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Phd Python Jobs in Vancouver, BC (NOW HIRING)

MS or PhD in Computer Science, EE, Physics or related quantitative field * 7+ years of experience in back-end development in python. * 3+ years of engineering experience with significant exposure to ...

Proficient with python data-science libraries ( pandas, numpy, bokeh ) * Expertise in combinatorial and graph optimization algorithms * A Masters or PHD in Computer Science, Engineering. or ...

Proficient with python data-science libraries ( pandas, numpy, bokeh ) * Expertise in combinatorial and graph optimization algorithms * A Masters or PHD in Computer Science, Engineering. or ...

Proficient with python data-science libraries ( pandas, numpy, bokeh ) * Expertise in combinatorial and graph optimization algorithms * A Masters or PHD in Computer Science, Engineering. or ...

Proficient with python data-science libraries ( pandas, numpy, bokeh ) * Expertise in combinatorial and graph optimization algorithms * A Masters or PHD in Computer Science, Engineering. or ...

Data Scientist

Vancouver, BC · On-site

$80K - $100K/yr

You Have: * A Masters or PHD in a quantitative field (i.e. Physics, Computer Science, Stats) * 1-2 years' experience developing solutions and working with Python * Confident extracting and ...

Data Scientist

New Westminster, BC · On-site

$80K - $100K/yr

You Have: * A Masters or PHD in a quantitative field (i.e. Physics, Computer Science, Stats) * 1-2 years' experience developing solutions and working with Python * Confident extracting and ...

You Have: * A Masters or PHD in a quantitative field (i.e. Physics, Computer Science, Stats) * 1-2 years' experience developing solutions and working with Python * Confident extracting and ...

You Have: * A Masters or PHD in a quantitative field (i.e. Physics, Computer Science, Stats) * 1-2 years' experience developing solutions and working with Python * Confident extracting and ...

Senior Deep Learning Engineer

Vancouver, BC · On-site +1

$130K - $180K/yr

Strong math skills and Python proficiency * Experience with C/C++ Preferred Skills & Experience: * Master's or PhD in Computer Science, Engineering, or related field * Experience in embedded or low ...

Senior Deep Learning Engineer

Vancouver, BC · On-site +1

$130K - $180K/yr

Strong math skills and Python proficiency * Experience with C/C++ Preferred Skills & Experience: * Master's or PhD in Computer Science, Engineering, or related field * Experience in embedded or low ...

Master's or PhD degree in Computer Science, Machine Learning, Computational Linguistics, or a ... Strong proficiency in Python and PyTorch, with the ability to write clean, production-ready ...

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Phd Python information

What high paying jobs can I get with a PhD?

A PhD in Python can lead to high-paying roles such as data scientist, machine learning engineer, AI researcher, or quantitative analyst, often requiring advanced programming, statistical skills, and experience with tools like TensorFlow or PyTorch. These positions typically offer salaries above industry average, especially in technology, finance, and research sectors.

Can I do PhD in Python?

A PhD in Python typically refers to research involving the Python programming language, often in computer science or data science fields. While there is no formal PhD in Python itself, students can pursue doctoral degrees in related areas such as computer science, machine learning, or artificial intelligence, where Python is commonly used as a tool for research and development. These programs usually require a strong background in programming, research skills, and knowledge of relevant concepts like algorithms and data analysis.

What are the key skills and qualifications needed to thrive as a PhD-level Python Developer, and why are they important?

To thrive as a PhD-level Python Developer, you need advanced programming skills in Python, a relevant doctoral degree (typically in computer science, data science, or a related field), and a strong foundation in research methodologies. Experience with scientific computing libraries (such as NumPy, pandas, and SciPy), machine learning frameworks, and version control systems like Git is highly valued. Exceptional problem-solving abilities, clear communication, and the capacity to work independently are crucial soft skills for this role. These skills and qualities are essential for driving innovative research, developing robust code, and effectively collaborating within interdisciplinary teams.

Are Python coders still in demand?

Python developers are currently in high demand across various industries due to its versatility in data analysis, machine learning, web development, and automation. Skills in frameworks like Django or Flask, along with proficiency in libraries such as Pandas or TensorFlow, enhance employability in this field.

What types of collaborative projects might a PhD with Python expertise typically engage in within a research or industry setting?

PhDs with strong Python skills often work on multidisciplinary projects that require data analysis, machine learning, or automation. They may collaborate with domain experts, data scientists, and software engineers to design experiments, develop analytical tools, or build scalable research prototypes. Collaborative work frequently involves contributing to codebases, sharing insights through data visualization, and participating in regular meetings to align project goals. Such environments foster both technical growth and exposure to diverse fields, supporting career advancement through impactful contributions.

