ZipRecruiter

Log In

2

No Experience Machine Learning Jobs in Oxnard, CA

Teklead Corp

Sr Python Developer

Agoura Hills, CA · On-site

$66 - $77/hr

... team, work on Machine Learning, Natural Language Processing, and Generative AI projects. Job ... degree. ● Experience with Python libraries for ML, NLP, Search, AI . ● Experience with NER ...

GrayMeta Inc.

Sales Representative

Thousand Oaks, CA · On-site

... Machine Learning Services delivers tremendous value across the media supply chain - combined, our ... Experience with managing accounts, opportunities, and activities in a CRM such as Salesforce.com ...

Local Bounti

Machine Operator II

Carpinteria, CA · On-site

$18.50/hr

... no need for herbicides or pesticides , and the lowest carbon footprint in the industry . We are ... Pay is dependent on experience and skills. * Other duties as assigned. Required Skills/Abilities:

Local Bounti

Machine Operator II

Carpinteria, CA · On-site

$18.50/hr

... no need for herbicides or pesticides , and the lowest carbon footprint in the industry . We are ... Pay is dependent on experience and skills. * Other duties as assigned. Required Skills/Abilities:

Teklead Corp

Sr Python Developer

Agoura Hills, CA

$66 - $77/hr

... team, work on Machine Learning, Natural Language Processing, and Generative AI projects. Job ... Experience with Python libraries for ML, NLP, Search, AI . ● Experience with NER, Chatbots, RAG ...

Teklead Corp.

Sr Python Developer

Agoura Hills, CA · On-site

$66 - $77/hr

... team, work on Machine Learning, Natural Language Processing, and Generative AI projects. Job ... Experience with Python libraries for ML, NLP, Search, AI . • Experience with NER, Chatbots, RAG ...

next page

Showing results 1-20

All JobsMachine Learning JobsNo Experience Machine Learning JobsNo Experience Machine Learning Jobs in Oxnard, CA

No Experience Machine Learning information

See Oxnard, CA salary details

$14

$24

$32

How much do no experience machine learning jobs pay per hour?

As of Aug 27, 2026, the average hourly pay for no experience machine learning in Oxnard, CA is $24.17, according to ZipRecruiter salary data. Most workers in this role earn between $20.87 and $26.97 per hour, depending on experience, location, and employer.

What kinds of projects or learning opportunities can I expect in a no experience machine learning role?

In a no experience machine learning role, you will often start by assisting with data preprocessing, exploring datasets, and supporting more experienced engineers on real-world projects. You may also participate in internal trainings, mentorship programs, or hands-on workshops to build up your technical skills. Collaboration is common, so expect regular team meetings and opportunities to pair-program or seek guidance from senior colleagues. Over time, as you gain proficiency, you may be assigned small-scale projects or research tasks, providing a clear pathway to take on more complex responsibilities. This supportive environment is designed to help you gradually develop expertise and advance your career in machine learning.

What are the key skills and qualifications needed to thrive in the no experience machine learning position, and why are they important?

To thrive in an entry-level machine learning role with no prior experience, you should possess a solid understanding of mathematics (especially statistics and linear algebra), basic programming knowledge (often in Python), and a willingness to learn. Familiarity with popular data science tools and frameworks such as scikit-learn, TensorFlow, or online courses and certifications in machine learning is advantageous. Curiosity, problem-solving abilities, and effective communication are soft skills that help you work collaboratively and adapt to new challenges. These attributes are important because they enable quick learning, help you contribute to team projects, and support your growth in a rapidly evolving technical field.

Can you get a machine learning job with no experience?

Entry-level machine learning roles often require some knowledge of programming, statistics, and data analysis, but many employers are willing to hire candidates with little to no experience if they demonstrate strong foundational skills and a willingness to learn. Building a portfolio through online courses, projects, and certifications can improve chances of securing such positions. Internships and apprenticeships are also common pathways for those new to the field.

What are the most commonly searched types of Machine Learning jobs in Oxnard, CA?

The most popular types of Machine Learning jobs in Oxnard, CA are:

What are popular job titles related to No Experience Machine Learning jobs in Oxnard, CA?

For No Experience Machine Learning jobs in Oxnard, CA, the most frequently searched job titles are:

What job categories do people searching No Experience Machine Learning jobs in Oxnard, CA look for?

The top searched job categories for No Experience Machine Learning jobs in Oxnard, CA are:

What cities near Oxnard, CA are hiring for No Experience Machine Learning jobs?

