AMCS – Machine Learning Engineering Intern – Ottawa, ON

Company: AMCS

Location: Ottawa, ON

Expected salary:

Job date: Sun, 08 Dec 2024 02:25:43 GMT

Job description: Sustainability that means businessWho we are:Sustainability software specialist, AMCS, is headquartered in Ireland, with offices in Europe, the USA, and Australasia. With over 1,300 highly-skilled employees across 22 countries, we specialize in delivering technology solutions to facilitate a carbon neutral future.What we do:Our innovative SaaS solutions increase efficiency and boost sustainability in resource-intensive industries. Over 5,000 customers across 23 countries already benefit from our Performance Sustainability software, ensuring we deliver practical solutions for improved profitability and environmental resilience across the globe.Our peopleAMCS offers team members more than just a job, but an opportunity to map out a career with a company that is growing, evolving and setting out new ways of working that are having a positive impact on the world around us. AMCS was established in Ireland and holds onto those local roots and ‘start-up’ mentality with a culture of connection. Connection to our work, our customers, our colleagues and our community that creates a working environment that fosters openness, collaboration and creativity.As a Machine Learning Engineering Intern, you will contribute to the design, development, and deployment of machine learning models and data pipelines. You’ll support the team in data preparation, model training, and evaluation, while learning best practices for ML in production. This is a great opportunity for someone eager to learn about ML workflows, data engineering, and software development in an industry setting.Responsibilities:Assist in data cleaning, preprocessing, and exploratory data analysis to prepare data for model training.Develop, train, and fine-tune machine learning models using frameworks/tools like Python/PySpark, Python, TensorFlow, PyTorch, and Scikit-Learn on Azure DatabricksBuild, maintain, and optimize data pipelines for seamless data flow and model integration Azure Databricks using PySpark/Python and Spark SQLImplement and evaluate ML models, tracking performance and refining based on feedback.Collaborate with team members to integrate models into production environments.Document processes, code, and findings, contributing to team knowledge sharing.Stay current with the latest ML trends and research to support ongoing projects.Requirements:Currently pursuing a bachelor’s degree (final year), Master’s, or PhD in Computer Science, Data Science, Engineering, or a related fieldHands-on experience with ML frameworks (TensorFlow, PyTorch, or Scikit-Learn)Understanding of fundamental machine learning and deep learning concepts, algorithms, and data structuresFamiliarity with Large Language Models (LLMs) and attention-based modelsExperience with building, managing, and optimizing data pipelines.Strong analytical skills and problem-solving abilitiesExcellent communication and teamwork skills
Nice-to-Have:Experience with Databricks, PySpark, Spark SQL, and Apache SparkFamiliarity with MLOps best practicesProficiency with Power BI for data visualizationExperience with development of Retrieval-Augmented Generation (RAG) modelsFamiliarity with LlamaIndex and LangChain for building LLM-powered applications.
What You’ll Gain:Hands-on experience in real-world machine learning projects and data pipeline developmentMentorship and support from industry professionalsExposure to cutting-edge platforms and technologies

Clio – Senior Machine Learning Engineer – Toronto, ON

Company: Clio

Location: Toronto, ON

Expected salary:

