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Python Machine Learning Jobs in New York (NOW HIRING)

... machine learning. Core Responsibilities * Architect Physics Foundation Models: Design and train ... Strong proficiency in manipulating spatial or geometric datasets using Python libraries (NumPy ...

... machine learning (e.g., Python, R, C, C++)1 + year of experience using statistics and probability (e.g., conditional probability, Bayes rule).1 + year of experience working in a large matrixed ...

... machine learning. Core Responsibilities * Architect Physics Foundation Models: Design and train ... Strong proficiency in manipulating spatial or geometric datasets using Python libraries (NumPy ...

RESPONSIBILITIES This role involves developing software and machine learning algorithms for use in ... Python programming language; 2 years of experience building real-time applications utilizing ML ...

Machine Learning Engineer

New York, NY · On-site

$160K - $250K/yr

This role involves developing software and machine learning algorithms for use in human computer ... Python programming language; 2 years of experience building real-time applications utilizing ML ...

Bridge the gap between research and production by building scalable machine learning pipelines and ... Strong background in C++ and Python * Experience deploying ML models in latency-critical ...

They are seeking Machine Learning Engineers to develop their platform for training, evaluating, and ... Python, PyTorch or Jax, and distributed systems. • Experience deploying and maintaining ML ...

They are seeking Machine Learning Engineers to build a platform for training, evaluating, and ... Python, PyTorch or Jax, and distributed systems. • Experience deploying and maintaining ML ...

We are seeking a highly adaptable, creative, and well‑rounded Machine Learning Engineer to join ... Expert‑level proficiency in Python. * Experience with modern deep learning frameworks, such as ...

As a Junior Machine Learning Engineer, the candidate will contribute to building and deploying ML ... Write Python code for data preprocessing, feature engineering, and model evaluation * Help build ...

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Python Machine Learning information

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$14

$64

$94

How much do python machine learning jobs pay per hour?

As of Aug 22, 2026, the average hourly pay for python machine learning in New York is $64.13, according to ZipRecruiter salary data. Most workers in this role earn between $52.88 and $72.84 per hour, depending on experience, location, and employer.

What is a Python machine learning?

A Python Machine Learning job involves developing, training, and deploying machine learning models using Python. Professionals in this role work with libraries like TensorFlow, scikit-learn, and PyTorch to analyze data, build predictive models, and optimize algorithms. Responsibilities often include data preprocessing, feature engineering, model evaluation, and deploying models to production environments. These roles are commonly found in industries like finance, healthcare, and e-commerce, where data-driven decision-making is crucial.

What does a typical workday look like for a Python machine learning professional?

A typical workday for a Python Machine Learning professional often involves tasks like cleaning and pre-processing data, developing and training machine learning models, and evaluating their performance using statistical metrics. You'll collaborate with data engineers, data scientists, and product managers to understand business requirements and integrate models into production environments. Regularly, you'll participate in code reviews, team meetings, and troubleshooting sessions to optimize model performance and address any issues. This dynamic role requires both independent project work and frequent cross-functional collaboration to ensure that solutions meet real-world needs.

What are the key skills and qualifications needed to thrive in the Python machine learning position, and why are they important?

To thrive as a Python Machine Learning professional, you need a strong background in statistics, programming (especially Python), data analysis, and machine learning algorithms, often supported by a degree in computer science, mathematics, or a related field. Proficiency in libraries and frameworks like scikit-learn, TensorFlow, PyTorch, and familiarity with data visualization and version control tools are highly valued, as are relevant certifications such as TensorFlow Developer or AWS Machine Learning. Strong problem-solving ability, effective communication, and teamwork skills are important for collaboration and translating technical findings to non-technical stakeholders. These competencies enable you to design, develop, and deploy robust machine learning models that drive business solutions and innovation.

What are the most commonly searched types of Python Machine Learning jobs in New York?

The most popular types of Python Machine Learning jobs in New York are:

Infographic showing various Python Machine Learning job openings in New York as of August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 23% Part Time, and 1% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $133,398 per year, or $64.1 per hour.

Machine Learning Engineer

Root Access, Inc.

Manhattan, NY • On-site

$140 - $190/hr

Other

Re-posted 13 days ago


Job description

About the company

Root Access is a frontier electronics company. We are a NYC-based startup funded by top investors. Our team is a passionate mix of engineers across electrical, firmware, software, and machine learning.

Core Responsibilities
  • Architect Physics Foundation Models: Design and train deep learning models.

  • Build the ECAD Data Pipeline: Develop high-performance asset pipelines to convert geometric, discrete, and multi-layer PCB files (ODB++, IPC-2581, STEP, Gerber) into continuous space data.

  • Multi-Modal Architecture Integration: Collaborate on connecting upstream Graph Neural Networks (GNNs) or LLMs mapping schematic topologies to downstream spatial physics engines.

  • Optimize for Real-Time Execution: Optimize training and inference pipelines on GPU clusters.

Required Technical Skills & Qualifications
  • Education: Master’s or Ph.D. in Computer Science, Mathematics, EE, Physics, or a related quantitative field with a focus on Scientific Machine Learning (SciML).

  • Deep Learning Frameworks: 4+ years of expert-level experience with PyTorch or JAX.

  • SciML Expertise: Direct, hands‑on experience building and training PINNs, FNOs, etc.

  • Mathematical Depth: Exceptional understanding of partial differential equations (PDEs), vector calculus, automatic differentiation (autograd), and numerical optimization algorithms (Adam, L‑BFGS).

  • Data Pipelines: Strong proficiency in manipulating spatial or geometric datasets using Python libraries (NumPy, SciPy, Shapely, Open3D, or custom voxelization matrices).

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