Software Engineer - AI/ML Applications

Adobe; San Jose (CA); On-site; USD 100,000 - 150,000; Full time

Job summary

An innovative company is seeking a talented Software Engineer to join their dynamic Content Generation team. In this exciting role, you'll be at the forefront of transforming research-level concepts into robust production systems that empower clients to create impactful marketing content. You'll design and develop ML pipelines, build REST APIs, and engage in the full product lifecycle. Join a diverse team of engineers and scientists in a fast-paced, data-driven environment where your creativity will thrive, and make a real impact in the world of AI and machine learning. This is a fantastic opportunity for those passionate about technology and innovation!

Benefits

Competitive compensation

Comprehensive health benefits

Flexible work arrangements

Opportunities for continued learning and development

Qualifications

• 3+ years of experience as a Software Engineer in ML/Gen AI.
• Strong skills in Python and REST APIs, with experience in deployment technologies.

Responsibilities

• Develop and deploy ML services from zero to production.
• Architect and optimize end-to-end ML pipelines.

Skills

Python

REST APIs

ML Ops

Problem-solving

Communication Skills

Education

Graduate or postgraduate degree in Computer Science

Equivalent experience in related field

Tools

Docker

Azure

AWS

Hugging Face

LangChain

PEFT

LlamaIndex

Job description

Join to apply for the Software Engineer - AI/ML Applications role at Adobe.

Our Company
Changing the world through digital experiences is what Adobe’s all about. We give everyone—from emerging artists to global brands—everything they need to design and deliver exceptional digital experiences! We’re passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen.

We’re 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 at the Experience Intelligence team are looking for a passionate Software Engineer to join our Content Generation team! Together, we'll 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, you'll drive system design, develop production data/ML pipelines, build REST APIs, create automation architecture, and deploy systems. We've built a diverse, lively group of engineers and scientists with deep roots in the ML space, and we're excited for you to bring your creativity to our multidimensional, fast-paced, and data-driven environment!

What you'll do with us:

1. Develop and deploy ML services from zero to production that solve business use cases and handle data at scale.
2. Architect and optimize end-to-end ML pipelines, ensuring they're scalable, efficient, and robust.
3. Engage in architecture, design, deployment, and production operations of ML models and systems throughout the product lifecycle.

What will help you thrive:

• Graduate or postgraduate degree in Computer Science, Computer Engineering, or a related field—or equivalent experience.
• 3+ years of proven experience as a Software Engineer with successful project delivery, preferably in ML/Gen AI domain.
• Strong Python and REST API skills, experience with deployment technologies such as Docker, ML Ops, and ML services; experience with cloud platforms like Azure and AWS is essential.
• Experience with LLM frameworks and tools like Hugging Face, LangChain, PEFT, and LlamaIndex is a plus.
• Excellent problem-solving abilities and a data-driven approach to complex issues.
• Strong verbal and written communication skills and experience working in cross-functional teams.

What we offer:

Competitive compensation, comprehensive health benefits, flexible work arrangements, and opportunities for continued learning and development. Our collaborative culture encourages growth, innovation, and making a real impact in the field of machine learning and AI.