A successful candidate will have strong machine learning background and a desire to push the ... Key job responsibilities As an Applied Scientist, you will leverage your technical expertise and ...
A successful candidate will have strong machine learning background and a desire to push the ... Key job responsibilities As an Applied Scientist, you will leverage your technical expertise and ...
Machine Learning - Master-Level Internship
Etobicoke, ON · On-site +1
$32/hr
As a Machine Learning Intern, you will work closely with our data scientists and engineers to ... Our interns come from top universities worldwide, and we invite you to contribute, learn, and grow ...
Machine Learning - Master-Level Internship
Etobicoke, ON · On-site +1
$32/hr
As a Machine Learning Intern, you will work closely with our data scientists and engineers to ... Our interns come from top universities worldwide, and we invite you to contribute, learn, and grow ...
Senior Applied Scientist
Toronto, ON · Hybrid
About the Role As a Senior Applied Scientist, you will lead end-to-end applied research projects ... PhD or Master's degree with equivalent industry experience in Computer Science, Machine Learning ...
Senior Applied Scientist
Toronto, ON · Hybrid
About the Role As a Senior Applied Scientist, you will lead end-to-end applied research projects ... PhD or Master's degree with equivalent industry experience in Computer Science, Machine Learning ...
Applied Machine Learning Scientist II (ATH # 5215)
Toronto, ON · On-site
CA$125K - CA$154K/yr
The position reports to SeniorApplied Machine Learning Scientist(Generative AI),inthe AI/ML Model Validation team and is primarily focused on the validation and review of Generative AI and Deep ...
Applied Machine Learning Scientist II (ATH # 5215)
Toronto, ON · On-site
CA$125K - CA$154K/yr
The position reports to SeniorApplied Machine Learning Scientist(Generative AI),inthe AI/ML Model Validation team and is primarily focused on the validation and review of Generative AI and Deep ...
Lead Applied Scientist
Toronto, ON · Hybrid
About the Role As a Lead Applied Scientist, you will define research strategy and lead high-impact ... PhD or Master's degree with equivalent industry experience in Computer Science, Machine Learning ...
Lead Applied Scientist
Toronto, ON · Hybrid
About the Role As a Lead Applied Scientist, you will define research strategy and lead high-impact ... PhD or Master's degree with equivalent industry experience in Computer Science, Machine Learning ...
Applied Machine Learning Scientist II
Toronto, ON · On-site
CA$125K - CA$154K/yr
We're looking for a highly motivated Applied Machine Learning Scientist II to join our AI2 team. In this role, you'll apply expertise across the end-to-end AI and machine learning lifecycle ...
Applied Machine Learning Scientist II
Toronto, ON · On-site
CA$125K - CA$154K/yr
We're looking for a highly motivated Applied Machine Learning Scientist II to join our AI2 team. In this role, you'll apply expertise across the end-to-end AI and machine learning lifecycle ...
With expertise spanning machine learning, bioinformatics, data science, engineering, and drug development, our multidisciplinary team in Toronto and Cambridge, MA is revolutionizing how new medicines ...
With expertise spanning machine learning, bioinformatics, data science, engineering, and drug development, our multidisciplinary team in Toronto and Cambridge, MA is revolutionizing how new medicines ...
161 Bay Street (93021), Canada, Toronto,Toronto, Ontario, Principal Associate Data Scientist, Machine Learning About Capital One Canada. For 30 years, we've been on a mission to change banking for ...
161 Bay Street (93021), Canada, Toronto,Toronto, Ontario, Principal Associate Data Scientist, Machine Learning About Capital One Canada. For 30 years, we've been on a mission to change banking for ...
Mentor applied scientists and machine learning practitioners across the organization Required ... Qualifications * PhD in Computer Science, Information Retrieval, AI, Machine Learning, NLP, or a ...
Mentor applied scientists and machine learning practitioners across the organization Required ... Qualifications * PhD in Computer Science, Information Retrieval, AI, Machine Learning, NLP, or a ...
Principal Associate Data Scientist, Machine Learning
Toronto, ON · On-site
$208 - $238/hr
About the Role As a Machine Learning Data Scientist at Capital One, you'll be part of a team that's leading the next wave of disruption at a whole new scale, using the latest in distributed computing ...
Principal Associate Data Scientist, Machine Learning
Toronto, ON · On-site
$208 - $238/hr
About the Role As a Machine Learning Data Scientist at Capital One, you'll be part of a team that's leading the next wave of disruption at a whole new scale, using the latest in distributed computing ...
Lead high-impact research initiatives in ML, GenAI, and Graph ML, push the boundaries of applied ... MS or PhD in Computer Science, Machine Learning, or a related discipline * Experience with ...
