Numpy Job Salaries

Find salary information for remote positions requiring Numpy skills. Make data-driven decisions about your career path.

Numpy

Median high-range salary for jobs requiring Numpy:

$225,000

This analysis is based on salary ranges collected from 47 job descriptions that match the search and allow working remotely. Choose a country to narrow down the search and view statistics exclusively for remote jobs available in that location.

The Median Salary Range is $169,000 - $225,000

25% of job descriptions advertised a maximum salary above $250,000.
5% of job descriptions advertised a maximum salary above $310,997.35.

Skills and Salary

Specific skills can have a substantial impact on salary ranges for jobs that align with these search preferences. Certain in-demand skills are highly valued by employers and can significantly boost compensation. These skills often reflect the unique requirements and challenges faced by professionals in these roles. Some of the most sought-after skills that correlate with higher salaries include Tensorflow, PyTorch and Data Analysis. Mastering these skills can demonstrate expertise and make individuals more competitive in the job market. Employers often prioritize candidates who possess these skills, as they can contribute directly to the organization's success. The ability to effectively utilize these skills can lead to increased earning potential and career advancement opportunities.

Tensorflow
47% jobs mention Tensorflow as a required skill. The Median Salary Range for these jobs is $178,654.5 - $250,000
- 25% of job descriptions advertised a maximum salary above $267,100.
- 5% of job descriptions advertised a maximum salary above $378,305.8.
PyTorch
40% jobs mention PyTorch as a required skill. The Median Salary Range for these jobs is $180,000 - $250,000
- 25% of job descriptions advertised a maximum salary above $276,775.
- 5% of job descriptions advertised a maximum salary above $405,930.4.
Data Analysis
51% jobs mention Data Analysis as a required skill. The Median Salary Range for these jobs is $169,500 - $245,000
- 25% of job descriptions advertised a maximum salary above $272,550.
- 5% of job descriptions advertised a maximum salary above $356,828.4.
Algorithms
66% jobs mention Algorithms as a required skill. The Median Salary Range for these jobs is $175,000 - $240,000
- 25% of job descriptions advertised a maximum salary above $250,000.
- 5% of job descriptions advertised a maximum salary above $309,971.45.
Machine Learning
85% jobs mention Machine Learning as a required skill. The Median Salary Range for these jobs is $175,050 - $231,494
- 25% of job descriptions advertised a maximum salary above $250,000.
- 5% of job descriptions advertised a maximum salary above $312,645.5.
Data science
45% jobs mention Data science as a required skill. The Median Salary Range for these jobs is $170,000 - $230,000
- 25% of job descriptions advertised a maximum salary above $250,000.
- 5% of job descriptions advertised a maximum salary above $289,655.
Python
100% jobs mention Python as a required skill. The Median Salary Range for these jobs is $169,000 - $225,000
- 25% of job descriptions advertised a maximum salary above $250,000.
- 5% of job descriptions advertised a maximum salary above $310,997.35.
SQL
55% jobs mention SQL as a required skill. The Median Salary Range for these jobs is $169,000 - $220,642.5
- 25% of job descriptions advertised a maximum salary above $267,100.
- 5% of job descriptions advertised a maximum salary above $348,065.6.
Pandas
74% jobs mention Pandas as a required skill. The Median Salary Range for these jobs is $163,000 - $215,000
- 25% of job descriptions advertised a maximum salary above $250,000.
- 5% of job descriptions advertised a maximum salary above $302,925.

Industries and Salary

Industry plays a crucial role in determining salary ranges for jobs that align with these search preferences. Certain industries offer significantly higher compensation packages compared to others. Some in-demand industries known for their competitive salaries in these roles include Finance, AI, Computer Vision, Machine Learning and Artificial Intelligence. These industries often have a strong demand for skilled professionals and are willing to invest in talent to meet their growth objectives. Factors such as industry size, profitability, and market trends can influence salary levels within these sectors. It's important to consider industry-specific factors when evaluating potential career paths and salary expectations.

