Sr. Manager, Applied Machine Learning jobs in United States
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Adobe · 22 hours ago

Sr. Manager, Applied Machine Learning

Adobe is a company focused on changing the world through digital experiences. They are seeking a Sr. Manager in Applied Machine Learning to guide and develop a team of ML engineers and data scientists, define technical roadmaps, and foster innovation in AI/ML solutions.

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

Responsibilities

Guide, coach, and develop a top-performing group of ML engineers and data scientists
Define the technical roadmap, set priorities, and guide the development of high-impact ML solutions in relevance, query understanding, and personalization
Develop strong cross-functional partnerships with product, research and engineering teams to build the product vision, ML strategy, engineering roadmap, and execution plans
Coordinate all aspects of the ML product lifecycle, including model development, data/ML pipelines, quality evaluation, and deployment
Ensure standard methodologies in MLOps, cloud deployment, and system integration for scalable, reliable applications
Foster a team culture grounded in rigorous scientific methods, deep customer understanding, and continuous innovation
Drive an engineering culture that values creativity, high-quality delivery, and operational excellence
Proactively manage project scope, mitigate risks, and solve complex problems using data-driven insights
Maintain engineering excellence in architecture, execution, and delivery
Stay on top of AI/ML advancements, fostering experimentation, learning, and embracing innovative techniques

Qualification

Machine LearningDeep LearningNatural Language ProcessingLarge Language ModelsPythonMLOpsCloud DeploymentTeam LeadershipCommunicationProblem Solving

Required

Master's or PhD in Computer Science, ML, Applied Mathematics, 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
A track record of leading a team of ML and AI engineers for at least 3 years is required
Demonstrating proven success in delivering ML-powered products at scale using foundation models and large data pipelines
Skilled at translating business needs into AI/ML solutions and taking innovations from research to production
Strong coding expertise (Python, Java) and experience with PyTorch, TensorFlow, and cloud-scale systems
Experienced leader encouraging innovation, collaboration, and high-performing engineering teams
Outstanding communicator, capable of simplifying complex concepts and encourage cross-functional alignment
Deep customer focus with a track record of driving adoption and continuous product improvement

Preferred

Experience in creative fields (such as design, media, or content platforms), particularly in applying AI to improve search, discovery, and personalization
Strong background in modern NLP, including query understanding, intent modeling, semantic search, and multimodal interaction
Hands-on experience with Large Language Models (LLMs), Diffusion Models, and other generative AI techniques
Established record of building and growing large-scale, high-functioning ML systems for production use

Benefits

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