Adobe Systems

1 month ago

Applied Scientist 5.5

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 2 hours agoStatus: Live

Job Summary

Senior ML Engineer specializing in generative modeling and computer vision, responsible for architecting and shipping diffusion-based models, taking research into production, and mentoring a team. Combines cutting-edge AI research with scalable, reliable systems across image, video, and multimodal tasks within Adobe’s Applied AI team.

Location: Bengaluru, Noida

Workplace: Onsite

Employment Type: Full time

Job Function: Research & Scientific (R&D)

Key Responsibilities

•Design, train, and fine-tune large-scale diffusion models for image, video, and multimodal generation tasks.
•Build production-grade pipelines for image/video understanding: segmentation, detection, depth estimation, optical flow, and 3D reconstruction.
•Develop and fine-tune vision foundation models (ViT, CLIP, DINOv2, SAM) using parameter-efficient methods (LoRA, adapters).
•Own the full ML lifecycle: data curation, experiment tracking, model evaluation, optimization, deployment, and monitoring.
•Lead technical design reviews, write RFCs, and mentor junior and mid-level ML engineers to ship features.

Key Requirements

•15+ years of hands-on ML engineering experience in industry or research.
•MS or PhD in Computer Science, Machine Learning, Statistics, or equivalent practical experience.
•Expert-level Python; strong, mandatory proficiency in PyTorch.
•Deep knowledge of score-based and diffusion models.
•Strong background in computer vision fundamentals: CNNs, ViTs, feature pyramids, multi-scale processing.

Experience:15+ yearsArtificial intelligenceMachine learningComputer vision

Education:Master's

Skills:CommunicationLeadershipMentorshipTeamworkProblem-solving

Languages:English

Tech Stack:PythonPyTorchDiffusion modelsDDPMDDIMLDMDiTViTCLIPDINOv2SAMLoRAAdaptersControlNetIP-AdapterMegatron-LMDeepSpeedDDPFSDPFlash Attention

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

1 month ago

Applied Scientist 5.5

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 2 hours agoStatus: Live

Job Summary

Location: Bengaluru, Noida

Workplace: Onsite

Employment Type: Full time

Job Function: Research & Scientific (R&D)

Key Responsibilities

•Design, train, and fine-tune large-scale diffusion models for image, video, and multimodal generation tasks.
•Build production-grade pipelines for image/video understanding: segmentation, detection, depth estimation, optical flow, and 3D reconstruction.
•Develop and fine-tune vision foundation models (ViT, CLIP, DINOv2, SAM) using parameter-efficient methods (LoRA, adapters).
•Own the full ML lifecycle: data curation, experiment tracking, model evaluation, optimization, deployment, and monitoring.
•Lead technical design reviews, write RFCs, and mentor junior and mid-level ML engineers to ship features.

Key Requirements

•15+ years of hands-on ML engineering experience in industry or research.
•MS or PhD in Computer Science, Machine Learning, Statistics, or equivalent practical experience.
•Expert-level Python; strong, mandatory proficiency in PyTorch.
•Deep knowledge of score-based and diffusion models.
•Strong background in computer vision fundamentals: CNNs, ViTs, feature pyramids, multi-scale processing.

Experience:15+ yearsArtificial intelligenceMachine learningComputer vision

Education:Master's

Skills:CommunicationLeadershipMentorshipTeamworkProblem-solving

Languages:English

Tech Stack:PythonPyTorchDiffusion modelsDDPMDDIMLDMDiTViTCLIPDINOv2SAMLoRAAdaptersControlNetIP-AdapterMegatron-LMDeepSpeedDDPFSDPFlash Attention

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