Company: Thomson Reuters
Location: Toronto, ON
Expected salary:
Job date: Fri, 01 Nov 2024 04:00:05 GMT
Job description: Summary:Are you a curious and open-minded individual interested in programming and machine learning? Thomson Reuters Labs in Toronto is seeking an ML/NLP scientist intern with a passion for problem-solving using state-of-the-art Machine Learning and Natural Language Processing techniques.What does Thomson Reuters Labs do? We experiment, we build, we deliver. We support the organization and our customers through applied research and development of new products and technologies. The Labs innovate collaboratively across our core segments in Legal, Tax & Accounting, Government, and Reuters News. We undertake a diverse portfolio of projects today while investing in long-term research for the future.As an intern, you will be part of a diverse, interdisciplinary global team of experts. We hire specialists in Information Retrieval, Natural Language Processing, and Machine Learning, as well as Engineering and Design to drive the company’s digital and AI transformation. Thomson Reuters Labs is known for consistently delivering successful data-driven Artificial Intelligence solutions in support of high-growth products that serve Thomson Reuters customers in new and exciting ways.This Thomson Reuters Labs team contributes to several major products that serve research and workflow products to tax and accounting professionals. It is the fastest growing segment of our company, in terms of organic revenues. We are looking for internship candidates on the cutting edge of AI to join us in delivering automation to our tax and accounting customers through transformative enhancements to these products.About the role
As a data scientist/research scientist intern, you will:Experiment and Develop: You can be involved in the entire model development lifecycle, building, testing, and delivering high-quality solutions.Collaborate: Working on a collaborative cross-functional team, you will learn from and partner with colleagues across the globe.Innovate: You will have the opportunity to try new approaches and learn new technologies. You will contribute ideas and work on solving real-world challenges.About You:PhD student or MSc recent graduate in a discipline relevant to NLP/IR/ML/Statistics,Practical and relevant experience building NLP/IR/ML systems, from ideation to implementation,Software engineering skills for prototyping,Proficiency in implementing solutions using Python, DL frameworks, and relevant tools,Experience in using code collaboration and versioning systems such as Github,Familiarity with cloud tools such as Amazon AWS, MS Azure, or Google Cloud,Data-driven problem-solving and decision-making mindset,Curious and innovative disposition capable of proposing outside-the-box solutions,Comfortable in communicating (verbal and written) complex AI solutions to audiences with diverse technical backgrounds.Preferred qualifications:Ability to translate academic research into working prototypes and experience experimenting with novel NLP/IR/ML models to solve real-world problems,Familiarity with generative AI and large language models (LLMs),Self-driven attitude and ability to work with limited supervision,Team player and comfortable to collaborate with internal team members and external stakeholders,Comfortable in working in fast-paced, agile environments managing uncertainty and ambiguity,Publications at relevant venues such as ACL, EMNLP, NAACL, NeurIPS, ICLR, SIGIR, KDD, or similar venues are a bonus.The preferred length of an internship position is 8 months.#LI-SSWhat’s in it For You?
You will join our inclusive culture of world-class talent, where we are committed to your personal and professional growth through:Culture: Globally recognized and award-winning reputation for equality, diversity and inclusion, flexibility, work-life balance, and moreSocial Impact: Eight employee-driven Business Resource Groups; Environmental, Social and Governance (ESG) initiatives for local and global impactPurpose-Driven Work: We have a superpower we’ve never talked about with as much pride as we should – we are one of the only companies on the planet that helps its customers pursue justice, truth, and transparency. Together with the professionals and institutions we serve, we help uphold the rule of law, turn the wheels of commerce, catch bad actors, report the facts, and provide trusted, unbiased information to people all over the world.Do you want to be part of a team helping re-invent the way knowledge professionals work? How about a team that works every day to create a more transparent, just and inclusive future? At Thomson Reuters, we’ve been doing just that for almost 160 years. Our industry-leading products and services include highly specialized information-enabled software and tools for legal, tax, accounting and compliance professionals combined with the world’s most global news services – Reuters. We help these professionals do their jobs better, creating more time for them to focus on the things that matter most: advising, advocating, negotiating, governing and informing.We are powered by the talents of 26,000 employees across more than 70 countries, where everyone has a chance to contribute and grow professionally in flexible work environments that celebrate diversity and inclusion. At a time when objectivity, accuracy, fairness and transparency are under attack, we consider it our duty to pursue them. Sound exciting? Join us and help shape the industries that move society forward.AccessibilityAs a global business, we rely on diversity of culture and thought to deliver on our goals. To ensure we can do that, we seek talented, qualified employees in all our operations around the world regardless of race, color, sex/gender, including pregnancy, gender identity and expression, national origin, religion, sexual orientation, disability, age, marital status, citizen status, veteran status, or any other protected classification under applicable law. Thomson Reuters is proud to be an Equal Employment Opportunity/Affirmative Action Employer providing a drug-free workplace.We also make reasonable accommodations for qualified individuals with disabilities and for sincerely held religious beliefs in accordance with applicable law.Protect yourself from fraudulent job postings to know more.More information about Thomson Reuters can be found on .
