Are you a PhD interested in machine learning, natural language processing, computer vision, automated reasoning, robotics, or quantum technologies. We are looking for skilled scientists capable of ...
Are you a PhD interested in machine learning, natural language processing, computer vision, automated reasoning, robotics, or quantum technologies. We are looking for skilled scientists capable of ...
Postdoctoral Researcher - XLZD experiment
CA$65K - CA$76K/yr
Performing sensitivity studies using advanced statistical and machine learning techniques ... PhD within the next few months. Appointment Details The successful applicant will be employed by ...
Postdoctoral Researcher - XLZD experiment
CA$65K - CA$76K/yr
Performing sensitivity studies using advanced statistical and machine learning techniques ... PhD within the next few months. Appointment Details The successful applicant will be employed by ...
... acceleration machine learning accelerators, spatial architectures, or GPUs. * Strong problem ... Computer Science, Engineering, or related degree; preferably MS or PhD. * Driven and self-directed.
Quick apply
... acceleration machine learning accelerators, spatial architectures, or GPUs. * Strong problem ... Computer Science, Engineering, or related degree; preferably MS or PhD. * Driven and self-directed.
... acceleration machine learning accelerators, spatial architectures, or GPUs. * Strong problem ... Computer Science, Engineering, or related degree; preferably MS or PhD. * Driven and self-directed.
Quick apply
... acceleration machine learning accelerators, spatial architectures, or GPUs. * Strong problem ... Computer Science, Engineering, or related degree; preferably MS or PhD. * Driven and self-directed.
... acceleration machine learning accelerators, spatial architectures, or GPUs. * Strong problem ... Computer Science, Engineering, or related degree; preferably MS or PhD. * Driven and self-directed.
Quick apply
... acceleration machine learning accelerators, spatial architectures, or GPUs. * Strong problem ... Computer Science, Engineering, or related degree; preferably MS or PhD. * Driven and self-directed.
Master's or PhD degree in Computer Science, Machine Learning, Computational Linguistics, or a related quantitative field. * 2+ years of industry experience in Machine Learning/NLP for Master's degree ...
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Master's or PhD degree in Computer Science, Machine Learning, Computational Linguistics, or a related quantitative field. * 2+ years of industry experience in Machine Learning/NLP for Master's degree ...
... acceleration machine learning accelerators, spatial architectures, or GPUs. * Strong problem ... Computer Science, Engineering, or related degree; preferably MS or PhD. * Driven and self-directed.
Quick apply
... acceleration machine learning accelerators, spatial architectures, or GPUs. * Strong problem ... Computer Science, Engineering, or related degree; preferably MS or PhD. * Driven and self-directed.
Research Associate
CA$6.3K/mo
Develop and/or adapt machine learning and artificial intelligence approaches for the analysis of ... PhD in Computational Biology, Bioinformatics, Genomics, Systems Biology, Computer Science ...
Research Associate
CA$6.3K/mo
Develop and/or adapt machine learning and artificial intelligence approaches for the analysis of ... PhD in Computational Biology, Bioinformatics, Genomics, Systems Biology, Computer Science ...
Research Associate
CA$6.3K/mo
Develop and/or adapt machine learning and artificial intelligence approaches for the analysis of ... PhD in Computational Biology, Bioinformatics, Genomics, Systems Biology, Computer Science ...
Research Associate
CA$6.3K/mo
Develop and/or adapt machine learning and artificial intelligence approaches for the analysis of ... PhD in Computational Biology, Bioinformatics, Genomics, Systems Biology, Computer Science ...
... PhD preferred) in Computer Science, Machine Learning, AI, or related field with a strong publication record in peer-reviewed conferences and journals. Proven experience leading technical research ...
... PhD preferred) in Computer Science, Machine Learning, AI, or related field with a strong publication record in peer-reviewed conferences and journals. Proven experience leading technical research ...
MS/PhD in Computer Science/Computer Engineering. * Strong software engineering fundamentals ... Machine Learning Engineering: Basic background in machine learning, background in ML, data ...
MS/PhD in Computer Science/Computer Engineering. * Strong software engineering fundamentals ... Machine Learning Engineering: Basic background in machine learning, background in ML, data ...
MS/PhD in Computer Science/Computer Engineering. * Strong software engineering fundamentals ... Machine Learning Engineering: Basic background in machine learning, background in ML, data ...
MS/PhD in Computer Science/Computer Engineering. * Strong software engineering fundamentals ... Machine Learning Engineering: Basic background in machine learning, background in ML, data ...