Job date: Sun, 05 Jan 2025 07:40:16 GMT

Job description: is more than just a tech company–we are a global leader that is transforming the legal experience for all by while .Summary:We are currently seeking a Senior Machine Learning Engineer to join our rapidly growing engineering team. This role is for someone who is passionate about building innovative solutions and being exposed to new challenges and technologies while making an impact. This role is available to candidates across Canada and the US.What your team does:At Clio, we are proud to have an exceptional team dedicated to transforming the legal experience for all. Within our engineering department, our mission is to deliver outstanding solutions that empower and delight our customers. The AI team leverages cutting-edge advancements in Natural Language Processing (NLP) and Generative AI (GenAI) to develop innovative tools that streamline workflows, enhance efficiency, and enable legal professionals to focus on what matters most—their clients.A day in the life might look like:Develop advanced machine learning models using structured and unstructured data to improve Clio’s customer’s experienceCreate LLMs based solutions to help Clio’s clients to save time and create efficienciesCollaborate cross-functionally with engineering, product management, operations and data science to identify new ML-driven features for Clio customersWork in an agile environment with our team of machine learning engineers, MLOps engineering and full stack developers across a variety of projectsWhat you may have:Hands-on experience in model development, particularly with traditional machine learning, NLP, and transformer-based models;Proficiency in data manipulation, cleaning, and preprocessing for complex unstructured datasets;Experience working with open-source LLM foundation models and APIs for commercial LLMs, such as ChatGPT or Gemini;A proven ability to quickly learn new technologies and adapt to a dynamic, fast-paced environment with distributed teams and customers;A portfolio of past projects showcasing your successes, challenges, and growth as a machine learning expert;Exceptional communication skills and the ability to build trust with both internal teams and external customers;Demonstrated success in mentorship in software development, particularly using an Agile process and with large scale SaaS products;A strong desire to continuously learn, challenge yourself, and refine your craft as a machine learning engineer.​#LI-RemoteWhat you will find here:Compensation is one of the main components of Clio’s Total Rewards Program. We have developed a series of programs and processes to ensure we are creating fair and competitive pay practices that form the foundation of our human and high-performing culture.Some highlights of our Total Rewards program include:Competitive, equitable salary with top-tier health benefits, dental, and vision insuranceHybrid work environment, with expectation for local Clions (Vancouver, Calgary, Toronto, and Dublin) to be in office min. once per week on our Anchor Day.Flexible time off policy, with an encouraged 20 days off per year.$2000 annual counseling benefitRRSP matching and RESP contributionClioversary recognition program with special acknowledgement at 3, 5, 7, and 10 years​The full salary range* for this role is $144,900 to $170,500 to $196,100 CAD.Please note there are a separate set of salary bands for other regions based on local currency.*We aim to hire all candidates between the minimum and the midpoint of the full salary range. We reserve the midpoint to the maximum of the salary band for internal employees who demonstrate sustained high performance and impact at Clio. The final offer amount for this role will be dependent on individual experience and skillset of the candidate. Please note there are a separate set of salary bands for other regions based on local currency.Diversity, Inclusion, Belonging and Equity (DIBE) & AccessibilityOur team shows up as their authentic selves, and are united by our mission. We are dedicated to . We pride ourselves in building and fostering an environment where our teams feel included, valued, and enabled to do the best work of their careers, wherever they choose to log in from. We believe that different perspectives, skills, backgrounds, and experiences result in higher-performing teams and better innovation. We are committed to equal employment and we encourage candidates from all backgrounds to apply.Clio provides accessibility accommodations during the recruitment process. Should you require any accommodation, please let us know and we will work with you to meet your needs.Learn more about our culture at

AMCS – Machine Learning Engineering Intern – Ottawa, ON

Company: AMCS

Location: Ottawa, ON

Expected salary:

Job date: Sat, 07 Dec 2024 23:58:00 GMT

Job description: Sustainability that means businessWho we are:Sustainability software specialist, AMCS, is headquartered in Ireland, with offices in Europe, the USA, and Australasia. With over 1,300 highly-skilled employees across 22 countries, we specialize in delivering technology solutions to facilitate a carbon neutral future.What we do:Our innovative SaaS solutions increase efficiency and boost sustainability in resource-intensive industries. Over 5,000 customers across 23 countries already benefit from our Performance Sustainability software, ensuring we deliver practical solutions for improved profitability and environmental resilience across the globe.Our peopleAMCS offers team members more than just a job, but an opportunity to map out a career with a company that is growing, evolving and setting out new ways of working that are having a positive impact on the world around us. AMCS was established in Ireland and holds onto those local roots and ‘start-up’ mentality with a culture of connection. Connection to our work, our customers, our colleagues and our community that creates a working environment that fosters openness, collaboration and creativity.As a Machine Learning Engineering Intern, you will contribute to the design, development, and deployment of machine learning models and data pipelines. You’ll support the team in data preparation, model training, and evaluation, while learning best practices for ML in production. This is a great opportunity for someone eager to learn about ML workflows, data engineering, and software development in an industry setting.Responsibilities:Assist in data cleaning, preprocessing, and exploratory data analysis to prepare data for model training.Develop, train, and fine-tune machine learning models using frameworks/tools like Python/PySpark, Python, TensorFlow, PyTorch, and Scikit-Learn on Azure DatabricksBuild, maintain, and optimize data pipelines for seamless data flow and model integration Azure Databricks using PySpark/Python and Spark SQLImplement and evaluate ML models, tracking performance and refining based on feedback.Collaborate with team members to integrate models into production environments.Document processes, code, and findings, contributing to team knowledge sharing.Stay current with the latest ML trends and research to support ongoing projects.Requirements:Currently pursuing a bachelor’s degree (final year), Master’s, or PhD in Computer Science, Data Science, Engineering, or a related fieldHands-on experience with ML frameworks (TensorFlow, PyTorch, or Scikit-Learn)Understanding of fundamental machine learning and deep learning concepts, algorithms, and data structuresFamiliarity with Large Language Models (LLMs) and attention-based modelsExperience with building, managing, and optimizing data pipelines.Strong analytical skills and problem-solving abilitiesExcellent communication and teamwork skillsNice-to-Have:Experience with Databricks, PySpark, Spark SQL, and Apache SparkFamiliarity with MLOps best practicesProficiency with Power BI for data visualizationExperience with development of Retrieval-Augmented Generation (RAG) modelsFamiliarity with LlamaIndex and LangChain for building LLM-powered applications.What You’ll Gain:Hands-on experience in real-world machine learning projects and data pipeline developmentMentorship and support from industry professionalsExposure to cutting-edge platforms and technologies