Machine Learning Engineer – Applied AIGC, TikTok Monetization GenAI – – Vancouver, BC
Thomson Reuters – Applied Research Intern (NLP/ML/GenAI) – Toronto, ON
Company: Thomson Reuters
Location: Toronto, ON
Expected salary:
Job date: Fri, 18 Oct 2024 06:16:18 GMT
Job description: Summary:Are you a curious and open-minded individual interested in programming and machine learning? Thomson Reuters Labs in Toronto is seeking an ML/NLP scientist intern with a passion for problem-solving using state-of-the-art Machine Learning and Natural Language Processing techniques.What does Thomson Reuters Labs do? We experiment, we build, we deliver. We support the organization and our customers through applied research and development of new products and technologies. The Labs innovate collaboratively across our core segments in Legal, Tax & Accounting, Government, and Reuters News. We undertake a diverse portfolio of projects today while investing in long-term research for the future.As an intern, you will be part of a diverse, interdisciplinary global team of experts. We hire specialists in Information Retrieval, Natural Language Processing, and Machine Learning, as well as Engineering and Design to drive the company’s digital and AI transformation. Thomson Reuters Labs is known for consistently delivering successful data-driven Artificial Intelligence solutions in support of high-growth products that serve Thomson Reuters customers in new and exciting ways.This Thomson Reuters Labs team contributes to several major products that serve research and workflow products to tax and accounting professionals. It is the fastest growing segment of our company, in terms of organic revenues. We are looking for internship candidates on the cutting edge of AI to join us in delivering automation to our tax and accounting customers through transformative enhancements to these products.About the role
As a data scientist/research scientist intern, you will:Experiment and Develop: You can be involved in the entire model development lifecycle, building, testing, and delivering high-quality solutions.Collaborate: Working on a collaborative cross-functional team, you will learn from and partner with colleagues across the globe.Innovate: You will have the opportunity to try new approaches and learn new technologies. You will contribute ideas and work on solving real-world challenges.About You:PhD student or MSc recent graduate in a discipline relevant to NLP/IR/ML/Statistics,Practical and relevant experience building NLP/IR/ML systems, from ideation to implementation,Software engineering skills for prototyping,Proficiency in implementing solutions using Python, DL frameworks, and relevant tools,Experience in using code collaboration and versioning systems such as Github,Familiarity with cloud tools such as Amazon AWS, MS Azure, or Google Cloud,Data-driven problem-solving and decision-making mindset,Curious and innovative disposition capable of proposing outside-the-box solutions,Comfortable in communicating (verbal and written) complex AI solutions to audiences with diverse technical backgrounds.Preferred qualifications:Ability to translate academic research into working prototypes and experience experimenting with novel NLP/IR/ML models to solve real-world problems,Familiarity with generative AI and large language models (LLMs),Self-driven attitude and ability to work with limited supervision,Team player and comfortable to collaborate with internal team members and external stakeholders,Comfortable in working in fast-paced, agile environments managing uncertainty and ambiguity,Publications at relevant venues such as ACL, EMNLP, NAACL, NeurIPS, ICLR, SIGIR, KDD, or similar venues are a bonus.The preferred length of an internship position is 8 months.#LI-SSWhat’s in it For You?
