Senior Machine Learning Engineer, ZoomInfo

• 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

• 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
• 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
• 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
• 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
• 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
• 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
• 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
• 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
• 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

• Benefits for the Best You - 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
• Base Pay - We attract and retain the best talent with competitive compensation that aligns with industry benchmarks and merit programs yearly for promotions and salary increases based on performance, time in role, and position to market
• Bonus - When you crush it, we like to celebrate! Bonuses are awarded annually in connection with company and individual performance
• Equity - We offer each employee a generous equity award in the form of RSUs, so they can directly feel the results and success of their hard work
• Vacation & Time Off - We know everyone's needs are different so we offer flexible paid time off plans including an unlimited vacation option for many employees
• Hybrid Working Model - We offer flexible hybrid remote working models to promote equity, employee wellness, and work life balance

Total funding: $7m

It was only a few years ago when B2B sales teams relied on warm introductions and contact books. Now, cloud-based CRM, automation and Big Data are critical tools for any selling process. ZoomInfo’s B2B contact base has played a massive part in that journey.