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Agentic ML Engineer - Photoshop

Job in Laval, Province de Québec, H0A, Canada
Listing for: Frame.io
Full Time position
Listed on 2026-07-19
Job specializations:
  • Software Development
    AI Engineer (Applied/Software), Machine Learning/ ML Engineer
Salary/Wage Range or Industry Benchmark: 190200 - 345650 CAD Yearly CAD 190200.00 345650.00 YEAR
Job Description & How to Apply Below
Position: Staff Agentic ML Engineer - Photoshop

Position Summary

We are building an advanced AI platform that powers next-generation creative workflows for flagship products like Photoshop and Lightroom. As a Senior Machine Learning Engineer (or Applied Scientist), you will combine deep technical expertise with architectural leadership to design and implement reasoning systems, tool orchestration, and multimodal integrations using cutting‑edge large language models (LLMs) and vision‑language models (VLLMs).

The Opportunity
  • (M)
    LLM post‑training and evaluation, including fine‑tuning, alignment, and domain adaptation
  • Agent system architecture design and implementation at scale
  • Practical agent development using frameworks such as Lang Chain, Lang Graph, MCP, and A2A
  • Image generation and editing with multimodal AI
  • Building and owning rigorous evaluation frameworks for LLM and agent performance
What You’ll Do
  • Lead the development of next‑generation AI agents that improve and extend Adobe’s product ecosystem
  • Drive the architecture and implementation of robust agentic systems that combine reasoning, retrieval, tool use, and multimodal capabilities
  • Own end‑to‑end LLM fine‑tuning pipelines — data curation, training, RLHF/DPO alignment, and evaluation
  • Design and maintain comprehensive evaluation frameworks to measure agent quality, reliability, and safety
  • Implement state‑of‑the‑art LLM techniques for specialized creative applications
  • Mentor and grow engineers and scientists across the team; establish technical best practices
  • Move fast in an environment where priorities evolve and problems are sometimes loosely defined
What You Need to Succeed
  • Master’s or Ph.D. in Computer Science, Machine Learning, Data Science, or a related field
  • 8+ years of industry ML experience
  • Demonstrated expertise in LLMs, fine‑tuning (SFT, RLHF, DPO, PEFT/LoRA), and agentic system development in production
  • Deep experience building evaluation frameworks for LLM and multi‑agent systems (LLM‑as‑judge, automated benchmarks, red‑team‑ing)
  • Proficiency in PyTorch and agentic frameworks:
    Lang Chain, Lang Graph, MCP, Agent Development Kit (ADK)
  • Fluency with AI‑assisted development tools (e.g. Claude Code, Codex, Cursor) while maintaining independent engineering judgment and critical ownership of technical decisions
  • Strong foundation in data structures, algorithms, and software engineering principles
  • Excellent problem‑solving and communication skills; comfortable operating in fast‑moving, ambiguous environments
  • Experience with multimodal models (vision‑language, image generation/editing) is a strong plus
Expected Pay Range

The U.S. pay range for this position is $190,200 – $345,650 annually. Pay within this range varies by work location and may also depend on job‑related knowledge, skills, and experience. Your recruiter can share more about the specific salary range for the job location during the hiring process.

In California, the pay range for this position is $238,700 - $345,650

In New York, the pay range for this position is $238,700 - $345,650

In Massachusetts, the pay range for this position is $207,900 - $301,100

In Washington, the pay range for this position is $223,500 - $323,700

Equal Employment Opportunity

Adobe is proud to be an Equal Employment Opportunity employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other protected characteristic. Learn more.

Adobe aims to make our Careers website and recruiting process accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email  or call .

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