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Machine Learning Engineer Software Engineer Jobs in San Diego, CA

AbbVie

Machine Learning Engineer

San Diego, CA · On-site +1

$109K/yr

Collaborate with Data Engineers, Software Engineers, Data Scientists, Product partners, andbusiness ... Experience with machine learning libraries such as scikit-learn, HuggingFace,TensorFlow/Keras ...

AbbVie

Machine Learning Engineer

San Diego, CA · On-site +1

Collaborate with Data Engineers, Software Engineers, Data Scientists, Product partners, andbusiness ... Experience with machine learning libraries such as scikit-learn, HuggingFace,TensorFlow/Keras ...

General Atomics

Machine Learning Engineer II

Poway, CA · On-site

The Autonomy and Artificial Intelligence Solutions Software group is charted to develop and deploy ... May substitute equivalent machine learning engineer experience in lieu of education. * Must have an ...

General Atomics

Machine Learning Engineer II

Poway, CA · On-site

$98K - $171K/yr

The Autonomy and Artificial Intelligence Solutions Software group is charted to develop and deploy ... May substitute equivalent machine learning engineer experience in lieu of education. * Must have an ...

General Atomics

Machine Learning Engineer III

San Diego, CA · On-site

$116K - $208K/yr

... integrated software algorithms to structure, analyze and leverage data in product and systems ... May substitute equivalent machine learning engineer experience in lieu of education. * Must have a ...

Apple Inc.

Video Machine Learning Engineer

San Diego, CA · On-site

$139.50 - $258.10/hr

San Diego, California, United States - Software and Services Imagine what you could do here! At ... Description As a Video Machine Learning Algorithm Engineer on our team, you will be at the ...

Qualcomm

Senior Engineer - Machine Learning

San Diego, CA · On-site

$110K - $152K/yr

The ideal candidate combines strong software engineering fundamentals with deep ML expertise, and ... Design and implement machine learning models and pipelines for production use * Build scalable ...

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Showing results 21-40

All JobsMachine Learning Engineer Software Engineer JobsMachine Learning Engineer Software Engineer Jobs in San Diego, CA

Machine Learning Engineer Software Engineer information

See San Diego, CA salary details

$67.4K

$156.6K

$218.2K

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

As of Aug 18, 2026, the average yearly pay for machine learning engineer software engineer in San Diego, CA is $156,628.00, according to ZipRecruiter salary data. Most workers in this role earn between $127,400.00 and $183,700.00 per year, depending on experience, location, and employer.

How do machine learning engineer software engineers typically collaborate with data scientists and software development teams?

Machine Learning Engineer Software Engineers often serve as a bridge between data scientists and software development teams. They work closely with data scientists to understand and implement machine learning models, ensuring that the models are production-ready and scalable. Additionally, they collaborate with software engineers to integrate these models into existing applications, monitor their performance, and address any engineering challenges. This cross-functional collaboration is essential for delivering robust, end-to-end AI solutions that add real value to the business.

What is the difference between Machine Learning Engineer Software Engineer vs Data Scientist?

AspectMachine Learning EngineerSoftware Engineer
Required CredentialsBachelor's/Master's in CS, specialized ML coursesBachelor's in CS or related field
Work EnvironmentDevelops ML models, algorithms, data pipelinesBuilds software applications, systems, APIs
Industry UsageAI/ML projects, data-driven solutionsWeb, mobile, enterprise software

Machine Learning Engineers focus on designing and deploying ML models, requiring expertise in algorithms and data handling. Software Engineers develop broader software applications, emphasizing coding and system architecture. While both roles require programming skills, ML Engineers specialize in AI/ML tasks, whereas Software Engineers work across various software domains.

What are popular job titles related to Machine Learning Engineer Software Engineer jobs in San Diego, CA?

For Machine Learning Engineer Software Engineer jobs in San Diego, CA, the most frequently searched job titles are:

What job categories do people searching Machine Learning Engineer Software Engineer jobs in San Diego, CA look for?

The top searched job categories for Machine Learning Engineer Software Engineer jobs in San Diego, CA are:

What cities near San Diego, CA are hiring for Machine Learning Engineer Software Engineer jobs?

Cities near San Diego, CA with the most Machine Learning Engineer Software Engineer job openings:

