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Remote E Learning Developer Jobs in Whitestone, NY

Zencastr

Senior Machine Learning Engineer (Remote)

New York, NY · On-site +1

$114K - $157K/yr

We are looking for an outstanding machine learning engineer to join our team! The role will provide an opportunity to work on large scale machine learning to improve the podcast creation experience ...

Autodesk

Senior Machine Learning Engineer

New York, NY · On-site +1

$114K - $157K/yr

Position Overview As a Senior Machine Learning Engineer, you will play a key role in designing ... This role is currently open to remote work. Candidates must be located near one of our hub ...

VIATechnik

VDC Manager

Manhattan, NY · Remote

$110K - $130K/yr

... and engineers who have a passion for solving problems and a thirst for learning. We are results ... Remote

VIATechnik

VDC Manager

Manhattan, NY · Remote

$110K - $130K/yr

... and engineers who have a passion for solving problems and a thirst for learning. We are results ... Remote Job Posted by ApplicantPro

Headspace

Staff Machine Learning Engineer

New York, NY · On-site +1

$179K - $224K/yr

... City, NY (remote), and Seattle, WA (remote). Candidates must permanently reside in the US ... Headspace participates in the E-Verify Program. Privacy Statement All member records are protected ...

Gradient Experience

Experiential Designer

Manhattan, NY · On-site +1

We are seeking a talented Experiential Designer to join our remote team. This position offers flexibility to work remotely with a preference for candidates based in New York City. JOB SUMMARY As an ...

Mercor

Machine Learning Engineer

New York, NY · Remote

$70 - $100/hr

Remote Commitment: 40 hours/week Role Responsibilities * Guide research and engineering teams to ... Learning , Data Science , Software Engineering , Computer Science , Statistics , Biology ...

Headspace

Principal Machine Learning Engineer

New York, NY · On-site +1

$207K - $258K/yr

... City, NY (remote), and Seattle, WA (remote). Candidates must permanently reside in the US ... Headspace participates in the E-Verify Program. Privacy Statement All member records are protected ...

C the Signs

AI Data Engineer

New York, NY · On-site +1

$125K - $150K/yr

... e.g., FHIR, HL7). * Familiarity with machine learning concepts and LLM fine-tuning processes ... Flexible working arrangements (remote or hybrid options available). * The opportunity to work on ...

Autodesk

Senior Machine Learning Test Engineer

New York, NY · On-site +1

$120K - $157K/yr

You are a quality-focused developer who is passionate about reliable, repeatable evaluation of ML ... Automate ML QA workflows using Python and CI/CD (e.g., GitHub Actions, Jenkins) * Create and ...

C the Signs

AI Data Engineer

New York, NY · Remote

$117K - $140K/yr

... e.g., FHIR, HL7). * Familiarity with machine learning concepts and LLM fine-tuning processes ... Flexible working arrangements (remote or hybrid options available). * The opportunity to work on ...

Adidev Technologies Inc

AI/ML Developer

Manhattan, NY · Remote

Adidev is looking for an adept Machine Learning Engineer to take the helm in deploying advanced ... Support, even from afar, with our remote assistance. Regular salary reviews? You betcha! Ready to ...

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All JobsRemote E Learning Developer JobsRemote E Learning Developer Jobs in Whitestone, NY

Remote E Learning Developer information

See Whitestone, NY salary details

$11.5K

$87.4K

$145.9K

How much do remote e learning developer jobs pay per year?

As of Jun 26, 2026, the average yearly pay for remote e learning developer in Whitestone, NY is $87,433.00, according to ZipRecruiter salary data. Most workers in this role earn between $75,000.00 and $144,900.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Remote E Learning Developer position, and why are they important?

To thrive as a Remote E Learning Developer, you need expertise in instructional design, multimedia content creation, and strong digital literacy, often backed by a degree in education or a related field. Familiarity with Learning Management Systems (LMS) like Moodle or Canvas, authoring tools such as Articulate Storyline or Adobe Captivate, and relevant certifications (e.g., ATD) are highly valued. Excellent communication, time management, and self-motivation are critical soft skills for remote collaboration and project deadlines. These abilities ensure high-quality, engaging learning experiences and effective teamwork in a virtual environment.

