Top 329 Machine learning engineer Jobs in San Diego Ca

Senior Data Engineer
Point Predictive —San Diego, CA
- $140,000 - $160,000 a year
- Full-time
- Office
- Master's degree
- SQL
- Health savings account
- Health insurance
Quick Apply
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
Machine Learning Engineer - AI Trainer
DataAnnotation —California
- $50 - $100 an hour
- Part-time
- Remote
- Computer Science
- Writing skills
- English
- Flexible schedule
Quick Apply
Application Test Engineer - AI Trainer
DataAnnotation —San Diego, CA
- $50 - $100 an hour
- Part-time
- Remote
- Writing skills
- English
- Mid-level
- Flexible schedule
Quick Apply
Machine Learning Engineer
General Atomics —Poway, CA
- $98,100 - $171,398 a year
- Extended hours
- Computer Science
- System design
- Mid-level
- Relocation assistance
Machine Learning Engineer - College Graduate
Qualcomm —San Diego, CA
- $122,800 - $184,200 a year
- Computer Science
- Analysis skills
- Entry level
Process Development Engineer 2
Dexcom —San Diego, CA
- $75,200 - $125,300 a year
- Full-time
- Mid-level
- Master's degree
- Bachelor's degree
- Tuition reimbursement
2027 TMP Tech & NPI Entry Level Engineering Rotation - MS/PHD
Solar Turbines —San Diego, CA
- $92,500 - $118,000 a year
- Full-time
- Engineering
- Pass drug screening
- Office
- Health savings account
- Paid holidays
Machine Learning Researcher
Qualcomm —San Diego, CA
- $159,100 - $238,700 a year
- Computer Science
- Mid-level
- Master's degree
Contract Student Worker: Analyst (Full-time)
Zoox —San Diego, CA
- $30 an hour
- Email
- Bachelor of Science
- Office
- Math
Quick Apply
Mechanical Engineer 2
Dexcom —San Diego, CA
- $78,900 - $131,500 a year
- Full-time
- Mid-level
- Master's degree
- Bachelor's degree
- Tuition reimbursement
1d
Release Engineer
Zoox —San Diego, CA
- $144,000 - $193,000 a year
- Email
- Hybrid work
- Computer science
- Azure
- Computer Science
- Disability insurance
- Health insurance
Quick Apply
AI Engineer
Ignite Digital —San Diego, CA
- From $80,000 a year
- Azure
- Computer Science
- Customer service
- Paid time off
- Referral program
Quick Apply
Sr Staff Endpoint Systems Engineer
Dexcom —San Diego, CA
- $141,800 - $236,400 a year
- Full-time
- Remote
- 5 years
- Windows
- Master's degree
- Tuition reimbursement
Sustainment Data Science & Analysis Support
JSL Technologies Incorporated —San Diego, CA
- $65,000 - $75,000 a year
- Computer Science
- No experience needed
- SQL
- On-the-job training
AI/ML Integration Specialist
The Marlin Alliance —San Diego, CA
- $140,000 - $180,000 a year
- Full-time
- Hybrid work
- 7 years
- Mid-level
- Travel
Senior Machine Learning Engineer
Murata America —San Diego, CA
- $140,000 - $178,000 a year
- Monday to Friday
- Computer Science
- Office
- 3 years
- Paid holidays
- Health insurance
7d
Staff Engineer – Product Development Systems
Dexcom —San Diego, CA
- $111,100 - $185,100 a year
- Full-time
- System design
- Master's degree
- Bachelor's degree
- Tuition reimbursement
Staff Process Engineer
Dexcom —San Diego, CA
- $111,100 - $185,100 a year
- Full-time
- Master's degree
- Bachelor's degree
- Doctor of Philosophy
- Tuition reimbursement
1d
Data Scientist 2 (Product Intelligence)
Dexcom —San Diego, CA
- $91,400 - $152,300 a year
- Full-time
- Computer Science
- Mid-level
- Master's degree
- Tuition reimbursement
7d

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machine learning engineer jobs near san diego ca

Senior Data Engineer

Point Predictive
San Diego, CA

Quick Apply

Job Details

Full-time
$140,000 - $160,000 a year

Benefits

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

Qualifications

Data model design
Software engineering
Data Integration (Data management)
Cloud data warehouses
Data modeling projects
Spark
Scalable systems
Snowflake
Master's degree
SQL
ETL process automation
Bachelor's degree
Systems engineering
Scalability
Python

Full Job Description

Overview

Point Predictive is redefining fraud detection and risk decisioning for lenders through large-scale consortium data, machine learning, and real-time systems. We are seeking a Senior Data Engineer to help design, build, and maintain the data platforms behind our core products, including high-volume data ingestion, batch and streaming pipelines, real-time decisioning systems, and the data infrastructure that supports models and customer-facing applications across financial institutions.

