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Python Machine Learning Jobs in New York (NOW HIRING)

Required : • Development experience in Python or R (C, C++, Java, etc is a plus) • Machine Learning experience • Deep understanding of statistical learning methods • Strong communications and ...

Title - Machine Learning ( F2F interview is required) Location - New York, NY ( Hybrid 2-3 days ... Proficient in Python, Pandas, NumPy, Scikit-Learn, PySpark Bachelor s degree in Computer Science ...

Ability to write robust code in Python, Java and R * Familiarity with machine learning frameworks (like Keras or PyTorch) and libraries (like scikit-learn) * Excellent communication skills * Ability ...

Proficiency in programming languages such as Python and R * Experience with machine learning software libraries such as TensorFlow or PyTorch * Experience implementing Agent or Context engineering is ...

Proficiency in programming languages such as Python and R * Experience with machine learning software libraries such as TensorFlow or PyTorch * Experience implementing Agent or Context engineering is ...

Proficiency in Python and machine learning frameworks such as PyTorch, TensorFlow, or similar technologies. Experience building and managing datasets used for machine learning model development.

Looking for a Machine Learning Engineer with strong python, scala, AWS, Kubernetes & machine learning frameworks. * 80% of model Engineering work & 20% of operations work * Email arbitration with ...

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 ...

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

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Python Machine Learning information

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How much do python machine learning jobs pay per hour?

As of Jul 31, 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 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 is a $900000 AI job?

A $900,000 AI job typically refers to a high-paying position in artificial intelligence or machine learning, often requiring advanced skills in programming, data analysis, and deep learning frameworks. Such roles are usually found in senior or executive levels, involving leadership, research, or specialized technical expertise, and may require relevant certifications or advanced degrees.

What engineer makes $500,000 a year?

Senior machine learning engineers with extensive experience, advanced skills in deep learning and data modeling, and often working in high-demand industries or at large tech companies can earn $500,000 or more annually. Compensation may include base salary, bonuses, and stock options, especially in competitive markets.

Which 3 jobs will survive AI?

For Python machine learning professionals, roles such as data scientists, machine learning engineers, and AI researchers are likely to persist due to their need for complex problem-solving, domain expertise, and ongoing innovation. These jobs require advanced programming skills, understanding of algorithms, and the ability to adapt to new tools and techniques as AI evolves. Continuous learning and staying updated with frameworks like TensorFlow or PyTorch are essential for long-term relevance.

What is a Python Machine Learning job?

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 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 is the salary of machine learning with Python?

The salary for a Python machine learning engineer typically ranges from $80,000 to $150,000 annually, depending on experience, location, and industry. Professionals with strong skills in data analysis, deep learning, and relevant tools like TensorFlow or scikit-learn tend to earn higher salaries.
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 July 2026, with employment types broken down into 1% As Needed, 75% Full Time, 22% Part Time, 1% Temporary, and 1% Contract. Highlights an 90% Physical, 1% Hybrid, and 9% Remote job distribution, with an average salary of $133,398 per year, or $64.1 per hour.

Machine Learning

Strivector Corp

Manhattan, NY • On-site

Full-time

Re-posted 15 days ago


Job description

Job Summary:
Strivector Corp is a National Recruiting and Staffing agency established in 2012 and headquartered in Austin, Texas. They are seeking a Machine Learning professional capable of tackling research problems with commercial applications, applying technical expertise to real-world financial and operational challenges.
Responsibilities:
• We are seeking someone capable of independently tackling research problems that have commercial applications.
• Ideal candidates will be able to apply the technical expertise and research acumen cultivated in their academic careers to real-world financial and operating problems.
• These candidates will have a track record of exceptionally creative, hands-on, high-impact machine learning research and applications, evidenced by publications in competitive venues.
Qualifications:
Required:
• Development experience in Python or R (C, C++, Java, etc is a plus)
• Machine Learning experience
• Deep understanding of statistical learning methods
• Strong communications and organizational skills
• Bachelor's degree required, Ph.D. desired
• 4+ years of applicable research experience
Company:
Strivector is a National Staffing and Recruiting agency that specializes in hiring for Leadership, Information Technology, Veterinary, Engineering, Operations, Sales, Quality, HR, and Finance positions. Founded in 2011, the company is headquartered in Austin, USA, with a team of 51-200 employees. The company is currently Growth Stage.