Finance
4% jobs are in Finance industry. The Median Salary Range for these jobs is $150,000 - $300,000
AI, Computer Vision, Machine Learning
2% jobs are in AI, Computer Vision, Machine Learning industry. The Median Salary Range for these jobs is $185,000 - $300,000
Artificial Intelligence
4% jobs are in Artificial Intelligence industry. The Median Salary Range for these jobs is $180,000 - $250,000
3D technology, Mixed-reality experiences
2% jobs are in 3D technology, Mixed-reality experiences industry. The Median Salary Range for these jobs is $180,000 - $250,000
Software Development
28% jobs are in Software Development industry. The Median Salary Range for these jobs is $178,689 - $244,200
- 25% of job descriptions advertised a maximum salary above $285,975.
- 5% of job descriptions advertised a maximum salary above $454,822.45.
AI, Navigation
2% jobs are in AI, Navigation industry. The Median Salary Range for these jobs is $154,000 - $216,000
AI and Quantum technology
2% jobs are in AI and Quantum technology industry. The Median Salary Range for these jobs is $133,000 - $210,000
Cybersecurity
4% jobs are in Cybersecurity industry. The Median Salary Range for these jobs is $161,500 - $202,500
- 25% of job descriptions advertised a maximum salary above $215,000.
Healthcare
6% jobs are in Healthcare industry. The Median Salary Range for these jobs is $160,000 - $200,000
- 25% of job descriptions advertised a maximum salary above $222,500.
- 5% of job descriptions advertised a maximum salary above $230,000.
AI for transportation
2% jobs are in AI for transportation industry. The Median Salary Range for these jobs is $123,500 - $197,600

Disclaimer: This analysis is based on salary ranges advertised in job descriptions found on Remoote.app. While it provides valuable insights into potential compensation, it's important to understand that advertised salary ranges may not always reflect the actual salaries paid to employees. Furthermore, not all companies disclose salary ranges, which can impact the accuracy of this analysis. Several factors can influence the final compensation package, including:

Negotiation: Salary ranges often serve as a starting point for negotiation. Your experience, skills, and qualifications can influence the final offer you receive.
Benefits: Salaries are just one component of total compensation. Some companies may offer competitive benefits packages that include health insurance, paid time off, retirement plans, and other perks. The value of these benefits can significantly affect your overall compensation.
Cost of Living: The cost of living in a particular location can impact salary expectations. Some areas may require higher salaries to maintain a similar standard of living compared to others.

Jobs

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🔥 Sr. Machine Learning Researcher

Posted about 5 hours ago

📍 United States

🧭 Full-Time

💸 175000.0 - 230000.0 USD per year

🔍 Healthcare

🏢 Company: AKASA

🔧 Requirements

Proven experience training and fine-tuning large language models, with expertise in model architecture, optimization techniques, and performance evaluation.
Experience with modeling in the healthcare domain, clinical natural language understanding, and healthcare data and data standards (e.g., EDI, FHIR) is strongly preferred.
Ph.D. or equivalent industry experience in fields related to machine learning, natural language processing, computer vision, computer science, electrical engineering, statistics, mathematics, optimization, or data science, plus 2-3 years of experience.
Strong programming skills in Python, with proficiency in deep learning frameworks and tools such as PyTorch, TensorFlow, PyTorch Lightning, Hugging Face Transformers, and Kubernetes/Kubeflow, as well as experience with cloud platforms (AWS, GCP) and multi-GPU environments.
A track record of translating research into real-world applications, with experience in rapid prototyping, experimentation, and writing production-ready code.

