Top 4819 Machine learning engineer Jobs in California

QA Engineer
Point Predictive, Inc. —San Diego, CA
- $100,000 - $125,000 a year
- Full-time
- Background check
- 11+ years
- Mid-level
- Health savings account
- Health insurance
Quick Apply
Lead AI Engineer
Tavant Technologies, Inc. —Santa Clara, CA
- $130,000 - $160,000 a year
- Full-time
- Computer Science
- Research
- Java
- Relocation assistance
- Health insurance
Quick Apply
Machine Learning Engineer
Pattern AI —San Mateo, CA
- Computer Science
- Mid-level
- 3 years
Quick Apply
Machine Learning Engineer
Happy Elements —San Francisco, CA
- Full-time
- Computer science
- Computer Science
- Mid-level
Quick Apply
Machine Learning Engineer
UnitX —Milpitas, CA
- $160,000 - $180,000 a year
- Full-time
- Computer Science
- Basic math
- Mid-level
- Health insurance
- Dental insurance
Machine Learning Engineer
Eragon —San Francisco, CA
- $180,000 - $230,000 a year
- Full-time
- Computer Science
- System design
- AWS
Quick Apply
Machine Learning Engineer
BigHat Biosciences —San Mateo, CA
- $150,000 - $200,000 a year
- Full-time
- Hybrid work
- Mid-level
- 3 years
- Master's degree
Quick Apply
18h
Machine Learning Engineer
NTENT —Carlsbad, CA
- Full-time
- Computer science
- Computer Science
- Mid-level
- Disability insurance
- Health insurance
Quick Apply
Machine Learning Engineer - Inference
ByteDance —San Jose, CA
- $162,000 - $387,600 a year
- System design
- Mid-level
- 3 years
- Paid parental leave
- Paid holidays
Machine Learning Engineer
Onyx —San Francisco, CA
- $150,000 - $250,000 a year
- Full-time
- Mid-level
- Office
- 3 years
Quick Apply
Machine Learning Engineer - College Graduate
Qualcomm —San Diego, CA
- $122,800 - $184,200 a year
- Computer Science
- Analysis skills
- Entry level
Machine Learning Engineer
Sajix Software Solution Private Limited —Pleasanton, CA
- Computer Science
- Master's degree
- Bachelor's degree
Quick Apply
Founding Machine Learning Engineer
Orbit Neuro Co. —San Francisco, CA
- $225,000 - $275,000 a year
- Full-time
- Computer Science
- Bachelor of Science
- 3 years
Machine Learning Engineer
Hive —San Francisco, CA
- $120,000 - $180,000 a year
- Full-time
- Computer Science
- Mid-level
- SQL
Machine Learning Engineer
Adidev Technologies Inc —Santa Monica, CA
- Azure
- Computer Science
- SQL
- Relocation assistance
Quick Apply
Machine Learning Engineer
Deft AI, Inc. —San Francisco, CA
- $150,000 - $200,000 a year
- Full-time
- Computer Science
- Doctor of Philosophy
- Senior level
- Health insurance
- Dental insurance
Quick Apply
Machine Learning Engineer
Aven —Campbell, CA
- Full-time
- System design
- Mid-level
- AWS
Quick Apply
Machine Learning Engineer
Goliath Partners —San Francisco, CA
- $250,000 a year
- Research
- Mid-level
- APIs
Machine Learning Engineer
Amiri Recruiting —Santa Clara, CA
- $140,000 - $220,000 a year
- Full-time
- Mid-level
- Office
- Software development
Quick Apply
Senior AI Engineer - Machine Learning (US)
Gauss Labs —Palo Alto, CA
- Full-time
- Hybrid work
- Azure
- Computer Science
- Bachelor of Science

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QA Engineer

Point Predictive, Inc.
San Diego, CA

Quick Apply

Job Details

Full-time
$100,000 - $125,000 a year

Benefits

Stock options
Health savings account
Health insurance
Dental insurance
401(k)
Flexible spending account
Paid time off
Employee assistance program
Vision insurance
Life insurance

Qualifications

Cloud infrastructure
AWS
Machine learning
Data science
Python

Full Job Description

About the job

Company:

Point Predictive leverages a patented combination of artificial and natural intelligence [Ai+Ni] to provide risk assessments in the auto lending, mortgage, and retail space. The platform has been proven to reduce lender loan losses by 40-60% with review rates of 5-10% of their applications, resulting in higher productivity of lender risk management departments, significantly lower losses to their bottom lines, and improved customer experience. The company was founded in 2013 by a seasoned team of technology entrepreneurs with over 20 years of experience in the startup space (including several acquisitions) and has financial backing from top tier investors.

