Sr. Deep Learning Compiler Engineer III, AWS Neuron, Annapurna Labs – Amazon – Toronto, ON



Company: Amazon

Location: Toronto, ON

Job description: DESCRIPTIONDo you love decomposing problems to develop products that impact millions of people around the world? Would you enjoy identifying, defining, and building software solutions that revolutionize how businesses operate?The Annapurna Labs team at Amazon Web Services (AWS) is looking for a Senior Software Development Engineer to build, deliver, and maintain complex products that delight our customers and raise our performance bar. You’ll design fault-tolerant systems that run at massive scale as we continue to innovate best-in-class services and applications in the AWS Cloud.At Annapurna Labs our vision is to make deep learning pervasive for everyday developers and to democratize access to cutting edge infrastructure. In order to deliver on that vision, we’ve created innovative software and hardware solutions that make it possible.AWS Neuron is the SDK that optimizes the performance of complex neural net models executed on AWS Inferentia and Trainium, our custom chips designed to accelerate deep-learning workloadsThe Neuron SDK consists of a compiler, run-time, and debugger, integrated with Tensorflow, PyTorch, and MXNet. It’s preinstalled in AWS Deep Learning AMIs and Deep Learning Containers for customers to quickly get started with running high performance and cost-effective inference.The Neuron team is hiring senior compiler engineers in order to solve our customers toughest problems.This is an opportunity to work on cutting-edge products at the intersection of machine-learning, high-performance computing, and distributed architectures. You will architect and implement business-critical features, publish cutting-edge research, and mentor a brilliant team of experienced engineers. We operate in spaces that are very large, yet our teams remain small and agile. There is no blueprint. We’re inventing. We’re experimenting. It is a very unique learning culture.As a senior deep learning compiler engineer on the Neuron team, you will be a thought leader supporting the development of a compiler targeting AWS Inferentia and Trainum. You will be developing and scaling the compiler to handle the world’s largest ML workloads. You will need to be technically capable, credible and curious in your own right as a trusted AWS Neuron engineer, innovating on behalf of our customers. You will leverage your technical communications skill as a hands-on partner to AWS ML services teams and you will be involved in pre-silicon design, bringing new products/features to market, and many other exciting projects. A background in machine learning and AI accelerators is preferred, but not required.Explore the product and our history!
https://awsdocs-neuron.readthedocs-hosted.com/en/latest/neuron-guide/neuron-cc/index.htmlhttps://aws.amazon.com/machine-learning/neuron/https://github.com/aws/aws-neuron-sdkhttps://www.amazon.science/how-silicon-innovation-became-the-secret-sauce-behind-awss-successKey job responsibilities
Our engineers collaborate across diverse teams, projects, and environments to have a firsthand impact on our global customer base. You’ll bring a passion for innovation, data, search, analytics, and distributed systems. You’ll also:Solve challenging technical problems, often ones not solved before, at every layer of the stack.Design, implement, test, deploy and maintain innovative software solutions to transform service performance, durability, cost, and security.Build high-quality, highly available, always-on products.Research implementations that deliver the best possible experiences for customers.A day in the life
As you design and code solutions to help our team drive efficiencies in software architecture, you’ll create metrics, implement automation and other improvements, and resolve the root cause of software defects. You’ll also:Build high-impact solutions to deliver to our large customer base.Participate in design discussions, code review, and communicate with internal and external stakeholders.Work cross-functionally to help drive business decisions with your technical input.Work in a startup-like development environment, where you’re always working on the most important stuff.About the team
#1. Why AWS
Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating – that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.#2. Inclusive Team Culture
Here at AWS, we embrace our differences. We are committed to furthering our culture of inclusion. We have ten employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We have innovative benefit offerings, and host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences. Amazon’s culture of inclusion is reinforced within our 16 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust.#3. Work/Life Balance
Our team puts a high value on work-life balance. It isn’t about how many hours you spend at home or at work; it’s about the flow you establish that brings energy to both parts of your life. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment. We offer flexibility in working hours and encourage you to find your own balance between your work and personal lives.#4. Mentorship & Career Growth
Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we’re building an environment that celebrates knowledge sharing and mentorship. We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded professional and enable them to take on more complex tasks in the future.#5. Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.We are open to hiring candidates to work out of one of the following locations:Toronto, ON, CANBASIC QUALIFICATIONS– 5+ years of non-internship professional software development experience
– 5+ years of programming with at least one software programming language experience
– 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience
– Experience as a mentor, tech lead or leading an engineering teamPREFERRED QUALIFICATIONS– 5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
– Bachelor’s degree in computer science or equivalentAmazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, disability, age, or other legally protected status. If you would like to request an accommodation, please notify your Recruiter.
The Annapurna Labs team at Amazon Web Services is seeking a Senior Software Development Engineer to work on cutting-edge products in machine learning and high-performance computing. The role involves designing fault-tolerant systems, collaborating on diverse projects, and solving challenging technical problems. The team values work-life balance, mentorship, and diverse experiences, and welcomes candidates from all backgrounds. The ideal candidate will have at least 5 years of professional software development experience and a strong programming background. Amazon is committed to creating a diverse and inclusive workplace.
Job Description:

