ZipRecruiter

Log In

1

Phd Machine Learning Jobs in Goleta, CA (NOW HIRING)

All JobsPhd Machine Learning JobsPhd Machine Learning Jobs in Goleta, CA

Phd Machine Learning information

See Goleta, CA salary details

$15

$24

$33

How much do phd machine learning jobs pay per hour?

As of Jul 14, 2026, the average hourly pay for phd machine learning in Goleta, CA is $24.62, according to ZipRecruiter salary data. Most workers in this role earn between $21.25 and $27.50 per hour, depending on experience, location, and employer.

What is a PhD in Machine Learning?

A PhD in Machine Learning is an advanced doctoral degree focused on developing new algorithms, theories, and applications in the field of machine learning. Graduates typically conduct original research, contribute to academic publications, and often specialize in areas like deep learning, reinforcement learning, or probabilistic modeling. This degree prepares individuals for careers in academia, industry research labs, or leadership roles in tech companies. The program usually involves coursework, comprehensive exams, and the completion of a dissertation based on novel research.

What are the key skills and qualifications needed to thrive as a PhD-level Machine Learning professional, and why are they important?

To thrive as a PhD-level Machine Learning professional, you need deep expertise in mathematics, statistics, computer science, and advanced machine learning algorithms, typically supported by a doctoral degree. Proficiency with programming languages like Python or R, machine learning frameworks such as TensorFlow or PyTorch, and experience with large-scale data systems are essential. Strong problem-solving skills, critical thinking, and effective communication set outstanding candidates apart by enabling them to tackle complex research challenges and collaborate across teams. These skills and qualities are crucial for driving innovation, publishing research, and developing impactful machine learning solutions.

What are some common challenges faced by PhD-level professionals in machine learning when transitioning from academia to industry roles?

PhD graduates in machine learning often encounter challenges such as adapting to faster-paced project timelines, aligning research with business objectives, and collaborating in multidisciplinary teams. Unlike academia, where projects can be exploratory and long-term, industry roles usually require actionable results within shorter deadlines. Additionally, communicating complex technical ideas to non-technical stakeholders and prioritizing practical solutions over theoretical novelty are key adjustments. However, these challenges also present opportunities for professional growth and broader impact.

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

AspectPhd Machine LearningData Scientist
Required CredentialsPhD in Computer Science, AI, or related fieldBachelor's or Master's in Data Science, Statistics, or related field
Work EnvironmentResearch labs, academia, R&D departmentsBusiness, tech companies, analytics teams
Industry UsageResearch-focused roles, advanced algorithm developmentData analysis, model building, business insights
Common Search/ComparisonYesYes

While both roles involve working with data and algorithms, a Phd Machine Learning typically focuses on research, developing new models, and theoretical work, often in academic or R&D settings. A Data Scientist applies these techniques to solve practical business problems, analyze data, and generate insights in industry environments.

What cities near Goleta, CA are hiring for Phd Machine Learning jobs? Cities near Goleta, CA with the most Phd Machine Learning job openings:
Phd 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

Re-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

179th of 553 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