1

Machine Learning Product Engineer Jobs (NOW HIRING)

Qualifications Experience: * 3+ years of professional experience as a Machine Learning Engineer or production-focused Data Scientist. * Proficiency across topics in machine learning and statistics.

Qualifications Experience: * 3+ years of professional experience as a Machine Learning Engineer or production-focused Data Scientist. * Proficiency across topics in machine learning and statistics.

Machine Learning Engineer

Seattle, WA · On-site

$120K - $140K/yr

You'll work closely with product, engineering and business leaders to make a difference with data ... As an Machine Learning Engineer, you'll have an opportunity not only to identify key leverage ...

New

You'll work closely with product, engineering and business leaders to make a difference with data ... As an Machine Learning Engineer, you'll have an opportunity not only to identify key leverage ...

Machine Learning Engineer

Seattle, WA · On-site

$120K - $140K/yr

You'll work closely with product, engineering and business leaders to make a difference with data ... As an Machine Learning Engineer, you'll have an opportunity not only to identify key leverage ...

You'll work across product, engineering, and data to transform creator, campaign, audience, and attribution data into scalable machine learning systems used by brands running influencer programs at ...

We are looking for a Machine Learning Engineer to design, build, and deploy machine learning ... Collaborate cross-functionally with product, R&D, and hardware teams, contributing to internal ...

Rather than working on a single product, you'll contribute to projects throughout the company, collaborating with machine learning, software, hardware, product, and data annotation teams to bring ...

next page

Showing results 1-20

Machine Learning Product Engineer information

See salary details

$53K

$144.1K

$205K

How much do machine learning product engineer jobs pay per year?

As of Sep 10, 2026, the average yearly pay for machine learning product engineer in the United States is $144,072.00, according to ZipRecruiter salary data. Most workers in this role earn between $88,000.00 and $205,000.00 per year, depending on experience, location, and employer.

What cities are hiring for Machine Learning Product Engineer jobs?

Cities with the most Machine Learning Product Engineer job openings:

What states have the most Machine Learning Product Engineer jobs?

States with the most job openings for Machine Learning Product Engineer jobs include:

What are popular job titles related to Machine Learning Product Engineer jobs?

For Machine Learning Product Engineer jobs, the most frequently searched job titles are:

Infographic showing various Machine Learning Product Engineer job openings in the United States as of June 2026, with employment types broken down into 95% Full Time, 3% Part Time, 1% Temporary, and 1% Contract. Highlights an 90% Physical, 1% Hybrid, and 9% Remote job distribution, with an average salary of $144,072 per year, or $69.3 per hour.

Machine Learning Engineer

San Mateo, CA • On-site, Remote

Full-time

Re-posted 8 days ago


Job description

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 to join our data team and help build out best-in-class machine learning solutions on our platform, powering innovative solutions in marketing & sales and commercial analytics.
Responsibilities:
  • Build and deploy the ML pipelines that power PatternAI's machine learning platform.
  • Manage MLOps infrastructure to monitor and optimize models.

Qualifications
Experience:
  • 3+ years of professional experience as a Machine Learning Engineer or production-focused Data Scientist.
  • Proficiency across topics in machine learning and statistics.
  • Fluency in Python coding as well as data manipulation (SQL, Spark, Pandas)
  • Broad familiarity with the Python ecosystem and common libraries including Scikit-Learn, XGBoost, PyTorch, Keras, Tensorflow, Pandas, and common ML cloud services.
  • Familiarity with CNNs, RNN, LSTMs, and the latest research trends.
  • Experience implementing, deploying, and maintaining production machine learning systems.
  • Experience monitoring and optimizing model performance.
  • Experience with Linux, Docker and AWS, and basic development operations.
  • Advanced degree in computer science, mathematics, statistics or related area of study strongly preferred.

Additional Information
About PatternAI
PatternAI is an early stage startup that is growing rapidly and recently closed a successful round of venture funding. We are emerging from stealth and with an exciting series of machine learning products and a rapidly growing number of enterprise customers.
All your information will be kept confidential according to EEO guidelines.