... machine learning, artificial intelligence and experiential network addressing the business ... Preference for candidates with a PhD in a sciences field, or similar. Demonstration of teaching at ...
... machine learning, artificial intelligence and experiential network addressing the business ... Preference for candidates with a PhD in a sciences field, or similar. Demonstration of teaching at ...
Currently enrolled in final year or recently completed a Bachelor's, Master's, or PhD program in Computer Science, Machine Learning, AI, Data Science, Computational Linguistics, or a related field.
New
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Currently enrolled in final year or recently completed a Bachelor's, Master's, or PhD program in Computer Science, Machine Learning, AI, Data Science, Computational Linguistics, or a related field.
New
Examples of projects could be Designing and deploying machine learning and predictive/generative AI ... PhD degree) Demonstrated experience in evaluating and applying state-of-the-art AI/ML models and ...
Examples of projects could be Designing and deploying machine learning and predictive/generative AI ... PhD degree) Demonstrated experience in evaluating and applying state-of-the-art AI/ML models and ...
A recent PhD in Computational Biology, Bioinformatics, Genomics, Systems Biology, Computer Science ... Experience with single-cell genomics, spatial transcriptomics, machine learning, artificial ...
A recent PhD in Computational Biology, Bioinformatics, Genomics, Systems Biology, Computer Science ... Experience with single-cell genomics, spatial transcriptomics, machine learning, artificial ...
Designing and deploying machine learning and predictive/generative AI models for demand forecasting ... Master's or PhD preferred 9-12 years of AI/ML research in industrial/corporate setting, or equivale ...
Designing and deploying machine learning and predictive/generative AI models for demand forecasting ... Master's or PhD preferred 9-12 years of AI/ML research in industrial/corporate setting, or equivale ...
... Machine Learning, or related technical field, or equivalent experience; advanced degree (Master'sor PhD) preferred 9-12 years of AI/ML engineering experience defining AI/ML engineering strategy ...
... Machine Learning, or related technical field, or equivalent experience; advanced degree (Master'sor PhD) preferred 9-12 years of AI/ML engineering experience defining AI/ML engineering strategy ...
A recent PhD in Computational Biology, Bioinformatics, Genomics, Systems Biology, Computer Science ... Experience with single-cell genomics, spatial transcriptomics, machine learning, artificial ...
A recent PhD in Computational Biology, Bioinformatics, Genomics, Systems Biology, Computer Science ... Experience with single-cell genomics, spatial transcriptomics, machine learning, artificial ...
... machine learning, and impactful business decisions. You will play a key role in shaping our next ... Master's or PhD preferred. Nice to Have: * Hands-on experience with AWS SageMaker and related ...
... machine learning, and impactful business decisions. You will play a key role in shaping our next ... Master's or PhD preferred. Nice to Have: * Hands-on experience with AWS SageMaker and related ...
Phd Machine Learning information
See British Columbia salary details
$22K - $39.5K
14% of jobs
$39.5K - $57K
7% of jobs
$70.1K is the 25th percentile. Wages below this are outliers.
$57K - $74.5K
5% of jobs
$74.5K - $92K
8% of jobs
$92K - $109.5K
11% of jobs
The median wage is $116.7K / yr.
$109.5K - $127K
12% of jobs
$127K - $144.5K
13% of jobs
$152.9K is the 75th percentile. Wages above this are outliers.
$144.5K - $162K
12% of jobs
$162K - $179.5K
9% of jobs
$179.5K - $197K
6% of jobs
$197K - $214.5K
3% of jobs
$22K
$119K
$214.5K
How much do phd machine learning jobs pay per year?
As of Aug 15, 2026, the average yearly pay for phd machine learning in British Columbia is $119,007.00, according to ZipRecruiter salary data. Most workers in this role earn between $72,500.00 and $159,000.00 per year, depending on experience, location, and employer.
What is a PhD in machine learning?
A PhD in Machine Learning is an advanced doctoral degree focused on developing new algorithms, theories, and applications in the field of machine learning. Graduates typically conduct original research, contribute to academic publications, and often specialize in areas like deep learning, reinforcement learning, or probabilistic modeling. This degree prepares individuals for careers in academia, industry research labs, or leadership roles in tech companies. The program usually involves coursework, comprehensive exams, and the completion of a dissertation based on novel research.
What are the key skills and qualifications needed to thrive as a PhD-level machine learning professional?
To thrive as a PhD-level Machine Learning professional, you need deep expertise in mathematics, statistics, computer science, and advanced machine learning algorithms, typically supported by a doctoral degree. Proficiency with programming languages like Python or R, machine learning frameworks such as TensorFlow or PyTorch, and experience with large-scale data systems are essential. Strong problem-solving skills, critical thinking, and effective communication set outstanding candidates apart by enabling them to tackle complex research challenges and collaborate across teams. These skills and qualities are crucial for driving innovation, publishing research, and developing impactful machine learning solutions.