Autodesk – Intern, Machine Learning Research – Toronto, ON

Company: Autodesk

Location: Toronto, ON

Expected salary:

Job date: Fri, 06 Dec 2024 07:35:32 GMT

Job description: Job Requisition ID #24WD84124Position OverviewWe are seeking a highly motivated Machine Learning Research Intern to
join our team. This role focuses on advancing the capabilities of large
language models (LLMs), vision-language models (VLMs), and their
applications in reasoning tasks.We offer a dynamic and supportive research environment, and the
opportunity to work on cutting-edge technologies. If you are passionate
about this field and are looking for an exciting opportunity to advance your
research career, we encourage you to apply for this positionAs part of this role, you will contribute to the development of algorithms
that enhance reasoning in multi-modal AI systems, with a focus on fine-
tuning LLMs and VLMs, exploring reasoning frameworks, and utilizing
synthetic data for model training.ResponsibilitiesConduct research and experiments to enhance reasoning capabilities inLLMs and VLMsDevelop and fine-tune multi-modal AI models for tasks requiring sophisticated reasoningExplore and implement synthetic data generation techniques to supporttraining pipelinesPublish findings in leading machine learning and AI journals and conferencesAdvocate for cutting-edge AI technologies and contribute to the team’s technical strategyMinimum QualificationsA PhD (or equivalent experience) in machine learning, AI, or a related fieldA strong publication record in machine learning, reasoning, or multi-modal AIStrong expertise in LLMs, VLMs, and physicsProven experience in fine-tuning large models and working with multi-modal dataProficiency with modern ML frameworks (e.g., PyTorch, JAX) and programming languages such as PythonExcellent problem-solving and communication skillsLearn MoreAbout Autodesk
Welcome to Autodesk! Amazing things are created every day with our software – from the greenest buildings and cleanest cars to the smartest factories and biggest hit movies. We help innovators turn their ideas into reality, transforming not only how things are made, but what can be made.We take great pride in our culture here at Autodesk – our Culture Code is at the core of everything we do. Our values and ways of working help our people thrive and realize their potential, which leads to even better outcomes for our customers.When you’re an Autodesker, you can be your whole, authentic self and do meaningful work that helps build a better future for all. Ready to shape the world and your future? Join us!Salary transparencySalary is one part of Autodesk’s competitive compensation package. Offers are based on the candidate’s experience, educational level, and geographic location.Diversity & Belonging
We take pride in cultivating a culture of belonging and an equitable workplace where everyone can thrive. Learn more here:

Machine Learning Software Project Manager – Robert Half – Vancouver, BC

Company: Robert Half

Location: Vancouver, BC

Job description: Job Description: Are you an experienced software project manager looking for your next great career move…. This is a full-time software project manager role with an established software products company in Vancouver. In this role, you’ll…
be responsible for managing the development and implementation of software projects, including planning, monitoring progress, and ensuring deliverables are on time and within budget. You will work closely with cross-functional teams and stakeholders to drive project success and ensure client satisfaction. The ideal candidate will have strong communication and leadership skills, a solid understanding of software development processes, and a proven track record of successful project management. This is an exciting opportunity for a dynamic individual looking to advance their career in the software industry.
Title: Full Stack Web Developer
Location: Toronto, ON
Salary: Competitive

Our client, a leading technology firm, is looking for a talented Full Stack Web Developer to join their team in Toronto, ON. As a Full Stack Web Developer, you will be responsible for developing and maintaining web applications, collaborating with cross-functional teams, and implementing new features.

Responsibilities:
– Develop and maintain web applications using modern technologies
– Collaborate with cross-functional teams to define, design, and ship new features
– Design, develop, test, deploy, maintain, and improve software
– Write clean, maintainable, and efficient code
– Troubleshoot and debug applications
– Stay up-to-date with industry trends and technologies

Requirements:
– Bachelor’s degree in Computer Science or related field
– 3+ years of experience as a Full Stack Web Developer
– Strong proficiency with front-end and back-end technologies (JavaScript, HTML, CSS, Node.js, React)
– Experience with databases (SQL, MongoDB)
– Knowledge of DevOps tools and processes
– Strong problem-solving skills and attention to detail
– Excellent communication and teamwork skills

If you are a passionate Full Stack Web Developer looking to join a dynamic team in Toronto, ON, apply now!

