Five or more years building Deep Learning or Machine Learning models in production environments ... engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data ...
Five or more years building Deep Learning or Machine Learning models in production environments ... engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data ...
We are looking for a motivated and passionate Machine Learning Engineers for our team. As part of this job, you will be responsible for: * Providing solutions for the deployment, execution ...
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We are looking for a motivated and passionate Machine Learning Engineers for our team. As part of this job, you will be responsible for: * Providing solutions for the deployment, execution ...
Senior Machine Learning Engineer
Toronto, ON · On-site
CA$84K - CA$128K/yr
Advanced programming skills in Python, with practical experience using popular machine learning libraries such as scikit-learn, TensorFlow, and/or PyTorch. Capable of building, tuning, and deploying ...
Senior Machine Learning Engineer
Toronto, ON · On-site
CA$84K - CA$128K/yr
Advanced programming skills in Python, with practical experience using popular machine learning libraries such as scikit-learn, TensorFlow, and/or PyTorch. Capable of building, tuning, and deploying ...
Principal Machine Learning Engineer
Toronto, ON · On-site +1
As aPrincipal Machine Learning Engineer, you will operate at the intersection of AEC data, machine learning and exploratory analysis. This role goes beyond traditional model development; you will ...
Principal Machine Learning Engineer
Toronto, ON · On-site +1
As aPrincipal Machine Learning Engineer, you will operate at the intersection of AEC data, machine learning and exploratory analysis. This role goes beyond traditional model development; you will ...
Machine Learning Engineer, Supportability
Toronto, ON · On-site +1
What you'll do As a Machine Learning Engineer in Supportability, you will be responsible for designing, building, training, evaluating, deploying, and owning AI/ML models in production. You will work ...
Machine Learning Engineer, Supportability
Toronto, ON · On-site +1
What you'll do As a Machine Learning Engineer in Supportability, you will be responsible for designing, building, training, evaluating, deploying, and owning AI/ML models in production. You will work ...
Machine Learning - Master-Level Internship
Etobicoke, ON · On-site +1
$32/hr
As a Machine Learning Intern, you will work closely with our data scientists and engineers to develop, train, and deploy machine learning models that drive our technology forward. Key ...
Machine Learning - Master-Level Internship
Etobicoke, ON · On-site +1
$32/hr
As a Machine Learning Intern, you will work closely with our data scientists and engineers to develop, train, and deploy machine learning models that drive our technology forward. Key ...
Sr. Machine Learning Engineer
Toronto, ON · On-site
We are looking for a Sr. Machine Learning Engineer to help translate raw data into meaningful insights that drive strategic decision-making. The Opportunity Summary We are seeking an experienced ...
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Sr. Machine Learning Engineer
Toronto, ON · On-site
We are looking for a Sr. Machine Learning Engineer to help translate raw data into meaningful insights that drive strategic decision-making. The Opportunity Summary We are seeking an experienced ...
Senior Machine Learning Engineer
CA$170K - CA$250K/yr
As a Machine Learning Engineer, you will: * Join a world-class team of AI developers with an extensive track record of shipping solutions at the cutting-edge * Architect scalable machine learning and ...
Senior Machine Learning Engineer
CA$170K - CA$250K/yr
As a Machine Learning Engineer, you will: * Join a world-class team of AI developers with an extensive track record of shipping solutions at the cutting-edge * Architect scalable machine learning and ...
Sr. Machine Learning Engineer
Toronto, ON · On-site
We are looking for a Sr. Machine Learning Engineer to help translate raw data into meaningful insights that drive strategic decision-making. The Opportunity Summary We are seeking an experienced ...
Sr. Machine Learning Engineer
Toronto, ON · On-site
We are looking for a Sr. Machine Learning Engineer to help translate raw data into meaningful insights that drive strategic decision-making. The Opportunity Summary We are seeking an experienced ...
Machine Learning Engineer II
CA$154K - CA$199K/yr
Day-to-day as a Machine Learning Engineer: * Join a world-class team of AI developers with an extensive track record. * Architect scalable machine learning and Gen AI systems that integrate with ...
