ZipRecruiter

Log In

1

Project Learning Tree Jobs in California (NOW HIRING)

Landsystems

Arbor Crew Leader

Encinitas, CA

$19.25 - $24.50/hr

We are a values-based learning organization committed to being the best place to work as a ... Update project progress through ArborNote Works program twice daily Report equipment in need of ...

Uber

Machine Learning Engineer

San Francisco, CA · On-site +1

You'll be part of a team working on greenfield projects at the intersection of ML, security, and ... tree-based models (XGBoost, LightGBM), classical methods (logistic regression, SVMs), and exposure ...

Uber

You'll be part of a team working on greenfield projects at the intersection of ML, security, and ... tree-based models (XGBoost, LightGBM), classical methods (logistic regression, SVMs), and exposure ...

Etched

Machine Learning Research Engineer

Cupertino, CA · On-site

$2.0K/mo

Representative projects * Propose and implement a novel test time compute algorithm that leverages ... Implement model-specific inference-time acceleration techniques such as speculative decoding, tree ...

Etched

Machine Learning Research Engineer

Cupertino, CA

$2.0K/mo

Representative projects * Propose and implement a novel test time compute algorithm that leverages ... Implement model-specific inference-time acceleration techniques such as speculative decoding, tree ...

SynergisticIT

Entry Level Data Scientiest

Los Angeles, CA · On-site

$18 - $24/hr

From staffing to full implementation of projects we provide the highest quality IT Services. We ... Machine Learning Algorithms - Linear Regression, Logistic Regression, Decision Tree * Unsupervised ...

Adapture Renewables

O&M Manager

Oakland, CA · On-site

$130K - $133K/yr

Maintaining: fencing, gates, barbed wire, security, site access road issues, erosion, roads, neighbors, tree trimming, and other activities * Support the commissioning and onboarding of new projects.

Adapture Renewables

O&M Manager

Oakland, CA

$130K - $133K/yr

Maintaining: fencing, gates, barbed wire, security, site access road issues, erosion, roads, neighbors, tree trimming, and other activities * Support the commissioning and onboarding of new projects.

Etched

Machine Learning Research Engineer

Cupertino, CA · On-site

$2.0K/mo

Representative projects * Propose and implement a novel test time compute algorithm that leverages ... Implement model-specific inference-time acceleration techniques such as speculative decoding, tree ...

Uber

Machine Learning Engineer

San Francisco, CA · On-site

You'll be part of a team working on greenfield projects at the intersection of ML, security, and ... tree-based models (XGBoost, LightGBM), classical methods (logistic regression, SVMs), and exposure ...

next page

Showing results 1-20

All JobsProject Learning Tree JobsProject Learning Tree Jobs in California

Project Learning Tree information

See California salary details

$21

$50

$78

How much do project learning tree jobs pay per hour?

As of Jul 7, 2026, the average hourly pay for project learning tree in California is $50.73, according to ZipRecruiter salary data. Most workers in this role earn between $40.10 and $59.57 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Project Learning Tree Coordinator, and why are they important?

To thrive as a Project Learning Tree Coordinator, you need a background in environmental education, strong organizational abilities, and experience in curriculum development—often supported by a relevant degree in education or environmental science. Familiarity with educational technology platforms, workshop facilitation tools, and knowledge of Project Learning Tree resources is typically required. Outstanding communication, leadership, and collaboration skills help in building partnerships and engaging diverse audiences. These competencies are crucial for effectively delivering environmental education programs and expanding their reach and impact.

What is the difference between Project Learning Tree vs Environmental Educator?

AspectProject Learning TreeEnvironmental Educator
CredentialsTypically no formal credentials required; training providedOften requires a degree in environmental science, education, or related field
Work EnvironmentClassroom, outdoor settings, workshopsSchools, nature centers, parks, community programs
Industry UsageUsed as a curriculum resource and training programProfessionally employed to educate about environmental issues
Search/Comparison IntentUnderstanding program differences or training optionsCareer options or job roles in environmental education

Project Learning Tree is primarily a curriculum and training program aimed at educators and volunteers, focusing on environmental education through workshops and resources. Environmental Educator is a professional role involving teaching environmental topics in various settings, often requiring formal education and certifications. While both focus on environmental awareness, one is a program and the other a career path.

What types of projects and daily tasks can I expect to work on as part of the Project Learning Tree team?

As a member of the Project Learning Tree (PLT) team, you will typically engage in developing and delivering environmental education programs, collaborating with educators and community partners, and supporting curriculum design. Daily tasks may include creating educational resources, organizing training workshops, and evaluating program outcomes. You will also frequently collaborate with other team members, such as education coordinators and outreach specialists, to ensure effective program implementation and continuous improvement. This role offers opportunities for creativity and impact, as well as professional growth in the environmental education sector.

What is Project Learning Tree?

Project Learning Tree (PLT) is an environmental education program designed to engage students and educators in learning about forests, trees, and the natural environment. It provides curriculum resources, training, and activities focused on sustainability and environmental stewardship. PLT aims to foster critical thinking, problem-solving, and decision-making skills while encouraging a deeper understanding of environmental issues. The program is widely used in schools and by community organizations to support hands-on, interdisciplinary learning.
What are popular job titles related to Project Learning Tree jobs in California? For Project Learning Tree jobs in California, the most frequently searched job titles are:
What job categories do people searching Project Learning Tree jobs in California look for? The top searched job categories for Project Learning Tree jobs in California are:
Project Learning Tree jobs near you
Infographic showing various Project Learning Tree job openings in California as of July 2026, with employment types broken down into 70% Full Time, 16% Part Time, and 14% Contract. Highlights an 86% In-person, and 14% Remote job distribution, with an average salary of $105,525 per year, or $50.7 per hour.

