Senior Machine Learning Engineer

Adobe Systems GmbH; San Jose (CA); On-site; USD 142,000 - 258,000; Full time

Job summary

A leading technology company is seeking a Senior Machine Learning Engineer to join their B2B Solutions team. The ideal candidate will develop AI-driven systems that enhance user experiences and improve business opportunities, while offering guidance to junior team members. This role requires a strong background in computer science and considerable experience in machine learning frameworks.

Qualifications

• 2-5 years of industry experience in related fields.
• Experience with agentic frameworks and deployment strategies.
• Familiarity with large language models and generative AI is a plus.

Responsibilities

• Creating AI agents that enhance product ecosystems.
• Developing frameworks that integrate various AI technologies.
• Building testing methodologies for agent effectiveness.

Skills

Algorithm development

Machine learning frameworks

Deep learning techniques

Statistical modeling

Software engineering fundamentals

Education

Bachelor's or Master's in Computer Science or AI

Ph.D. or equivalent experience in related field

Tools

PyTorch

Huggingface

LangGraph

LangChain

Job description

JOB LEVEL

P40

EMPLOYEE ROLE

Individual Contributor

The Adobe Business to Business (B2B) Solutions team is looking for a Senior Machine Learning Engineer. In this role you will build agentic systems to enhance Adobe's marketing products, ship AI-driven systems to production, and work closely with business and product teams. Your efforts will play a crucial role in shaping the future of our innovative advancements, improving user experiences and unveiling new business opportunities.

Key Responsibilities The ideal candidate will focus on:

• Creating innovative AI agents that enhance and extend our product ecosystem through automation and intelligence
• Developing sophisticated agent frameworks that seamlessly integrate multiple AI technologies including LLMs and traditional ML
• Building comprehensive testing methodologies to evaluate agent effectiveness, reliability, and alignment with objectives
• Connecting existing systems with new agentic frameworks
• Developing efficient prompt engineering strategies for large language model integration
• Working with cross-functional teams and collaborators during development and productization of AI applications
• Guiding junior team members, providing technical direction, and helping others grow their skills
• Understanding how AI components interact within larger technical ecosystems and business processes

Required Qualifications

• Bachelor's or Master's degree in Computer Science, AI, or related technical field with 2-5 years of industry experience
• Demonstrated experience with algorithm development and implementation
• Proficiency in machine learning frameworks such as PyTorch, Huggingface, and modern programming languages
• Experience with agentic frameworks such as LangGraph, LangChain
• Experience with deep learning techniques and applications
• Strong software engineering fundamentals and system design skills
• Knowledge of statistical modeling and data analysis techniques

Preferred Qualifications

• Ph.D. or equivalent experience in Computer Science, AI, or related technical field with 2+ years of industry experience
• Experience with large language models and generative AI applications
• Familiarity with agent architectures, planning systems, or autonomous systems
• Knowledge of machine learning operations and deployment strategies
• Understanding of AI safety and alignment considerations
• Background in large-scale data processing and analysis

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 $142,700 -- $257,600 annually. Paywithin this range varies by work locationand 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.

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.

Internal Opportunities

Creativity, curiosity, and constant learning are celebrated aspects of your career growth journey. We’re glad that you’re pursuing a new opportunity at Adobe!

Put your best foot forward:

1. Update your Resume/CV and Workday profile – don’t forget to include your uniquely ‘Adobe’ experiences and volunteer work.

2. Visit the Internal Mobility page on Inside Adobe to learn more about the process and set up a job alert for roles you’re interested in.

3. Check out these tips to help you prep for interviews.

4. If you are applying for a role outside of your current country, ensure you review the International Resources for Relocating Employees on Inside Adobe, including the impacts to your Benefits, AIP, Equity & Payroll.

Once you apply for a role via Workday, the Talent Team will reach out to you within 2 weeks. If you move into the official interview process with the hiring team, make sure you inform your manager so they can champion your career growth.

At Adobe, you will be immersed in an exceptional work environment that is recognized around the world. 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 freely. If you’re looking to make an impact, Adobe's the place for you. Discover what our employees are saying about their career experiences on the Adobe Life blog and explore the meaningful benefits we offer.

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