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Remote Machine Learning Jobs in Temecula, CA (NOW HIRING)

NTENT

Senior Data Engineer

Carlsbad, CA · On-site +1

$109K - $148K/yr

Carlsbad office (Initially Remote) About Us: NTENT provides a Platform-as-a-Service (PaaS ... NTENT utilizes a machine learning algorithmic approach to comprehend massive amounts of information ...

DataAnnotation

Software Engineer - AI Trainer

Carlsbad, CA · On-site +1

$50 - $100/hr

Contribute to developing cutting-edge AI systems, while enjoying the flexibility of remote work and ... full-stack, machine learning, and other engineers -- who are driving real-world impact in AI ...

DataAnnotation

Programmer - AI Trainer

Carlsbad, CA · On-site +1

$50 - $100/hr

Contribute to developing cutting-edge AI systems, while enjoying the flexibility of remote work and ... full-stack, machine learning, and other engineers -- who are driving real-world impact in AI ...

Airspace

FP&A Analyst

Carlsbad, CA · On-site +1

$70K - $80K/yr

As a recognized leader in AI and machine learning, our team leverages data and patented technology ... Location: Carlsbad, CA (Hybrid) or Remote Compensation Salary range: $70,000 - $80,000 * High ...

All JobsMachine Learning JobsRemote Machine Learning JobsRemote Machine Learning Jobs in Temecula, CA

Remote Machine Learning information

See Temecula, CA salary details

$25.3K

$42.3K

$87.4K

How much do remote machine learning jobs pay per year?

As of Sep 11, 2026, the average yearly pay for remote machine learning in Temecula, CA is $42,307.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,300.00 and $45,700.00 per year, depending on experience, location, and employer.

What is a remote machine learning job?

A remote machine learning job involves working with algorithms, data, and models to develop predictive systems or automate tasks, all while working from a location outside of a traditional office setting. Professionals in this role use techniques from statistics and computer science to analyze data, train machine learning models, and deploy solutions for real-world applications. Remote machine learning jobs can span various industries, including technology, healthcare, finance, and e-commerce. These roles typically require strong programming skills, knowledge of machine learning frameworks, and the ability to communicate findings effectively with team members or stakeholders. Working remotely offers flexibility, but also requires discipline and self-motivation to succeed.

What are some effective strategies for collaborating with team members while working remotely as a machine learning engineer?

Collaboration in a remote Machine Learning role often relies on clear communication through digital tools such as Slack, Zoom, and project management platforms like Jira or Asana. Regular check-ins and stand-up meetings help keep everyone aligned on project goals and timelines. Sharing code and models via version control systems (like Git) and using collaborative notebooks (such as JupyterHub or Google Colab) are also common practices. Building strong documentation habits and proactively seeking feedback can help ensure smooth teamwork and project success, even across different time zones.

What is the difference between Remote Machine Learning vs Data Scientist?

AspectRemote Machine LearningData Scientist
Required CredentialsBachelor's/Master's in CS, ML certificationsBachelor's/Master's in CS, Statistics, or related field
Work EnvironmentRemote, collaborative teams, tech companiesRemote or on-site, diverse industries, analytics focus
Industry UsageTech, AI startups, researchFinance, healthcare, e-commerce, tech
Search & Comparison IntentOften compared for technical roles in AI/MLBroader data analysis roles, but overlapping skills

Remote Machine Learning specialists focus on developing algorithms and models primarily in tech environments, often requiring advanced programming and ML knowledge. Data Scientists analyze data to extract insights, sometimes utilizing ML techniques. While both roles share skills and credentials, Remote Machine Learning emphasizes model development, whereas Data Scientists focus on data analysis and interpretation.

More about Remote Machine Learning jobs

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

The top searched job categories for Remote Machine Learning jobs in Temecula, CA are:

What cities near Temecula, CA are hiring for Remote Machine Learning jobs?

Cities near Temecula, CA with the most Remote Machine Learning job openings:

Remote Machine Learning jobs near you
Infographic showing various Remote Machine Learning job openings in Temecula, CA as of August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 23% Part Time, and 1% Contract. Highlights an 86% Physical, 2% Hybrid, and 12% Remote job distribution, with an average salary of $42,307 per year, or $20.3 per hour.

Senior Data Engineer

Carlsbad, CA • On-site, Remote

NTENT
See more jobs at NTENTexternal

$109K - $148K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted yesterday

Job description

Senior Data Engineer
Position: Full time
Location: Carlsbad office (Initially Remote)
About Us:
NTENT provides a Platform-as-a-Service (PaaS), allowing industry partners to customize, localize and integrate Voice Assistant and Search technologies directly into their business-to-consumer offerings. NTENT utilizes a machine learning algorithmic approach to comprehend massive amounts of information across the web. Through the company’s proprietary search engine, ontology and knowledge graph, NTENT makes it easier to decipher meaning, surfacing the most relevant answers, results, content and ads, via conversational interfaces or text.
We are a unique group of brilliant minds intent on discovering, learning and building. We work in a vibrant atmosphere, with an emphasis on personal and professional development. This is an opportunity to tackle complex problems usually reserved for a handful of large companies in the search industry.

About the Opportunity:
We are a dynamic company looking for our next great hire to join our team in Carlsbad, California.
We are looking for a Senior Data Engineer to join our team to manage and oversea data logging, pipelines, processing and presentation of data related to NTENT's platforms. The right candidate will take a lead role on the design of NTENT's next generation platform utilizing technologies outside of the Hadoop ecosystem.
Duties and Responsibilities:
  • Design, implement, and support ETL data pipelines in a big data environment
  • Maintain and improve existing data logging, pipeline and analytics platform
  • Architect and design next generation data platform with appropriate new technologies
  • Work with executives, product managers, machine learning scientists, and engineers to understand reporting and visualization needs
  • Design, implement, and support a SQL based data warehouse
  • Ensure reliability and accuracy of data logging and processing for all NTENT products
Skills and Qualifications:
  • Graduate degree in Computer Science or a similar field, or equivalent work experience
  • 3+ years working in Data Engineering or Data Warehousing
  • Experience with T-SQL, specifically Microsoft SQL Server
  • Experience with Database design and schema definition
  • Experience with Hadoop ecosystem (Hive, Pig, Oozie)
  • Experience with Python
  • Experience with Data Visualization and Reporting platforms
The following experience is a plus:
  • Tableau
  • Kafka
  • Spark
The ideal candidate will be self-motivated, possess excellent communication skills (both oral and written) and be able to work independently. A keen interest in various aspects of language processing is essential in our multi-disciplinary team.
We offer a full comprehensive benefits package including medical, dental and vision. Employees receive a generous time off (PTO) plan and 13 holidays per year. We also offer 401(k) benefits, long term disability benefits and life insurance.

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