# Senior Machine Learning Engineer

**Company**: Adobe
**Experience**: senior
**Job type**: full-time
**Salary**: $151,800 - $265,350 annually
**Category**: Engineering
**Industry**: Technology

**Apply**: https://adobe.wd5.myworkdayjobs.com/en-US/external_experienced/job/San-Jose/Senior-Machine-Learning-Engineer_R160087?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_c2a51e52-b45

## Description

We're hiring Senior ML Engineers to own major components end-to-end for our Agent Platform, a production-grade platform for autonomous AI agents. You'll work at the intersection of applied ML and systems engineering, shaping a system that serves Fortune 500 marketing teams.

**Responsibilities:**

- Build core agent infrastructure, including the agent runtime, tool execution layer, memory systems, sandboxed execution, or control plane

- Design ML workflows at enterprise scale, including model customization, serving, and lifecycle management

- Innovate and explore new approaches to agent reasoning, tool orchestration, memory, or evaluation

- Close the loop with customers, joining regular customer engagements to see how your systems perform in real deployments

- Own what you ship, from architecture through production operations, including deployment, monitoring, observability, and incident response

**Requirements:**

- Ph.D. or M.S. in Computer Science or related field

- 5+ years of experience building and deploying production ML systems

- Strong software engineering fundamentals, including proficiency in Python and/or Java

- Deep hands-on experience with at least one modern deep learning framework (PyTorch, TensorFlow, JAX)

- Production experience with LLMs, including prompt/context engineering, working with LLM APIs, fine-tuning, or building LLM-powered applications

- Experience with cloud platforms (AWS or Azure) and data infrastructure (Postgres, Redis, Elasticsearch, Snowflake, or similar)

**Nice to Have:**

- Agent or LLM infrastructure depth, including building agent loops, tool-use orchestration, RAG pipelines, long-term memory systems, or fine-tuning/serving infrastructure

- Platform-scale systems thinking, including designing catalog systems, plugin architectures, or intent routing

- ML-Ops or Agent-Ops experience, including building eval frameworks, execution tracing, drift detection, guardrails, or HITL intervention systems

- Multiplier instincts, including mentoring engineers, shaping a team's technical roadmap, or building internal tools and practices

## Skills

### Required
- Python
- Java
- PyTorch
- TensorFlow
- JAX
- LLMs
- cloud platforms
- data infrastructure

### Nice to have
- agent infrastructure
- platform-scale systems thinking
- ML-Ops
- Agent-Ops
- multiplier instincts

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Source: [Apply at adobe.wd5.myworkdayjobs.com](https://adobe.wd5.myworkdayjobs.com/en-US/external_experienced/job/San-Jose/Senior-Machine-Learning-Engineer_R160087?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)