We are looking for a talented and motivated Marketing Assistant to join our growing team. The Marketing Assistant will support the marketing department in executing various marketing strategies and campaigns. This includes coordinating marketing events, creating and posting social media content, managing email campaigns, and tracking marketing metrics. The ideal candidate will have a strong attention to detail, excellent communication skills, and be proficient in Microsoft Office Suite and social media platforms. Prior experience in marketing or a related field is a plus.

Responsibilities:
– Assist in coordinating and executing marketing activities and campaigns
– Create and schedule social media posts
– Monitor social media channels and respond to comments and messages
– Assist in organizing and attending marketing events
– Create and distribute marketing materials
– Assist in managing email campaigns
– Track and analyze marketing metrics
– Assist in maintaining marketing databases
– Other duties as assigned

Qualifications:
– Bachelor’s degree in Marketing, Communications, or a related field
– Strong attention to detail
– Excellent written and verbal communication skills
– Proficiency in Microsoft Office Suite
– Experience with social media platforms
– Ability to multitask and prioritize tasks
– Strong organizational skills
– Previous experience in marketing or a related field is a plus

If you are a self-starter with a passion for marketing and a desire to learn and grow in a fast-paced environment, we want to hear from you. Apply now!

Expected salary:

Job date: Sun, 05 May 2024 05:13:41 GMT

Software Dev Engineer – Compiler, Annapurna Labs – Amazon – Toronto, ON



Company: Amazon

Location: Toronto, ON

Job description: DESCRIPTIONAt AWS our vision is to make deep learning pervasive for everyday developers and to democratize access to cutting edge infrastructure. In order to deliver on that vision, we’ve created innovative software and hardware solutions that make it possible.AWS Neuron is the SDK that optimizes the performance of complex neural net models executed on AWS Inferentia and Trainium, our custom chips designed to accelerate deep-learning workloads.
The Neuron SDK consists of a compiler, run-time, and debugger, integrated with Tensorflow, PyTorch, and MXNet. It is preinstalled in AWS Deep Learning AMIs and Deep Learning Containers for customers to quickly get started with running high performance and cost-effective inference.The Neuron team is looking for students interested in learning about and contributing to deep learning compilers to solve our customers toughest problems. As a compiler engineer on the Neuron team, you will be supporting the ground-up development of a compiler targeting AWS Inferentia and Trainum. This is an opportunity to work on a brand new product where you will architect and implement business-critical features, and be mentored by a brilliant team of experienced engineers.Key job responsibilities

  • Innovating and delivering creative SW Designs to develop new services, solve operational problems, drive improvements in developer velocity, or positively impact operational safety
  • Writing requirements capturing documents, design documents, integration test plans, and deployment plans
  • Communicating status and progress of deliverables to schedule, and sharing learnings/ innovations with your team and stakeholders

We are open to hiring candidates to work out of one of the following locations:Toronto, ON, CANBASIC QUALIFICATIONS

  • Currently enrolled, or completed within the last 12 months, a Bachelor’s degree program or higher Computer Science, Computer Engineering, Electrical Engineering, in these fields are considered with a graduation conferral date between December 2024 and September 2025
  • Programming experience in internship or coursework with programming language such as Python, C, or C++.

Candidates with strong interests and academic qualifications/research focus in two of the following:

  • Data structures and algorithms
  • Compilers and Instruction Set Architecture

Knowledge of resource management, scheduling, code generation, and compute graph optimization
Exposure to front-end ML frameworks (i.e. PyTorch, TensorFlow, etc.)PREFERRED QUALIFICATIONS

  • Previous technical internship(s), if applicable.
  • Experience in automating
  • Ability to effectively articulate technical challenges and solutions.

Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, disability, age, or other legally protected status. If you would like to request an accommodation, please notify your Recruiter.
AWS has developed Neuron, an SDK that optimizes performance for neural net models on AWS Inferentia and Trainium chips. The Neuron team is seeking students interested in deep learning compilers to work on developing compiler targeting these chips. Responsibilities include designing new services, writing documents, and communicating progress. Candidates should have a background in computer science/engineering and programming experience in Python, C, or C++. Strong interest in data structures, algorithms, compilers, and ML frameworks is preferred. Amazon promotes diversity and inclusivity in the workplace.
Position: Assistant Property Manager

Location: Toronto, ON

Salary: $50,000 – $60,000 a year

Job Type: Full-time

The Assistant Property Manager will be responsible for assisting in the management of a residential property in Toronto. This includes assisting in leasing, rent collections, maintenance coordination, and resident relations. The successful candidate will work closely with the Property Manager to ensure the property is well-maintained and all operational goals are met.

Responsibilities:
– Assist in all aspects of leasing, including marketing, showing units, and processing applications
– Collect rent and handle tenant inquiries
– Coordinate maintenance requests and ensure timely completion
– Assist in financial reporting and budgeting
– Ensure compliance with all regulations and company policies
– Maintain positive relationships with residents and vendors

Qualifications:
– Bachelor’s degree in Business, Real Estate, or related field
– 2+ years of experience in property management
– Knowledge of federal and provincial rental laws
– Strong communication and customer service skills
– Ability to work independently and as part of a team

If you are a motivated individual with a passion for property management, we would love to hear from you. Please apply with your resume and cover letter.

Expected salary:

Job date: Sun, 31 Mar 2024 04:20:54 GMT

Deep Learning Compiler Engineer II, AWS Neuron, Annapurna Labs – Amazon – Toronto, ON

https://logoimg.careerjet.net/63f4c2931849d63c35ef48f713d10a99_mobile.png


Company: Amazon

Location: Toronto, ON

Job description: DESCRIPTION

At AWS our vision is to make deep learning pervasive for everyday developers and to democratize access to cutting edge infrastructure. In order to deliver on that vision, we’ve created innovative software and hardware solutions that make it possible.

AWS Neuron is the SDK that optimizes the performance of complex neural net models executed on AWS Inferentia and Trainium, our custom chips designed to accelerate deep-learning workloads

The Neuron SDK consists of a compiler, run-time, and debugger, integrated with Tensorflow, PyTorch, and MXNet. It’s preinstalled in AWS Deep Learning AMIs and Deep Learning Containers for customers to quickly get started with running high performance and cost-effective inference.

The Neuron team is hiring senior compiler engineers in order to solve our customers toughest problems.

This is an opportunity to work on cutting-edge products at the intersection of machine-learning, high-performance computing, and distributed architectures. You will architect and implement business-critical features, publish cutting-edge research, and mentor a brilliant team of experienced engineers. We operate in spaces that are very large, yet our teams remain small and agile. There is no blueprint. We’re inventing. We’re experimenting. It is a very unique learning culture.

As a senior deep learning compiler engineer on the Neuron team, you will be a thought leader supporting the development of a compiler targeting AWS Inferentia and Trainum. You will be developing and scaling the compiler to handle the world’s largest ML workloads. You will need to be technically capable, credible and curious in your own right as a trusted AWS Neuron engineer, innovating on behalf of our customers. You will leverage your technical communications skill as a hands-on partner to AWS ML services teams and you will be involved in pre-silicon design, bringing new products/features to market, and many other exciting projects. A background in machine learning and AI accelerators is preferred, but not required.

Explore the product and our history!
https://awsdocs-neuron.readthedocs-hosted.com/en/latest/neuron-guide/neuron-cc/index.html

https://aws.amazon.com/machine-learning/neuron/

https://github.com/aws/aws-neuron-sdk

https://www.amazon.science/how-silicon-innovation-became-the-secret-sauce-behind-awss-success

About the team
#1. Inclusive Team Culture
Here at AWS, we embrace our differences. We are committed to furthering our culture of inclusion. We have ten employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We have innovative benefit offerings, and host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences. Amazon’s culture of inclusion is reinforced within our 16 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust.

#2. Work/Life Balance
Our team puts a high value on work-life balance. It isn’t about how many hours you spend at home or at work; it’s about the flow you establish that brings energy to both parts of your life. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment. We offer flexibility in working hours and encourage you to find your own balance between your work and personal lives.

