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Currently tracking 36 active AI roles, up 16% versus the prior 4 weeks. Primary focus: Ship · Engineering. Salary range $124k–$485k (avg $265k).

Hiring
36 / 40
Momentum (4w)
↑+8 +16%
58 opens last 4w · 50 prior 4w
Salary range · avg $265k
$124k–$485k
USD · disclosed roles only
Tracked since
Jul '24
last role yesterday
Hiring velocityscroll left for older weeks
1 new role
Jan 30
1 new role
Feb 27
1 new role
Dec 11
1 new role
Jan 8
1 new role
Feb 19
1 new role
Jul 1
4 new roles
22
1 new role
Mar 3
1 new role
Apr 14
1 new role
May 19
1 new role
Jun 30
1 new role
Jul 14
1 new role
28
1 new role
Aug 4
1 new role
Sep 22
1 new role
29
2 new roles
Oct 20
1 new role
27
2 new roles
Nov 3
1 new role
10
1 new role
17
1 new role
Dec 1
1 new role
8
1 new role
15
1 new role
22
2 new roles
Jan 12
2 new roles
19
2 new roles
26
1 new role
Feb 2
1 new role
9
3 new roles
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15 new roles
23
6 new roles
Mar 2
9 new roles
9
5 new roles
16
5 new roles
23
12 new roles
30
11 new roles
Apr 6
22 new roles
13
28 new roles
20
9 new roles
27
14 new roles
May 4
7 new roles
11

Jobs (7)

36 AI · 159 total active
FilteredCountryCanada×
Show
Active onlyAI only (≥ 7)
Stage
AllData · 1Post-train · 1Serve · 4Agent · 20Eval Gate · 3Ship · 25
Function
AllProduct · 80Engineering · 78Research · 1
Country
AllUnited States · 127Canada · 7Australia · 6Ireland · 5Singapore · 4United Kingdom · 4Germany · 2Japan · 2Brazil · 1Switzerland · 1
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AI scoreRecentTitle
TitleStageFunctionLocationFirst seenAI score
Machine Learning Engineer II, Core Engineering
Machine Learning Engineer II at Pinterest focused on building and improving ML models for core product surfaces like Homefeed, Ads, Growth, Shopping, and Search. The role involves developing cutting-edge deep learning and ML technologies for personalization, using data-driven methods, and working with large-scale systems and stream data. The primary output is the improvement and deployment of ML models within the consumer product.
ShipEngineeringToronto, ONDec '258
Manager II, Engineering
Engineering Manager to lead a mobile and backend team focused on verticalized shopping experiences, leveraging generative AI to transform user inspiration into actionable, shoppable moments. The role involves owning the technical roadmap, driving an experiment-led culture, and building the necessary AI systems (harness, context, retrieval, prompt orchestration, evaluation, guardrails) for production-ready LLM applications. The focus is on integrating AI-driven personalization and recommendation systems to improve conversion rates and user satisfaction.
Agent
Engineering
Toronto, ON
Dec '25
7
Sr. Production Engineer
This role is for a Sr. Site Reliability Engineer on the Compute SRE team, responsible for ensuring compute workloads run smoothly on Pinterest's Kubernetes infrastructure. The role involves designing and building systems, platforms, and tools to ensure reliability at scale. A significant aspect of the role involves using AI tools for development, incident analysis, and operational improvements, as well as critically evaluating AI-assisted work.
—EngineeringToronto, ON3w ago5
Sr. Client Partner, Home & Beauty
This role is for a Sr. Client Partner at Pinterest, focusing on driving business results for strategic advertisers in the Home & Beauty sector. The role involves growing and nurturing client relationships, guiding them through the marketing funnel, and acting as a trusted consultant. While the company emphasizes AI's role in augmenting creativity and operations, this position is primarily a sales and client management role, not directly building or researching AI models. The candidate will leverage AI tools for pipeline management and client communication, but their core function is sales and strategic advising within the advertising domain.
—ProductToronto, ON8w ago5
Staff Data Scientist, Monetization
Data Scientist role focused on ads delivery and optimization at Pinterest. The role involves evolving ad strategy, improving experimentation, leading technical projects, and communicating findings. While AI is mentioned as a tool to augment creativity and amplify impact, and candidates are expected to leverage AI for faster execution and synthesis, the core responsibilities are centered around traditional data science, experimentation, and ad delivery systems, not building or researching AI models themselves. The role is classified as consumer domain, mature AI maturity, and L6 (shipped product) due to its focus on optimizing ads, which are a core product feature.
—EngineeringToronto, ONDec '255
Sr. Data Scientist
Senior Data Scientist at Pinterest focused on shaping people-facing and business-facing products. The role involves quantitative modeling, experimentation, and algorithms to solve complex engineering challenges. A key aspect is leveraging AI tools for faster execution, information synthesis, and automating tasks, with a strong emphasis on critically evaluating AI-assisted work and maintaining high integrity.
—EngineeringToronto, ONMar '255
Sr. Software Engineer, Backend
Senior Backend Engineer role at Pinterest, focusing on building Pinner-facing features and large-scale distributed systems. The role involves leveraging AI tools for faster execution and information synthesis, with a strong emphasis on critical evaluation and verification of AI-assisted work. While AI is mentioned as a partner and tool, the core craft is backend engineering, not AI/ML model development.
—EngineeringToronto, ONDec '235