Senior Applied Science Manager
1 week ago
DocuSign is at the forefront of transforming agreements into actionable outcomes. With over 1.5 million clients and a billion users across more than 180 nations, our solutions streamline business processes and enhance everyday life. By harnessing intelligent agreement management, DocuSign unlocks vital business data that was previously isolated within documents, which has cost organizations time, resources, and opportunities. Our Intelligent Agreement Management (IAM) platform empowers businesses to create, execute, and oversee agreements, backed by the leading provider in e-signature and contract lifecycle management (CLM).
Key ResponsibilitiesAs a Senior Manager within 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 core AI/ML capabilities and models that drive our innovative IAM platform.
You will mentor and guide the Applied Scientists, utilizing cutting-edge 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, constructing, fine-tuning, and assessing machine learning solutions, including large language models (LLMs). In collaboration with product and platform stakeholders, you will play a pivotal role in delivering AI solutions for agreement comprehension, information extraction, semantic search, and question answering.
Your expertise in AI and machine learning will be instrumental in advancing our AI strategy and influencing senior leadership. You will combine your technical acumen with team-building skills to cultivate a premier ML team that delivers exceptional AI experiences to customers across the DocuSign Agreement Platform.
This role involves people management and reports directly to the Director of Machine Learning.
Responsibilities Include- Lead and expand a high-performing applied science team, attracting and nurturing top talent.
- Serve as a role model and promote a positive team culture.
- Provide leadership to achieve our 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, to unlock innovative use cases in the contract domain.
- Oversee multiple initiatives, facilitate cross-team collaboration, and shape the technical roadmap while guiding the efforts of applied scientists and ML engineers.
- Collaborate closely with Product Management to translate user needs and product specifications into robust, customer-agnostic machine learning solutions, ensuring timely delivery of high-quality AI/ML features.
- Stay informed about state-of-the-art technologies for NLP tasks, including long document comprehension, entity extraction, text encoding, LLM fine-tuning, semantic search, question answering, and document layout analysis.
- Provide coaching and leadership in applied science best practices, modeling and evaluation techniques, responsible AI, 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.
Basic Requirements
- 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 people management, leading 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 equivalent machine learning frameworks.
Preferred Qualifications
- 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 position is determined by various factors, including geographic location, and may vary based on job-related knowledge, skills, and experience.
In accordance with applicable legislation, below are the pay ranges for specific 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 role is also eligible for bonuses, equity, and benefits.
Equal Opportunity EmployerWe are committed to building a diverse team that reflects our customer base, ensuring all employees feel a strong sense of belonging and can thrive. We encourage talented individuals from various backgrounds to apply for our open positions. DocuSign is an Equal Opportunity Employer and makes hiring decisions based on experience, skills, aptitude, and a proactive approach. 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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