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Project Learning Tree Jobs in New York (NOW HIRING)

Orita

Senior Machine Learning Engineer

New York, NY · On-site +1

$180K - $250K/yr

Deep knowledge of modern machine learning algorithms (tree-based methods, deep learning ... Self-starter mentality with the ability to own projects from ideation to deployment, picking up and ...

Arcadis

Mid-Level Arborist

Manhattan, NY

Arcadis is seeking to hire a Mid level Arborist to join our team to work on projects for NYC Parks ... You must be comfortable using/learning the city's ForMS program for all assignments, ensuring data ...

Arcadis

Mid-Level Arborist

New York, NY · On-site

Arcadis is seeking to hire a Mid level Arborist to join our team to work on projects for NYC Parks ... You must be comfortable using/learning the city's ForMS program for all assignments, ensuring data ...

CyberCoders

Data Scientist

New York, NY · On-site

... learning algorithms, such as tree-based models like Random Forests or Decision Trees, SVM, PCA, SVD ... You own projects from start to finish, deploy code, and coordinate work with other teams. You love ...

CyberCoders

Data Scientist

New York, NY

... learning algorithms, such as tree-based models like Random Forests or Decision Trees, SVM, PCA, SVD ... You own projects from start to finish, deploy code, and coordinate work with other teams. You love ...

John Mini

Landscape Construction Crew Member

Manhattan, NY

$17 - $21/hr

As part of the Projects team at John Mini, you will be responsible for: Properly handle plant ... Execute softscape (tree, shrub, perennial, soil) installations. Perform hardscape and masonry work ...

ApTask

ML Software Engineer

Jersey City, NJ

$65 - $75/hr

Experience with machine learning frameworks, libraries, and APIs, such as TensorFlow, PyTorch ... Hands-on knowledge of Chain-of-Thoughts, Tree-of-Thoughts, Graph-of-Thoughts prompting strategies.

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All JobsProject Learning Tree JobsProject Learning Tree Jobs in New York

Project Learning Tree information

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$23

$56

$87

How much do project learning tree jobs pay per hour?

As of Jun 13, 2026, the average hourly pay for project learning tree in New York is $56.24, according to ZipRecruiter salary data. Most workers in this role earn between $44.42 and $66.01 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 New York? For Project Learning Tree jobs in New York, the most frequently searched job titles are:
What job categories do people searching Project Learning Tree jobs in New York look for? The top searched job categories for Project Learning Tree jobs in New York are:
Project Learning Tree jobs near you
Infographic showing various Project Learning Tree job openings in New York as of June 2026, with employment types broken down into 1% Internship, 1% As Needed, 10% Full Time, 82% Part Time, 2% Temporary, and 4% Contract. Highlights an 97% Physical, and 3% Remote job distribution, with an average salary of $116,980 per year, or $56.2 per hour.

Senior Machine Learning Engineer

Orita

New York, NY • On-site, Remote

$180K - $250K/yr

Full-time

Posted 8 days ago

Job description

About Orita
Orita builds AI customer segments for many of the best brands in the world including (deep breath) Spanx, ThirdLove, True Classic, Tracksmith, Harney & Sons, Sun Bum, Ministry of Supply, Thursday Boots, gorjana, and hundreds more.
Orita's algorithms help brands understand who wants to hear from them, when, and through what channel (email, SMS, direct mail today, more coming soon ...). By messaging prospects and customers when they're actually listening, you're able to make a bunch of money.
In a world where acquisition costs are skyrocketing, fixing retention and driving LTV is the key to profitable growth.
The Role
As a Senior Machine Learning Engineer at Orita, you will:
  • Build and Productionize Models: Design, train, and deploy models that directly power our marketing-focused products, primarily for marketing use cases.
  • Develop Scalable ML Infrastructure: Architect and maintain robust, scalable, MLOps pipelines to ensure reliable training, serving, and monitoring of models in production.
  • Experiment & Optimize: Drive continuous improvement using A/B testing, uplift modeling, causal inference, and other advanced experimentation frameworks to validate and refine model performance.
  • Collaborate & Mentor: Work closely with cross-functional teams, including the CEO and CTO, to align on product goals and foster best practices for machine learning and data engineering across the organization.
Ideal Background
Please apply even if you don't meet every requirement. We're looking for a versatile engineer who can learn quickly and own problems end-to-end.
  • Education & Experience
    • 5+ years of full-time software engineering experience, including at least 3 years working on ML systems.
  • ML Expertise:
    • Deep knowledge of modern machine learning algorithms (tree-based methods, deep learning architectures, transformers/LLMs).
    • Hands-on experience with PyTorch, TensorFlow, XGBoost or equivalent frameworks.
    • Feature engineering using aggregations, embeddings, and sub-models.
  • MLOps & Cloud:
    • Track record building production-scale ML infrastructures, ideally using GCP (Vertex AI, KubeFlow, BigQuery, etc.).
    • Familiarity with CI/CD, containerization (Docker/Kubernetes), and distributed training (Spark, Ray, Dask, etc.).
    • Experience iterating models in a production environment is a must.
  • Software Engineering Skills
    • Strong proficiency in Python (numpy, pandas, etc.).
    • Experience with scalable data processing (Spark, Ray, BigQuery).
    • Job orchestration (Airflow)
  • Analytical & Statistical Background
    • Comfortable with advanced experimentation techniques.
    • Understanding of performance measurement in real-world deployments.
  • Soft Skills & Culture
    • Comfortable wearing many hats-data wrangling, model development, deployment, monitoring, and performance optimization. We value ownership of the full lifecycle.
    • Excellent communication-able to explain complex ML concepts to non-technical stakeholders.
    • Self-starter mentality with the ability to own projects from ideation to deployment, picking up and learning new technologies as needed.
Bonus Points
  • Familiarity with marketing technology or ads is a strong plus.
  • Experience with experimental design and methods such as causal inference or uplift modeling.
  • Exposure to modeling with LLMs and modern AI tooling.
  • Productionizing Reinforcement Learning and Bandit algorithms.
  • Ph.D in a technical field
  • Experience in a fast-paced or startup environment.
  • You live in or near New York City. Most of us work in EST.
Why Orita?
  • Impact: Join a lean, agile team shaping the future of ML for leading global brands.
  • Growth: Work directly with industry veterans with strong academic and professional backgrounds.
  • Innovation: Experiment with the latest ML models, from tree-based methods to cutting-edge LLMs.
  • Culture: We value ownership, iteration, and continuous learning-everyone's voice matters.

Orita is an Equal Opportunity Employer and does not discriminate on the basis of an individual's sex, age, race, color, creed, national origin, alienage, religion, marital status, pregnancy, sexual orientation, or affectional preference, gender identity and expression, disability, genetic trait or predisposition, carrier status, citizenship, veteran or military status and other personal characteristics protected by law. All applications will receive consideration for employment without regard to legally protected characteristics.

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