Staff Machine Learning Engineer & Architect

Adobe

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profile Job Location:

San Jose, CA - USA

profile Yearly Salary: $ 172500 - 306625
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!


We are looking for a passionate Staff ML Engineer & Architect to join our Content Generation team! Together well transform research-level proof of concepts into production systems like Genstudio for Performance Marketing. We are on a mission to empower our customers to generate high-performing on-brand marketing content at scale and your work will directly drive this mission forward.

In this role youll drive system design assess ML models develop production data/ML pipelines create automation architecture build visualizations and deploy systems. Weve built a diverse lively group of engineers and scientists with deep roots in the ML space and were excited for you to bring your creativity to our multidimensional fast-paced and data-driven environment!

What youll do with us:

  • Youll train and finetune ML models that solve business use cases and handle data at scale.

  • Well work together to architect and optimize end-to-end ML pipelines ensuring theyre scalable efficient and robust.

  • Youll dive deep into data to recommend the right models evaluation metrics and governance approaches.

  • Provide hands-on technical leadership guiding engineers through architecture design implementation and best practices.

  • Work across organizational boundaries to align priorities and drive projects forward.

  • Throughout the product lifecycle youll engage in architecture design deployment and production operations of ML models and systems.

What will help you thrive:

  • Were looking for someone with a PhD or postgraduate degree in Computer Science Computer Engineering or a related fieldor equivalent experience.

  • You should bring 10 years of proven experience as a Machine Learning Engineer with successful delivery of ML projects to customers and 3 years of hands-on experience working with generative AI technologies such as LLMs evaluations fine-tuning and more.

  • Your strong Python and deep learning engineering skills paired with experience in training and inferencing with PyTorch or TensorFlow will be essential.

  • Experience with post-training techniques such as fine-tuning alignment or distillation.

  • Knowledge of deployment technologies such as Docker ML Ops and ML services is valuable and experience with cloud platforms like Azure and AWS is a plus.

  • We value excellent problem-solving abilities and your capacity to analyze complex issues and drive solutions with a data-driven approach.

  • Your strong verbal and written communication skills and success in cross-functional team environments will help us all succeed together.

Our compensation reflects the cost of labor across several U.S. geographic markets and we pay differently based on those defined markets. The U.S. pay range for this positionis $$306625 annually. Paywithin this range varies by work locationand may also depend on job-related knowledge skillsand 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 $211800 - $306625

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

Our CompanyChanging 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...
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Key Skills

  • Computer Science
  • Docker
  • Kubernetes
  • Python
  • VMware
  • C/C++
  • Go
  • System Architecture
  • gRPC
  • OS Kernels
  • Perl
  • Distributed Systems