You will join our inclusive culture of world-class talent, where we are committed to your personal and professional growth through:Culture: Globally recognized and award-winning reputation for equality, diversity and inclusion, flexibility, work-life balance, and moreSocial Impact: Eight employee-driven Business Resource Groups; Environmental, Social and Governance (ESG) initiatives for local and global impactPurpose-Driven Work: We have a superpower we’ve never talked about with as much pride as we should – we are one of the only companies on the planet that helps its customers pursue justice, truth, and transparency. Together with the professionals and institutions we serve, we help uphold the rule of law, turn the wheels of commerce, catch bad actors, report the facts, and provide trusted, unbiased information to people all over the world.Do you want to be part of a team helping re-invent the way knowledge professionals work? How about a team that works every day to create a more transparent, just and inclusive future? At Thomson Reuters, we’ve been doing just that for almost 160 years. Our industry-leading products and services include highly specialized information-enabled software and tools for legal, tax, accounting and compliance professionals combined with the world’s most global news services – Reuters. We help these professionals do their jobs better, creating more time for them to focus on the things that matter most: advising, advocating, negotiating, governing and informing.We are powered by the talents of 26,000 employees across more than 70 countries, where everyone has a chance to contribute and grow professionally in flexible work environments that celebrate diversity and inclusion. At a time when objectivity, accuracy, fairness and transparency are under attack, we consider it our duty to pursue them. Sound exciting? Join us and help shape the industries that move society forward.AccessibilityAs a global business, we rely on diversity of culture and thought to deliver on our goals. To ensure we can do that, we seek talented, qualified employees in all our operations around the world regardless of race, color, sex/gender, including pregnancy, gender identity and expression, national origin, religion, sexual orientation, disability, age, marital status, citizen status, veteran status, or any other protected classification under applicable law. Thomson Reuters is proud to be an Equal Employment Opportunity/Affirmative Action Employer providing a drug-free workplace.We also make reasonable accommodations for qualified individuals with disabilities and for sincerely held religious beliefs in accordance with applicable law.Protect yourself from fraudulent job postings to know more.More information about Thomson Reuters can be found on .
Thomson Reuters – Applied Research Intern (NLP/ML/GenAI) – Toronto, ON
Company: Thomson Reuters
Location: Toronto, ON
Expected salary:
Job date: Wed, 16 Oct 2024 23:52:21 GMT
Job description: Are you a curious and open-minded individual with an interest in programming and machine learning? Thomson Reuters Labs in Toronto is seeking an applied scientist intern with a passion for problem-solving using state-of-the-art ML/NLP/IR/GenAI techniques.What does Thomson Reuters Labs do? We experiment, we build, we deliver. We support the organization and our customers through applied research and development of new products and technologies. The Labs innovate collaboratively across our core segments in Legal, Tax & Accounting, Government, and Reuters News. We undertake a diverse portfolio of projects today while investing in long-term research for the future.As an intern, you will be part of a diverse and interdisciplinary global team of experts. We hire specialists in ML/NLP/IR/GenAI, as well as Engineering and Design to drive the company’s digital and AI transformation. Thomson Reuters Labs is known for consistently delivering successful data-driven Artificial Intelligence solutions in support of high-growth products that serve Thomson Reuters customers in new and exciting ways.The internship duration at Thomson Reuters Labs is typically up to 6 to 8 months and may be aligned with one or two academic semesters or depending upon your availability.About the roleAs an Applied research intern, you will:Innovate: You can try new ML/NLP/IR/GenAI approaches and learn new technologies. You will contribute ideas and work on solving real-world challenges.Experiment and Develop: You can be involved in the entire model development lifecycle, building, testing, and delivering high-quality solutions.Collaborate: Working on a collaborative cross-functional team, you will learn from and partner with colleagues across the globe.About You:Basic Qualifications:PhD student or MSc recent graduate in a discipline relevant to NLP/ML/IR/Statistics,Practical and relevant experience building NLP/ML/IR/GenAI systems, from ideation to implementation,Software engineering skills for prototyping including:Proficiency in implementing solutions using Python, DL frameworks, and relevant tools,Experience in using code collaboration and versioning systems such as Github,Familiarity with cloud tools such as Amazon AWS, MS Azure, or Google Cloud,Comfortable working with unstructured datasets and are knowledgeable about tools and techniques for data cleaning and processing,Data-driven problem-solving and decision-making mindset,Curious and innovative disposition capable of proposing outside-the-box solutions,Comfortable in communicating (verbal and written) complex AI solutions to audiences with diverse technical backgrounds.Preferred qualifications:Familiarity with attention mechanism and transformer neural networks such as BERT and GPT,Familiarity with generative AI (GenAI) and large language models (LLMs),Familiarity with GenAI supporting technologies such as Prompt Engineering, RAG, Fine-tuning, etc.Publications at relevant venues such as ACL, EMNLP, NAACL, NeurIPS, ICLR, SIGIR, KDD, or similar venues,Ability to translate academic research into working prototypes and experience experimenting with novel NLP/ML/IR models to solve real-world problems,Self-driven attitude and ability to work with limited supervision,Team player and comfortable to collaborate with internal team members and external stakeholders,Comfortable in working in fast-paced, agile environments managing uncertainty and ambiguity.#LI-SSWhat’s in it For You?