What are some typical daily responsibilities for a Remote E Learning Developer?

As a Remote E Learning Developer, your typical day might include designing engaging online course modules, developing interactive multimedia content, and collaborating virtually with subject matter experts to ensure accuracy and effectiveness. You will often upload and manage course materials in learning management systems, troubleshoot user issues, and gather learner feedback to continuously improve content. Regular virtual meetings and check-ins with instructional designers, project managers, and other team members are common to track progress and maintain cohesive learning experiences. This remote role combines both independent task management and teamwork, making strong communication and organizational skills essential.

What is a Remote E Learning Developer job?

A Remote E Learning Developer designs, develops, and implements online educational content, such as courses, tutorials, and interactive learning materials. They use e-learning authoring tools, multimedia, and instructional design principles to create engaging training experiences. Working remotely, they collaborate with educators, subject matter experts, and organizations to tailor content for learners. Their role may also include troubleshooting technical issues, ensuring accessibility, and optimizing courses for different platforms.

What cities near Whitestone, NY are hiring for Remote E Learning Developer jobs? Cities near Whitestone, NY with the most Remote E Learning Developer job openings:
Remote E Learning Developer jobs near you
Infographic showing various Remote E Learning Developer job openings in Whitestone, NY as of June 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution, with an average salary of $87,433 per year, or $42 per hour.
Machine Learning Engineer / Data Scientist

