PyTorch Job Salaries

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

PyTorch

Median high-range salary for jobs requiring PyTorch:

$228,800

This analysis is based on salary ranges collected from 88 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 $173,141 - $228,800

25% of job descriptions advertised a maximum salary above $277,500.
5% of job descriptions advertised a maximum salary above $370,110.

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 Data Structures, Algorithms 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.

Data Structures
23% jobs mention Data Structures as a required skill. The Median Salary Range for these jobs is $178,654.5 - $258,250
- 25% of job descriptions advertised a maximum salary above $316,145.5.
- 5% of job descriptions advertised a maximum salary above $700,164.
Algorithms
42% jobs mention Algorithms as a required skill. The Median Salary Range for these jobs is $176,924 - $250,000
- 25% of job descriptions advertised a maximum salary above $302,940.25.
- 5% of job descriptions advertised a maximum salary above $457,533.2.
Data Analysis
23% jobs mention Data Analysis as a required skill. The Median Salary Range for these jobs is $168,500 - $250,000
- 25% of job descriptions advertised a maximum salary above $284,500.
- 5% of job descriptions advertised a maximum salary above $447,764.
AWS
40% jobs mention AWS as a required skill. The Median Salary Range for these jobs is $175,000 - $245,000
- 25% of job descriptions advertised a maximum salary above $300,000.
- 5% of job descriptions advertised a maximum salary above $464,046.
Machine Learning
95% jobs mention Machine Learning as a required skill. The Median Salary Range for these jobs is $173,141 - $231,650
- 25% of job descriptions advertised a maximum salary above $280,900.
- 5% of job descriptions advertised a maximum salary above $380,130.
Python
93% jobs mention Python as a required skill. The Median Salary Range for these jobs is $173,141 - $228,800
- 25% of job descriptions advertised a maximum salary above $275,000.
- 5% of job descriptions advertised a maximum salary above $364,592.4.
Tensorflow
80% jobs mention Tensorflow as a required skill. The Median Salary Range for these jobs is $170,000 - $226,850
- 25% of job descriptions advertised a maximum salary above $275,000.
- 5% of job descriptions advertised a maximum salary above $364,254.
Data engineering
23% jobs mention Data engineering as a required skill. The Median Salary Range for these jobs is $173,500 - $222,500
- 25% of job descriptions advertised a maximum salary above $280,900.
- 5% of job descriptions advertised a maximum salary above $307,500.
SQL
38% jobs mention SQL as a required skill. The Median Salary Range for these jobs is $170,000 - $218,426
- 25% of job descriptions advertised a maximum salary above $272,500.
- 5% of job descriptions advertised a maximum salary above $407,558.1.

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 Legal Tech, Healthcare Technology 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.

Legal Tech
2% jobs are in Legal Tech industry. The Median Salary Range for these jobs is $240,000 - $300,000
Healthcare Technology
2% jobs are in Healthcare Technology industry. The Median Salary Range for these jobs is $197,700 - $253,400
- 25% of job descriptions advertised a maximum salary above $281,800.
Artificial Intelligence
6% jobs are in Artificial Intelligence industry. The Median Salary Range for these jobs is $180,000 - $250,000
- 25% of job descriptions advertised a maximum salary above $312,500.
- 5% of job descriptions advertised a maximum salary above $425,000.
3D technology, Mixed-reality experiences
1% jobs are in 3D technology, Mixed-reality experiences industry. The Median Salary Range for these jobs is $180,000 - $250,000
Online Advertising
2% jobs are in Online Advertising industry. The Median Salary Range for these jobs is $177,500 - $248,500
- 25% of job descriptions advertised a maximum salary above $267,100.
Software Development
32% jobs are in Software Development industry. The Median Salary Range for these jobs is $174,462 - $238,000
- 25% of job descriptions advertised a maximum salary above $316,145.5.
- 5% of job descriptions advertised a maximum salary above $524,295.2.
Cybersecurity
2% jobs are in Cybersecurity industry. The Median Salary Range for these jobs is $152,500 - $225,000
- 25% of job descriptions advertised a maximum salary above $235,000.
Aerospace
2% jobs are in Aerospace industry. The Median Salary Range for these jobs is $177,500 - $219,500
- 25% of job descriptions advertised a maximum salary above $244,000.
Legal Services
3% jobs are in Legal Services industry. The Median Salary Range for these jobs is $135,000 - $199,000
Machine Learning
2% jobs are in Machine Learning industry. The Median Salary Range for these jobs is $160,000 - $185,000
- 25% of job descriptions advertised a maximum salary above $250,000.