You will join our inclusive culture of world-class talent, where we are committed to your personal and professional growth through:Culture: Globally recognized and award-winning reputation for equality, diversity and inclusion, flexibility, work-life balance, and moreSocial Impact: Eight employee-driven Business Resource Groups; Environmental, Social and Governance (ESG) initiatives for local and global impactPurpose-Driven Work: We have a superpower we’ve never talked about with as much pride as we should – we are one of the only companies on the planet that helps its customers pursue justice, truth, and transparency. Together with the professionals and institutions we serve, we help uphold the rule of law, turn the wheels of commerce, catch bad actors, report the facts, and provide trusted, unbiased information to people all over the world.Do you want to be part of a team helping re-invent the way knowledge professionals work? How about a team that works every day to create a more transparent, just and inclusive future? At Thomson Reuters, we’ve been doing just that for almost 160 years. Our industry-leading products and services include highly specialized information-enabled software and tools for legal, tax, accounting and compliance professionals combined with the world’s most global news services – Reuters. We help these professionals do their jobs better, creating more time for them to focus on the things that matter most: advising, advocating, negotiating, governing and informing.We are powered by the talents of 26,000 employees across more than 70 countries, where everyone has a chance to contribute and grow professionally in flexible work environments that celebrate diversity and inclusion. At a time when objectivity, accuracy, fairness and transparency are under attack, we consider it our duty to pursue them. Sound exciting? Join us and help shape the industries that move society forward.AccessibilityAs a global business, we rely on diversity of culture and thought to deliver on our goals. To ensure we can do that, we seek talented, qualified employees in all our operations around the world regardless of race, color, sex/gender, including pregnancy, gender identity and expression, national origin, religion, sexual orientation, disability, age, marital status, citizen status, veteran status, or any other protected classification under applicable law. Thomson Reuters is proud to be an Equal Employment Opportunity/Affirmative Action Employer providing a drug-free workplace.We also make reasonable accommodations for qualified individuals with disabilities and for sincerely held religious beliefs in accordance with applicable law.Protect yourself from fraudulent job postings to know more.More information about Thomson Reuters can be found on .
Senior Applied Scientist, TEAM_Pasquale_DeMaio – Amazon – Vancouver, BC
Amazon – 2025 Applied Science Internship – Canada, PhD Student Science Recruiting – Toronto, ON
Company: Amazon
Location: Toronto, ON
Expected salary:
Job date: Thu, 03 Oct 2024 22:38:35 GMT
Job description: DESCRIPTIONAre you a PhD student interested in machine learning, natural language processing, computer vision, automated reasoning, or robotics? 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 Science Intern, 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.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.To ensure a great internship experience, please keep these things in mind. This is a full time internship and requires an individual to work 40 hours a week for the duration of the internship. Amazon requires an intern to be located where their assigned team is. Amazon is happy to provide relocation and housing assistance if you are located 50 miles or further from the office location.For more information on the Amazon Science community please visit https://www.amazon.science.BASIC QUALIFICATIONS– Are enrolled in a PhD
– Are 18 years of age or older
– Work 40 hours/week minimum and commit to 12 week internship maximum
– Can relocate to where the internship is based
– Experience programming or scripting language like Python, Java, C or C++PREFERRED QUALIFICATIONS– Have publications at top-tier peer-reviewed conferences or journals
– Are enrolled in a academic program that is physically located in CanadaAmazon 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 base salary for this position ranges from $149,300/year up to $249,300/year. Salary is based on a number of factors and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. Applicants should apply via our internal or external career site.
