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Currently tracking 17 active AI roles, up 103% versus the prior 4 weeks. Primary focus: Ship · Engineering. Salary range $128k–$222k (avg $171k).

Hiring
17 / 18
Momentum (4w)
↑+33 +103%
65 opens last 4w · 32 prior 4w
Salary range · avg $171k
$128k–$222k
USD · disclosed roles only
Tracked since
Dec '25
last role 4d ago
Hiring velocityscroll left for older weeks
1 new role
Feb 24
1 new role
Nov 10
3 new roles
17
1 new role
Dec 1
5 new roles
8
1 new role
15
2 new roles
29
2 new roles
Jan 5
2 new roles
19
2 new roles
26
3 new roles
Feb 2
4 new roles
9
6 new roles
16
3 new roles
23
5 new roles
Mar 2
5 new roles
9
6 new roles
16
11 new roles
23
9 new roles
30
6 new roles
Apr 6
21 new roles
13
19 new roles
20
14 new roles
27
11 new roles
May 4
Lyft

Lyft

Consumer · Rideshare

HQ
San Francisco, US
Founded
2013
Website
lyft.com

Jobs (6)

17 AI · 137 total active
FilteredStageShip×FunctionEngineering×Clear all
Show
Active onlyAI only (≥ 7)
Stage
AllServe · 6Agent · 18Ship · 10
Function
AllEngineering · 75Product · 62
Country
AllUnited States · 83Canada · 36Mexico · 11Ukraine · 2
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AI scoreRecentTitle
TitleStageFunctionLocationFirst seenAI score
Data Scientist, Algorithms - Lyft Ads
Lyft Ads is seeking an Algorithms Scientist to build the next generation of ads relevance, targeting, optimization, and measurement algorithms. This role involves working with large-scale datasets and complex real-time systems to design, prototype, and deploy production-grade machine learning models. The scientist will collaborate with Engineering, Product, Data Science, and Sales to translate business needs into algorithmic solutions that improve ad performance and drive revenue growth. The role requires hands-on modeling experience, ability to write production code, and a focus on personalization, measurement, and real-time optimization.
ShipAgentEngineeringNew York, NYDec '258
Data Scientist, Algorithms - Lyft Ads
Lyft Ads is seeking an Algorithms Scientist to build the next generation of ads relevance, targeting, optimization, and measurement algorithms. This role involves working with large-scale datasets and complex real-time systems to design, prototype, and deploy production-grade machine learning models. The scientist will collaborate with Engineering, Product, Data Science, and Sales to translate business needs into algorithmic solutions that improve ad performance and drive revenue growth. The role requires hands-on modeling experience, ability to write production code, and a focus on personalization, measurement, and real-time optimization.
ShipAgent
Engineering
New York, NY
Dec '25
8
Senior Machine Learning Engineer, Recommendations
Senior Machine Learning Engineer at Lyft focused on Recommendations. This role involves developing and launching ML algorithms for core business services and products, with a focus on personalization and user impact. Requires strong Python/Golang skills and experience with ML methodologies like supervised learning, forecasting, recommendation systems, RL, and multi-armed bandits.
ShipEngineeringSan Francisco, CAFeb 207
AI Business Solution Architect
This role bridges the gap between Finance business needs and technical delivery by architecting AI-enabled solutions for the Finance function. The architect will translate complex business requirements into scalable systems, drive AI transformation, and ensure responsible adoption of AI technologies within Finance workflows, focusing on operational excellence and strategic impact.
ShipEngineeringToronto, ON2w ago5
Data Scientist, Algorithms - Driver Incentives
Data Scientist role focused on building and deploying ML models for driver incentives within Lyft's consumer platform. Responsibilities include problem framing, data analysis, model construction, production code writing, and experimental design/analysis.
ShipEngineeringToronto, ON3w ago5
Data Scientist, Algorithms, Optimization - Fulfillment
Data Scientist specializing in Algorithms for Lyft's Fulfillment team, focusing on developing and improving real-time supply and demand matching algorithms, optimization, prediction, and machine learning models for the platform's core services. This role involves writing production modeling code, designing and implementing experiments, and analyzing data to drive product decisions and improve user experiences.
ShipEngineeringNew York, NY +1Dec '255