Staff Machine Learning Engineer
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Job Location:
San Jose, CA - USA
Yearly Salary:
$ 162000 - 301200
Posted on:
30+ days ago
Vacancies:
1 Vacancy
Job Summary
Our Company
Changing the world through digital experiences is what Adobes all about. We give everyonefrom emerging artists to global brandseverything they need to design and deliver exceptional digital experiences! Were passionate about empowering people to create beautiful and powerful images videos and apps and transform how companies interact with customers across every screen.
Were on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that new ideas can come from everywhere in the organization and we know the next big idea could be yours!
Adobe Photoshop is seeking a Staff Machine Learning Services Engineer to serve as the technical lead for our Generative AI Services this high-impact role you will lead engineering efforts collaborating closely with Research and product teams to deliver scalable high-performance GenAI systems powering flagship features in Photoshop Lightroom Firefly and our GenAI Enterprise offerings.
You will design and implement APIs and services that integrate Adobes proprietary models and third-party models. As a hands-on technical leader youll define the architectural direction uphold high engineering standards mentor peers and drive the productization of a rapidly growing GenAI portfolio. Youll be joining a committed multi-skilled team working on the foundation for some of Adobes most groundbreaking creative tools.
What youll do
Design build and maintain scalable production-grade GenAI services in the cloud
Lead architectural design and guide the development of optimized ML pipelines for cloud-based inference and integration
Drive the bridge between research and product teams throughout the lifecyclefrom prototyping to deployment
Optimize model performance GPU utilization and service orchestration at scale
Work collaboratively with PMs TPMs and engineering leads to build and implement the GenAI roadmap
Define technical direction conduct building reviews and establish guidelines for reliability scalability and maintainability
Own and improve CI/CD systems and monitoring pipelines for ML services
Mentor engineers across ML and backend fields encouraging a culture of technical excellence
Provide tier-1 production support ensuring service SLAs and customer satisfaction
What you need to succeed
MS or PhD in Computer Science or a related field or equivalent experience in the industry.
8 years experience architecting cloud services and infrastructure for large scale use reliability and performance
3 years of experience with GenAI workloadsincluding fine-tuning and inference at scale
Strong foundation in Transformer architecture Diffusion models CLIP VAE Encoder/Decoders
Deep understanding of model serving orchestration and GPU resource management in distributed environments
Knowledge of model optimization techniques (quantization pruning distillation etc.)
Expert-level coding and debugging skills in Python; familiarity with JavaScript/TypeScript is a plus
Hands-on experience with Kubernetes Docker and ML-Ops platforms (e.g. MLflow KServe Triton)
Familiarity with CUDA Torch AOTinductor and frameworks such as PyTorch TensorFlow or ONNX Runtime
Proven track record of leading complex high-stakes technical initiatives across teams
Strong problem-solving skills and a mentality for developing well-tested production-quality software
Excellent communication and multi-functional collaboration skills
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.
State-Specific Notices:
California:
Fair Chance Ordinances
Adobe will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and fair chance ordinances.
Colorado:
Application Window Notice
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:
Massachusetts Legal Notice
It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
Adobe is proud to be anEqual Employment Opportunityemployer. 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 applicable characteristics protected by law.Learn more.
Adobe aims to make 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 emailor call .
Required Experience:
Staff IC
Key Skills
- Computer Science
- Docker
- Kubernetes
- Python
- VMware
- C/C++
- Go
- System Architecture
- gRPC
- OS Kernels
- Perl
- Distributed Systems
About Company
At Adobe, you will be immersed in an exceptional work environment that is recognized throughout the world on Best Companies lists. You will also be surrounded by colleagues who are committed to helping each other grow through our unique Check-In approach where ongoing feedback flows f ... View more