Machine Learning Engineer II
CA$154K - CA$199K/yr
Day-to-day as a Machine Learning Engineer: * Join a world-class team of AI developers with an extensive track record. * Architect scalable machine learning and Gen AI systems that integrate with ...
POSITION PURPOSE We are seeking a Senior Machine Learning Engineer to design, build, deploy, and operate scalable machine learning and AI solutions in production. This role sits at the intersection ...
POSITION PURPOSE We are seeking a Senior Machine Learning Engineer to design, build, deploy, and operate scalable machine learning and AI solutions in production. This role sits at the intersection ...
With more than 500 million users around the world and 300 billion ideas saved, Pinterest Machine Learning engineers build personalized experiences to help Pinners create a life they love. With just ...
With more than 500 million users around the world and 300 billion ideas saved, Pinterest Machine Learning engineers build personalized experiences to help Pinners create a life they love. With just ...
Senior Machine Learning Engineer - AI Innovation Teams As one of the world's top three credit ratings agencies, Fitch Ratings plays a critical role in global capital markets by providing credit ...
Senior Machine Learning Engineer - AI Innovation Teams As one of the world's top three credit ratings agencies, Fitch Ratings plays a critical role in global capital markets by providing credit ...
Senior Machine Learning Engineer
Toronto, ON · Hybrid
CA$110K - CA$145K/yr
Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or a related field. * 5+ years of experience in machine learning engineering or related roles. * Strong proficiency in ...
Senior Machine Learning Engineer
Toronto, ON · Hybrid
CA$110K - CA$145K/yr
Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or a related field. * 5+ years of experience in machine learning engineering or related roles. * Strong proficiency in ...
Senior Machine Learning Engineer
Markham, ON · Hybrid
CA$110K - CA$145K/yr
Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or a related field. * 5+ years of experience in machine learning engineering or related roles. * Strong proficiency in ...
Senior Machine Learning Engineer
Markham, ON · Hybrid
CA$110K - CA$145K/yr
Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or a related field. * 5+ years of experience in machine learning engineering or related roles. * Strong proficiency in ...
As an AMD intern, you'll be placed at the epicenter of the AI ecosystem, working alongside experts ... Programming in Python, C/C++ * Relational (SQL) and no-SQL databases. * Machine learning algorithms ...
As an AMD intern, you'll be placed at the epicenter of the AI ecosystem, working alongside experts ... Programming in Python, C/C++ * Relational (SQL) and no-SQL databases. * Machine learning algorithms ...
Machine Learning Engineer - Express Scripts Canada
Mississauga, ON · On-site
CA$115K - CA$125K/yr
Machine Learning Engineer Location: Mississauga Employment Type: Full-time Reason for Vacancy: Replacement Work Arrangement: Hybrid Department Name: Application Delivery Department Pay Typed:
Machine Learning Engineer - Express Scripts Canada
Mississauga, ON · On-site
CA$115K - CA$125K/yr
Machine Learning Engineer Location: Mississauga Employment Type: Full-time Reason for Vacancy: Replacement Work Arrangement: Hybrid Department Name: Application Delivery Department Pay Typed:
The Opportunity We're hiring a Senior Machine Learning Engineer to join our AI & Analytics Engineering team. This team builds AI-powered lab interpretation, clinician decision support, and ...
The Opportunity We're hiring a Senior Machine Learning Engineer to join our AI & Analytics Engineering team. This team builds AI-powered lab interpretation, clinician decision support, and ...
Lead Machine Learning Engineer
Toronto, ON · Remote
$225K - $260K/yr
Master's or PhD in Computer Science, Robotics, Electrical Engineering, Machine Learning, or a closely related technical discipline. * Minimum of 5 years of professional experience developing ...
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Lead Machine Learning Engineer
Toronto, ON · Remote
$225K - $260K/yr
Master's or PhD in Computer Science, Robotics, Electrical Engineering, Machine Learning, or a closely related technical discipline. * Minimum of 5 years of professional experience developing ...
Staff, Machine Learning Engineer
Toronto, ON · On-site +1
The Opportunity We're hiring a Staff Machine Learning Engineer to join our AI team and help shape the next generation of Fullscript's AI-powered experiences. You'll work on building innovative AI ...
