Sr. Machine Learning Engineer, Growth Science

Toronto, ON, CA · Senior

Sponsorship not specifiedDetected 8 days ago

SQLMachine LearningDeep LearningSparkNLPLLMsStatisticsA/B TestingHadoop

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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.

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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

Partner closely with teams across Pinterest to experiment and improve ML models for various product surfaces (Homefeed, Ads, Growth, Shopping, and Search), while gaining knowledge of how ML works in different areas

Nice to have

Publications at top ML conferences
Experience using Cursor, Copilot, Codex, or similar AI coding assistants for development, debugging, testing, and refactoring
Familiarity with LLM-powered productivity tools for documentation search, experiment analysis, SQL/data exploration, and engineering workflow acceleration
Expertise in scalable realtime systems that process stream data
Passion for applied ML and the Pinterest product
MS/PhD in Computer Science, ML, NLP, Statistics, Information Sciences, related field, or equivalent experience.
This position is not eligible for relocation assistance.
Visit our PinFlex page to learn more about our working model.

Skills

It's Possible.
With just over 3,000 global employees, our teams are small, mighty, and still growing.

Benefits

Build cutting edge technology using the latest advances in deep learning and machine learning to personalize Pinterest
End-to-end hands-on experience with building data processing pipelines, large scale machine learning systems, and big data technologies (e.g., Hadoop/Spark)
Degree in computer science, machine learning, statistics, or related field

Company info

What we're looking for:

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This listing is sourced directly from Pinterest's careers page and normalized into a canonical job model.