💡 Responsibilities

Drive Applied Research: Lead the design, training, and evaluation of large language models to solve healthcare-specific challenges, advancing the state of the art in clinical Natural Language Understanding.
Leverage Human-in-the-Loop Feedback: Work closely with cross-functional teams to integrate Human-in-the-Loop data, using it to guide model improvements and explore new methods for optimizing performance.
Collaborate Across Teams: Partner with healthcare experts and other stakeholders to integrate qualitative insights, ensuring models align with real-world needs and deliver meaningful results.
Stay on the Cutting Edge: Regularly evaluate advancements in ML to determine their relevance to our work, maintaining AKASA’s leading edge in responsible, high-impact healthcare AI.
Contribute to Broader Impact: Publish and share research findings in the broader AI community, helping to advance healthcare applications of AI through peer-reviewed publications.

AWS Python Cloud Computing GCP Kubeflow Kubernetes Machine Learning Numpy PyTorch Algorithms Data science Data Structures REST API Tensorflow

Posted about 5 hours ago

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🔥 Cloud Data Engineer (Mid-Level) - (25031301)

Posted about 5 hours ago

📍 United States

🧭 Contract

💸 91520.0 - 120000.0 USD per year

🏢 Company: Third Eye Software👥 11-50 Consulting Information Technology Recruiting Software

🔧 Requirements

3+ years of experience in data engineering
Advanced expertise in SQL
Experience with Google Cloud Platform (GCP)
Hands-on experience with ETL/ELT processes and data pipeline development
Proficiency in Python

💡 Responsibilities

NOT STATED

Python SQL ETL GCP Jenkins Numpy Data engineering Pandas

Posted about 5 hours ago

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🔥 Senior Cloud Engineer, ML Platform

Posted about 16 hours ago

📍 United States

🧭 Full-Time

💸 160000.0 - 200000.0 USD per year

🔍 Software Development

🏢 Company: GameChanger

🔧 Requirements

4+ years of hands-on cloud engineering experience with a focus on scaling ML/AI infrastructure in high-throughput, real-time environments.
Proficiency in Infrastructure-as-Code (Terraform, CloudFormation, or equivalent) to automate cloud infrastructure for ML systems.
Deep knowledge of AWS services, patterns and best practices for resiliency, scalability, and security.
Hands-on experience with container orchestration (e.g., Kubernetes, ECS) with a focus on solving real-world scalability challenges.

💡 Responsibilities

Architect and scale cloud-based infrastructure purpose-built for real-time and batch ML workloads, ensuring system efficiency and reliability.
Design model-serving infrastructure to handle high-throughput inference workloads, model versioning, and multi-model interactions.
Design observability strategies, ensuring model performance, system reliability, and infrastructure health are continuously monitored.
Collaborate with ML/DevOps/Backend/Security Engineers on projects, integrating new tools, improving deployment speeds, scalability, and resiliency to support their evolving roadmaps.

AWS Docker Python Apache Airflow Cloud Computing Git Keras Kubernetes Machine Learning MLFlow Numpy Algorithms API testing Data engineering Data Structures REST API Serverless Pandas Spark Tensorflow CI/CD Linux Terraform Microservices JSON

Posted about 16 hours ago

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🔥 Senior Data Scientist (NLP)

Posted 1 day ago

📍 Poland

🧭 Full-Time

💸 26000.0 - 35000.0 PLN per month

🔍 EdTech

🏢 Company: Brainly👥 251-500💰 $80,000,000 Series D about 4 years ago🫂 Last layoff over 2 years agoEducation EdTech Communities E-Learning Apps Social Network Peer to Peer Software

🔧 Requirements

Advanced degree (Engineering, Master's or Ph.D.) in Computer Science, Mathematics, Statistics, or a related quantitative field with a strong focus on Machine Learning and/or Natural Language Processing.
5+ years of experience as a Data Scientist or Machine Learning Engineer, with a demonstrable focus on NLP and/or mathematical problem-solving.
Experience with cloud platforms such as AWS and/or Google Cloud Platform.
Proficiency in Python and relevant libraries (e.g., PyTorch, TensorFlow, Langchain).
Deep understanding of machine learning algorithms, particularly in NLP and their application to complex reasoning tasks.
Strong mathematical foundation and analytical skills.
Excellent research and experimentation skills, including design, execution, and analysis.
Strong communication and collaboration skills, with the ability to explain complex technical concepts to diverse audiences.
Fluency in English.

