Senior Machine Learning Engineer

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 expanding 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.

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