Staff, Machine Learning Engineer
Toronto, ON · On-site +1
The Opportunity We're hiring a Staff Machine Learning Engineer to join our AI team and help shape the next generation of Fullscript's AI-powered experiences. You'll work on building innovative AI ...
Machine Learning Engineer Intern information
See Markham, ON salary details
$21.8K - $38.4K
14% of jobs
$38.4K - $54.9K
10% of jobs
$61.2K is the 25th percentile. Wages below this are outliers.
$54.9K - $71.5K
4% of jobs
$71.5K - $88.1K
7% of jobs
$88.1K - $104.7K
9% of jobs
The median wage is $115.7K / yr.
$104.7K - $121.3K
10% of jobs
$121.3K - $137.8K
13% of jobs
$149.6K is the 75th percentile. Wages above this are outliers.
$137.8K - $154.4K
13% of jobs
$154.4K - $171K
11% of jobs
$171K - $187.6K
7% of jobs
$187.6K - $204.2K
3% of jobs
$21.8K
$114.4K
$204.2K
How much do machine learning engineer intern jobs pay per year?
What types of projects and tasks do Machine Learning Engineer Interns typically work on?
Machine Learning Engineer Interns are often involved in data preparation, feature engineering, model development, and performance evaluation under the guidance of senior engineers or data scientists. You may help implement and test machine learning algorithms, assist in cleaning and visualizing datasets, and contribute to code reviews or research tasks. Interns frequently collaborate with cross-functional teams, such as data scientists, software engineers, and product managers, to solve real-world problems and support ongoing projects. This hands-on experience provides valuable insights into the practical application of machine learning in a professional setting.
What is a Machine Learning Engineer Intern job?
A Machine Learning Engineer Intern is a temporary, entry-level role where individuals work with data scientists and engineers to develop, test, and optimize machine learning models. Interns typically assist in data preprocessing, feature engineering, model training, and evaluation. They may also work on improving existing algorithms, implementing research papers, or deploying models into production. This role provides hands-on experience with machine learning frameworks such as TensorFlow and PyTorch, as well as coding in Python and working with large datasets. The internship helps build practical skills and industry experience in artificial intelligence and data science.
What are the key skills and qualifications needed to thrive in the Machine Learning Engineer Intern position, and why are they important?
To thrive as a Machine Learning Engineer Intern, you need a solid understanding of programming languages such as Python, knowledge of machine learning algorithms, and experience with data analysis, typically supported by coursework in computer science or related fields. Familiarity with tools like TensorFlow, PyTorch, scikit-learn, and version control systems such as Git is often required. Strong problem-solving abilities, attention to detail, and effective communication are valuable soft skills in this role. These competencies enable interns to contribute meaningfully to projects, collaborate efficiently with teams, and adapt in a fast-paced, tech-driven environment.

Other
Medical, Dental, Vision, Life, Retirement, PTO
Posted 19 days ago
United Airlines rating
7.8
Based on 331 frontline employees who took The Breakroom Quiz
9th of 26 rated airlines
Job description
Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you'd like, where you'll be supported and inspired bya collaborative community of colleagues around the world, and where you'll be able to reimagine what's possible. Join us and help the world's leading organizationsunlock the value of technology and build a more sustainable, more inclusive world.
- We thrive on the challenge to be our best progressive thinking to keep growing and working together to deliver trusted advice to help our clients thrive and communities prosper.
- We care about each other reaching our potential making a difference to our communities and achieving success that is mutual
- A comprehensive Total Rewards Program including bonuses and flexible benefits competitive compensation and stock where applicable
- Leaders who support your development through coaching and meaningful opportunities for growth
- The ability to make a lasting impact on how our Sales teams compete and win business at scale
- Work in a dynamic collaborative and high performing team tackling some of the most challenging AI problems in financial services sales
- A worldclass training program in financial services and AI best practices.