Machine Learning Engineer / Data Scientist

Fusemachines

New York, NY • On-site, Remote

$100K - $120K/yr

Full-time

Posted 17 hours ago

Job description

About Fusemachines
Founded in 2013, Fusemachines is a global provider of enterprise AI products and services, on a mission to democratize AI. Leveraging proprietary AI Studio and AI Engines, the company helps drive the clients' AI Enterprise Transformation, regardless of where they are in their Digital AI journeys. With offices in North America, Asia, and Latin America, Fusemachines provides a suite of enterprise AI offerings and specialty services that allow organizations of any size to implement and scale AI. Fusemachines serves companies in industries such as retail, manufacturing, and government.
Fusemachines continues to actively pursue the mission of democratizing AI for the masses by providing high-quality AI education in underserved communities and helping organizations achieve their full potential with AI.
Type: Full-time, RemoteRole Overview
We're hiring a mid-to-senior Machine Learning Engineer / Data Scientist to build and deploy machine learning solutions that drive measurable business impact. You'll work across the ML lifecycle-from problem framing and data exploration to model development, evaluation, deployment, and monitoring-often in partnership with client stakeholders and internal delivery teams.
You should be strong in core data science and applied machine learning, comfortable working with real-world data, and capable of turning modeling work into production-ready systems.Key Responsibilities
  • Problem Framing & Stakeholder Partnership
    • Translate business questions into ML problem statements (classification, regression, time series forecasting, clustering, anomaly detection, recommendation, etc.).
    • Collaborate with stakeholders to define success metrics, evaluation plans, and practical constraints (latency, interpretability, cost, data availability).
  • Data Analysis & Feature Engineering
    • Use SQL and Python to extract, join, and analyze data from relational databases and data warehouses.
    • Perform data profiling, missingness analysis, leakage checks, and exploratory analysis to guide modeling choices.
    • Build robust feature pipelines (aggregation, encoding, scaling, embeddings where appropriate) and document assumptions.
  • Model Development (Core ML)
    • Train and tune supervised learning models for tabular data (e.g., logistic/linear models, tree-based methods, gradient boosting such as XGBoost/LightGBM/CatBoost, and neural nets for structured data).
    • Apply strong tabular modeling practices: handling missing data, categorical encoding, leakage prevention, class imbalance strategies, calibration, and robust cross-validation.
    • Build time series models (statistical and ML/DL approaches) and validate with proper backtesting.
    • Apply clustering and segmentation techniques (k-means, hierarchical, DBSCAN, Gaussian mixtures) and evaluate stability and usefulness.
    • Apply statistics in practice (hypothesis testing, confidence intervals, sampling, experiment design) to support inference and decision-making.
  • Deep Learning
    • Build and train deep learning models using PyTorch or TensorFlow/Keras.
    • Use best practices for training (regularization, calibration, class imbalance handling, reproducibility, sound train/val/test design).
  • Evaluation, Explainability, and Iteration
    • Choose appropriate metrics (AUC/F1/PR, RMSE/MAE/MAPE, calibration, lift, and business KPIs) and create evaluation reports.
    • Perform error analysis and interpretation (feature importance/SHAP, cohort slicing) and iterate based on evidence.
  • Productionization & MLOps (Project-Dependent)
    • Package models for deployment (batch scoring pipelines or real-time APIs) and collaborate with engineers on integration.
    • Implement practical MLOps: versioning, reproducible training, automated evaluation, monitoring for drift/performance, and retraining plans.
  • Documentation & Communication
    • Communicate tradeoffs and recommendations clearly to technical and non-technical stakeholders.
    • Create documentation and lightweight demos that make results actionable.
Success in This Role Looks Like
  • You deliver models that perform well and move business metrics (revenue lift, cost reduction, risk reduction, improved forecast accuracy, operational efficiency).
  • Your work is reproducible and production-aware: clear data lineage, robust evaluation, and a credible path to deployment/monitoring.
  • Stakeholders trust your judgment in selecting methods and communicating uncertainty honestly.
Required Qualifications
  • 3-8 years of experience in data science, machine learning engineering, or applied ML (mid-to-senior).
  • Strong Python skills for data analysis and modeling (pandas/numpy/scikit-learn or equivalent).
  • Strong SQL skills (joins, window functions, aggregation, performance awareness).
  • Solid foundation in statistics (hypothesis testing, uncertainty, bias/variance, sampling) and practical experimentation mindset.
  • Hands-on experience across multiple model types, including:
    • Classification & regression
    • Time series forecasting
    • Clustering/segmentation
  • Experience with deep learning in PyTorch or TensorFlow/Keras.
  • Strong problem-solving skills: ability to work with ambiguous goals and messy data.
  • Clear communication skills and ability to translate analysis into decisions.
Preferred Qualifications
  • Experience with Databricks for applied ML (e.g., Spark, Delta Lake, MLflow, Databricks Jobs/Workflows).
  • Experience deploying models to production (APIs, batch pipelines) and maintaining them over time (monitoring, retraining).
  • Experience with orchestration tools (Airflow, Prefect, Dagster) and modern data stacks (Snowflake/BigQuery/Redshift/Databricks).
  • Experience with cloud platforms (AWS/GCP/Azure/IBM) and containerization (Docker).
  • Experience with responsible AI and governance best practices (privacy/PII handling, auditability, access controls).
  • Consulting or client-facing delivery experience.

Certifications (Strong Plus)
Candidates with at least one relevant certification are especially encouraged to apply:
  • Cloud certifications: AWS, Google Cloud, Microsoft Azure, or IBM (data/AI/ML tracks)
  • Databricks certifications (Data Scientist, Data Engineer, or related)
Nice-to-Have
  • Causal inference experience (e.g., quasi-experimental methods, propensity scores, uplift/heterogeneous treatment effects, experimentation beyond A/B tests).
  • Agentic development experience: designing and evaluating agentic workflows (tool use, planning, memory/state, guardrails) and integrating them into products.
  • Deep familiarity with agentic coding tools and workflows for accelerated product development (e.g., AI-assisted IDEs, code agents, automated testing/refactoring, repo-aware assistants), including strong judgment on quality, security, and maintainability.

Fusemachines is an Equal Opportunities Employer, committed to diversity and inclusion. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or any other characteristic protected by applicable federal, state, or local laws.
Important: Immigration Sponsorship Policy
Fusemachines is unable to proceed with candidates who require any form of work authorization or immigration support from the company. This restriction applies to all types of support, including:
  • Direct Company Sponsorship: Such as H-1B, J-1, or TN visas.
  • Employer of Record: Listing Fusemachines as the immigration employer on any government documentation.
  • Written Documentation: Providing letters or other support for any work authorization (e.g., OPT, STEM OPT, CPT).

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