Lead high-impact research initiatives in ML, GenAI, and Graph ML, push the boundaries of applied ... MS or PhD in Computer Science, Machine Learning, or a related discipline * Experience with ...
Applied Machine Learning Scientist I
Toronto, ON · On-site +1
CA$105K - CA$125K/yr
About the Role We are looking for a highly motivated Applied Machine Learning Scientist to join the Wealth AI / ML Practice, focused on Generative AI and Agentic Capabilities. In this role, you will ...
Applied Machine Learning Scientist I
Toronto, ON · On-site +1
CA$105K - CA$125K/yr
About the Role We are looking for a highly motivated Applied Machine Learning Scientist to join the Wealth AI / ML Practice, focused on Generative AI and Agentic Capabilities. In this role, you will ...
Applied Machine Learning Scientist II
Toronto, ON · On-site
CA$125K - CA$154K/yr
About the Role We are looking for a highly motivated Applied Machine Learning Scientist II to join the Wealth AI / ML Practice, focused on Generative AI and Agentic Capabilities. In this role, you ...
Applied Machine Learning Scientist II
Toronto, ON · On-site
CA$125K - CA$154K/yr
About the Role We are looking for a highly motivated Applied Machine Learning Scientist II to join the Wealth AI / ML Practice, focused on Generative AI and Agentic Capabilities. In this role, you ...
Applied Machine Learning Scientist II
Toronto, ON · On-site
CA$125K - CA$154K/yr
We're looking for a highly motivated Applied Machine Learning Scientist to join our AI2 team. In this role, you'll drive the development and deployment of ML solutions that power data-driven decision ...
Applied Machine Learning Scientist II
Toronto, ON · On-site
CA$125K - CA$154K/yr
We're looking for a highly motivated Applied Machine Learning Scientist to join our AI2 team. In this role, you'll drive the development and deployment of ML solutions that power data-driven decision ...
Applied Scientist, Sales AI
Toronto, ON · On-site
As an Applied Scientist on the team, you will bring deep expertise in quantitative modeling ... new Machine Learning and Generative Artificial Intelligence solutions to optimize all aspects of ...
Applied Scientist, Sales AI
Toronto, ON · On-site
As an Applied Scientist on the team, you will bring deep expertise in quantitative modeling ... new Machine Learning and Generative Artificial Intelligence solutions to optimize all aspects of ...
As a Senior Applied Scientist, you'll innovate at the leading edge of on-device and privacy-first ... You'll advance privacy-preserving machine learning, techniques like federated learning and on ...
As a Senior Applied Scientist, you'll innovate at the leading edge of on-device and privacy-first ... You'll advance privacy-preserving machine learning, techniques like federated learning and on ...
Applied Scientist II
Toronto, ON · On-site
Applied Scientists on our team work closely with engineering throughout the lifecycle of the ... machine learning * You think beyond just the task at hand to deeply understand the 'why' behind ...
Applied Scientist II
Toronto, ON · On-site
Applied Scientists on our team work closely with engineering throughout the lifecycle of the ... machine learning * You think beyond just the task at hand to deeply understand the 'why' behind ...
Senior Applied Machine Learning Scientist, Predictive AI(B3617)
Toronto, ON · On-site
CA$156K - CA$190K/yr
As a Senior Applied Machine Learning Scientist, you will lead a high-performing team of AI/ML professionals and provide technical leadership across the AI function. You will be responsible for:
Senior Applied Machine Learning Scientist, Predictive AI(B3617)
Toronto, ON · On-site
CA$156K - CA$190K/yr
As a Senior Applied Machine Learning Scientist, you will lead a high-performing team of AI/ML professionals and provide technical leadership across the AI function. You will be responsible for:
As a Senior Applied Scientist on the team, you will be at the forefront of innovation, developing ... Use state-of-the-art scientific technologies including Generative AI, Classical Machine Learning ...
As a Senior Applied Scientist on the team, you will be at the forefront of innovation, developing ... Use state-of-the-art scientific technologies including Generative AI, Classical Machine Learning ...
Applied Scientist, Sales AI
Toronto, ON · On-site
As an Applied Scientist on the team focused on creating customer-facing recommendations related to ... new Machine Learning and Generative Artificial Intelligence solutions to optimize all aspects of ...
Applied Scientist, Sales AI
Toronto, ON · On-site
As an Applied Scientist on the team focused on creating customer-facing recommendations related to ... new Machine Learning and Generative Artificial Intelligence solutions to optimize all aspects of ...
Internship Applied Scientist Machine Learning information
What types of projects do internship applied scientists in machine learning typically work on, and how do they contribute to the team's goals?
