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Home Based Python Machine Learning Jobs in New York

Machine Learning Engineer

New York, NY · Hybrid

$90.90K - $254.10K/yr

Python * SQL * Cloud Platforms (GCP, AWS, Azure) * Data Warehouses (BigQuery, Snowflake, Redshift ... Excel and Typing Test We offer a competitive salary and benefits based on ability level, including:

Proficiency in PyTorch and modern-transformer based systems * Experience with AWS for scalable ML ... You write reliable Python, know your way around infra basics, and care about performance. * Data ...

Strong programming skills in Python and familiarity with ML frameworks (like TensorFlow or PyTorch ... Knowledge of machine learning techniques and algorithms, including fine tuning processes and ...

... Python and R • Experience with machine learning software libraries such as TensorFlow or PyTorch • Excellent analytical skills, with strong attention to detail • Collaborative mindset with ...

Proficiency in Python and PyTorch * Experience pushing or implementing the cutting-edge in machine ... We use AI-based tools (such as Endorsed.ai and Juicebox.ai) to help us to accelerate candidates at ...

Machine Learning Engineer

New York, NY · On-site +1

$170K - $212K/yr

... based approach. What You'll Do * Contribute to the design, build, evaluation, shipping, and ... Who You Are * You have experience implementing ML systems at scale in Java, Scala, Python or ...

Machine Learning Engineer

New York, NY · On-site +1

$170K - $212K/yr

... based approach. What You'll Do * Contribute to the design, build, evaluation, shipping, and ... Who You Are * You have experience implementing ML systems at scale in Java, Scala, Python or ...

We also have some customer-facing team members based closer to our customer sites (i.e. Bay Area ... Strong programming skills in Python * Expertise in deep learning libraries such as PyTorch ...

All from the comfort of your home. Why Join Our Platform? * Earn incrementally higher pay for each ... Adapts instruction using Python with scikit-learn, Jupyter notebooks, and real-world data sets to ...

All from the comfort of your home. Why Join Our Platform? * Earn incrementally higher pay for each ... Adapts instruction using Python with scikit-learn, Jupyter notebooks, and real-world data sets to ...

All from the comfort of your home. Why Join Our Platform? * Earn incrementally higher pay for each ... Adapts instruction using Python with scikit-learn, Jupyter notebooks, and real-world data sets to ...

All from the comfort of your home. Why Join Our Platform? * Earn incrementally higher pay for each ... Adapts instruction using Python with scikit-learn, Jupyter notebooks, and real-world data sets to ...

All from the comfort of your home. Why Join Our Platform? * Earn incrementally higher pay for each ... Adapts instruction using Python with scikit-learn, Jupyter notebooks, and real-world data sets to ...

All from the comfort of your home. Why Join Our Platform? * Earn incrementally higher pay for each ... Adapts instruction using Python with scikit-learn, Jupyter notebooks, and real-world data sets to ...

All from the comfort of your home. Why Join Our Platform? * Earn incrementally higher pay for each ... Adapts instruction using Python with scikit-learn, Jupyter notebooks, and real-world data sets to ...

All from the comfort of your home. Why Join Our Platform? * Earn incrementally higher pay for each ... Adapts instruction using Python with scikit-learn, Jupyter notebooks, and real-world data sets to ...

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Home Based Python Machine Learning information

What is the difference between Home Based Python Machine Learning vs Data Analyst?

AspectHome Based Python Machine LearningData Analyst
Required CredentialsPython programming, machine learning certifications, data analysis skillsData analysis certifications, SQL, Excel, Python or R knowledge
Work EnvironmentRemote, home-based, often project-focusedRemote or on-site, business or client-focused
Industry UsageTech, finance, healthcare, e-commerceBusiness, marketing, finance, healthcare
Common Search/ComparisonYesYes

Home Based Python Machine Learning and Data Analyst roles share overlapping skills like data handling and analysis tools. However, Python Machine Learning focuses more on developing algorithms and models using Python, while Data Analysts primarily interpret data to generate reports and insights. Both roles are in demand for remote work and require analytical skills, but Python Machine Learning positions often demand more advanced programming and machine learning expertise.