#3. Mentorship & Career Growth
Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we’re building an environment that celebrates knowledge sharing and mentorship. We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded professional and enable them to take on more complex tasks in the future.

We are open to hiring candidates to work out of one of the following locations:

Toronto, ON, CAN

BASIC QUALIFICATIONS

– 3+ years of non-internship professional software development experience
– 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
– Experience programming with at least one software programming language

PREFERRED QUALIFICATIONS

– 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
– Bachelor’s degree in computer science or equivalent

Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, disability, age, or other legally protected status. If you would like to request an accommodation, please notify your Recruiter.
AWS is focused on making deep learning accessible to developers by creating software and hardware solutions that optimize neural net models. The Neuron SDK, paired with custom chips like AWS Inferentia and Trainium, accelerates deep-learning workloads. The team is hiring senior compiler engineers to work on cutting-edge products at the intersection of machine-learning and high-performance computing. They promote an inclusive team culture, work-life balance, mentorship, and career growth. Candidates should have professional software development experience and knowledge of design patterns, coding standards, and programming languages. AWS is committed to diversity and inclusion in the workplace.
Position: Content Writer

Location: Toronto, ON

Our company is looking for a talented and creative Content Writer to join our team. The ideal candidate will have a passion for writing and a strong ability to create engaging and informative content.

Key responsibilities:
– Research and write high-quality content for our website and other platforms
– Collaborate with other team members to develop content strategy
– Edit and proofread written content to ensure quality and accuracy
– Stay up-to-date on industry trends and best practices in content writing

Requirements:
– Bachelor’s degree in English, Journalism, Marketing, or related field
– Proven experience as a content writer or similar role
– Strong writing and editing skills
– Ability to work independently and meet deadlines
– Knowledge of SEO and keyword research

If you are a creative and dedicated writer looking to take the next step in your career, we would love to hear from you. Please apply with your resume and writing samples.

Expected salary:

Job date: Tue, 27 Feb 2024 08:38:30 GMT

Sr. Deep Learning Compiler Engineer III, AWS Neuron, Annapurna Labs – Amazon – Toronto, ON

https://logoimg.careerjet.net/63f4c2931849d63c35ef48f713d10a99_mobile.png


Company: Amazon

Location: Toronto, ON

Job description: DESCRIPTION

At AWS our vision is to make deep learning pervasive for everyday developers and to democratize access to cutting edge infrastructure. In order to deliver on that vision, we’ve created innovative software and hardware solutions that make it possible.

AWS Neuron is the SDK that optimizes the performance of complex neural net models executed on AWS Inferentia and Trainium, our custom chips designed to accelerate deep-learning workloads

The Neuron SDK consists of a compiler, run-time, and debugger, integrated with Tensorflow, PyTorch, and MXNet. It’s preinstalled in AWS Deep Learning AMIs and Deep Learning Containers for customers to quickly get started with running high performance and cost-effective inference.

The Neuron team is hiring senior compiler engineers in order to solve our customers toughest problems.

This is an opportunity to work on cutting-edge products at the intersection of machine-learning, high-performance computing, and distributed architectures. You will architect and implement business-critical features, publish cutting-edge research, and mentor a brilliant team of experienced engineers. We operate in spaces that are very large, yet our teams remain small and agile. There is no blueprint. We’re inventing. We’re experimenting. It is a very unique learning culture.

As a senior deep learning compiler engineer on the Neuron team, you will be a thought leader supporting the development of a compiler targeting AWS Inferentia and Trainum. You will be developing and scaling the compiler to handle the world’s largest ML workloads. You will need to be technically capable, credible and curious in your own right as a trusted AWS Neuron engineer, innovating on behalf of our customers. You will leverage your technical communications skill as a hands-on partner to AWS ML services teams and you will be involved in pre-silicon design, bringing new products/features to market, and many other exciting projects. A background in machine learning and AI accelerators is preferred, but not required.

Explore the product and our history!
https://awsdocs-neuron.readthedocs-hosted.com/en/latest/neuron-guide/neuron-cc/index.html

https://aws.amazon.com/machine-learning/neuron/

https://github.com/aws/aws-neuron-sdk

https://www.amazon.science/how-silicon-innovation-became-the-secret-sauce-behind-awss-success

About the team
#1. Inclusive Team Culture
Here at AWS, we embrace our differences. We are committed to furthering our culture of inclusion. We have ten employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We have innovative benefit offerings, and host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences. Amazon’s culture of inclusion is reinforced within our 16 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust.