What are some common challenges faced by PhD-level professionals in machine learning when transitioning from academia to industry roles?
PhD graduates in machine learning often encounter challenges such as adapting to faster-paced project timelines, aligning research with business objectives, and collaborating in multidisciplinary teams. Unlike academia, where projects can be exploratory and long-term, industry roles usually require actionable results within shorter deadlines. Additionally, communicating complex technical ideas to non-technical stakeholders and prioritizing practical solutions over theoretical novelty are key adjustments. However, these challenges also present opportunities for professional growth and broader impact.
What is the difference between Phd Machine Learning vs Data Scientist?
| Aspect | Phd Machine Learning | Data Scientist |
|---|---|---|
| Required Credentials | PhD in Computer Science, AI, or related field | Bachelor's or Master's in Data Science, Statistics, or related field |
| Work Environment | Research labs, academia, R&D departments | Business, tech companies, analytics teams |
| Industry Usage | Research-focused roles, advanced algorithm development | Data analysis, model building, business insights |
| Common Search/Comparison | Yes | Yes |
While both roles involve working with data and algorithms, a Phd Machine Learning typically focuses on research, developing new models, and theoretical work, often in academic or R&D settings. A Data Scientist applies these techniques to solve practical business problems, analyze data, and generate insights in industry environments.
Amazon rating
7.4
Based on 7,089 frontline employees who took The Breakroom Quiz
6th of 39 rated national retailers
Job description
Are you a PhD interested in machine learning, natural language processing, computer vision, automated reasoning, robotics, or quantum technologies. We are looking for skilled scientists capable of putting theory into practice through experimentation and invention, leveraging science techniques and implementing systems to work on massive datasets in an effort to tackle never-before-solved problems.
A successful candidate will be a self-starter comfortable with ambiguity, strong attention to detail, and the ability to work in a fast-paced, ever-changing environment. As an Applied Scientist, you will own the design and development of end-to-end systems
You'll have the opportunity to create technical roadmaps, and drive production level projects that will support Amazon Science. You will work closely with Amazon scientists, and other science interns to develop solutions and deploy them into production. The ideal scientist must have the ability to work with diverse groups of people and cross-functional teams to solve complex business problems.
Key job responsibilities
Amazon Science gives insight into the company's approach to customer-obsessed scientific innovation
Amazon fundamentally believes that scientific innovation is essential to being the most customer-centric company in the world. It's the company's ability to have an impact at scale that allows us to attract some of the brightest minds in artificial intelligence and related fields. Our scientists use our working backwards method to enrich the way we live and work.
For more information on the Amazon Science community please visit https://www.amazon.science.
About Amazon
Sourced by ZipRecruiter
Amazon.com, Inc., commonly known as Amazon, is an American multinational technology company. It was founded by Jeff Bezos in 1994 and initially started as an online marketplace for books. Since then, Amazon has expanded its operations and become one of the largest e-commerce companies in the world. Amazon's primary business is its online retail platform, where customers can purchase a vast array of products, including electronics, clothing, books, home goods, and much more. The company offers a convenient and user-friendly shopping experience, with features such as fast shipping, customer reviews, and personalized recommendations. In addition to its e-commerce platform, Amazon has diversified its business into various other areas. One of its notable ventures is Amazon Web Services (AWS), a comprehensive cloud computing platform that provides services such as storage, compute power, and database management to individuals and businesses. AWS has become a leader in the cloud computing industry, powering many websites and applications worldwide. Amazon has also developed its own consumer electronics, including the popular Amazon Kindle e-reader, Fire tablets, Fire TV streaming devices, and the Alexa-powered Echo smart speakers. The Alexa voice assistant, integrated into these devices, allows users to interact with their devices using voice commands, perform tasks, and access information. Furthermore, Amazon has expanded into media and entertainment. It operates Prime Video, a streaming service that offers a wide range of movies, TV shows, and original content. Amazon Music provides a platform for streaming and purchasing digital music, while Audible offers audiobooks and other audio content. The company's commitment to customer satisfaction and convenience is demonstrated by its membership program, Amazon Prime. Prime members receive various benefits, including free two-day shipping, access to streaming services, exclusive deals, and more.
Industry
It services, book publishers, retail, real estate and computer and electronic product manufacturing
Company size
10,000+ Employees
Headquarters location
Seattle, WA, US