Machine Learning Engineer 5

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• Lead a small team dedicated to video-model inference quality and evaluation.
• Integrate and harden new video-generation models from the core Modeling team into production services.
• Build automated pipelines to track video-quality metrics, latency, drift, and cost.
• Partner with Evaluation-Platform and Integration-Services teams to move models through release gates.
• Define and enforce SLAs for inference quality, latency, and cost.
• Maintain clean APIs, tests, and CI/CD for all inference code (Python / PyTorch).
• Report clear metrics and blockers to researchers, product managers, and leadership.

• B.S. or M.S. in Computer Science or related field, or equivalent experience.
• 6 + years software engineering, including 2 + years leading ML-inference or backend projects.
• Strong systems-architecture skills; expert Python and solid PyTorch.
• Hands-on experience running distributed services at scale (CI/CD, containers, orchestration).
• Proven record designing stable APIs and SDKs.
• Familiarity with automated testing, continuous integration, and on-call support.
• Clear written and verbal communication; able to align research and engineering teams.

• Experience with diffusion or other generative models.
• Ray or similar distributed-compute frameworks.
• Kubernetes, ECS, or comparable orchestration tools.
• Background in model quantization or GPU scheduling.
• Jenkins, GitHub Actions, or similar CI pipelines.

Note: This role focuses on inference integration and evaluation, not model training. Strong software-engineering discipline is essential to help next-generation video-generative models meet production quality bars quickly and reliably.

At Adobe, for sales roles starting salaries are expressed as total target compensation (TTC = base + commission), and short-term incentives are in the form of sales commission plans. Non-sales roles starting salaries are expressed as base salary and short-term incentives are in the form of the Annual Incentive Plan (AIP).

In addition, certain roles may be eligible for long-term incentives in the form of a new hire equity award.

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California:

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Colorado:

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If this role is open to hiring in Colorado (as listed on the job posting), the application window will remain open until at least the date and time stated above in Pacific Time, in compliance with Colorado pay transparency regulations. If this role does not have Colorado listed as a hiring location, no specific application window applies, and the posting may close at any time based on hiring needs.

Massachusetts:

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