Staff Applied Scientist jobs in United States
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Adobe · 3 hours ago

Staff Applied Scientist

Adobe is a company focused on changing the world through digital experiences. They are seeking a Staff Applied Scientist to identify business needs, build predictive models, and leverage AI technologies to enhance their business operations.

Artificial Intelligence (AI)ConsultingEnterprise SoftwareGraphic DesignImage RecognitionPhoto EditingSaaSSoftwareUX DesignWeb Design
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Growth Opportunities
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H1B Sponsor Likelynote

Responsibilities

Identify business needs and transform them into statistical problems
Collect and cleanse large amounts of real-world customer usage and commerce data in various product environments
Build predictive models from extensive datasets to solve business problems using sophisticated statistical analysis, machine learning, or data mining methods
Deliver informative and effective findings, results, and recommendations from machine learning models to collaborators, and build dashboards of key statistics and metrics
Leverage Large Language Models (LLMs) and develop AI Agents/Tools to enhance Adobe's business
Integrate LLM-based solutions into Adobe workflows, ensuring scalability, performance, and compliance

Qualification

Statistical modelingMachine learningDeep learningLarge Language ModelsPythonRCloud platformsBig data techniquesCommunicationTeam-player attitude

Required

A PhD or MS degree in Computer Science, Statistics, Electrical Engineering, Applied Math, Operations Research, Econometrics, or related fields
Strong expertise in statistical modeling, machine learning, deep learning, or data mining concepts, supported by a history of effectively resolving issues through these approaches
Proficiency in one or more programming languages such as Python, Java, Scala, and C
Familiarity with machine learning or statistical modeling tools such as R, scikit-learn, and Spark MLlib
Hands-on experience with LLM frameworks and GenAI application development
Understanding of prompt engineering, model fine-tuning, and evaluation techniques for LLMs
Strong analytical and quantitative problem-solving skills
Excellent communication and relationship skills, and a strong team-player attitude

Preferred

Experience with big data techniques (such as Hadoop, MapReduce, Hive, Pig, Spark)
4+ years of experience in machine learning, data mining, information retrieval, or statistical analysis
Knowledge of cloud platforms (such as AWS or Azure) and experience developing applications on these platforms using various cloud services
Experience with Econometric models
Experience deploying LLM-based solutions in production environments, including optimization for latency and cost

Benefits

Annual Incentive Plan (AIP)
Long-term incentives in the form of a new hire equity award

Company

Adobe is a software company that provides its users with digital marketing and media solutions.

H1B Sponsorship

Adobe has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (1160)
2024 (1217)
2023 (750)
2022 (878)
2021 (742)
2020 (477)

Funding

Current Stage
Public Company
Total Funding
$2.5M
Key Investors
Apple
1986-08-20IPO
1984-10-01Series Unknown· $2.5M

Leadership Team

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Shantanu Narayen
CEO
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Dan Durn
Chief Financial Officer
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Company data provided by crunchbase