Cities near Oxnard, CA with the most No Experience Machine Learning job openings:

No Experience Machine Learning jobs near you
Infographic showing various No Experience Machine Learning job openings in Oxnard, CA as of August 2026, with employment types broken down into 1% As Needed, 71% Full Time, 25% Part Time, and 3% Contract. Highlights an 92% Physical, 2% Hybrid, and 6% Remote job distribution, with an average salary of $50,268 per year, or $24.2 per hour.

Staff Machine Learning Engineer

AppFolio, Inc

Santa Barbara, CA • On-site

$200 - $250/hr

Other

Re-posted 27 days ago

AppFolio rating

7.2

Company rating: 7.2 out of 10

Based on 8 frontline employees who took The Breakroom Quiz

184th of 246 rated software companies

Job description

Staff Machine Learning Engineer – Software Engineering

Locations: Santa Barbara, CA; San Diego, CA; Remote - San Francisco, CA; Remote - Denver, CO.

Overview

We’re building an AI‑native platform for the real estate industry and are looking for a Staff Machine Learning Engineer to advance the ML platform that underpins all of AppFolio’s AI initiatives.

Your Impact
  • ML Platform: Design and operate AppFolio’s ML infrastructure on AWS – ECS, SageMaker, GPU fleets, model serving, autoscaling, and cost controls.
  • Drive AI Cost Discipline: Optimize cost across all AI applications – provider routing, caching, batch vs. real‑time, model-size selection, and inference economics.
  • Multi‑Provider Reliability: Maintain reliable, multi‑provider LLM access across Google, OpenAI, and Anthropic with sensible fallbacks and abstractions.
  • Training & Fine‑Tuning Stack: Build the training and fine‑tuning stack for small language models, including data pipelines, GPU orchestration, and evaluation.
  • Productionize Research: Partner with Voice & Agents and Research ML engineers to harden prototypes into production systems with SLOs, on‑call rotations, and observability.
  • AI Safety & Guardrails: Operate AppFolio’s AI safety and authorization layer – guardrails on AWS, scoped tool permissions, and human‑in‑the‑loop gates for autonomous agent actions.
Qualifications
  • Systems thinker: Think in terms of platforms and long‑term leverage, not just features.
  • Production builder: Built and scaled ML infrastructure in production with meaningful business impact.
  • Ambiguity: Operate effectively in high ambiguity, turning unclear infra problems into clear direction.
  • Owner‑operator: Take ownership with a founder/owner‑operator mindset, act with urgency, and focus on outcomes.
  • Pace: Strong desire to move fast and deliver impact while maintaining sound engineering judgment.
  • Collaboration: Humble, collaborative, low‑ego, and elevate those around you.
  • Sustainability: Value work‑life balance as a foundation for sustained high performance.
  • Reliability mindset: Treat ML infra like any other production system – SLOs, on‑call, observability, postmortems.
Must Have
  • ML infra at scale: Built and operated production ML infrastructure on AWS – ECS, SageMaker, GPUs, autoscaling, and cost controls.
  • Inference platforms: Production experience with model serving for both LLMs and custom models; understands quantization, batching, and routing.
  • Provider breadth: Direct experience integrating with Google (Vertex/Gemini), OpenAI, and Anthropic APIs in production.
  • Training capability: Trained or fine‑tuned language models end‑to‑end; comfortable with deep learning, evaluation, and inference.
  • Cloud‑native engineering: Strong Python, Docker, dependency management, and CI/CD for AI workloads.
  • RAG & agents: Working knowledge of LangChain / LangGraph and modern RAG patterns over structured and unstructured data.
  • Cost optimization: Demonstrated experience reducing unit cost of AI workloads without regressing quality or latency.
  • AI safety & authorization: Hands‑on experience operating AI guardrails, scoped tool permissions, and authorization layers for production AI systems.
Nice to Have
  • Experience training small language models for production use.
  • GPU performance tuning (vLLM, TensorRT, Triton, or similar).
  • Prior staff‑level role at a company with a significant AI infra footprint.
  • Experience with ontology‑driven systems or knowledge graphs supporting AI applications.
  • Contributions to open‑source ML infrastructure or LLM tooling.
Compensation & Benefits
  • Base pay range: $200,000 – $250,000. Additional benefits and bonuses may apply.
  • Regular full‑time employees are eligible for benefits.
Statement of Equal Opportunity

At AppFolio, we value diversity in backgrounds and perspectives. We are a proud Equal Opportunity Employer and welcome applicants of all races, colors, religions, sexes, sexual orientations, gender identifications, national origins, ages, marital statuses, ancestries, physical or mental disabilities, or veteran status.

#J-18808-Ljbffr

What AppFolio employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Apply