Internship Applied Scientists in Machine Learning often collaborate with multidisciplinary teams to tackle real-world problems using data-driven approaches. Typical projects might include developing and fine-tuning machine learning models, conducting experiments to validate hypotheses, or assisting in the deployment of algorithms into production systems. Interns are expected to contribute fresh perspectives, help with data preprocessing, and perform thorough model evaluations. Through these projects, interns gain hands-on experience while directly supporting the team's research and product development objectives.
What is the difference between Internship Applied Scientist Machine Learning vs Internship Data Scientist?
| Aspect | Internship Applied Scientist Machine Learning | Internship Data Scientist |
|---|---|---|
| Required Credentials | Relevant degrees in Computer Science, Data Science, or related fields; knowledge of ML frameworks | Degrees in Statistics, Data Science, or related fields; strong analytical skills |
| Work Environment | Research and development teams, focus on ML model development | Business teams, focus on data analysis and insights |
| Employer & Industry Usage | Tech companies, AI-focused organizations | Various industries including tech, finance, healthcare |
| Comparison Search Intent | Understanding roles in ML research and development | Understanding data analysis and business insights roles |
Internship Applied Scientist Machine Learning roles focus on developing and applying machine learning models, often in research settings. In contrast, Internship Data Scientist positions emphasize analyzing data to generate insights for business decisions. Both roles require strong analytical skills and relevant educational backgrounds, but they differ in their primary focus and work environment.
What are the key skills and qualifications needed to thrive as an internship applied scientist in machine learning, and why are they important?
To thrive as an Internship Applied Scientist in Machine Learning, you need a solid background in mathematics, statistics, and computer science, often supported by coursework or research experience in machine learning and data analysis. Familiarity with tools such as Python, TensorFlow, PyTorch, and experience working with large datasets are highly valued, along with knowledge of version control systems like Git. Strong problem-solving skills, curiosity, and the ability to communicate complex concepts clearly set top candidates apart. These competencies are crucial for effectively designing, implementing, and presenting machine learning solutions that address real-world challenges.
What does an internship applied scientist in machine learning do?
An Internship Applied Scientist in Machine Learning works on real-world projects involving the design, development, and evaluation of machine learning models and algorithms. Their responsibilities typically include data analysis, building predictive models, experimenting with new techniques, and collaborating with engineers and researchers to solve complex problems. Interns gain hands-on experience with tools like Python, TensorFlow, or PyTorch, and contribute to advancing the company's AI capabilities. The role requires a strong foundation in mathematics, statistics, and computer science, as well as the ability to communicate findings to both technical and non-technical stakeholders.
What are popular job titles related to Internship Applied Scientist Machine Learning jobs in Toronto, ON?
For Internship Applied Scientist Machine Learning jobs in Toronto, ON, the most frequently searched job titles are:
What job categories do people searching Internship Applied Scientist Machine Learning jobs in Toronto, ON look for?
The top searched job categories for Internship Applied Scientist Machine Learning jobs in Toronto, ON are:
- Internship Applied Mathematics Intern
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- Internship Machine Learning Startup
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- Part Time Data Visualization
Full-time
Re-posted 18 days ago
Amazon rating
7.4
Based on 7,084 frontline employees who took The Breakroom Quiz
6th of 39 rated national retailers
Job description
Conversational AI ModEling and Learning (CAMEL) team is part of Amazon Devices organization where our mission is to build a best-in-class Conversational AI that is intuitive, intelligent, and responsive, by developing superior Large Language Models (LLM) solutions and services which increase the capabilities built into the model and which enable utilizing thousands of APIs and external knowledge sources to provide the best experience for each request across millions of customers and endpoints.
We are looking for a passionate, talented, and resourceful Applied Scientist in the field of LLM, Artificial Intelligence (AI), Natural Language Processing (NLP), Recommender Systems and/or Information Retrieval, to invent and build scalable solutions for a state-of-the-art context-aware conversational AI. A successful candidate will have strong machine learning background and a desire to push the envelope in one or more of the above areas. The ideal candidate would also have hands-on experiences in building Generative AI solutions with LLMs, enjoy operating in dynamic environments, be self-motivated to take on challenging problems to deliver big customer impact, moving fast to ship solutions and then iterating on user feedback and interactions.
Key job responsibilities
As an Applied Scientist, you will leverage your technical expertise and experience to collaborate with other talented applied scientists and engineers to research and develop novel algorithms and modeling techniques to reduce friction and enable natural and contextual conversations
You will analyze, understand and improve user experiences by leveraging Amazon's heterogeneous data sources and large-scale computing resources to accelerate advances in artificial intelligence. You will work on core LLM technologies, including Prompt Engineering and Optimization, Supervised Fine-Tuning, Learning from Human Feedback, Evaluation, Self-Learning, etc. Your work will directly impact our customers in the form of novel products and services.
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