💡 Responsibilities

Investigate, implement, and evaluate novel techniques for math problem understanding, reasoning, and solution generation using Large Language Models and other relevant AI approaches.
Design, execute, and analyze experiments to develop and refine machine learning models for math question answering, ensuring rigorous experimentation processes and statistically sound conclusions.
Explore and analyze large datasets of math questions, solutions, and student interactions to identify patterns, improve model performance, and discover opportunities for enhancing our math knowledge base.
Work closely with Senior Machine Learning Engineers to integrate developed models and algorithms into the production math answering system, ensuring scalability, reliability, and performance.
Actively contribute to the definition of the Q&A Knowledge Base ML team roadmap, identifying key deliverables and strategic directions for improving Brainly's math capabilities.
Effectively communicate research findings, model performance, and project progress to technical and non-technical stakeholders across the company.
Champion and ensure adherence to high standards of statistical and scientific rigor within the team's research and development processes.
Stay up-to-date with the latest advancements in LLMs, mathematical AI, and relevant technologies, and evaluate their potential application to Brainly's math answering challenges.

AWS Python Cloud Computing Data Analysis Machine Learning Numpy PyTorch Algorithms Data science Tensorflow Communication Skills Analytical Skills Problem-solving skills Research Fluency in English

Posted 1 day ago

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🔥 Staff Machine Learning Engineer

Posted 3 days ago

🧭 Full-Time

💸 185000.0 - 315000.0 USD per year

🔍 Financial Operations

🏢 Company: Ramp👥 501-1000💰 $150,000,000 Series D 11 months agoFinancial Services Finance FinTech

🔧 Requirements

Bachelor’s degree or above in Math, Economics, Bioinformatics, Statistics, Engineering, Computer Science, or other quantitative fields with a minimum of 5 years of industry experience as a Machine Learning Engineer, Applied Scientist or Data Scientist
Strong python experience (numpy, pandas, sklearn, pytorch etc.) across ML techniques and back end engineering
Prior experience deploying Machine Learning models to production and making meaningful contribution to backend systems
Strong knowledge of SQL (preferably Snowflake, BigQuery)
Ability to thrive in a fast-paced, constantly improving, start-up environment that focuses on solving problems with iterative technical solutions

💡 Responsibilities

Employ statistical and machine learning on large datasets to discover patterns of account takeovers and identity theft
Prototype and productionalize machine learning models and rules-based systems to protect user accounts
Partner closely with Identity Engineering and Data Platform teams to augment and leverage data across first and third party sources, ensuring we’ve added as much context as possible to every decision we make
Contribute to the culture of Ramp’s machine learning team by influencing processes, tools, and systems that will allow us to make better decisions in a scalable way

Backend Development Python SQL Machine Learning Numpy PyTorch Snowflake Data engineering Pandas Data modeling Software Engineering

Posted 3 days ago

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🔥 Backend Data Developer - Scraping & Conversión de Java a Python

Posted 3 days ago

📍 Argentina, Colombia, Peru, Bolivia, Plurinational State of, Mexico

🧭 Contract

💸 2300.0 - 2500.0 USD per month

🔍 Software Development

🏢 Company: Workana

🔧 Requirements

Experience with Selenium, Puppeteer or Playwright.
Experience with Java (Spring Boot, Jsoup, HttpClient) and Python (Scrapy, Selenium, Playwright, FastAPI).
Experience with pandas and NumPy.
Knowledge in SQL databases (PostgreSQL, MySQL, SQL Server).
Implementation of scrapers in scalable environments with Docker and Kubernetes.
Deployment in AWS or GCP.