Machine Learning Engineer Software Engineer jobs near you

Machine Learning Engineer

AbbVie

San Diego, CA • On-site, Remote

$109K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 26 days ago

AbbVie rating

8.6

Company rating: 8.6 out of 10

Based on 101 frontline employees who took The Breakroom Quiz

16th of 86 rated pharmaceutical

Job description

Company Description
About AbbVie
At Allergan Aesthetics, an AbbVie company, we develop, manufacture, and market a portfolio of leading aesthetics brands and products. Our aesthetics portfolio includes facial injectables, body contouring, plastics, skin care, and more. Our goal is to consistently provide our customers with innovation, education, exceptional service, and a commitment to excellence, all with a personal touch. For more information, visit https://global.allerganaesthetics.com/. Follow Allergan Aesthetics on LinkedIn.
Job Description
Responsibilities
  • Own small to medium components of machine learning systems from technical designthrough implementation and delivery
  • Translate technical requirements into high-quality, maintainable code and deliver workstreamsaccording to plan
  • Build and maintain data pipelines and feature engineering workflows to support machinelearning and AI solutions
  • Design, train, evaluate, and refine machine learning models with minimal supervision, applyingsound statistical and engineering practices
  • Implement ML solutions that can be deployed into production environments as microservices,APIs, batch jobs, or streaming components
  • Support production monitoring efforts by helping define and implement metrics for modelperformance, data drift, anomalies, and retraining triggers
  • Collaborate with Data Engineers, Software Engineers, Data Scientists, Product partners, andbusiness stakeholders to deliver project objectives
  • Understand system design, data models, and technical artifacts well enough to contribute toimplementation decisions and tradeoffs
  • Follow governance, documentation, coding, and source control standards consistently
  • Demonstrate flexibility and proactively support teammates with day-to-day responsibilities asneeded
  • Clearly document and communicate work progress, technical decisions, and outcomes totechnical and non-technical audiences

Qualifications
Required Experience & Skills
  • Completed BS, MS, or PhD in Computer Science, Mathematics, Statistics, Data Science,Engineering, Operations Research, or other quantitative field
  • 3+ years of practical experience building, evaluating, scaling, and deploying machine learning pipelines with Python
  • Strong programming skills in Python and solid understanding of core computer scienceprinciples
  • Experience with data manipulation frameworks such as Pandas and PySpark
  • Experience with machine learning libraries such as scikit-learn, HuggingFace,TensorFlow/Keras, PyTorch, or MLlib
  • Experience with MLOps practices such as automated model deployment, model performancemonitoring, data drift detection
  • Working knowledge of SQL and relational data structures
  • Ability to design, train, and evaluate machine learning models using standard best practicessuch as model selection, validation, bias/variance tradeoffs, and performance assessment
  • Familiarity with batch and streaming data pipeline concepts such as ETL, ELT, and stream processing
  • Experience working with cloud environments, preferably AWS
  • Familiarity with technologies such as APIs, microservices, Docker, and Kubernetes
  • Strong interpersonal, verbal, and written communication skills
  • Ability to work effectively in a remote environment using collaboration tools

Preferred Experience & Skills
  • Knowledge in domains such as recommender systems, fraud detection, personalization, and marketing science
  • Experience with managing and architecting solutions on AWS
  • Familiarity with Large Language Models (LLMs), other generative AI modalities, and how they are applied in production
  • Familiarity with Snowflake, RDS, DynamoDB, Kafka, Fivetran, dbt, Airflow, Docker, Kubernetes,
  • EMR, Sagemaker, DataDog, PagerDuty, Data Cataloging tools, Data Observability tools and Data Governance tools

Additional Information
Applicable only to applicants applying to a position in any location with pay disclosure requirements under state or local law:
  • The compensation range described below is the range of possible base pay compensation that the Company believes in good faith it will pay for this role at the time of this posting based on the job grade for this position. Individual compensation paid within this range will depend on many factors including geographic location, and we may ultimately pay more or less than the posted range. This range may be modified in the future.
  • We offer a comprehensive package of benefits including paid time off (vacation, holidays, sick), medical/dental/vision insurance and 401(k) to eligible employees.
  • This job is eligible to participate in our long-term incentive programs.

Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, incentive, benefits, or any other form of compensation and benefits that are allocable to a particular employee remains in the Company's sole and absolute discretion unless and until paid and may be modified at the Company's sole and absolute discretion, consistent with applicable law.
AbbVie is an equal opportunity employer and is committed to operating with integrity, driving innovation, transforming lives and serving our community. Equal Opportunity Employer/Veterans/Disabled.
US & Puerto Rico only - to learn more, visit https://www.abbvie.com/join-us/equal-employment-opportunity-employer.html
US & Puerto Rico applicants seeking a reasonable accommodation, click here to learn more:
https://www.abbvie.com/join-us/reasonable-accommodations.html

What AbbVie employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

AbbVie logo

About AbbVie

Sourced by ZipRecruiter

AbbVie's mission is to discover and deliver innovative medicines that solve serious health issues today and address the medical challenges of tomorrow. We strive to have a remarkable impact on people's lives across several key therapeutic areas: immunology, oncology, neuroscience, eye care, virology, women's health, and gastroenterology, in addition to products and services across its Allergan Aesthetics portfolio. For more information about AbbVie, please visit us at www.abbvie.com. Follow @abbvie on Twitter, Facebook, Instagram, YouTube, and LinkedIn.

Industry

Scientific research and development services

Company size

10,000+ Employees

Headquarters location

North Chicago, IL, US

Year founded

2013

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