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Remote Machine Learning Engineer Jobs in Chula Vista, CA

AbbVie

Machine Learning Engineer

San Diego, CA · On-site +1

$109K/yr

... machine learning models with minimal supervision, applyingsound statistical and engineering ... Ability to work effectively in a remote environment using collaboration tools Preferred Experience ...

AbbVie

Machine Learning Engineer

San Diego, CA · On-site +1

... machine learning models with minimal supervision, applyingsound statistical and engineering ... Ability to work effectively in a remote environment using collaboration tools Preferred Experience ...

MoneyThumb

Java Engineer I, 100% Remote

San Diego, CA · On-site +1

$90K - $120K/yr

We're looking for an awesome back-end Java engineer with Machine Learning or AI experience to help us take it to the next level. What you'll do: You'll work in a small, collaborative team on our core ...

New

MoneyThumb

Java Engineer I, 100% Remote

San Diego, CA · On-site +1

$55 - $75.50/hr

We're looking for an awesome back-end Java engineer with Machine Learning or AI experience to help us take it to the next level. What you'll do: You'll work in a small, collaborative team on our core ...

New

Wsgr

Innovations and AI Solutions Engineer

San Diego, CA · On-site +1

This position is available as a hybrid or remote work schedule. Essential Duties, Responsibilities ... Design, build and implement machine learning models, including the development of AI Models and ...

Waymo

Senior System Test Engineer, Perception

San Diego, CA · On-site +1

$110K - $151K/yr

... when remote assistance is needed, across multiple platforms and in support of rapid ... Strong grasp of Machine Learning fundamentals and applied statistical concepts * Experience in data ...

TEKsystems

AI Engineer

San Diego, CA · Remote

$50 - $58/hr

Remote AI/ML Software Engineer, Generative AI Are you passionate about building Generative AI ... What We're Looking For * 4+ years of software engineering and/or machine learning experience. * 1 ...

New

Dlapiper

Data Scientist

San Diego, CA · On-site +1

... and software engineering. Identifies patterns and looks for opportunities for optimization ... A specialization in machine-learning, artificial intelligence, cognitive science or data science is ...

New

Axos Bank

Lead Enterprise Architect

San Diego, CA · On-site +1

$185K - $225K/yr

Remote or Hybrid in not available. Axos Bank is seeking an experienced Lead Enterprise Architect to ... DevOps. * Leverage the latest technologies and tools, such as AI, machine learning, big data ...

Law Firm

Patent Agent

San Diego, CA · Remote

$180K - $225K/yr

... and machine learning/artificial intelligence technologies. Experience with medical device ... engineering, computer engineering, computer science, or a related physical science or engineering ...

Tealium

Sr. Engineer, AI Developer Tools (Remote)

San Diego, CA · On-site +1

$137K - $171K/yr

... AI and machine learning, fueling smarter personalization, predictive insights, and business ... BuiltIn's 2024 Best Place to Work WHAT WE ARE LOOKING FOR Tealium is seeking a Senior Engineer, AI ...

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All JobsMachine Learning Engineer JobsRemote Machine Learning Engineer JobsRemote Machine Learning Engineer Jobs in Chula Vista, CA

Remote Machine Learning Engineer information

See Chula Vista, CA salary details

$32.7K

$133.5K

$200.6K

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

As of Aug 22, 2026, the average yearly pay for remote machine learning engineer in Chula Vista, CA is $133,482.00, according to ZipRecruiter salary data. Most workers in this role earn between $105,200.00 and $160,700.00 per year, depending on experience, location, and employer.

What is a remote machine learning engineer?

A Remote Machine Learning Engineer designs, develops, and deploys machine learning models while working from a remote location. They preprocess data, train and optimize models, and integrate them into production systems. Their role often involves collaborating with data scientists, software engineers, and stakeholders to solve complex problems using AI. Strong programming skills in Python, experience with ML frameworks like TensorFlow or PyTorch, and cloud computing knowledge are essential. Remote ML engineers must also communicate effectively and manage their time efficiently to work asynchronously with teams.

What are the key skills and qualifications needed to thrive as a remote machine learning engineer?

To thrive as a Remote Machine Learning Engineer, you need a strong background in computer science, mathematics, and experience with machine learning algorithms, typically supported by a relevant degree and prior project work. Proficiency with programming languages like Python, machine learning frameworks such as TensorFlow or PyTorch, and familiarity with cloud computing platforms is crucial, and certifications like AWS Certified Machine Learning can enhance your profile. Excellent communication, self-motivation, and time-management skills are also essential for collaborating across remote teams and meeting project goals. These combined technical and soft skills are vital for developing effective machine learning solutions while ensuring productivity and collaboration in a virtual work environment.

What are some typical challenges faced by remote machine learning engineers, and how are they addressed?

Remote Machine Learning Engineers often face challenges such as coordinating across different time zones, ensuring smooth communication with team members, and accessing large datasets or secure environments remotely. Organizations commonly address these by using robust collaboration tools (like Slack, GitHub, and Jira), establishing clear documentation, and setting regular virtual meetings to maintain alignment. Many companies also provide secure remote environments or VPN access for handling sensitive data and code. Proactive communication and organized workflows help mitigate these challenges, enabling engineers to remain productive and connected to their teams.

Are remote machine learning engineers still in demand?

Remote machine learning engineers are currently in high demand due to the growth of AI and data-driven technologies across industries. Skills in programming, data analysis, and familiarity with tools like Python, TensorFlow, or PyTorch are highly sought after, and many companies continue to hire for remote roles in this field.

Can remote machine learning engineers work remotely?

Yes, remote machine learning engineers can work remotely, as many companies offer flexible work arrangements for this role. The position typically involves tasks such as data analysis, model development, and collaboration through online tools, making remote work feasible with strong communication skills and proficiency in programming languages like Python or frameworks like TensorFlow. However, some roles may require occasional on-site meetings or access to specialized hardware.

What are the most commonly searched types of Machine Learning Engineer jobs in Chula Vista, CA?

The most popular types of Machine Learning Engineer jobs in Chula Vista, CA are:

What job categories do people searching Remote Machine Learning Engineer jobs in Chula Vista, CA look for?

The top searched job categories for Remote Machine Learning Engineer jobs in Chula Vista, CA are:

What cities near Chula Vista, CA are hiring for Remote Machine Learning Engineer jobs?

Cities near Chula Vista, CA with the most Remote Machine Learning Engineer job openings:

Remote Machine Learning Engineer jobs near you
Infographic showing various Remote Machine Learning Engineer job openings in Chula Vista, CA as of August 2026, with employment types broken down into 1% As Needed, 76% Full Time, 22% Part Time, and 1% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $133,482 per year, or $64.2 per hour.

Machine Learning Engineer

AbbVie

San Diego, CA • On-site, Remote

$109K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 14 hours ago

AbbVie rating

8.6

Company rating: 8.6 out of 10

Based on 101 frontline employees who took The Breakroom Quiz

15th 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

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Benefits

Hours and flexibility

Workplace

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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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