Senior Manager – Applied Research – AI Foundations – Adobe Express
| Company | Adobe |
|---|---|
| Location | San Jose, CA, USA |
| Salary | $168200 – $340100 |
| Type | Full-Time |
| Degrees | Bachelor’s, Master’s, PhD |
| Experience Level | Senior |
Requirements
- Bachelor’s, Master’s, or PhD in Computer Science, ML, Applied Mathematics, Data Science, or a related technical field, or equivalent technical experience.
- At least 8 years of industry experience in machine learning, optimization algorithms, and/or deep-learning techniques.
- At least 3 years of experience managing a team of ML and AI engineers.
- Proven record of leading and managing engineering teams and fostering an innovative and collaborative environment.
- Track record of delivering cloud-scale, data-driven products and services that are widely adopted with large customer bases.
- A relentless pursuit of great customer experiences and continuous improvements to the product.
- Strong interpersonal, analytical, problem-solving, and conflict resolution skills.
- Excellent speaking, writing, and presentation skills, and the ability to persuade, encourage, and empower others.
- Ability to clearly communicate technical concepts to non-technical internal partners and customers.
Responsibilities
- Cultivate strong partnerships with Adobe Research, AI Foundations Applied Research and Engineering teams and other partner teams shape the product vision, roadmap, and business strategy.
- Oversee all facets of ML product development and the software engineering lifecycle, including ML modeling, data/ML pipelines, and quality evaluations.
- Recruit, lead, and mentor a team with varied strengths of ML engineers and data scientists.
- Cultivate a team culture centered on meticulous scientific methods and deep customer engagement.
- Promote an engineering culture that values innovation and creativity while ensuring high-quality, reliable product deliveries.
- Lead project scope and address risks through data analytics and creative problem-solving.
- Uphold engineering excellence in architecture, execution, and delivery.
Preferred Qualifications
- Work experience in Creative Domains, Imaging Domains will be highly useful.
- Good exposure to LLMs and Diffusion Models.
- Experience developing large scale systems.