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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🔥 Staff Software Engineer - Bidding Intelligence

Posted about 5 hours ago

📍 CA, CO, ID, IL, FL, GA, MA, MI, MN, MO, NJ, NV, NY, OR, PA, TX, UT, WA

🧭 Full-Time

💸 165000.0 - 225000.0 USD per year

🔍 Software Development

🏢 Company: Liftoff👥 501-1000💰 Private about 4 years agoAdvertising Platforms Big Data Mobile Advertising App Marketing Ad Retargeting Mobile Ad Network

🔧 Requirements

8+ years of industry experience in Software Engineering and/or Infrastructure
B.S. or higher in Computer Science
Very strong coding ability
Deep understanding of computer architectures, data structures, and algorithms
Experience building low-latency, high-throughput, distributed backend services
Experience building data-intensive applications
Good team communication and collaboration skills

💡 Responsibilities

Build state-of-the-art deep learning models to make accurate bidding decisions in millions of auctions per second
Work with an experienced team of ML, Software, and Infrastructure Engineers
Design, engineer & implement reliable, scalable, and cost-efficient systems
Achieve core business objectives by enabling next generation ML models and technologies
Utilize vendor-based products (AWS, Weights & Biases, etc.), open source technologies (PyTorch, PySpark, etc.), and in-house tooling

AWS Backend Development Python Software Development Data Analysis Machine Learning PyTorch Algorithms Data Structures REST API Microservices Software Engineering

Posted about 5 hours ago

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🔥 Senior Data Scientist (NLP)

Posted about 5 hours 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 about 5 hours ago

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🔥 Machine Learning Engineer (LLMs)

Posted 1 day ago

📍 Poland

🧭 Full-Time

💸 23500.0 - 35000.0 PLN per month

🔍 Education Technology

🏢 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

3+ years experience with deployment and maintenance of Machine Learning models in production
Experience in deploying and maintaining Deep Learning models, particularly Large Language Models (LLMs)
Strong command of writing production-level code in Python, with a focus on best engineering practices, in particular for training & deploying models.
PyData stack along with quick frontend frameworks e.g. streamlit.
Proven expertise in Cloud Computing (preferably AWS and services like IAM, EC2, S3, ECR, EKS, Redshift, Athena, Glue, Lambda, SecretManager) for storage, data pipelines, ML pipelines, and ML deployment.
Machine Learning frameworks such as: Tensorflow, PyTorch, JAX, scikit-learn, Transformers (HuggingFace).
Proven track record of development of data and machine learning pipelines.
Knowledge of Linux/Unix system, shell scripting.
Parallel computing (multi-processing, async, GPUs, types of AI parallelism).
Culture of DevOps and high-quality software standards.
Fluency in English.

💡 Responsibilities

Operationalization of Machine Learning Models
Orchestration of the entire ML model lifecycle, from development and deployment to monitoring, maintenance, and optimization ensuring scalability, efficiency, and reliability.
Implementation of automated workflows for model retraining, versioning, and performance tracking to ensure long-term stability.
Transformation of Machine Learning artifacts into production systems and services maintaining robust integration with existing engineering infrastructure.
Tooling, Infrastructure & Experimentation Support
Design and implementation of tools, frameworks, and infrastructure to enhance efficiency of Data Scientists and other stakeholders simplifying areas such as model training and evaluation, data annotation, and processing.
Working with large-scale datasets in structured and ad-hoc exploratory setups to support both creation of well-organized data pipelines and rapid experimentation and prototyping.
Supporting Technical Lead and Data Scientists in refactoring and optimizing research code, ensuring high-quality, reusability, and scalability of delivered solutions bridging the gap between AI experimentation and real-world deployment.
Continuous Learning
Staying up to date with cutting-edge advancements in AI technology, including state-of-the-art models, algorithms, tools, and frameworks (both models/algorithms and tools/libraries/SaaS/APIs, etc.).
Exploring opportunities to incorporate new methodologies, libraries, and services that enhance Brainly’s AI capabilities.

AWS Python SQL Bash Cloud Computing Kubernetes Machine Learning PyTorch Data science REST API Tensorflow CI/CD Linux DevOps Microservices

Posted 1 day ago

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🔥 Staff Machine Learning Engineer

Posted 2 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 2 days ago

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🔥 AI Engineer

Posted 2 days ago

📍 U.S.

🧭 Full-Time

💸 145000.0 - 198000.0 USD per year

🔍 Software Development

🏢 Company: Vizcom

🔧 Requirements

Experience working with 2D and 3D diffusion techniques.
Understanding of 3D data and AI to make it more accessible and practical.
Familiar with LLMs and can apply them to solve real problems for users.
Make systems that are efficient, scalable, and robust.
Build tools with the people using them in mind, ensuring that AI enhances their work rather than complicating it.