- Access to challenging work and the chance to build close relationships with Sales leadership and clients
- A PhD or Master's degree in Computer Science Machine Learning Deep Learning or equivalent hands on experience
- Five or more years building Deep Learning or Machine Learning models in production environments
- Advanced proficiency in Python and hands on experience with Generative AI frameworks and architectures
- Deep knowledge of retrieval augmented generation RAG agentic frameworks context and memory management and tool skills integration patterns
- Strong understanding of large language model architectures inference finetuning and model deployment
- Experience with Anthropic models and Claude including code generation capabilities
- In-depth knowledge of embeddings re-rankers and vector databases
- Expertise in ML experimentation model evaluation and monitoring in production
- Strong foundation in algorithms data structures and distributed computing
- Understanding of sales workflows client intelligence use cases or familiarity with how sales teams operate
- Embrace of AIfirst approach Actively incorporates AI tools and technologies into daily workflows to enhance productivity streamline routine tasks and drive efficiency Demonstrates curiosity about emerging AI capabilities and applies them thoughtfully to deliver better outcomes for clients and internal stakeholders.
- Design and build agentic frameworks that solve critical sales use cases including client intelligence gathering pitch content generation deal summarization and Realtime conversation analysis.
- Develop conversational AI systems that assist sales professionals in client interactions and help synthesize client intelligence across multiple data sources.
- Embed Generative AI tools into Sales platforms enabling seamless workflows for prospect research proposal generation and deal tracking Architect end to end AI solutions covering experimentation model evaluation and production monitoring to ensure sales tools perform reliably at scale.
- Guide the team on best practices conduct code reviews and mentor team members on Generative AI implementation.
The base compensation range for this role in the posted location is: 67,000 to 83,000.
Capgemini provides compensation range information in accordance with applicable national, state, provincial, and local pay transparency laws. The base compensation range listed for this position reflects the minimum and maximum target compensation Capgemini, in good faith, believes it may pay for the role at the time of this posting. This range may be subject to change as permitted by law.
The actual compensation offered to any candidate may fall outside of the posted range and will be determined based on multiple factors legally permitted in the applicable jurisdiction.
These may include, but are not limited to: Geographic location, Education and qualifications, Certifications and licenses, Relevant experience and skills, Seniority and performance, Market and business consideration, Internal pay equity.
It is not typical for candidates to be hired at or near the top of the posted compensation range.
In addition to base salary, this role may be eligible for additional compensation such as variable incentives, bonuses, or commissions, depending on the position and applicable laws.
Capgemini offers a comprehensive, non-negotiable benefits package to all regular, full-time employees. In the U.S. and Canada, available benefits are determined by local policy and eligibility and may include:
- Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade, Company paid holidays, Personal Days, Sick Leave
- Medical, dental, and vision coverage (or provincial healthcare coordination in Canada)
- Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada)
- Life and disability insurance
- Employee assistance programs
- Other benefits as provided by local policy and eligibility
Important Notice: Compensation (including bonuses, commissions, or other forms of incentive pay) is not considered earned, vested, or payable until it becomes due under the terms of applicable plans or agreements and is subject to Capgemini's discretion, consistent with applicable laws. The Company reserves the right to amend or withdraw compensation programs at any time, within the limits of applicable legislation.
Disclaimers
Capgemini is an Equal Opportunity Employer encouraging inclusion in the workplace. Capgemini also participates in the Partnership Accreditation in Indigenous Relations (PAIR) program which supports meaningful engagement with Indigenous communities across Canada by promoting fairness, accessibility, inclusion and respect. We value the rich cultural heritage and contributions of Indigenous Peoples and actively work to create a welcoming and respectful environment. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law.
This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodation does not pose an undue hardship. Capgemini is committed to providing reasonable accommodation during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact.
Please be aware that Capgemini may capture your image (video or screenshot) during the interview process and that image may be used for verification, including during the hiring and onboarding process.
Click the following link for more information on your rights as an Applicant in the United States. http://www.capgemini.com/resources/equal-employment-opportunity-is-the-law
Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.
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Benefits
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About United Airlines
Sourced by ZipRecruiter
United Airlines is embarking on an exciting journey to become the best airline in aviation history. Our purpose, "Connecting People, Uniting the World," extends beyond transportation, emphasizing our commitment to uplift and create opportunities in the places we serve. With a global presence and diverse workforce, we value inclusivity and are dedicated to hiring tens of thousands of individuals across various roles. Our comprehensive benefits package, including perks like space available travel, parental leave, and 401k, aims to support your well-being and growth.
Industry
Aviation
Company size
10,000+ Employees
Headquarters location
Chicago, IL, US
Year founded
1926