Amazon – 2025 Applied Science Internship – Canada, PhD Student Science Recruiting – Toronto, ON
Company: Amazon
Location: Toronto, ON
Expected salary:
Job date: Tue, 01 Oct 2024 23:43:35 GMT
Job description: DESCRIPTIONAre you a PhD student interested in machine learning, natural language processing, computer vision, automated reasoning, or robotics? 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 Science Intern, 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.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.To ensure a great internship experience, please keep these things in mind. This is a full time internship and requires an individual to work 40 hours a week for the duration of the internship. Amazon requires an intern to be located where their assigned team is. Amazon is happy to provide relocation and housing assistance if you are located 50 miles or further from the office location.For more information on the Amazon Science community please visit https://www.amazon.science.BASIC QUALIFICATIONS– Are enrolled in a PhD
– Are 18 years of age or older
– Work 40 hours/week minimum and commit to 12 week internship maximum
– Can relocate to where the internship is based
– Experience programming or scripting language like Python, Java, C or C++PREFERRED QUALIFICATIONS– Have publications at top-tier peer-reviewed conferences or journals
– Are enrolled in a academic program that is physically located in CanadaAmazon 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 base salary for this position ranges from $149,300/year up to $249,300/year. Salary is based on a number of factors and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. Applicants should apply via our internal or external career site.
Sr. Web Development Specialist – Applied Systems Canada – Toronto, ON
Company: Applied Systems Canada
Location: Toronto, ON
Expected salary:
Job date: Wed, 25 Sep 2024 07:52:28 GMT
Job description: Job Overview:Applied Systems, Inc., a worldwide leader in insurance technology, is currently searching for a searching for a knowledgeable and talented Sr. Web Development Specialist to join our Digital Marketing team.This is a fantastic opportunity to join a creative team with a focus on growth. You will own the development, management, and optimization of the underlying code base and technology architecture of Applied Systems’ global suite of websites and digital properties.You will also partner closely with key stakeholders across the Marketing department to communicate technical requirements, provide reviews and status updates on key projects, contribute to coding best practices and documentation, and ensure a seamless and engaging user experience across all global web properties white ensuring compliance with regulatory mandates.What You’ll DoOptimization and Maintenance:
- End-to-end website management, including the development of new functionality and ongoing maintenance and support across marketing websites for the Applied Systems family of brands.
- Ensure technical optimization of website through best practice architecture and page load speed optimization.
- Ensure websites maintain appropriate levels of privacy control and accessibility standards.
- Work closely with internal Security team to audit and maintain web security standards and best practices. Conducts monthly audits using various tools to ensure code meets various standards.
- Provide research and recommendations for new features across web properties.
- Work directly with DXP Vendor (Optimizely) on support requests, as well as platform upgrades and product roadmap reviews.
- Provide occasional off-hours support of websites, including website updates and migrations, domain transfers and security fixes.
Program Organization:
- Be responsible for weekly sprint planning and weekly production code pushes
- Accept and triages inbound web-related issues and errors.
- Participate in the development and implementation of new business processes that improve efficiency and enhance productivity.
- Ensure best practices are upheld for web development, including documentation.
Collaboration and Communication:
- Communicate new features/functionality to the larger Marketing team.
- Collaborate closely with Design team on the implementation of designs, UX review and usability testing.
- Translate website requests into technical requirements.
- Assist with development and support of a Junior Developer
Quality Control:
- Maintain a high integrity of quality assurance by developing processes and documentation, training supporting stakeholders if needed.
What You’ll Need to SucceedWe’re looking for someone who:
- Can work hybrid from our Toronto office (1 day per week).
- Has a Bachelors Degree in Computer Science, Web Development (or similar education).
Your experience should include some or all of the following:
- Minimum 5 years of experience in HTML, CSS/SASS, JavaScript, .NET and C# / XML / JSON or DXP systems (Optimizely, Adobe, Sitecore, WordPress, Drupal, etc).
- Demonstrated experience in the following areas:
- Version Control Software & Tools (Git, GitHub, GitKraken preferred).
- Google Tag Manager.
- WCAG guidelines and web accessibility best practices.
- Creative & wireframing tools (Adobe Creative Suite, Figma, etc)
- Analytics and Optimization tools (Google Analytics, Siteimprove, etc).
