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Temporary Machine Learning R Jobs in Santa Monica, CA

BeeGenius

Data Scientist

Los Angeles, CA · On-site

D. in Computer Science, Statistics, or a related field • Proficiency in programming languages such as Python or R • Experience with machine learning algorithms and statistical modeling techniques ...

BeeGenius

Data Scientist

Los Angeles, CA · On-site

D. in Computer Science, Statistics, or a related field • Proficiency in programming languages such as Python or R • Experience with machine learning algorithms and statistical modeling techniques ...

Heluna Health

Data Scientist Supervisor

Alhambra, CA · On-site

$9.8K - $13K/mo

Apply advanced statistical methods, machine learning algorithms, and data mining techniques to ... Advanced programming skills in Python, R, and SQL for model development and data processing.

Heluna Health

Data Scientist Supervisor

Alhambra, CA · On-site

$9.8K - $13K/mo

Apply advanced statistical methods, machine learning algorithms, and data mining techniques to ... Advanced programming skills in Python, R, and SQL for model development and data processing.

ChromoLogic

Senior Scientist, Bioinformatics

Monrovia, CA · On-site

$90K - $120K/yr

Strong proficiency in Python, R, or similar programming languages * Experience applying machine learning, Bayesian modeling, or advanced statistical methods to biological datasets * Proven ability to ...

ChromoLogic

Senior Scientist, Bioinformatics

Monrovia, CA · On-site

$90K - $120K/yr

Strong proficiency in Python, R, or similar programming languages * Experience applying machine learning, Bayesian modeling, or advanced statistical methods to biological datasets * Proven ability to ...

Fanatics Collectibles

Data Scientist

Los Angeles, CA · On-site

Proficiency in Python or R for data analysis. * Foundational understanding of statistics, hypothesis testing, regression analysis, and experimental design. * Familiarity with machine learning ...

East West Bank

Financial Crimes Data Scientist

Pasadena, CA · On-site

$100K - $200K/yr

Leverages machine learning, network analytics, and large-scale financial data to identify emerging ... Programming Skills - knowledge of statistical programming languages like R, Python, and database ...

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All JobsMachine Learning R JobsTemporary Machine Learning R JobsTemporary Machine Learning R Jobs in Santa Monica, CA

Temporary Machine Learning R information

See Santa Monica, CA salary details

$28.6K

$47.8K

$98.8K

How much do temporary machine learning r jobs pay per year?

As of Aug 25, 2026, the average yearly pay for temporary machine learning r in Santa Monica, CA is $47,801.00, according to ZipRecruiter salary data. Most workers in this role earn between $36,500.00 and $51,600.00 per year, depending on experience, location, and employer.

What is the difference between Temporary Machine Learning R vs Data Analyst?

AspectTemporary Machine Learning RData Analyst
Required SkillsProficiency in R, machine learning algorithms, statistical modelingData visualization, SQL, basic statistical analysis
Work EnvironmentProject-based, technical teams, research-focusedBusiness units, reporting, data cleaning
CertificationsR programming, data science certificationsNone specific, often business or analytics certifications

Temporary Machine Learning R roles focus on developing predictive models using R and machine learning techniques, often in research or technical environments. Data Analysts typically handle data cleaning, visualization, and reporting for business insights. While both roles require analytical skills, Temporary Machine Learning R positions demand specialized knowledge in machine learning and R programming, making them more technical and research-oriented.

What are popular job titles related to Temporary Machine Learning R jobs in Santa Monica, CA?

For Temporary Machine Learning R jobs in Santa Monica, CA, the most frequently searched job titles are:

What job categories do people searching Temporary Machine Learning R jobs in Santa Monica, CA look for?

The top searched job categories for Temporary Machine Learning R jobs in Santa Monica, CA are:

What cities near Santa Monica, CA are hiring for Temporary Machine Learning R jobs?

Cities near Santa Monica, CA with the most Temporary Machine Learning R job openings:

Temporary Machine Learning R jobs near you
Infographic showing various Temporary Machine Learning R job openings in Santa Monica, CA as of August 2026, with employment types broken down into 1% As Needed, 71% Full Time, 27% Part Time, and 1% Contract. Highlights an 83% Physical, 3% Hybrid, and 14% Remote job distribution, with an average salary of $47,801 per year, or $23 per hour.

Machine Learning (ML) Ops Engineer - IS Clinical Research - Full Time 8 Hour Days (Exempt) (Non-Unio