💡 Responsibilities

Development and maintenance of scrapers for extracting data from web portals.
Refactorization and optimization of legacy scrapers in Java towards Python.
Implementation of more efficient architectures to improve performance.

AWS Backend Development Docker GraphQL PostgreSQL Python SQL Apache Airflow ETL GCP Java Java EE Kubernetes MySQL Numpy Spring Boot Data engineering FastAPI REST API Pandas Selenium CI/CD Microservices JSON Data management

Posted 3 days ago

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🔥 Staff Machine Learning Engineer, Inclusive AI

Posted 4 days ago

📍 United States

💸 233302.0 - 480328.0 USD per year

🔍 Software Development

🔧 Requirements

Experienced Engineer with production experience in ML and responsible technology (fairness, diversity, equity) deployments in production systems.
Familiarity with state of the art ML approaches, especially within the Search and RecSys space, such as transformer based architectures, n-tower architectures, LLMs, etc.
Hands-on experience building, deploying, and measuring ML Fairness at a very large scale. Successful candidates in this role need to be able to bridge state of the art approaches to real world impact.
Some experience in leadership roles where the candidate has been able to define a vision, strategy and plans, with concrete OKRs and execute on them to deliver solutions in production that have a positive impact for users.
8+ years working experience in the engineering teams that build large-scale ML-driven user-facing products.
3+ years experience leading cross-team engineering efforts.
MS/PhD in Computer Science, ML, NLP, Statistics, Information Sciences, related field, or equivalent experience.
Experience in working on backend and ML systems for large-scale user-facing products, and have a good understanding of how they all work.
Experience in closely collaborating with other engineering teams to ship ML technologies to improve fairness and reduce bias for recommendation, content understanding, and ranking systems at scale.

💡 Responsibilities

Lead projects in the responsible AI frontier, to identify, avoid, and mitigate bias across a wide range of ML applications at Pinterest including generative AI.
Collaborate with other engineering teams (infra. user modeling, content understanding) to leverage their platforms and signals and work with them to collaborate on the adoption and evaluation of Inclusive AI and ML Fairness tooling across Pinterest.
Mentor junior engineers on the Inclusive AI team and across the company on the Inclusive AI / ML Fairness space.
Work with the team and senior leaders at the company to define and drive technical strategy in this area.

AWS Backend Development Leadership Python Software Development SQL Artificial Intelligence Cloud Computing Data Analysis Image Processing Keras Machine Learning MLFlow Numpy PyTorch Cross-functional Team Leadership Algorithms Data Structures REST API Tensorflow Mentoring

Posted 4 days ago

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🔥 Senior Data Scientist

Posted 4 days ago

📍 Worldwide

💸 90000.0 - 160000.0 USD per year

🔍 Software Development

🏢 Company: Automattic Careers

🔧 Requirements

5+ years of experience in data science, analytics, or a related role within a tech company, preferably SaaS, working with large-scale, complex, product-focused data sets to drive measurable business impact.
Strong expertise in experimentation, statistical analysis (e.g., hypothesis testing, t-tests, regression analysis, time series analysis, bootstrapping), machine learning, and predictive modeling.
Proficiency in Python and key data science libraries, including Pandas, NumPy, Scikit-learn, Matplotlib, and Seaborn.
Fluency using distributed SQL query engines like Hive, Presto, or Trino.
Familiarity with big data technologies (e.g., Hadoop, Spark).

💡 Responsibilities

Employ technical expertise in quantitative analysis, advanced statistics, experimentation, and data mining to develop data-driven strategies for products that democratize publishing and commerce.
Proactively identify, define, and test opportunities and levers to enhance the product, ensuring data-driven decision-making that drives measurable business and customer impact. Translate insights into actionable recommendations that influence roadmaps and strategic investments.
Contribute to the development and implementation of advanced data analysis techniques and statistical models across multiple business units.
Design and drive company-wide data initiatives, shaping the direction of data analytics and insights to support strategic decisions.
Mentor and guide data scientists and analysts.
Partner with Growth, Product, Engineering, Design, and senior leadership to inform, influence, and execute product and growth strategies, leveraging key insights to drive measurable, company-wide impact.
Communicate complex strategic insights and recommendations to non-technical stakeholders, facilitating data-driven decision-making at the highest levels of the company.