What cities in New York are hiring for Home Based Python Machine Learning jobs? Cities in New York with the most Home Based Python Machine Learning job openings:
Machine Learning Engineer

Machine Learning Engineer

WITHIN

New York, NY • Hybrid

$90.90K - $254.10K/yr

Other

Medical, Dental, Vision, Retirement, PTO

Posted 18 days ago


Job description

About the Role: We are in search of an exceptional Machine Learning Engineer to join our accomplished team. In this role, you will take the lead in developing and fine-tuning predictive ML models, with a primary focus on Ad Score and Ad Account Health. You will play a crucial part in delivering actionable insights and solutions to our clients, and your work will be integral to our mission.

Responsibilities include but are not limited to;

  • ML Model Development: Lead the development and refinement of predictive ML models, particularly Ad Score and Ad Account Health.
  • Data Analysis: Conduct in-depth data analysis to identify trends, patterns, and insights that inform model development and optimization.
  • Feature Engineering: Collaborate with data engineers to create and maintain feature engineering pipelines to support model training.
  • Model Evaluation: Implement rigorous evaluation methodologies to assess model performance, making necessary adjustments for continuous improvement.
  • Deployment and Integration: Work closely with engineering teams to deploy models and integrate them into our products through APIs.
  • Collaboration: Collaborate closely with product managers, full-stack engineers, and TPMs to ensure seamless integration of data science solutions into our products.
  • Research and Innovation: Stay up-to-date with the latest developments in the field of data science and machine learning, and explore innovative approaches to problem-solving.

Requirements

  • Master's or Ph.D. in a related field with a strong academic background.
  • Proven experience as a Data Scientist with a track record of developing and deploying predictive ML models.
  • Expertise in machine learning techniques, including but not limited to regression, classification, clustering, and deep learning.
  • Proficiency in data manipulation, feature engineering, and model evaluation.
  • Strong programming skills in languages such as Python and experience with libraries like TensorFlow, PyTorch, or scikit-learn.
  • Excellent communication skills and the ability to collaborate effectively within cross-functional teams.
  • A passion for continuous learning and staying updated with the latest trends and technologies in data science.
  • Strong problem-solving abilities and the capacity to translate complex data into actionable insights.
Required knowledge of:
  • Python
  • SQL
  • Cloud Platforms (GCP, AWS, Azure)
  • Data Warehouses (BigQuery, Snowflake, Redshift)
  • LLMs / AI APIs
  • Git / GitHub
Nice to have:
  • Data Transformation (dbt)
  • Semantic Layers (Cube, Looker, dbt Metrics)
  • TypeScript
  • Bayesian modeling experience - ideally Marketing Mix Models (PyMC, Stan, or similar..). Understands priors, MCMC sampling, posterior diagnostics.
  • Causal inference / experimentation- geo experiments (matched markets), A/B testing at scale. Familiar with incrementality measurement.
  • Marketing/advertising domain- understanding of attribution, media channels (paid social, search, display, video), campaign structures.
  • Nice to have - familiarity with adstock/saturation curves and budget optimization

Our interview process includes, but is not limited to the following:

  • Excel and Typing Test

We offer a competitive salary and benefits based on ability level, including:

  • Unlimited vacation policy
  • Monthly Phone Stipend
  • Comprehensive Medical, Dental, and Vision insurance options
  • 401(K) plan with matching
  • Dog friendly office
  • Hybrid work opportunity
  • Professional Development Program
  • Bonus Perk - Seamless allowance

Total compensation based on education, experience, and skills level ($90,900-$254,100)

  • Level 1 - Possesses essential capabilities

    • $90,900-$123,540

  • Level 2 - Possesses developing capabilities

    • $123,540-$156,180

  • Level 3 - Possesses notable capabilities.

    • $156,180-$188,820

  • Level 4 - Possesses strong capabilities.

    • $188,820-$221,460

  • Level 5 - Possesses advanced capabilities.

    • $221,460-$254,100