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Machine Learning Engineer From Home Jobs in New York

ExaCare AI

Machine Learning Engineer

Manhattan, NY · On-site

$110 - $150/hr

We are seeking a highly adaptable, creative, and well‑rounded Machine Learning Engineer to join ... You will own the end‑to‑end ML lifecycle, from dataset creation and foundational research to ...

Namely

Machine Learning Engineer

Manhattan, NY · On-site

$120 - $150/hr

About the role We are seeking a Machine Learning Engineer to strengthen our element classification ... Flexible vacation and work from home days. * Competitive salary and meaningful equity. * Health ...

New

Teleskope

Machine Learning Engineer

New York, NY · On-site

$160K - $210K/yr

About the role We are seeking a Machine Learning Engineer to strengthen our element classification ... Flexible vacation and work from home days. * Competitive salary and meaningful equity. * Health ...

Capital One

Lead Machine Learning Engineer

New York, NY · On-site +1

$112K - $147K/yr

Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of ... Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk ...

Capital One

Lead Machine Learning Engineer

Manhattan, NY · On-site +1

$112K - $148K/yr

Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of ... Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk ...

S&P Global, Inc.

Machine Learning Engineer

Manhattan, NY · On-site

$209 - $250.30/hr

We're the largest global resource for index-based concepts, data and research, and home to iconic ... From finding new ways to measure sustainability to analyzing energy transition across the supply ...

New

Spgi

Machine Learning Engineer

New York, NY · On-site +1

$209K - $250K/yr

We're the largest global resource for index-based concepts, data and research, and home to iconic ... From finding new ways to measure sustainability to analyzing energy transition across the supply ...

Fox

Machine Learning Engineer I

New York, NY · Hybrid

$74K - $130K/yr

ABOUT THE ROLE As a Machine Learning Engineer in FOX Forward Deployed, you will rotate across two ... From sports video intelligence and newsroom AI to ranking, retrieval, and monetization systems, you ...

WireScreen

Machine Learning Engineer

New York, NY · On-site

$150K - $195K/yr

... engineers from Google, Twitter, and Oracle. We launched just three years ago and already have ... As a Machine Learning Engineer at WireScreen, you will be working across our data systems to unlock ...

Capital One

Lead Machine Learning Engineer (IC)

New York, NY · On-site

$112K - $147K/yr

Lead Machine Learning Engineer (IC) As a Capital One Machine Learning Engineer (MLE), you'll be ... Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk ...

New

Capital One

Lead Machine Learning Engineer (IC)

Manhattan, NY · On-site +1

$112K - $148K/yr

Lead Machine Learning Engineer (IC) As a Capital One Machine Learning Engineer (MLE), you'll be ... Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk ...

New

Capital One

Lead Machine Learning Engineer (IC)

New York, NY · On-site +1

$112K - $147K/yr

Lead Machine Learning Engineer (IC) As a Capital One Machine Learning Engineer (MLE), you'll be ... Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk ...

New

Canals

Machine Learning Engineer

New York, NY · Remote

We're looking for a senior-level Machine Learning Engineer who can move quickly while maintaining ... Own projects end-to-end, from problem definition and data exploration to model deployment and ...

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Machine Learning Engineer From Home information

Can a machine learning engineer work from home?

Yes, many machine learning engineers can work from home, especially in roles that involve data analysis, model development, and coding, which can often be performed remotely using cloud platforms and collaboration tools. However, some positions may require on-site presence for meetings, hardware access, or team collaboration, depending on the company's policies and project needs.

Is a machine learning engineer still in demand?

Yes, machine learning engineers are in high demand due to the increasing adoption of AI and data-driven solutions across industries. They are sought after for their skills in programming, data analysis, and deploying models using tools like Python, TensorFlow, and cloud platforms, with job growth expected to continue steadily.

What is the difference between Machine Learning Engineer From Home vs Data Scientist?