In this role, you will work closely with engineering peers, Data Science, and Product to ensure that data, models, and production systems are seamlessly integrated, reliable, and ready to operate at scale. The ideal candidate brings strong technical depth and execution rigor—a hands-on engineer who takes ownership of the systems they build, raises the bar on quality, and uses modern AI-assisted development tools to improve engineering velocity, testing, and reliability.

Responsibilities

Design, build, and operate scalable pipelines that ingest and process large volumes of lender, application, and transaction data across a variety of formats and delivery methods
Develop batch and real-time data processes that support fraud detection, risk decisioning, model features, customer integrations, and production outputs
Build and maintain data transformation workflows using dbt, SQL, Python, Snowflake, PostgreSQL, and AWS
Improve the scalability, reliability, and performance of the data platform through architectural improvements, query optimization, and automation
Build streaming and event-driven pipelines using technologies such as Kafka, Kinesis, Spark Streaming, or similar platforms
Translate complex data-processing, fraud, and business logic into reliable, maintainable production software
Implement automated testing, monitoring, alerting, reconciliation, and data-quality controls across critical workflows
Maintain clean, well-governed, and well-documented data models for downstream products, analytics, and machine-learning systems
Investigate production issues and customer-reported data problems, determine root causes, and implement durable fixes
Partner with Software Engineering, Data Science, Product, and customer-facing teams to deliver large-scope technical projects
Contribute to data architecture decisions and engineering standards
Use AI-assisted development tools, such as Claude Code, to improve productivity, testing rigor, and engineering quality

Qualifications

5+ years of data engineering or software engineering experience building and operating scalable production systems
Strong hands-on experience with Python, SQL, dbt, PostgreSQL, Snowflake, and AWS
Experience designing and supporting production ETL, ELT, batch, and streaming pipelines
Experience with event-driven technologies such as Kafka, Kinesis, Spark Streaming, or similar tools
Strong understanding of data modeling, distributed systems, testing, observability, and production debugging
Demonstrated ability to lead large technical projects and work effectively across Engineering, Data Science, Product, and business teams
High level of ownership, accountability, communication, and attention to quality
Comfort using AI-assisted and agentic development tools while maintaining strong engineering judgment and review standards
Experience in financial services, lending, fraud detection, or risk decisioning is a plus

What Success Looks Like

Reliable, well-tested batch and real-time pipelines move large volumes of data with minimal production issues
Data models are clean, documented, governed, and dependable for downstream systems
Monitoring and automated controls identify pipeline and data-quality issues before they affect customers
Infrastructure scales efficiently as data volumes, customers, and product use cases grow
Manual processes are replaced with durable, automated solutions
Production issues and customer requests are resolved quickly and result in lasting improvements
Technical projects are delivered with clear ownership and strong cross-functional partnership
AI-assisted development tools are used thoughtfully to increase speed, strengthen testing, and reduce errors

Why This Role

Build and own the data backbone of a company delivering real-time fraud and risk decisions to lenders.

This is a high-impact, hands-on role with direct influence on the data that powers Point Predictive’s models, products, and customer decisions. You will work on large-scale ingestion, transformation, streaming, and ETL systems while helping shape the architecture and engineering standards of a growing data platform.

You will solve meaningful production challenges, modernize critical systems, and work closely with Engineering and Data Science leaders during a key phase of the company’s growth.

Education

Bachelor's or Master's

Pay: $140,000.00 - $160,000.00 per year

Benefits:

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

Application Question(s):

This is an In Office Job - Can you confirm that you will be available to work in office 5 days a week
Our Core Values are: Get it Done, Pitch In, and Be the Expert. Describe in detail how you have embodied those Values in the past and how you will continue to work by them at Point Predictive

Ability to Commute:

San Diego, CA 92101 (Required)

Work Location: In person

Quick Apply

Refine Your Search

machine learning engineer jobs in san diego ca

Senior Data Engineer

QA Engineer

Machine Learning Engineer - AI Trainer

Application Test Engineer - AI Trainer

Machine Learning Engineer

Machine Learning Engineer - College Graduate

Process Development Engineer 2

2027 TMP Tech & NPI Entry Level Engineering Rotation - MS/PHD

Machine Learning Researcher

Contract Student Worker: Analyst (Full-time)

Mechanical Engineer 2

Release Engineer

AI Engineer

Sr Staff Endpoint Systems Engineer

Sustainment Data Science & Analysis Support

AI/ML Integration Specialist

Senior Machine Learning Engineer

Staff Engineer – Product Development Systems

Staff Process Engineer

Data Scientist 2 (Product Intelligence)

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