Senior Applied Science Manager
1 week ago
DocuSign is a leader in digital transaction management, empowering over 1.5 million customers and more than a billion users globally. Our solutions streamline business processes and enhance everyday life. By harnessing intelligent agreement management, we unlock vital business data that resides within documents, previously isolated from core business systems, leading to inefficiencies. With our Intelligent Agreement Management (IAM) platform, organizations can efficiently create, execute, and oversee agreements using cutting-edge e-signature and contract lifecycle management (CLM) technologies.
Role ResponsibilitiesAs the Senior Manager for the DocuSign AI Applied Science division, you will spearhead a dedicated team of applied scientists, establishing benchmarks for technical excellence in Applied Science and Machine Learning. Your leadership will focus on developing the foundational AI/ML capabilities and models that drive our innovative IAM platform.
Your role includes mentoring Applied Scientists, utilizing advanced machine learning methodologies for natural language processing to enhance the drafting, summarization, signing, management, and querying of agreements. The ideal candidate will possess comprehensive experience in designing, developing, fine-tuning, and assessing machine learning solutions, including large language models (LLMs). You will collaborate closely with product and platform teams to deliver AI solutions that facilitate agreement comprehension, information extraction, semantic search, and question answering.
Utilizing your expertise in AI and machine learning, you will help shape our AI strategy and influence executive decision-making. Your technical acumen and team-building skills will be essential in cultivating a premier ML team, delivering top-tier AI experiences to users across the DocuSign Agreement Platform.
This position entails managerial responsibilities and reports directly to the Director of Machine Learning.
Key Responsibilities- Lead and expand a high-performing applied science team, attracting and nurturing exceptional talent.
- Serve as a role model, fostering a positive team culture.
- Demonstrate leadership to achieve strategic objectives.
- Guide your Applied Science team in model development, research, and evaluation of both established and emerging NLP/ML/DL techniques and models, including open-source and licensed LLMs, applicable to the contract domain.
- Oversee multiple initiatives, facilitate cross-team collaboration, and shape the technical roadmap for applied scientists and ML engineers.
- Work in tandem with Product Management to translate user needs and product specifications into robust, customer-centric machine learning solutions, ensuring timely delivery of high-quality AI/ML features.
- Possess knowledge of and strategize the application of state-of-the-art technologies for NLP tasks, including long document comprehension, entity extraction, text encoding, LLM fine-tuning, semantic search, question answering, query intent detection, and document layout analysis.
- Provide mentorship in applied science best practices, modeling and evaluation techniques, responsible AI, model interpretability, and dataset enhancement.
- Deliver AI products that exceed customer expectations while maintaining the integrity of the codebase through ongoing refactoring and management of technical debt.
Essential
- Master's degree in Computer Science or a related discipline.
- 8+ years of experience in designing, modeling, deploying, and monitoring machine learning and deep learning solutions.
- 2+ years of experience in managing teams of Applied Scientists or ML Engineers.
- 6+ years of experience with deep neural networks and developing NLP/NLU solutions.
- Hands-on experience with contemporary NLP models such as BERT, SentenceBert, and LLMs like GPT, Gemini, and Llama.
- Proficiency in programming with Python, PyTorch, TensorFlow, spaCy, scikit-learn, or similar machine learning frameworks.
Desirable
- Proven track record of leading geographically diverse teams.
- Familiarity with Retrieval-Augmented Generation (RAG) and LLM agentic methodologies.
- Experience with Computer Vision techniques, particularly in document layout analysis and OCR, as well as knowledge of vision transformer models.
- Experience in multilingual LLM pretraining or fine-tuning.
- A strong commitment to staying ahead of industry trends and technologies through continuous learning.
Compensation for this role is determined by various factors, including geographic location, and may vary based on job-related knowledge, skills, and experience.
In accordance with applicable regulations, the following pay ranges apply in certain locations:
California: $195,000 - $315,775.00 base salary
Washington and New York (including NYC metro area): $186,000 - $276,125.00 base salary
This position is also eligible for bonuses, equity, and benefits.
Equal Opportunity EmploymentWe are committed to building a diverse team that reflects our customer base, ensuring all employees feel a sense of belonging and can thrive. We encourage talented individuals from diverse backgrounds to apply for our open positions. DocuSign is an Equal Opportunity Employer, making hiring decisions based on experience, skills, aptitude, and a positive attitude. We do not discriminate based on race, ethnicity, color, age, sex, religion, national origin, ancestry, pregnancy, sexual orientation, gender identity, gender expression, genetic information, physical or mental disability, registered domestic partner status, caregiver status, marital status, veteran or military status, or any other legally protected category.
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