Senior Machine Learning Engineer - 1

Parspec

San Mateo, CA • On-site

$13/hr

Full-time

Medical, Dental, Vision, PTO

Re-posted 27 days ago

Job description

About Parspec
Founded in 2021, Parspec is revolutionizing material procurement for the $13 trillion USD construction industry by digitizing and organizing the industry's product data. Our proprietary AI technology maintains a current and comprehensive catalogue of millions of products, enabling our customers to identify products that best meet their needs - instantly. Trusted by top designers, builders, distributors and sales agents and backed by leading venture investors, Parspec is paving the way for a more innovative, connected, and sustainable future in construction. Join us in building transformative technology that reshapes one of the world's oldest and largest industries.
The Opportunity
We are seeking a highly skilled Senior Machine Learning Engineer to join our AI team and play a pivotal role in developing state-of-the-art discovery and extraction systems. As a senior member of the team, you will lead the design, development, and deployment of sophisticated machine learning models, specifically focusing on search ranking, recommendation engines, and high-precision document extraction. You will work on complex data science problems while collaborating closely with business, product, and engineering teams to deliver impactful AI-driven features that are central to our product offering.
This is a unique opportunity to be at the forefront of innovation, leveraging advanced AI technologies like LLMs and vector databases to transform an industry ripe for digital disruption.
What You Will Achieve and Key Responsibilities
AI System Development
  • Search & Recommendation Systems: Lead the design and implementation of advanced Search, Ranking, and Recommendation systems to help customers navigate millions of technical products.
  • Doc Extraction & NLP: Develop high-precision NLP and document extraction pipelines to digitize and structure complex construction data from unstructured sources.
  • Advanced Architecture: Research and implement novel deep learning architectures, focusing on hybrid retrieval models and fine-tuned LLMs.
  • Production Deployment: Develop, train, and deploy deep learning and machine learning models that are scalable, extensible, and integrated into production environments.
  • Agentic Workflows: Architect autonomous or semi-autonomous agents that can plan and execute multi-step discovery tasks.
Full Product Lifecycle Participation
  • Technical Leadership: Collaborate with product managers and UX designers to integrate AI components into fully functional systems, providing technical guidance on feasibility and architecture.
  • End-to-End Ownership: Participate in the complete product lifecycle-from concept design to development, integration, testing, and deployment.
Scalable Solutions
  • High-Volume Data: Build products that handle large data volumes efficiently while remaining highly scalable for onboarding new clients.
  • Pipeline Design: Design complete end-to-end data and ML pipelines, ensuring seamless integration and monitoring in production.
Research & Collaboration
  • R&D Initiatives: Work closely with the leadership team on research efforts to explore cutting-edge technologies, such as vector databases and embedding-based retrieval.
  • Excellence Standards: Uphold a culture of engineering excellence by maintaining high standards in code quality, documentation, and innovation
Why This Matters
Your contributions will be instrumental in advancing Parspec's AI capabilities, enabling us to build intelligent systems that solve real-world problems in construction technology. By developing scalable AI solutions, you will help digitize an industry while driving innovation through state-of-the-art machine learning techniques.
Minimum Qualifications
  • Education: Bachelor's or Master's degree (PhD preferred) in Science or Engineering with strong programming and analytical skills.
  • ML Expertise: Strong conceptual understanding of machine learning principles, specifically in NLP, Search, or Ranking.
  • Technical Skills: Hands-on experience implementing ML projects in Python using libraries like NumPy, scikit-learn, and pandas.
  • Deep Learning: Proficiency in training and fine-tuning deep learning models using PyTorch or TensorFlow.
  • Leadership: Proven ability to lead technical initiatives from concept to operation while navigating complex challenges.
Preferred Qualifications
  • Specialized Infrastructure: Deep experience with Vector Databases (e.g., Pinecone, Milvus) and optimizing embedding models for retrieval.
  • Fine-tuning: Experience fine-tuning LLMs for specialized domain tasks and ranking signals.
  • AI Agent Orchestration: Hands-on experience with agentic frameworks (e.g., LangGraph, AutoGen, or CrewAI) for building complex, multi-step reasoning chains.
  • Planning & Memory: Experience implementing agentic "memory" (long-term/short-term) and planning strategies (like ReAct or Tree of Thoughts).
  • Data Structures: Expert knowledge of algorithms and data structures.
  • Research & Community: A track record of publications in top-tier conferences (e.g., NeurIPS, SIGIR, KDD, ACL) or significant contributions to open-source ML projects.

What We Offer
  • Competitive salary and discretionary bonus, plus equity options. The pay range for this role is $180-$240K.
  • Unlimited PTO policy
  • Medical, dental, and vision coverage
  • Flexible hybrid work environment
  • Regular team offsites and a budget for professional development
  • Preferred Location: San Mateo, with regular in-office presence

Join Us - Lead the Transformation!
At Parspec, we recognize that traditional job descriptions don't always capture the full range of your unique abilities-and that's perfectly okay. You may not meet every requirement, but if you bring a mix of experiences, fresh perspectives, and a passion that aligns with our mission, we want to hear from you!
The Parspec team believes that varied backgrounds drive better outcomes and fuel innovation. We are a team of self-starters that lead from every seat. We think big, set a standard of excellence and are committed to diversity and a discrimination-free workplace. We welcome applicants from all walks of life to join us and help shape the future at Parspec.
How to Apply
Submit your application and resume highlighting your achievements. Apply now and help drive transformative change in one of the world's oldest and largest industries!

Apply