#2. Work/Life Balance
Our team puts a high value on work-life balance. It isn’t about how many hours you spend at home or at work; it’s about the flow you establish that brings energy to both parts of your life. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment. We offer flexibility in working hours and encourage you to find your own balance between your work and personal lives.

#3. Mentorship & Career Growth
Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we’re building an environment that celebrates knowledge sharing and mentorship. We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded professional and enable them to take on more complex tasks in the future.

We are open to hiring candidates to work out of one of the following locations:

Toronto, ON, CAN

BASIC QUALIFICATIONS

– 5+ years of non-internship professional software development experience
– 5+ years of programming with at least one software programming language experience
– 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience
– Experience as a mentor, tech lead or leading an engineering team

PREFERRED QUALIFICATIONS

– 5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
– Bachelor’s degree in computer science or equivalent

Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, disability, age, or other legally protected status. If you would like to request an accommodation, please notify your Recruiter.
AWS is seeking senior deep learning compiler engineers to join their Neuron team, which focuses on optimizing neural net models using AWS’s custom chips. The team is looking for individuals with technical expertise in machine learning and AI accelerators, who can lead the development of compilers targeting AWS Inferentia and Trainium. The company promotes a culture of inclusion, work-life balance, mentorship, and career growth. The ideal candidate should have at least 5 years of professional software development experience and a background in computer science. Amazon is committed to diversity and equal opportunities in the workplace.
Job Description

Title: Administrative Assistant

Location: Vancouver, BC

Salary: $18 – $20 per hour

Our client, a leading construction company in Vancouver, is seeking an Administrative Assistant to join their team. The ideal candidate will have excellent organizational and communication skills, as well as the ability to multitask and work well under pressure.

Responsibilities:

– Answering phones and directing calls to the appropriate person
– Greeting and assisting visitors
– Managing and maintaining office supplies
– Assisting with scheduling and calendar management
– Data entry and filing
– Assisting with special projects as needed

Qualifications:

– High school diploma or equivalent
– Previous experience in an administrative role is preferred
– Proficiency in MS Office suite
– Strong communication and interpersonal skills
– Ability to prioritize and multitask effectively

If you are a motivated and detail-oriented individual looking to grow your career in the construction industry, apply now!

Expected salary:

Job date: Sat, 24 Feb 2024 01:02:29 GMT

Deep Learning Compiler Engineer II, AWS Neuron, Annapurna Labs – Amazon – Toronto, ON

https://logoimg.careerjet.net/63f4c2931849d63c35ef48f713d10a99_mobile.png


Company: Amazon

Location: Toronto, ON

Job description: DESCRIPTION
At AWS our vision is to make deep learning pervasive for everyday developers and to democratize access to cutting edge infrastructure. In order to deliver on that vision, we’ve created innovative software and hardware solutions that make it possible.
AWS Neuron is the SDK that optimizes the performance of complex neural net models executed on AWS Inferentia and Trainium, our custom chips designed to accelerate deep-learning workloads
The Neuron SDK consists of a compiler, run-time, and debugger, integrated with Tensorflow, PyTorch, and MXNet. It’s preinstalled in AWS Deep Learning AMIs and Deep Learning Containers for customers to quickly get started with running high performance and cost-effective inference.
The Neuron team is hiring senior compiler engineers in order to solve our customers toughest problems.
This is an opportunity to work on cutting-edge products at the intersection of machine-learning, high-performance computing, and distributed architectures. You will architect and implement business-critical features, publish cutting-edge research, and mentor a brilliant team of experienced engineers. We operate in spaces that are very large, yet our teams remain small and agile. There is no blueprint. We’re inventing. We’re experimenting. It is a very unique learning culture.
As a senior deep learning compiler engineer on the Neuron team, you will be a thought leader supporting the development of a compiler targeting AWS Inferentia and Trainum. You will be developing and scaling the compiler to handle the world’s largest ML workloads. You will need to be technically capable, credible and curious in your own right as a trusted AWS Neuron engineer, innovating on behalf of our customers. You will leverage your technical communications skill as a hands-on partner to AWS ML services teams and you will be involved in pre-silicon design, bringing new products/features to market, and many other exciting projects. A background in machine learning and AI accelerators is preferred, but not required.
Explore the product and our history!
https://awsdocs-neuron.readthedocs-hosted.com/en/latest/neuron-guide/neuron-cc/index.html
https://aws.amazon.com/machine-learning/neuron/
https://github.com/aws/aws-neuron-sdk
https://www.amazon.science/how-silicon-innovation-became-the-secret-sauce-behind-awss-success
About the team
#1. Inclusive Team Culture
Here at AWS, we embrace our differences. We are committed to furthering our culture of inclusion. We have ten employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We have innovative benefit offerings, and host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences. Amazon’s culture of inclusion is reinforced within our 16 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust.
#2. Work/Life Balance
Our team puts a high value on work-life balance. It isn’t about how many hours you spend at home or at work; it’s about the flow you establish that brings energy to both parts of your life. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment. We offer flexibility in working hours and encourage you to find your own balance between your work and personal lives.
#3. Mentorship & Career Growth
Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we’re building an environment that celebrates knowledge sharing and mentorship. We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded professional and enable them to take on more complex tasks in the future.
We are open to hiring candidates to work out of one of the following locations:
Toronto, ON, CAN
BASIC QUALIFICATIONS
– 3+ years of non-internship professional software development experience
– 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
– Experience programming with at least one software programming language
PREFERRED QUALIFICATIONS
– 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
– Bachelor’s degree in computer science or equivalent
Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, disability, age, or other legally protected status. If you would like to request an accommodation, please notify your Recruiter.
AWS is looking to hire senior compiler engineers for their Neuron team to help optimize the performance of complex neural net models executed on their custom chips, Inferentia and Trainium. The team is dedicated to creating an inclusive culture, promoting work-life balance, and providing mentorship and career growth opportunities. Candidates must have a background in software development and design, with a preference for experience in machine learning and AI accelerators. AWS is committed to diversity and inclusion in the workplace.
Title: Delivery Driver

