Machine Learning Intern 2027 (Toronto)
Toronto, ON, CA · Intern · Internship
Sponsorship not specifiedDetected 14 days ago
PythonJavaC++Machine LearningTensorFlowPyTorchSparkNLPComputer VisionStatisticsA/B TestingResearchCommunicationCollaborationHadoop
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odds of building a lasting career here
42Risky
Cap-exempt (no lottery)0
Sponsors this role100
Entry-level history0
PERM / green-card track0
Lottery odds40
Fits your clock70
Thin sponsorship signal and lottery-bound. A low-probability bet with your clock running. Prioritize cap-exempt roles and proven entry-level sponsors first.
Lottery odds assume a STEM candidate.
Personalize to your clock →Employer immigration record
from this employer's Department of Labor filings
Green-card filing pattern in this occupation
Context, not a finding about this posting: of this employer's 34 green-card filings in this occupation, 100% were for a worker who already held the job.
Green-card follow-through: 70%
Of 33 labor certifications old enough to have been used, 10 expired without the employer filing the next step. Median time from filing to decision: 486 days.100% of their filings were for a worker who already held the job.Only certifications past the 180-day window are counted — recent ones cannot have expired yet.
Files H-1B transfers
71 transfer filings in the last year, covering 71 workers. Median labor-condition decision: 7 days. An employer that already files transfers is one that can take over an existing H-1B.
Sourced from Department of Labor LCA, PERM and prevailing-wage disclosure data. Employer matching is by name, so figures may be split across an employer's legal entities. Absence of a filing means none appears in our copy of the data, not that none exists.
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About the role
- Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other's unique experiences and embrace the flexibility to do your best work.
- Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think.
- You can read more about our AI interview philosophy and how we use AI in our recruiting process here.
Responsibilities
- Break down scoped technical problems, propose approaches and implement solutions with guidance from the team
- Deliver assigned project milestones, share progress and findings with teammates and seek guidance when needed
Requirements
- Working towards a Master's or PhD degree in Computer Science, ML, NLP, Statistics, Information Sciences or related field
- Experience with big data technologies (e.g., Hadoop/Spark) and scalable realtime systems that process stream data
- Proficiency in at least one systems language (Java, C++, Python) or one ML framework (Tensorflow, Pytorch, MLFlow)
- Experience in research and in solving analytical problems
- Strong communicator and team player with the ability to find solutions for open-ended problems
Skills
- It's Possible.
Compensation
- In an effort to provide greater transparency, we are sharing the base salary range for this position.
- Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise.
- The minimum and maximum salary for this position is CA$8000 - CA$8600 monthly.
Benefits
- Own a scoped machine learning project from problem definition through experimentation, implementation and communication of results, with guidance from your manager and team
- Contribute to applied machine learning and AI research that informs Pinterest product experiences
- Collect, analyze and synthesize data to develop data-driven machine learning models
- Apply relevant machine learning techniques, including natural language processing or graph-based approaches, to modeling and ranking problems across discovery, ads and search
- Experience applying machine learning or AI concepts through research, coursework, projects or internships.
- Machine Learning (ranking, computer vision, NLP, content recommendations, embedding, information retrieval etc)
- Information regarding the culture at Pinterest and benefits available for this position can be found here.
Company info
- At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee.
- In an effort to provide greater transparency, we are sharing the base salary range for this position.
- Canada based applicants only The minimum and maximum salary for this position is CA$8000 - CA$8600 monthly. #LI-HYBRID #LI-AG4 At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee.
- What we are looking for:
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This listing is sourced directly from Pinterest's careers page and normalized into a canonical job model.