Chain Management, Customer Resource Management and Information Integration solutions, as well as specific Service orientated offerings such as Test, Quality Assurance and Data Management.

Industry

Business management consulting

Company size

51 - 200 Employees

Headquarters location

San Jose, CA, US

Social media

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