To Be a Predictor you must:

Be the Expert

Understand our customers’ business and help them improve their results - find ways to interact with our customers frequently Know our data and solutions fully and the value they bring to our customers Understand our competition and how we complement and augment their value Be the master of your craft and keep striving for excellence by learning from best-in-class examples Be humble but confident. Reject mediocrity in yourself and others.

Pitch-In

Recognize and lead where you can add value. Learn new things to add more value. Teach others so they can add more value. Take action and contribute to deliver the best results. Be inclusive with others and receptive to new ideas Be able to cover for others when “life happens” Be an owner, do what it takes, and treat deliverables with urgency.

Get It Done

Customers come first - treat their needs with urgency and work tirelessly to exceed their expectations Consider a project done from their perspective, not your own Fast is better than slow - focus on getting to useful results & review your work. Hold yourself and others accountable to deadlines and quality. Ensure you and the company can be proud of your results Define desired outcomes and make sure nothing is in the way - overcome all obstacles including you.

Job Summary:

At Point Predictive, we build predictive artificial intelligence models built that power new levels of lending confidence and speed, while protecting against the full scope of fraud risk. Our solutions quickly and accurately identify who is reporting truthfully on loan applications and who is not. As a result, lenders can fund the majority of loans easily without asking applicants for onerous documentation.

We're a fast-paced team of engineers and data scientists looking for a hands-on Software QA and Test Automation Engineer who’s passionate about delivering top-notch software. If you’re excited about building and improving testing processes, we want to hear from you.

What You’ll Do
Perform manual, exploratory, and automated testing for new and existing product functionality.
Test REST APIs, request/response structures, UI behavior, business logic, data validation, and error handling.
Create, maintain, and expand automated regression tests using Python and pytest.
Investigate customer-reported issues, reproduce problems, analyze expected versus actual behavior, and document findings.
Work with databases and SQL queries to validate results and investigate issues.
Review logs and system behavior to help identify root causes of defects and unexpected behavior.
Collaborate closely with developers, data scientists, QA, and other team members.
Participate in requirements discussions to help clarify expected behavior before development is completed.
Ask questions, identify gaps in requirements, and help make sure new features meet business and customer expectations.
Support release validation, regression planning, and release sign-off activities.
Continuously improve QA processes, development workflows, test coverage, and automation reliability.

What We’re Looking For
Experience in software QA with both manual testing and test automation responsibilities.
Experience testing backend systems and REST APIs.
Experience with API testing tools such as Postman, including collections, environments, variables, and request scripts.
Experience writing automated tests in Python, preferably using pytest.
Understanding of JSON and XML response validation.
Ability to design test scenarios that cover happy paths, negative cases, edge cases, and regression risks.
Experience with SQL.
Familiarity with Git and working in a collaborative development workflow.
Ability to investigate existing functionality, understand how it works, and determine what behavior is expected.
Analytical and troubleshooting skills, especially when working with unclear requirements or complex backend behavior.
Good communication skills and a team player attitude.
Comfortable working in a small team where QA is expected to be proactive, take ownership, ask questions, and help improve both the product and the testing process.
Willingness to work on both manual and automated testing rather than focusing only on one area.

Nice to Have
Experience with CI/CD tools such as Jenkins.
Familiarity with AWS, CloudWatch, or similar cloud/logging platforms.
Experience with Selenium or other UI automation tools.
Experience testing scoring systems, data-heavy products, or other systems with complex business logic.
Familiarity with Agile development practices.
Basic familiarity with data science, machine learning concepts, or predictive models is a plus.

Job Type: Full-time

Pay: $100,000.00 - $125,000.00 per year

Benefits:

401(k)
Dental insurance
Employee assistance program
Flexible spending account
Health insurance
Health savings account
Life insurance
Paid time off
Vision insurance

Compensation Package:

Bonus opportunities
Stock options

Application Question(s):

Our Values are Be the Expert, Get it Done, and Pitch in. Describe in detail why you embody these values and provide a detailed explanation with specifics from your current or previous positions.
This is an in-office 5 days a week job - tell us why that will not be a problem for you.

Ability to Commute:

San Diego, CA 92101 (Required)

Work Location: In person

Quick Apply

Refine Your Search

machine learning engineer jobs in california

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