💡 Responsibilities

Advance systems for generating, refining, and enhancing content in 2D and 3D.
Use diffusion models to generate shapes and materials, ensuring outputs are consistent and useful for real-world design.
Build LLM-powered tools that help designers by automating repetitive tasks and providing thoughtful feedback.
Adapt AI systems to be fast, reliable, and easy to use in real-time workflows.
Ensure that 2D and 3D tools work together seamlessly, helping designers move easily between different types of projects.

Backend Development Python 3D Modeling - Rhino Artificial Intelligence Image Processing Kubernetes Machine Learning PyTorch Algorithms Data Structures Tensorflow Communication Skills Analytical Skills Problem Solving RESTful APIs JSON Software Engineering Data analytics Debugging

Posted 2 days ago

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🔥 Senior AI Architect

Posted 3 days ago

📍 United States

🧭 Full-Time

💸 118000.0 - 231000.0 USD per year

🔍 Software Development

🏢 Company: MongoDB👥 1001-5000💰 Post-IPO Equity about 7 years agoDatabase Open Source Cloud Computing SaaS Software

🔧 Requirements

5+ years of progressive hands-on experience in any of the following; solution architecture, enterprise architecture, data science, AI/ML and/or software development, including 2+ years of hands-on experience in designing, building, and delivering AI-powered solutions, with a deep focus on GenAI technologies
Demonstrated thought and technical leadership in AI/GenAI technologies with experience in presenting from conferences to the board room, you have the ability to influence AI strategy and advocate best practices at C-suite whilst hands on to demonstrate the value of your ideas
Experience of building cloud-native applications using modern methodologies, test-first development, CI/CD pipelines, and microservices architectures
Good understanding of LLM architectures, vectorisation, and experience in designing Retrieval-Augmented Generation (RAG) systems for real-time applications with hands-on experience in AI/ML frameworks and tools, for example, Llamaindex, Hugging Face, LangGraph, LangChain, Pydantic, Cursor, TensorFlow, and PyTorch
Experience with cloud AI services (AWS Bedrock, Azure AI, GCP Vertex AI)
Proficiency in at least one modern programming language (ideally Python), with experience in one other modern language a plus (e.g., Node.js, Java, C#)
Experience in deploying cutting-edge GenAI technologies and LLMs, driving innovation in high-uncertainty projects
Ability to connect AI solutions to business outcomes, driving measurable value through data-driven innovation and strategic technology integration
Strong communication and leadership skills, with the ability to inspire confidence, challenge assumptions, and influence executive stakeholders
Proven ability to lead agile teams, driving backlog grooming, sprint planning, and showcases in collaboration with Product Owners and cross-functional teams
Ability to work remotely with a willingness to travel (up to 20%) for high-impact, in-person customer engagements

💡 Responsibilities

Take an “AI First” mindset, leveraging the latest GenAI technologies and solution partners to design, prototype, and implement high-impact AI solutions that solve real customer problems and drive tangible business value
Jump into customer scenarios, understanding their use case, scoping effort in supporting customers and rapidly ideate what the solution should be, innovating quickly and demonstrating the value of our technology and services
Engage directly with C-suite customer stakeholders, addressing complex business challenges through AI concepts and solutions, ensuring alignment on solution design and delivery
Quickly build prototypes and proofs of concepts using GenAI-assisted development tools, showcasing the art of the possible to customers and iterating based on feedback
Own the end-to-end design and delivery of scalable AI architectures, from data pipelines to model deployment, ensuring performance, security, and scalability at every step
Write production-quality code in modern languages (e.g., Python, Node.js, Java) to build, fine-tune, and deploy RAG architectures, LLMs and AI models, using frameworks like LangChain, TensorFlow, PyTorch, and Hugging Face
Architect data pipelines and modern data layers using MongoDB Atlas Vector Search, enabling real-time, AI-driven applications
Provide authoritative technical direction to delivery teams, ensuring architectural consistency and high-quality AI solutions that align with customer objectives
Define scope, estimate effort, and deliver product increments that align with customer business priorities, ensuring high-velocity, outcome-focused delivery
Stay ahead of the curve by experimenting with emerging GenAI techniques, optimizing development processes, and driving the adoption of best practices in responsible AI
Contribute to ongoing development of a repository of reusable solution components, including reference architectures, GenAI blueprints, and AI-driven application modules, to accelerate delivery
Actively participate in the MongoDB and GenAI communities, sharing insights, driving best practices, and influencing the direction of AI-driven solutions