Expected salary: $120000 – 150000 per year

Job date: Fri, 06 Dec 2024 00:28:02 GMT

Kwik Lok – Day Shift Slitting Machine Operator – Cambridge, ON

Company: Kwik Lok

Location: Cambridge, ON

Expected salary:

Job date: Wed, 27 Nov 2024 23:15:45 GMT

Job description: SLITTING MACHINE OPERATORCOMPANY OVERVIEWKwik Lok has been producing a product that most of us have depended on our entire lives – the clip that closes your produce and loaves of bread to keep it fresh! Kwik Lok is an innovation and engineering organization focused on sustainability. We are in the business of “hacking the package” – innovating clever advantages in packaging to get food to the table faster, fresher, and safer while reducing waste. Kwik Lok is a 3rd generation, family-owned company headquartered in Yakima, WA with 8 offices and 6 plants worldwide. We are a mid-size company delivering our products to almost 100 countries.We know that people are looking for jobs that are a better fit in their lives right now. Here are a few pieces of information that might help you decide whether Kwik Lok is a good fit for you:

  • Inclusive culture: Kwik Lok is committed to fostering, cultivating, and preserving a culture of diversity and inclusion to increase the success of our employees and customers. We want every person to feel part of the team! Our team members come from a variety of backgrounds, and we see value in learning from each other’s different perspectives.
  • Innovation: Our goal is to create an environment where employees can be curious and express ideas to identify new and better solutions. We want every employee to be engaged in improving our workplace and work processes. Innovation isn’t just for engineers!
  • Meaningful work: We know that every job has things you’ll love doing and things you’ll love less. Our goal is to engage our employees in our vision for the company and provide them with meaningful work where they can learn, grow, and be part of solutions that improve the lives of our customers and their communities while protecting the health of our planet. No matter what your job entails, we want you to know that what you do makes a difference.
  • Impacting the community and environment: Kwik Lok takes corporate social responsibility seriously, and we appreciate that our position in the industry gives us the ability to help do good in so many areas. We are committed to providing educational and economic opportunity, improving well-being, fostering innovation, and protecting the planet. You can read our most recent Sustainability Report on our website.
  • Work-life balance: At Kwik Lok, we know that in order for you to be your best at work, you need time to recharge as well. Whenever possible, we offer flexibility in start/stop times and even opportunities for remote work. We want you to be energized at work, and when the day is done, we want you to go home and enjoy your personal life!

ROLE OVERVIEWWe are currently seeking energetic and highly motivated individuals to join our team in our Cambridge, Ontario production facility. If you are a self-driven, detail-oriented individual with a strong work history, high work ethic and you are someone who likes working in a fun & fast-paced environment, then we are looking for you! The Slitting Machine Operator position supports Kwik Lok production activities through the manufacture of Kwik Lok closures with a focus on continuing improvement of quality, food safety, and manufacturing processes.POSITION RESPONSIBILITIES AND RESULTSGeneral

  • Run orders as assigned by Production Management in the proper sequence
  • Follow all company established food safety and quality guidelines and procedures
  • Monitor product and packaging materials to ensure cleanliness of finished product and food safety for our customers
  • Ensure the quality of product through constant monitoring, regarding color, thickness of material, and free of any defects
  • Stock and clean assigned work area daily to ensure a clean and safe work environment for teammates on the following shift, and integrity/safety of our finished product
  • Monitor the production area to ensure all personnel in the area are authorized to be there, report anything suspicious or anyone without a badge. Immediately, ask the person without a proper badge if they are supposed to be in the building and if they have signed in
  • Additional functions as assigned and needed for the good of the organization

Slitting

  • Safely operate material slitting equipment in the manufacturing of slit plastic rolls from Master Rolls
  • Maintain slitting production schedule to support Die Cut production orders and schedule needs
  • Ensure the quality of product through constant monitoring regarding color, thickness of material, and free of any defects
  • Verify Master Roll control numbers used are following FIFO guideline of first in/first out, using oldest Master Roll material first
  • Assist with operating granulator, recycling production and extrusion waste into regrind material for use in extrusion as required
  • Enter Master Roll serial number into ERP system to be applied to slit rolls, providing traceability of product throughout the entire manufacturing process
  • Clean assigned work area daily to ensure clean work environment
  • Follow all company established food safety and quality guidelines and procedures
  • Additional functions as assigned and needed for the good of the organization