What is the highest paying job in Python?

The highest paying jobs involving Python typically include roles such as Machine Learning Engineer, Data Scientist, and Quantitative Analyst, especially in finance and technology sectors. These positions often require advanced skills in algorithms, data analysis, and experience with frameworks like TensorFlow or PyTorch, and they can offer salaries exceeding $150,000 annually depending on experience and location.

What is a PhD Python developer?

A PhD Python developer is a professional who has earned a Doctor of Philosophy (PhD) degree and specializes in using the Python programming language for research, data analysis, software development, or academic projects. These individuals often work in fields like data science, machine learning, scientific computing, or academia, where complex problem-solving and advanced analytical skills are required. Their expertise in both research methodologies and Python allows them to tackle sophisticated computational tasks and contribute to cutting-edge innovation.
What are popular job titles related to Phd Python jobs in Vancouver, BC? For Phd Python jobs in Vancouver, BC, the most frequently searched job titles are:
What job categories do people searching Phd Python jobs in Vancouver, BC look for? The top searched job categories for Phd Python jobs in Vancouver, BC are:
Python Software Developer

Python Software Developer

PDF Solutions

Vancouver, BC

CA$100K - CA$135K/yr

Full-time

Posted 6 days ago


Job description

Overview

At PDF Solutions, we are at the forefront of revolutionizing the semiconductor industry. Our cutting-edge technologies and data-driven solutions empower semiconductor manufacturers to achieve unprecedented levels of efficiency, quality, and innovation. By joining our team, you'll have the opportunity to work with some of the brightest minds in the industry, tackle complex challenges, and contribute to groundbreaking advancements that shape the future of technology. Headquartered in Santa Clara, California, PDF Solutions also operates worldwide in Canada, China, France, Germany, Italy, Japan, Korea, and Taiwan.

This work involves building robust Machine Leanring (ML) modeling pipeline in Python to achieve desired ML model performance on metrics of customer interest (e.g. yield, tolerance). Broken into steps, the work is roughly an equal mix of tweaking core ML algorithms / pipelines for enhanced model performance with desired computational speed and/or creating deployment-ready software in our proprietary architecture.

This role offers a unique opportunity to deploy non-trivial ML modeling pipeline into production along with associated systems, and seeing the impact of those models in action at some of the world’s largest chip manufacturers for wide variety of use cases. This is not a Hadoop/Spark-focused big data role but rather an ML-focused role but may also include general software engineering tasks as well, depending on what is needed to make the overall product and platform successful and production-ready. Our deployment environment is markedly different from typical cloud deployment with constant access for updates or bug-fixes. Roughly stated, the production requirements are closer to a self-driving robot than a cloud-integrated image recognition service.

An ideal candidate has invested time in continuous learning and implementing algorithms either using an existing framework/library or from scratch and understands failure modes of various algorithms in production. Additionally, the ideal candidate has collaborated with Data Scientists to put ML code into production.


Responsibilities
  • Implementing production grade scalable ML algorithms and analytics solutions
  • Improving computational performance of ML algorithms and analytics solutions
  • Interact with Software Engineers and Data Scientists to create clean API interfaces

Qualifications
  • MS or PhD in Computer Science, EE, Physics or related quantitative field
  • 7+ years of experience in back-end development in python.
  • 3+ years of engineering experience with significant exposure to algorithm implementation/machine learning libraries/frameworks.
  • Experience with relational and NoSQL databases such as Postgresql/Cassandra/Redis or similar.
  • Experience with API calls.
  • Hands-on experience with containers such as Docker.
  • Ability to analyze the bottlenecks and create high performance code.
  • Good understanding of CPU and memory issues in parallel computing

Pay Range
CAD $100,000.00 - CAD $135,000.00 /Yr.Qualifications:
  • MS or PhD in Computer Science, EE, Physics or related quantitative field
  • 7+ years of experience in back-end development in python.
  • 3+ years of engineering experience with significant exposure to algorithm implementation/machine learning libraries/frameworks.
  • Experience with relational and NoSQL databases such as Postgresql/Cassandra/Redis or similar.
  • Experience with API calls.
  • Hands-on experience with containers such as Docker.
  • Ability to analyze the bottlenecks and create high performance code.
  • Good understanding of CPU and memory issues in parallel computing
Education:UNAVAILABLEEmployment Type: FULL_TIME