AWS Leadership Node.js Python Software Development Artificial Intelligence Cloud Computing Java Kubernetes Machine Learning MongoDB PyTorch Software Architecture Data science REST API Tensorflow Communication Skills CI/CD Agile methodologies DevOps Microservices

Posted 3 days ago

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🔥 Staff Machine Learning Engineer, Inclusive AI

Posted 3 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 3 days ago

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🔥 Senior ML/NLU Engineer - Solventum

Posted 3 days ago

📍 United States

💸 119076.0 - 145537.0 USD per year

🔍 Software Development

🔧 Requirements

Five (5) years of software development experience using one or more of the following: Java or Python
Two (2) years of experience with containerization technology such as Docker, Kubernetes or AWS ECS

💡 Responsibilities

Design, develop, and maintain scalable cloud-based ML systems, ensuring reliability and performance in production environments.
Integrate ML systems into existing NLU pipelines to enhance functionality and accuracy.
Collaborate closely with Clinical Subject Matter Experts, Application Engineers, and Product Teams to support the end-to-end execution of ML-based solutions.

Docker Python Software Development SQL Agile Git Java Kubernetes Machine Learning MLFlow PyTorch Data science Tensorflow RESTful APIs Software Engineering

Posted 3 days ago

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🔥 Staff Machine Learning Engineer, Bidding and Pacing

Posted 7 days ago

📍 United States, Canada

🧭 Full-Time

💸 230000.0 - 322000.0 USD per year

🔍 Software Development

🔧 Requirements

7+ years of contributing high-quality code to production systems that operate at scale.
5+ years of experience building control systems, PID controllers, multi-armed bandits, reinforcement learning algorithms, or bid/pricing optimization systems.
Experience leading large engineering teams and collaborating with cross-functional partners is required.
Experience designing optimization algorithms in an ad serving platform and/or other marketplaces is preferred.
Experience with state of the art control systems, reinforcement learning algorithms is a strong plus.

💡 Responsibilities

Building Reddit-scale optimizations to improve advertiser outcomes using cutting-edge techniques in the industry.
Leverage live auction data and model predictions to adjust campaign bids in real time.
Incorporate knowledge of the Reddit ads marketplace into budget pacing algorithms powered by control & reinforcement learning systems
Lead the team on designing new bid & budget optimization products and algorithms as well as conducting rigorous A/B experiments to evaluate the business impact.
Actively participate and work with other leads to set the long term direction for the team, plan and oversee engineering designs and project execution.

AWS Docker Leadership PostgreSQL Python SQL Cloud Computing Data Analysis ElasticSearch GCP Java Kubernetes Machine Learning PyTorch Cross-functional Team Leadership Algorithms Cassandra Data Structures REST API Redis Tensorflow Scala Data modeling A/B testing

Posted 7 days ago

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🔥 AI BioPharma, Physics Methods (Affinity)

Posted 8 days ago

📍 USA

🧭 Full-Time

💸 167000.0 - 234000.0 USD per year

🔍 BioPharma

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

🔧 Requirements

PhD, in computer science, machine learning, computational chemistry, or any scientific field involving substantial work in the above
1-3 years industry and/or postdoctoral experience in ML enhanced biopharma
Experience with geometric deep learning applied to molecular and biological systems.
Experience with physics-based simulation methods for molecules and biological systems, such as molecular dynamics and free energy perturbation
Excellent communication skills
Superior coding ability in Python and relevant ML frameworks such as PyTorch

💡 Responsibilities

Plan and execute molecular dynamics (MD) runs for synthetic data generation.
Implement expressive and efficient deep-learning architectures.
Work with a multidisciplinary team of medicinal chemists, computational chemists, physicists, engineers, and machine learning scientists to produce novel models for drug discovery, including for protein-ligand affinity prediction.
Reproduce and improve upon academic results in the field of ML-enhanced drug discovery.
Write patents, research papers, and technical documents. Participate and present at international conferences.

Python Machine Learning PyTorch Algorithms Data Structures Analytical Skills Problem Solving Excellent communication skills

Posted 8 days ago

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Shown 10 out of 95

PyTorch Job Salaries

Median high-range salary for jobs requiring PyTorch:

Skills and Salary

Data Structures

Algorithms

Data Analysis

AWS

Machine Learning

Python

Tensorflow

Data engineering

SQL

Industries and Salary

Legal Tech

Healthcare Technology

Artificial Intelligence

3D technology, Mixed-reality experiences

Online Advertising

Software Development

Cybersecurity

Aerospace

Legal Services

Machine Learning

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