University of Southern California

Los Angeles, CA • On-site

$145K - $240K/yr

Full-time

Re-posted 18 days ago

University Of Southern California rating

8.4

Company rating: 8.4 out of 10

Based on 53 frontline employees who took The Breakroom Quiz

102nd of 622 rated colleges and universities

Job description

Under the direction of Information Services Leadership, the incumbent will be responsible for the full lifecycle management of machine learning models, including design, build, and maintenance of machine learning models. The MLOps Engineer will play an integral role in implementing artificial intelligence solutions across Keck Medicine of USC. The incumbent will partner with data scientists, data team members, and clinical operations to deploy, monitor, and maintain machine learning solutions that will improve patient care, support operational excellence, and advance clinical research. The incumbent will ensure seamless integration, automation, and scaling of AI solutions within the existing infrastructure by leveraging DevOps expertise. They will maintain and continuously improve MLOps pipelines for monitoring, versioning, and deploying models in production environments. The incumbent will be responsible for the end-to-end lifecycle management of artificial intelligence solutions and comes with DevOps experience, ensuring seamless integration, deployment, and automation of systems. The MLOps Engineer will implement best practices for testing, debugging, and performance monitoring of AI systems to ensure reliability and scalability.
Essential Duties:
  • Design, build and maintain production-grade machine learning models, with real-time inference, scalability, and reliability.
  • Develop end-to-end scalable ML infrastructure using cloud platforms, such as Amazon Web Services (AWS), Google Cloud Platform (GCP), or Microsoft Azure.
  • Develop AI pipelines for various data processing needs, including data ingestion, pre-processing, and search and retrieval, ensuring solutions meet all technical and business requirements.
  • Monitor model performance for data drift and concept drift detection, automate retraining processes where necessary to maintain model accuracy and relevance.
  • Collaborate with data scientists, data engineers, analytics teams, and DevOps teams to design and implement robust deployment pipelines for continuous improvement of machine learning models.
  • Implement and optimize CI/CD pipelines for machine learning models, automating testing and deployment processes.
  • Configure and manage monitoring and logging solutions to track model performance, system health, and anomalies, enabling timely intervention and proactive maintenance.
  • Implement version control systems for machine learning models, parameters, results and associated code to track changes and facilitate collaboration.
  • Ensure all machine learning systems meet security and compliance standards, including data protection and privacy regulations.
  • Lead engineering efforts in creating and implementing methods and workflows for ML/GenAI model engineering, LLM advancements, and optimizing deployment frameworks while aligning with business strategic directions.
  • Maintain clear and comprehensive documentation of MLOps processes and configuration.
  • Strong communication and collaboration skills, to collaborate cross-functionally and align on deployment strategies and technical requirements
  • Other duties as assigned.

Required Qualifications:
  • Req Bachelor's Degree Degree in computer science, engineering or closely related field
  • Req Proven experience with: Artificial intelligence and machine learning platforms (e.g., AWS, Azure or GCP). Containerization technologies (e.g., Docker) or container orchestration platforms (e.g., Kubernetes). CI/CD tools (e.g., Github Actions). Programming languages and frameworks (e.g., Python, R, SQL). MLOps engineering principles, agile methodologies, and DevOps lifecycle management. Technical writing and documentation for AI/ML models and processes. Healthcare data and machine learning use cases.
  • Req Ability to solve complex problems through troubleshooting
  • Req Deep understanding of coding, architecture, and deployment processes
  • Req Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy
  • Req Excellent organizational skills and attention to detail
  • Req Self-starter with the ability to solution when requirements are vague or ambiguous

Preferred Qualifications:
  • Pref Master's degree Degree in computer science, engineering or closely related field

Required Licenses/Certifications:
  • Req Fire Life Safety Training (LA City) If no card upon hire, one must be obtained within 30 days of hire and maintained by renewal before expiration date. (Required within LA City only)

The annual base salary range for this position is $145,600.00 - $240,240.00. When extending an offer of employment, the University of Southern California considers factors such as (but not limited to) the scope and responsibilities of the position, the candidate's work experience, education/training, key skills, internal peer equity, federal, state, and local laws, contractual stipulations, grant funding, as well as external market and organizational considerations.
USC is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, or any other characteristic protected by law or USC policy. USC observes affirmative action obligations consistent with state and federal law. USC will consider for employment all qualified applicants with criminal records in a manner consistent with applicable laws and regulations, including the Los Angeles County Fair Chance Ordinance for employers and the Fair Chance Initiative for Hiring Ordinance, and with due consideration for patient and student safety. Please refer to the Background Screening Policy Appendix D for specific employment screen implications for the position for which you are applying.
We provide reasonable accommodations to applicants and employees with disabilities. Applicants with questions about access or requiring a reasonable accommodation for any part of the application or hiring process should contact USC Human Resources by phone at (213) 821-8100, or by email at uschr@usc.edu. Inquiries will be treated as confidential to the extent permitted by law.
  • Notice of Non-discrimination
  • Employment Equity
  • Read USC's Clery Act Annual Security Report
  • USC is a smoke-free environment
  • Digital Accessibility

If you are a current USC employee, please apply to this USC job posting in Workday by copying and pasting this link into your browser:
https://wd5.myworkday.com/usc/d/inst/1$9925/9925$126972.htmld

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About University of Southern California

Sourced by ZipRecruiter

The University of Southern California (USC) is not a conventional company, but a private research university established in the heart of Los Angeles, CA, US. Founded in 1880, it's one of the oldest private research universities in California. USC operates in the education industry providing primary services of higher education, research, and community development. This prestigious institution offers a comprehensive array of undergraduate, graduate, and professional programs across various disciplines, including the humanities, social sciences, and STEM (Science, Technology, Engineering, and Mathematics). The University is guided by its commitment to foster creativity, innovation, leadership, and discovery through academic excellence.

Industry

Colleges, universities, and professional schools

Company size

10,000+ Employees

Headquarters location

Los Angeles , CA, US

Year founded

1880

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