- Working with key stakeholders across teams/departments to define technical requirements and successfully launch projects on time.
- Cross-browser testing and cross-platform compatibility, including experience with QA & testing tools (Browser Stack, etc).
- Developing a responsive, mobile-first user experience.
- Quick mastery of existing applications and their maintenance, as well as recommend ways to continually improve.
- The ability to clearly communicate technical details and collaborate well with non-technical staff to understand business needs and project requirements.
- Strong problem-solving skills and demonstrated ability to troubleshoot code.
- Be up-to-date with latest trends, techniques, best-practices and technologies.
- We proudly support and encourage people with military experience, as well as military spouses, to apply
What You’ll GainBenefits from Day One
- Health insurance plans, dental, and vision
- Wellness incentives
- 401(k) and/or RRSP retirement savings plans with employer match
Work-Life Balance
- Competitive paid vacation time and a free day for your birthday
- Personal/sick time
- Paid holidays
- Flex Time
- Paid parental leave (U.S. candidates)
- Volunteer time off
Empowering Career Growth and Success – We invest in talent, care about our people and are empowered by the results of our work. We grow our teams from within and give our employees opportunities to advance.What We ValueWe strive for excellence at every turn to be the best at what we do. We invest in talent, care about our people and are empowered by the results of our work. We fulfil the promise of insurance – safeguarding and protecting what matters most in people’s lives. And there is no more important job than that.Our focus on the workforce, workplace and marketplace gives us a qualified individual in an environment in which they can be productive while we maintain our position in the industry. To help drive that change toward a vibrant, modern workplace, we have employee-driven networks with commonalities in ethnicity, gender, sexual orientation and military status.Who We AreFor 40 years, Applied Systems has created innovative technology for the global insurance industry. Today, we are a rapidly growing software leader that is revolutionizing the way agencies and brokerages succeed.We are smart and curious people in a tech-first environment that champions bold and powerful thinking. We are transforming a complex industry through digitization, automation, and innovative new partnerships. Together we are driving the industry fearlessly forward.It’s an exciting time at Applied. You can do big things here, in an environment that supports creative thinking and bold ideas. Visit for more information on how you can challenge what’s possible.EEO StatementApplied Systems is proud to be an Equal Employment Opportunity and Affirmative Action Employer. Diversity and Inclusion is a business imperative and is a part of building our brand and reputation. At Applied, we don’t discriminate, and we are committed to recruit, develop, retain, and promote regardless of race, religion, color, national origin, sexual orientation, gender identity, disability, age, veteran status, and other protected status as required by applicable law.#LI-Remote
Applied Systems, Inc. is seeking a Sr. Web Development Specialist to join their Digital Marketing team. The role involves managing and optimizing the company’s websites, collaborating with stakeholders, and ensuring a seamless user experience. The ideal candidate should have a degree in Computer Science, experience in web development technologies, and strong communication skills. The company offers benefits like health insurance, retirement plans, and paid time off, and emphasizes diversity and inclusion in the workplace. Applied Systems is a leader in insurance technology, offering a dynamic work environment that encourages creativity and innovation.
Applied Scientist, Collaborative Intelligence Tech – Amazon – Vancouver, BC
2024 Fall (Sept-Dec) | Sessional Instructional Assistant | RSM1380H L0101 | Applied Management – University of Toronto – Toronto, ON
Company: University of Toronto
Location: Toronto, ON
Job description: Date Posted – July 11, 2024
Req ID: 38643Faculty/Division: School of Management
Department: School of Management
Campus: St. George (Downtown) Description:a) Assist in grading assignments; b) proctoring final exam; c) invigilate tests and exams as required; d) holds tutorials and office hours; e) other duties as assigned.Qualification: MBA graduate who completed an internship, graduated in 2024 and has not confirmed a full time role. Previous experience is the more relevant criterion than the need to acquire experience in respect of this posted position.Class Schedule: Courses may be online or in-person depending on the circumstances, so candidates must be available and comfortable with both.
