ZipRecruiter

Log In

1

Associate Machine Learning Jobs in Santa Barbara, CA

AMRESCO

Maintenance Technician I

Carpinteria, CA · On-site

$50K - $80K/yr

Ensure operation of machinery and mechanical equipment by completing preventive maintenance ... Join our global team of 14,000+ associates whose passion for discovery and determination to ...

Avantor Inc.

Maintenance Technician I

Carpinteria, CA

$50K - $80K/yr

Ensure operation of machinery and mechanical equipment by completing preventive maintenance ... Join our global team of 14,000+ associates whose passion for discovery and determination to ...

Avantor, Inc.

Maintenance Technician I

Carpinteria, CA · On-site

$50K - $80K/yr

Ensure operation of machinery and mechanical equipment by completing preventive maintenance ... Join our global team of 14,000+ associates whose passion for discovery and determination to ...

Avantor Inc.

Sr. Maintenance Technician

Carpinteria, CA

$57K - $92K/yr

Conduct general maintenance activities primarily on machinery and related equipment, troubleshoots ... Join our global team of 14,000+ associates whose passion for discovery and determination to ...

Avantor, Inc.

Sr. Maintenance Technician

Carpinteria, CA · On-site

$57K - $92K/yr

Conduct general maintenance activities primarily on machinery and related equipment, troubleshoots ... Join our global team of 14,000+ associates whose passion for discovery and determination to ...

AMRESCO

Project Engineer

Carpinteria, CA · On-site

Create3D and 2D layouts thatare ready tobe used to construct processes or fabricated machinery ... Join our global team of 14,000+ associates whose passion for discovery and determination to ...

Avantor Inc.

Project Engineer

Carpinteria, CA

Create3D and 2D layouts thatare ready tobe used to construct processes or fabricated machinery ... Join our global team of 14,000+ associates whose passion for discovery and determination to ...

AMRESCO

Sr. Maintenance Technician

Carpinteria, CA · On-site

$57K - $92K/yr

Conduct general maintenance activities primarily on machinery and related equipment, troubleshoots ... Join our global team of 14,000+ associates whose passion for discovery and determination to ...

Avantor, Inc.

Project Engineer

Carpinteria, CA · On-site

Create 3D and 2D layouts that are ready to be used to construct processes or fabricated machinery ... Join our global team of 14,000+ associates whose passion for discovery and determination to ...

Avantor Inc.

Material Handler

Carpinteria, CA

$17 - $20.50/hr

Operate a shrink-wrap machine. Charge forklift battery as needed; stack and/or separate good from ... Join our global team of 14,000+ associates whose passion for discovery and determination to ...

AMRESCO

Material Handler

Carpinteria, CA · On-site

$17 - $20.50/hr

Operate a shrink-wrap machine. Charge forklift battery as needed; stack and/or separate good from ... Join our global team of 14,000+ associates whose passion for discovery and determination to ...

next page

Showing results 1-20

All JobsAssociate Machine Learning JobsAssociate Machine Learning Jobs in Santa Barbara, CA

Associate Machine Learning information

See Santa Barbara, CA salary details

$35K

$148.1K

$349.9K

How much do associate machine learning jobs pay per year?

As of Jul 15, 2026, the average yearly pay for associate machine learning in Santa Barbara, CA is $148,055.00, according to ZipRecruiter salary data. Most workers in this role earn between $51,200.00 and $224,800.00 per year, depending on experience, location, and employer.

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

AspectAssociate Machine LearningData Scientist
Required CredentialsBachelor's degree in CS, Data Science, or related field; some roles may require certifications in ML or AIBachelor's or Master's in CS, Statistics, or related; often requires experience with data analysis and programming
Work EnvironmentEntry-level, team-based projects, focused on supporting ML models and data preprocessingMore autonomous, involved in data analysis, model development, and interpretation
Employer & Industry UsageTech companies, startups, research labs; roles in AI and ML teamsWide range of industries including tech, finance, healthcare, and consulting

While both roles involve working with data and machine learning, an Associate Machine Learning typically focuses on supporting ML projects with less experience, whereas a Data Scientist has broader responsibilities including data analysis, model development, and strategic insights. The roles often overlap but differ in scope and experience level.

What are the key skills and qualifications needed to thrive as an Associate Machine Learning Engineer, and why are they important?

To thrive as an Associate Machine Learning Engineer, you need a solid background in mathematics, programming (especially Python), and foundational machine learning concepts, usually supported by a relevant degree. Familiarity with tools like TensorFlow, PyTorch, scikit-learn, and experience with data processing libraries and version control systems is typically required. Strong analytical thinking, problem-solving ability, and effective collaboration skills help you stand out in this role. These competencies are essential for developing robust models, working efficiently with teams, and delivering impactful data-driven solutions.

What are some common challenges faced by Associate Machine Learning professionals when transitioning from academic projects to real-world business applications?