Company: The Home Depot

Location: Penticton, British Columbia

Salary: $22 per hour

Job Description:

The Home Depot is looking for a reliable and customer-focused Delivery Driver to join our team in Penticton, British Columbia. As a Delivery Driver, you will be responsible for safely and efficiently delivering products to our customers in a timely manner. Responsibilities include loading and unloading delivery vehicles, ensuring the accuracy of orders, and providing exceptional customer service.

Requirements:

– Valid class 5 driver’s license
– Clean driving record
– Ability to lift heavy objects and work in a fast-paced environment
– Strong communication and customer service skills
– Previous delivery experience is an asset

If you are a proactive and detail-oriented individual with a passion for customer service, we encourage you to apply for this exciting opportunity at The Home Depot.

Expected salary:

Job date: Sun, 04 Feb 2024 05:18:48 GMT

Amazon – Neuron Compiler Software Engineer, Annapurna ML – Toronto, ON

Company: Amazon

Location: Toronto, ON

Job description: , etc.) Available for a 14-16 month internship PREFERRED QUALIFICATIONS Proficiency with one or more of the following programming languages… ML frameworks (i.e. PyTorch, TensorFlow, etc.) Available for 14-16month internship Amazon is committed to a diverse…
Amazon is seeking candidates for a 14-16 month internship with preferred qualifications including proficiency in programming languages and machine learning frameworks. They are committed to a diverse workforce.
Automation Engineer

Our client, a leading technology company, is seeking an Automation Engineer to join their team in the Greater Toronto Area. This individual will be responsible for designing, developing, and implementing automation test scripts for various web and mobile applications. The ideal candidate will have a strong understanding of automation frameworks, as well as experience with tools such as Selenium, Appium, and JMeter.

Key Responsibilities:

– Design and develop automation test scripts for both web and mobile applications
– Implement and maintain automated test frameworks
– Collaborate with cross-functional teams to ensure quality and test coverage
– Analyze test results and identify areas for improvement
– Participate in code reviews and provide feedback on testability and automation best practices
– Stay up-to-date on industry trends and advancements in automation testing

Qualifications:

– Bachelor’s degree in Computer Science, Engineering, or related field
– 3+ years of experience in automation testing
– Strong programming skills in languages such as Java, Python, or Ruby
– Experience with automation tools such as Selenium, Appium, and JMeter
– Knowledge of CI/CD pipelines and integration with automation
– Excellent communication and collaboration skills

If you are a passionate Automation Engineer with a strong technical background and a desire to work on cutting-edge technologies, we encourage you to apply. This is an exciting opportunity to join a dynamic team and make a significant impact in the technology industry. Apply now!

Expected salary:

Job date: Sun, 12 Nov 2023 08:19:37 GMT