Sessional Dates of appointment :September 1, 2024 to December 31, 2024Salary:The minimum hourly rate shall be:September 1, 2020 $46.92 plus 4% vacation paySeptember 1, 2021 $48.79 plus 4% vacation paySeptember 1, 2022 $50.74 plus 4% vacation paySeptember 1, 2023 $52.26 plus 4% vacation payNotes:This job is posted in accordance with the CUPE 3902 Unit 3 Collective Agreement.Preference in hiring is given to qualified individuals advanced to the rank of Sessional Lecturer II or Sessional Lecturer III in accordance with Article 14:12 of the CUPE 3902 Unit 3 collective agreement.Please note: Undergraduate or graduate students and postdoctoral fellows of the University of Toronto are covered by the CUPE 3902 Unit 1 collective agreement rather than the Unit 3 collective agreement, and should not apply for positions posted under the Unit 3 collective agreement.It is understood that some announcements of vacancies are tentative, pending final course determinations and enrolment.PoliciesThe University of Toronto is strongly committed to diversity within its community and especially welcomes applications from racialized persons / persons of colour, women, Indigenous / Aboriginal People of North America, persons with disabilities, LGBTQ2S+ persons, and others who may contribute to the further diversification of ideas.Candidates who are members of Indigenous, Black, racialized and LGBTQ2S+ communities, persons with disabilities, and other equity seeking groups are encouraged to apply, and their lived experience shall be taken into consideration as applicable to the position.The University of Toronto invites all qualified applicants to make application.The University strives to be an equitable and inclusive community, and proactively seeks to increase diversity among its community members. Our values regarding equity and diversity are linked with our unwavering commitment to excellence in the pursuit of our academic mission. The University is committed to the principles of the Accessibility for Ontarians with Disabilities Act (AODA). As such, we strive to make our recruitment, assessment and selection processes as accessible as possible and provide accommodations as required for applicants with disabilities. If you require any accommodations at any point during the application and hiring process, please contact uoft.careers@utoronto.ca. During employment, to request accommodation from the University, contact the supervisor or department chair and/or Health & Wellbeing Programs & Services at hwb@utoronto.ca. For more information about accommodations at U of T, please visit our Accommodation webpage.All jobs are posted in accordance with the CUPE 3902 Unit 1 Collective Agreement. It is understood that some announcements of vacancies are tentative, pending final course determinations and enrollment.Duties of this position shall be performed at the campus on which the position is located. Where the duties are intended to be performed at another location, such other location will be specified in the posting.Positions posted here are open to Graduate Students in the School of Graduate Studies, Postdoctoral Fellows and Undergraduate Students in the University of Toronto.Preference in hiring shall be given to Graduate Students enrolled in the School of Graduate Studies of the University of Toronto or those who have made application to be enrolled in the School of Graduate Studies of the University of Toronto.The hiring criteria for Teaching Assistant positions are academic qualifications, the need to acquire experience, previous experience, and previous satisfactory employment under the provisions of this collective agreement.Application Procedure:For detailed information on the application procedure go to http:
Applications for EACH course must be accompanied by a current resume and application form. Please use the space provided to briefly outline why you are applying to this course.Please direct any questions regarding the application process to . Applications will not be accepted at this email address.To apply for this position, you must be . Please visit the U of T website to if you do not have one.
The School of Management at the University of Toronto is seeking a Sessional Lecturer for the Fall 2024 semester. The position involves grading assignments, proctoring exams, holding tutorials, and other duties as assigned. The ideal candidate is an MBA graduate with relevant experience. The position pays an hourly rate in accordance with the CUPE 3902 Unit 3 Collective Agreement. The University is committed to diversity and encourages applications from marginalized communities. Applicants must follow the application procedure outlined on the University website.
Job Description
We are seeking a motivated and detail-oriented candidate to join our team as a Data Entry Clerk. The ideal candidate will have strong organizational and communication skills, as well as the ability to work independently and as part of a team.
Responsibilities:
– Enter and update data in our proprietary database system
– Review and verify data for accuracy
– Maintain confidentiality of all information
– Communicate effectively with team members and management
– Assist with other administrative tasks as needed
Qualifications:
– High school diploma or equivalent
– Previous data entry experience preferred
– Strong attention to detail
– Excellent communication skills
– Ability to prioritize and multitask effectively
If you are a self-starter who is eager to learn and grow within a fast-paced environment, we encourage you to apply for this position. Join our team and make a difference!
Expected salary:
Job date: Thu, 25 Jul 2024 22:05:45 GMT