Associate Machine Learning professionals often find that moving from academic or theoretical projects to business-focused environments introduces new challenges. Real-world datasets can be messy, incomplete, or imbalanced, requiring additional data cleaning and preprocessing. Moreover, business timelines may require rapid prototyping and iterative model development, which is different from the more open-ended nature of academic research. Collaborating with cross-functional teams such as data engineers, product managers, and business stakeholders is also essential to align models with organizational goals. Adapting to these practical aspects is key to succeeding in an Associate Machine Learning role.

What does an Associate Machine Learning Engineer do?

An Associate Machine Learning Engineer assists in designing, developing, and deploying machine learning models under the supervision of senior engineers. They handle tasks such as data preprocessing, model evaluation, and maintaining machine learning pipelines. Associates often collaborate with data scientists, software engineers, and business teams to ensure that machine learning solutions are integrated effectively into products or services. This role is typically entry-level or early career and is a stepping stone toward more advanced machine learning positions.
What are the most commonly searched types of Machine Learning jobs in Santa Barbara, CA? The most popular types of Machine Learning jobs in Santa Barbara, CA are:
What job categories do people searching Associate Machine Learning jobs in Santa Barbara, CA look for? The top searched job categories for Associate Machine Learning jobs in Santa Barbara, CA are:
What cities near Santa Barbara, CA are hiring for Associate Machine Learning jobs? Cities near Santa Barbara, CA with the most Associate Machine Learning job openings:
Associate Machine Learning jobs near you
Postdoctoral Researcher-- Foundations of a Resilient Microbiome (2 Positions)

Postdoctoral Researcher-- Foundations of a Resilient Microbiome (2 Positions)

University of California Santa Barbara

Santa Barbara, CA • On-site

Other

Posted 6 days ago

University Of California Santa Barbara rating

7.9

Company rating: 7.9 out of 10

Based on 7 frontline employees who took The Breakroom Quiz

181st of 555 rated colleges and universities

Job description

Position description
The University of California, Santa Barbara (UCSB) California NanoSystems Institute (CNSI) invites applications for two (2) Postdoctoral Research positions in machine learning and computational modeling, focused on identifying pathways involving the gut-brain axis that link the infant microbiome with neurodevelopment and Autism Spectrum Disorder (ASD). This project is part of the Wellcome Leap FORM initiative: Foundations of a Resilient Microbiome (Wellcome Leap Form) and involves closed-loop collaborations between experiments, modeling, and lived experiences (Wellcome Leap Awards).
Statistical and dynamical models will be developed based on metabolomic and metagenomic data obtained from experiments conducted in UCSB's ExFAB BioFoundry for Extreme and Exceptional Fungi, Archea, and Bacteria (ExFAB website) in parallel with the modeling effort. Perturbation, dynamic trajectory, stability, and resilience analysis will follow a closed-loop format linking AI and dynamical models with experimental protocols and outcomes. The successful candidate will contribute to this work with freedom to pursue creative interests related to the project. They will have access to the broad multidisciplinary research environment at UCSB, including the REAL AI initiative, which focuses on developing AI-powered digital twins for complex systems, the Departments of Physics, Ecology, Evolution and Marine Biology, Psychology and Brain Sciences, the College of Engineering, and the Koegel Autism Center. Link to REAL Al website.
Qualifications
Basic qualifications (required at time of application)
Applicants must have completed all requirements for a PhD (or equivalent) in Physics, Computer Science, Bioengineering, Ecology, or a related field, except the dissertation, at the time of application.
Additional qualifications (required at time of start)
PhD in Physics, Computer Science, Bioengineering, Ecology, or a related field required at the time of appointment.
Preferred qualifications
• Coding fluency in Python for machine learning and statistical analyses.
• Excellent statistical and/or causal inference skills.
• Experience with modeling and statistical analysis of metagenomic and metabelomic data.
• Strong background in ecological theory and modeling.
• Experience leading peer-reviewed publications and/or reports.
• Excellent communication and collaboration skills, with an ability to work effectively in a multidisciplinary team.
Application Requirements
Document requirements
  • Curriculum Vitae - Your most recently updated C.V.
  • Cover Letter
  • Statement of Research

Reference requirements
  • 3 letters of reference required
Apply link: https://recruit.ap.ucsb.edu/JPF03089
Help contact: alexis_torres@ucsb.edu
About UC Santa Barbara
As a condition of employment, the finalist will be required to disclose if they are subject to any final administrative or judicial decisions within the last seven years determining that they committed any misconduct.
  • "Misconduct" means any violation of the policies or laws governing conduct at the applicant's previous place of employment, including, but not limited to, violations of policies or laws prohibiting sexual harassment, sexual assault, or other forms of harassment or discrimination as defined by the employer.
  • UC Sexual Violence and Sexual Harassment Policy
  • UC Anti-Discrimination Policy for Employees, students and third parties
  • APM - 035: Affirmative Action and Nondiscrimination in Employment

Additionally, you will be required to comply with the University of California Policy on Vaccination Programs , as may be amended or revised from time to time. Federal, state, or local public health directives may impose additional requirements.
The University of California 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, disability, age, protected veteran status, or other protected status under state or federal law.
Job location
Santa Barbara, CA

What University Of California Santa Barbara employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Apply