Python SQL Data Mining Hadoop Machine Learning Numpy Data science Pandas Spark Data visualization Data modeling A/B testing

Posted 4 days ago

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🔥 Graduate PhD Summer Intern – AI/ML Software Developer

Posted 7 days ago

📍 United States of America

🧭 Internship

💸 50200.0 - 80300.0 USD per year

🔍 Software Development

🏢 Company: NREL

🔧 Requirements

Only current PhD students will be considered for this internship.
Experience in deep learning models, Bayesian neural networks, graph neural network models, and probabilistic semantic graphs.
Experience in the formulation of mixed-integer optimization problems and open-source solvers for sensor placement in distribution systems.
Demonstrated experience in programming languages such as Python and MATLAB.
Experience with open-source, collaborative software development and use of tools such as GitHub or GitLab for project management and version control.

💡 Responsibilities

Develop sensor placement and optimization software tools for modern distribution power systems integrated with clean energy resources such as Photovoltaics, batteries, EV Charging Stations, and electric vehicles.
Contribute to the development of deep learning models such as Bayesian neural networks, graph neural networks, probabilistic semantic graphs, and Generative AI to detect anomalies such as missing data, bad data, and communications failure in sensor data.
Development of data driven forecasting and disaggregation models and validation of both centralized and distributed state estimation algorithms.

Python Git Machine Learning Matlab Numpy Tensorflow

Posted 7 days ago

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🔥 Senior Signal Processing Engineer - AQNav

Posted 9 days ago

📍 USA

🧭 Full-Time

💸 154000.0 - 216000.0 USD per year

🔍 AI, Navigation

🏢 Company: SandboxAQ👥 101-250💰 $25,000,000 Grant 5 months agoArtificial Intelligence (AI)SaaS Information Technology Cyber Security

🔧 Requirements

5+ years software development in a rapidly scaling startup or research setting
Strong foundation in signal processing concepts, including Fourier analysis, filtering, modulation, and spectral estimation
Strong foundation in Python, with experience in numerical/scientific Python (e.g. NumPy, SciPy, etc)
Hand-on experience with time-series data analysis and sensor data processing
Experience with machine learning techniques for signal processing applications
Problem-solving skills and ability to work independently or collaboratively
Ability to thrive in ambiguous situations
U.S. Citizenship is required due to USG contract requirements

💡 Responsibilities

Develop and implement advanced algorithms for signal denoising, noise reduction, and feature extraction from time series data
Collaborate with multidisciplinary teams to apply signal processing techniques to real-world sensor data problems
Conduct experiments and simulations to evaluate and optimize the performance of denoising algorithms
Explore and integrate machine learning methods to enhance signal processing techniques and achieve better noise reduction
Collaborate with multidisciplinary teams to integrate learnings into broader system architectures
Contribute to the development of technical documentation, including specifications, design documents, and test plans

Python Data Analysis Embedded Systems Machine Learning Numpy Algorithms

Posted 9 days ago

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Shown 10 out of 63

Numpy Job Salaries

Median high-range salary for jobs requiring Numpy:

Skills and Salary

Tensorflow

PyTorch

Data Analysis

Algorithms

Machine Learning

Data science

Python

SQL

Pandas

Industries and Salary

Finance

AI, Computer Vision, Machine Learning

Artificial Intelligence

3D technology, Mixed-reality experiences

Software Development

AI, Navigation

AI and Quantum technology

Cybersecurity

Healthcare

AI for transportation

Jobs