AspectMachine Learning Engineer From HomeData Scientist
Required CredentialsBachelor's/Master's in CS, ML, or related; experience with ML frameworksBachelor's/Master's in CS, Statistics, or related; strong analytical skills
Work EnvironmentRemote, flexible hours, often project-basedRemote or on-site, collaborative teams, research-focused
Employer & Industry UsageTech companies, startups, AI firmsTech, finance, healthcare, research institutions
Common Search & ComparisonOften compared for technical skills and remote work optionsCompared for data analysis and modeling expertise

While both roles require strong technical credentials and often involve remote work, Machine Learning Engineers From Home focus on developing and deploying ML models, whereas Data Scientists analyze data to generate insights. The choice depends on whether you prefer building algorithms or interpreting data trends.

What are the most commonly searched types of Machine Learning Engineer jobs in New York? The most popular types of Machine Learning Engineer jobs in New York are:
What are popular job titles related to Machine Learning Engineer From Home jobs in New York? For Machine Learning Engineer From Home jobs in New York, the most frequently searched job titles are:
What job categories do people searching Machine Learning Engineer From Home jobs in New York look for? The top searched job categories for Machine Learning Engineer From Home jobs in New York are:
What cities in New York are hiring for Machine Learning Engineer From Home jobs? Cities in New York with the most Machine Learning Engineer From Home job openings:
Machine Learning Engineer From Home jobs near you

Machine Learning Engineer

ExaCare AI

Manhattan, NY • On-site

$110 - $150/hr

Other

Re-posted 12 days ago

Job description

We are seeking a highly adaptable, creative, and well‑rounded Machine Learning Engineer to join our team. You will own the end‑to‑end ML lifecycle, from dataset creation and foundational research to building and deploying production‑grade models. If you thrive in an environment where you can quickly iterate, experiment with cutting‑edge techniques, and see your work make a tangible impact, this is the role for you.

What You'll Do
  • Novel Solution Development: Research, design, and implement novel machine learning solutions using modern architectures to tackle complex business problems.
  • Rapid Prototyping & Iteration: Build and manage efficient pipelines for rapid experimentation and hypothesis testing.
  • Experiment Tracking: Methodically design, execute, and track all experiments, including hyperparameter searches, architecture changes, and data variations, using tools like MLflow or Weights & Biases.
  • Model Deployment: Deploy models into production environments using CI/CD practices and model serving frameworks.
  • Performance Monitoring: Implement and maintain robust monitoring systems to track model performance, detect drift, and ensure reliability and scalability.
  • Advanced Model Optimization: Apply modern techniques to optimize models for inference speed, memory footprint, and cost. This includes quantization, pruning, and knowledge distillation.
  • Data Lifecycle Management: Lead efforts in dataset creation, augmentation, and curation to build high‑quality, robust training data.
  • Advanced Architectures: Stay current with and apply state‑of‑the‑art techniques, especially relating to Large Language Models (LLMs).
What You'll Bring
  • Proven experience (3+ years) in building, training, and deploying machine learning models in a production environment.
  • Expert‑level proficiency in Python.
  • Experience with modern deep learning frameworks, such as PyTorch.
  • Demonstrable experience with systematic hyperparameter searching and optimization frameworks (e.g., Optuna, Ray Tune).
  • Exceptional organizational skills, with a strong emphasis on reproducible research and methodical experiment tracking.
  • Direct experience with LLMs, including fine‑tuning, prompt engineering, RAG, and efficient inference.
  • Practical experience implementing model optimization techniques like quantization (e.g., bitsandbytes) and pruning.
  • Experience in designing and curating novel datasets from scratch.
  • Bachelor's or Master's degree in Computer Science, AI, Data Science, or a related technical field.
Bonus Points (Preferred Qualifications)
  • Familiarity with advanced model architectures like Transformers and Mixtures of Experts (MoE).
  • Contributions to open‑source ML projects or a portfolio of personal projects demonstrating a passion for the field.
  • Strong, hands‑on understanding of the MLOps lifecycle and associated tools (e.g., Docker, Kubernetes, MLflow, Kubeflow, Prometheus).

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