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Adobe

Adobe

Enterprise

HQ
San Jose, US
Founded
1982
Size
25,000+
Website
adobe.com

Currently tracking 206 active AI roles, with 444 new openings in the last 4 weeks. Primary focus: Agent · Engineering. Salary range $114k–$397k (avg $224k).

Hiring
206 / 231
Momentum (4w)
↓-1 0%
444 opens last 4w · 445 prior 4w
Salary range · avg $224k
$114k–$397k
USD · disclosed roles only
Tracked since
8w ago
last role yesterday
Hiring velocityscroll left for older weeks
1 new role
Nov 3
2 new roles
10
1 new role
17
2 new roles
24
4 new roles
Dec 15
1 new role
22
2 new roles
Jan 5
2 new roles
12
1 new role
19
1 new role
Feb 9
337 new roles
Mar 16
76 new roles
23
165 new roles
30
108 new roles
Apr 6
96 new roles
13
94 new roles
20
137 new roles
27
176 new roles
May 4
37 new roles
11

Jobs (7)

206 AI · 685 total active
FilteredCountryRomania×
Show
Active onlyAI only (≥ 7)
Stage
AllData · 9Pretrain · 6Post-train · 29Serve · 27Agent · 115Eval Gate · 4Ship · 41
Function
AllEngineering · 161Product · 42Research · 28
Country
AllUnited States · 173India · 41Romania · 7United Kingdom · 3Canada · 2Germany · 2Japan · 2Armenia · 1France · 1Singapore · 1
Sort
AI scoreRecentTitle
TitleStageFunctionLocationFirst seenAI score
Senior ML Engineer - Firefly
Senior ML Engineer at Adobe Firefly team, focusing on adapting large-scale pretrained multimodal generative models (image, text, video) for creative products. Responsibilities include research, prototyping, integrating new techniques, building end-to-end pipelines, and contributing to data strategy and user workflows. Requires strong ML engineering, deep learning, generative model, and Python skills, with experience in large-scale ML pipelines from training to inference.
Post-trainServeEngineeringBucharest, Romania6w ago9
Machine Learning Services Engineer - Firefly
The ML Services Software Development Engineer will architect and implement performant, robust, and scalable GenAI services supporting deep learning models in large-scale, distributed environments. This role leads inference platform projects, collaborates with ML researchers to optimize GPU utilization, and monitors ML platform performance.
Serve
Engineering
Bucharest, Romania
6w ago
8
Software Development Engineer - Adobe Sites Optimizer
Software Development Engineer to build cloud services integrating AI/ML and generative AI for Adobe's AEM Sites Optimizer and LLM Optimizer product. The role involves analyzing data, automating hypotheses into self-learning AI-first software, designing prompt engineering strategies, and utilizing RAG.
AgentEngineeringBucharest, Romania5w ago7
Machine Learning Engineer - Evergreen
Machine Learning Engineer at Adobe focused on building and scaling data products and AI/ML solutions for enterprise customers, involving the full lifecycle of model development, deployment, and maintenance.
ServeEngineeringBucharest, Romania6w ago7
Sr. Python Engineer, AI/ML Application
This role focuses on building AI/ML solutions and agent coordination systems within Adobe Experience Platform, leveraging LLM and ML technologies for enterprise customers. The engineer will architect, implement, and optimize agent-based systems, focusing on reliability, scalability, and performance, while also contributing to platform development and innovation in agent orchestration.
AgentEngineeringBucharest, Romania6w ago7
Engineering Manager - Adobe Express (with AI/ML Expertise)
Engineering Manager for Adobe Express in Bucharest, Romania, responsible for leading a team of engineers developing AI/ML-powered features and driving AI adoption across teams. The role involves managing feature development, collaborating with cross-functional teams, determining technical requirements, and promoting innovation. Key responsibilities include hands-on AI/ML experience, driving AI adoption beyond a single team, establishing success metrics, and contributing to governance practices for safe and scalable AI usage.
ShipEngineeringBucharest, Romania7w ago7
Python Engineer - AI Agents
Senior Software Development Engineer to join the Adobe Agent Orchestrator Platform team in Bucharest. The role focuses on engineering reusable components, optimizing agent workflows, and ensuring real-world performance in production environments for agentic AI systems. Responsibilities include designing and developing the next generation of the platform, architecting agent coordination systems, and innovating in agent orchestration and distributed coordination.
AgentEngineeringBucharest, Romania8w ago7