Sr. Machine Learning Engineer
Description For Sr. Machine Learning Engineer
Adobe, a leader in digital experiences, is seeking a Senior Machine Learning Engineer to join their Experience Intelligence team's Content Generation group. This role focuses on transforming research-level PoCs into production systems like Genstudio for Performance Marketing. The position offers an opportunity to work on groundbreaking data-driven features that directly impact customers' ability to generate high-performing, on-brand marketing content at scale.
The ideal candidate will join a diverse, established team of engineers and scientists in the ML space, working in a dynamic, fast-paced, creative, and data-driven environment. The role involves developing and deploying sophisticated machine learning models, with a particular focus on generative AI technologies and LLMs.
Key responsibilities include architecting end-to-end ML pipelines, developing scalable models for business use cases, and engaging in the full product lifecycle from design to production deployment. The position requires expertise in Python, deep learning frameworks, and modern ML tools like Hugging Face and LangChain.
Adobe offers a competitive compensation package, with a salary range of $142,700 - $257,600 annually, plus additional benefits including an Annual Incentive Plan and equity awards. The company is committed to fostering innovation and values diverse perspectives, making it an ideal environment for ML professionals looking to make a significant impact in the field of digital experiences.
The role is based in San Jose, California, and requires a combination of technical expertise, problem-solving skills, and strong communication abilities. This position offers the opportunity to work on cutting-edge ML technologies while contributing to Adobe's mission of changing the world through digital experiences.
Responsibilities For Sr. Machine Learning Engineer
- Develop models essential for solving business use cases that handle data at scale
- Architect and optimize end-to-end ML pipelines, ensuring scalability, efficiency, and robustness
- Understand data to recommend the right models, evaluation metrics, and governance approaches
- Engage in the full product lifecycle, including architecture, design, deployment, and production operations of ML models and systems
Requirements For Sr. Machine Learning Engineer
- Master's degree in Computer Science, Computer Engineering, or a related field—or equivalent experience
- 5+ years of proven experience as a Machine Learning Engineer with a track record of successfully delivering machine learning projects to customers
- 2+ years of strong hands-on experience working on generative AI technology such as LLM, evals, LLM-as-a-judge, fine-tuning, etc
- Strong Python and deep learning engineering skills with experience in one or more training or deployment environments (PyTorch, TensorFlow)
- Experience with LLM frameworks and tools such as Hugging Face, LangChain, PEFT, and LlamaIndex
- Experience with deployment technologies such as Docker and knowledge of ML Ops and ML services is a plus
- Experience with cloud platforms such as Azure and AWS is a plus
- Excellent problem-solving skills, with the ability to analyze complex issues and drive solutions with a data-driven approach
- Strong verbal and written communication skills, with proven ability to work in cross-functional teams
Benefits For Sr. Machine Learning Engineer
- Competitive salary range of $142,700 - $257,600 annually
- Annual Incentive Plan (AIP)
- Long-term incentives in the form of new hire equity award
Jobs Related To Adobe Sr. Machine Learning Engineer
