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ZoomInfo is a leader in providing Go-To-Market Software aimed at empowering sales professionals through predictive intelligence and advanced data solutions. We focus on building cutting-edge technology that leverages data-driven insights to drive sales productivity and efficiency. Join our Applied AI team to innovate and develop state-of-the-art recommendation systems designed to transform the sales landscape for ZoomInfo's vast customer base.
What You'll do:
Deep Learning Model Development:
- Implement and adapt state-of-the-art deep learning models (RNN/GNN/Transformer) to solve complex business problems using PyTorch and TensorFlow.
- Develop and optimize small language models (SLM) and large language models (LLMs) using quantization and distillation techniques, focusing on NLP applications.
MLOps Lifecycle Management:
- Architect and manage scalable MLOps and LLMOps infrastructure for robust model training, evaluation, deployment, and monitoring systems.
- Design comprehensive CI/CD pipelines, implement model monitoring frameworks to identify drift patterns, and ensure high availability and fault tolerance.
End-to-End Machine Learning Systems:
- Build and manage end-to-end Retrieval-Augmented Generation (RAG) systems while integrating vector databases and implementing hybrid retrieval techniques.
- Utilize vector databases (Pinecone, Milvus, Weaviate, Chroma) and lead the creation of agentic systems using ReAct framework for industry-specific enterprise applications.
Cross-Functional Collaboration:
- Work closely with engineers, data scientists, and product managers to translate machine learning solutions into scalable business applications.
- Act as a subject matter expert, facilitating cross-department projects and aligning ML strategies with the overall product vision.
Project Leadership & Technical Communication:
- Lead and mentor junior team members in applying machine learning to industry-specific sales applications.
- Represent ML initiatives both internally and externally through technical presentations, blogs, and conference appearances.
Strategic Influence:
- Drive the development and alignment of machine learning roadmaps with product strategy.
- Present business cases and justifications for ML projects to leadership, influencing strategic decisions and funding.
Recommendation system:
- Build large scale recommendation systems utilizing embeddings generated for structured and unstructured data using methods such as a two tower architecture
- Performant recommendation designs which can scale to millions of recommendations per day for different product features.
What you bring:
- 8 years of relevant experience and a Bachelors degree in Computer Science or relevant field OR Masters degree with 4 years OR PhD with 3 years of experience (required).
- Proven expertise in designing and implementing deep learning models for real-world applications, with a focus on SLMs, LLMs and NLP.
- Proven expertise in building large scale recommendation systems
- Advanced ability in architecting and optimizing MLOps infrastructures, including monitoring, CI/CD pipeline design, A/B testing, and back testing frameworks.
- Extensive experience in RAG systems and vector database management, with a preference for OpenSource, Elasticsearch, and Solr systems.
- Clear track record of leadership in cross-functional communication and collaboration, expertly managing technical projects and stakeholder engagement.
- Strong analytical and problem-solving skills, coupled with the ability to communicate technical concepts effectively to non-technical stakeholders.
- Demonstrated ability to drive machine learning strategies aligned with business goals, create precise documentation, influence decision-making, and adhere to best practices in AI ethics.
What's In It for you:
- Join a forward-thinking company striving to revolutionize sales intelligence and customer engagement with state-of-the-art AI and ML technologies.
- Work in a collaborative and supportive environment where innovative ideas are encouraged and nurtured.
- Lead impactful projects with the potential to significantly enhance the sales operations of major enterprises globally.
- Take advantage of professional growth opportunities within a rapidly growing, cutting-edge AI team.
Apply now to become a key player in reshaping the future of sales intelligence and recommendation systems at ZoomInfo.
Actual compensation offered will be based on factors such as the candidate’s work location, qualifications, skills, experience and/or training. Your recruiter can share more information about the specific salary range for your desired work location during the hiring process. We want our employees and their families to thrive.
In addition to comprehensive benefits we offer holistic mind, body and lifestyle programs designed for overall well-being. Learn more about ZoomInfo benefits here.
Below is the US base salary for this position. Additional compensation such as Bonus, Commission, Equity and other benefits may also apply.$180,000—$247,500 USDAbout us:
ZoomInfo (NASDAQ: ZI) is the Go-To-Market Intelligence Platform that empowers businesses to grow faster with AI-ready insights, trusted data, and advanced automation. Its solutions provide more than 35,000 companies worldwide with a complete view of their customers, making every seller their best seller.
ZoomInfo may use a software-based assessment as part of the recruitment process. More information about this tool, including the results of the most recent bias audit, is available here.
ZoomInfo is proud to be an equal opportunity employer, hiring based on qualifications, merit, and business needs, and does not discriminate based on protected status. We welcome all applicants and are committed to providing equal employment opportunities regardless of sex, race, age, color, national origin, sexual orientation, gender identity, marital status, disability status, religion, protected military or veteran status, medical condition, or any other characteristic protected by applicable law. We also consider qualified candidates with criminal histories in accordance with legal requirements.
