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Machine Learning Engineer New Grad Jobs in San Francisco, CA

Capital One

Lead Machine Learning Engineer

San Francisco, CA · On-site +1

$120K - $159K/yr

Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale.

Advatix Inc.

Machine Learning Engineer

San Mateo, CA · On-site

$110 - $165/hr

Department : Information Technology, Type: Full Time Job Title: Machine Learning Engineer / Research Engineer Pay: $$110,000 - $165,000 Base Salary + Equity Shift: N/A Location: San Mateo, CA

IXL

Software Engineer, New Grad

San Mateo, CA · On-site

$110 - $135/hr

## Software Engineer, New Grad### San Mateo, CAIXL Learning, developer of personalized learning products used by millions of people globally, is seeking New Grad Software Engineers who have a passion

Winaxis

Machine Learning Engineer

Fremont, CA · On-site

Title: Machine Learning Engineer Location: Fremont, CA (Local) Onsite interview Duration: 12+ Mos H1B Only h1 candidate About the Role: Our direct client is hiring a Machine Learning Engineer for

Pattern AI

Machine Learning Engineer

San Mateo, CA

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

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All JobsMachine Learning Engineer New Grad JobsMachine Learning Engineer New Grad Jobs in San Francisco, CA

Machine Learning Engineer New Grad information

See San Francisco, CA salary details

$37.1K

$151.7K

$228K

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

As of Sep 2, 2026, the average yearly pay for machine learning engineer new grad in San Francisco, CA is $151,712.00, according to ZipRecruiter salary data. Most workers in this role earn between $119,600.00 and $182,600.00 per year, depending on experience, location, and employer.

What is a machine learning engineer new grad?

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 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 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 most commonly searched types of Machine Learning Engineer New Grad jobs in San Francisco, CA?

The most popular types of Machine Learning Engineer New Grad jobs in San Francisco, CA are:

What are popular job titles related to Machine Learning Engineer New Grad jobs in San Francisco, CA?

For Machine Learning Engineer New Grad jobs in San Francisco, CA, the most frequently searched job titles are:

What job categories do people searching Machine Learning Engineer New Grad jobs in San Francisco, CA look for?

The top searched job categories for Machine Learning Engineer New Grad jobs in San Francisco, CA are:

What cities near San Francisco, CA are hiring for Machine Learning Engineer New Grad jobs?

Cities near San Francisco, CA 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 San Francisco, CA as of August 2026, with employment types broken down into 1% As Needed, 76% Full Time, 21% Part Time, and 2% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $151,712 per year, or $72.9 per hour.

Staff Machine Learning Engineer (San Francisco)

Metric Bio

San Francisco, CA • On-site

$400K/yr

Full-time

Re-posted 6 days ago

Job description

This range is provided by Metric Bio. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

$100,000.00/yr - $400,000.00/yr

Direct message the job poster from Metric Bio

Metric Bio is partnering with an elite neurotechnology company to recruit a Staff Machine Learning Engineer for their groundbreaking brain-computer interface (BCI) platform. This is an opportunity to join a team of world-renowned experts at the forefront of neurotechnology and AI.

About the Team:

You'll be working alongside:

  • Leading neuroscientists and neurosurgeons from top institutions
  • Machine learning pioneers with publications in NeurIPS, ICML, and Nature journals
  • Seasoned engineers from premier tech and medical device companies
  • Together, this multidisciplinary team is translating cutting-edge research into clinical reality, with backing from top-tier investors ($155M+ funding) and partnerships with renowned medical centers.

The Opportunity:

As a Staff ML Engineer, you will:

  • Develop novel algorithms for real-time neural signal decoding that will define industry standards
  • Architect robust ML systems processing high-dimensional neural data at the edge
  • Collaborate directly with clinical teams to validate models in real-world settings
  • Contribute to an FDA-regulated medical device with immediate patient impact

What You will Bring:

  • Advanced expertise in machine learning (RNNs, LSTMs, CNNs) and signal processing (spike sorting, LFP/ECoG analysis)
  • Experience deploying production ML systems with strict latency requirements
  • Strong Python skills (PyTorch/TensorFlow) and cloud infrastructure knowledge
  • A track record of technical excellence through publications, patents, or shipped products
  • Passion for bridging AI research with clinical applications

For senior ML engineers seeking to apply their skills to one of the most meaningful challenges in technology today, this represents a career-defining opportunity.

Seniority level
  • Seniority levelMid-Senior level
Employment type
  • Employment typeFull-time
Job function
  • IndustriesMedical Equipment Manufacturing

Referrals increase your chances of interviewing at Metric Bio by 2x

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