Adobe Systems

3 weeks ago

Computer Scientist 2

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 11 hours agoStatus: Live

Job Summary

Join Adobe Express AI Foundations to build and scale AI infrastructure powering Agentic AI, Compose AI, Imaging AI, Motion AI, and Personalization AI. Develop production systems across model orchestration, inference services, data pipelines, storage and caching, and analytics, collaborating with engineers, researchers, and product teams to ship reliable, high-performance AI capabilities.

Location: Bengaluru

Workplace: Onsite

Employment Type: Full time

Job Function: Research & Scientific (R&D)

Key Responsibilities

•Build and improve core platform components that power intelligent experiences across Adobe Express.
•Contribute to data and inference pipelines supporting training, evaluation, fine-tuning, and deployment of ML models.
•Develop backend services, microservices, and workflows that connect models, APIs, data systems, and product surfaces.
•Help maintain and improve runtime systems for inference and orchestration, with a focus on reliability, observability, and performance.
•Work on storage, caching, and data-access patterns to improve efficiency, scalability, and cost-effectiveness.

Key Requirements

•8 - 12 years of experience in software engineering, backend infrastructure, data systems, or ML infrastructure.
•Solid understanding of distributed systems, backend services, and scalable system development.
•Hands-on experience building or supporting APIs, data pipelines, or event-driven systems.
•Comfort working in cloud environments with production engineering and service deployment practices.
•Experience with ML systems or applications based on LLMs, model inference, orchestration, or evaluation is highly advantageous.

Experience:8-12 yearsAIML infrastructureDistributed systems

Education:Bachelor's

Skills:CollaborationProblem-solvingCommunication

Languages:English

Tech Stack:KafkaSparkFlinkAPIsData pipelinesCloudInferenceModel orchestrationDistributed systems

Company Brief

Adobe Systems

Provides creative, marketing, and document management software and cloud services, including Photoshop, Illustrator, Acrobat, and the Adobe Experience Cloud, serving creative professionals, enterprises, and governments worldwide.

Industry: SaaS

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: San Jose, United States

Founded: 1982

Glassdoor: 4.0

Website LinkedIn Glassdoor

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Adobe Systems

3 weeks ago

Computer Scientist 2

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 11 hours agoStatus: Live

Job Summary

Location: Bengaluru

Workplace: Onsite

Employment Type: Full time

Job Function: Research & Scientific (R&D)

Key Responsibilities

•Build and improve core platform components that power intelligent experiences across Adobe Express.
•Contribute to data and inference pipelines supporting training, evaluation, fine-tuning, and deployment of ML models.
•Develop backend services, microservices, and workflows that connect models, APIs, data systems, and product surfaces.
•Help maintain and improve runtime systems for inference and orchestration, with a focus on reliability, observability, and performance.
•Work on storage, caching, and data-access patterns to improve efficiency, scalability, and cost-effectiveness.

Key Requirements

•8 - 12 years of experience in software engineering, backend infrastructure, data systems, or ML infrastructure.
•Solid understanding of distributed systems, backend services, and scalable system development.
•Hands-on experience building or supporting APIs, data pipelines, or event-driven systems.
•Comfort working in cloud environments with production engineering and service deployment practices.
•Experience with ML systems or applications based on LLMs, model inference, orchestration, or evaluation is highly advantageous.

Experience:8-12 yearsAIML infrastructureDistributed systems

Education:Bachelor's

Skills:CollaborationProblem-solvingCommunication

Languages:English

Tech Stack:KafkaSparkFlinkAPIsData pipelinesCloudInferenceModel orchestrationDistributed systems

Company Brief

Adobe Systems

Industry: SaaS

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: San Jose, United States

Founded: 1982

Glassdoor: 4.0

Website LinkedIn Glassdoor