REQUIRED QUALIFICATIONS

  • Ability to frequently lift 40 lbs.
  • Occasionally bends, squats, reaches, and kneels
  • Regularly sits, stands, and walks
  • Constantly hearing, seeing, and attention to details
  • Must be legally authorized to work in Canada without sponsorship

KEY SKILLS AND ATTRIBUTES

  • Self-motivated, innovative, takes ownership of position
  • Forklift experience is an asset
  • Good work ethic
  • Team player, works well with co-workers and able to take direction from management
  • Strives for continual improvement
  • Seeks and accepts feedback for personal development

ALL THE DETAILS…

  • Hourly: $22.55 per hour starting rate
  • Medical, Dental, Vision, Prescription, and Life Insurance plans (after probationary period)
  • Contribution to RRSP program by the company (after probationary period)
  • Schedule: Monday – Thursday 6:30am – 5:00pm
  • Location: Cambridge, Ontario
  • Work Environment: Manufacturing facility – noise level 85-95 dB, lifting to 40 lbs., intermittent physical activity

To learn more about Kwik Lok, visit www.kwiklok.com.Kwik Lok is an Equal Employment Opportunity (EEO) employer. We strongly encourage people from underrepresented groups to apply. We value a diverse workforce and provides equal opportunities to all employees and qualified applicants without regard to race, color, religion, national origin, gender identity, sexual orientation, age, disability, marital status, genetic information, or status as a veteran. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

Qualcomm – FY25 Intern – Mickey Aleksic CAN – Machine Learning Systems Engineering Internship – Canada (16 months) – Markham, ON

Company: Qualcomm

Location: Markham, ON

Expected salary:

Job date: Thu, 05 Dec 2024 05:44:10 GMT

Job description: Job Description:Company: Qualcomm Canada ULCJob Area: Interns Group, Interns Group
Interim Engineering Intern – SystemsQualcomm Overview:Qualcomm is a company of inventors that unlocked 5G ushering in an age of rapid acceleration in connectivity and new possibilities that will transform industries, create jobs, and enrich lives. But this is just the beginning. It takes inventive minds with diverse skills, backgrounds, and cultures to transform 5Gs potential into world-changing technologies and products. This is the Invention Age – and this is where you come in.General Summary:Before there were smartphones or smart cities, before autonomous cars or 360° virtual reality videos, there was our technology. Headquartered in San Diego, for over 30 years Qualcomm inventions have inspired others to make the impossible, possible. From 5G to artificial intelligence, from IoT to automotive and extended reality applications, Qualcomm is inventing the technologies of an intelligently connected future, spearheading research efforts for the next global wireless standard, and collaborating with industry leaders in the wireless value chain to make this future a commercial reality.As an Intern on the Qualcomm Machine Learning Systems Team, you will work closely with machine learning software and hardware performance architecture teams working to create and improve ML compilers for Qualcomm chips. The team also creates, deploys, and uses performance-driven simulation components for analysis and design of ML FW, SW and HW. This opportunity will utilize and strengthen the candidates’ SW and HW knowledge skill set. KEY RESPONSIBILITIES: 1. Compile neural networks to Qualcomm hardware, analyze results and prototype algorithms to improve compilers and/or HW. 2. Create simulation models using Python, C, C++ to analyze the performance of neural networks on Qualcomm hardware. 3. Run, debug, and analyze performance simulations and suggest enhancements to Qualcomm software and hardware to tackle bottlenecks due to computing and system memory hierarchy.4. Improve Qualcomm’s compiler stack so that ML/AI models run faster and more efficiently on our ML/AI accelerator.Programming Languages:· C/C++· PythonMinimum Qualification:· Python or C++· Detail-oriented with strong analytical and debugging skillsPreferred Qualifications:· Effective communication skills (written and verbal)· Strong knowledge of Python and/or C/C++ is a strong asset· Strong object-oriented design principles are an asset· Knowledge of software processes (revision control, continuous integration, etc.)· Knowledge in one or more of the following disciplines is preferred: machine learning APIs, convolutional neural networks, large language models, AI accelerator architecture· Working knowledge of digital circuits and event-driven simulators is an assetEducational Requirements:· In study towards a Bachelors in the following: Electrical or Computer Engineering, Computer Science, Mathematics, Engineering Science, Engineering Physics, System Design Engineering, or a related multi-disciplinary field· Must be available for at least 12 months. 16 months is strongly preferred.· A transcript is required. Please make sure you upload one.Applicants: Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail or call Qualcomm’s toll-free number found . Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities.Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law.To all Staffing and Recruiting Agencies: Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications.If you would like more information about this role, please contact .