PitchBook Data - Sr. Machine Learning Engineer
Requirements
• Bachelor’s in Computer Science, Mathematics, or Data Science • 6+ years of experience in software engineering or machine learning engineering, with a strong focus on AI/ML applications in insight generation, summarization, semantic search, and prediction • Must be authorized to work in the United States without the need for visa sponsorship now or in the future • Demonstrated expertise in natural language processing (NLP) and machine learning, including hands-on experience with classifiers, transformer models, large language models (LLMs), and widely used ML and data science libraries such as scikit-learn, pandas, numpy, TensorFlow, and PyTorch • Experience delivering production-grade GenAI or LLM-based systems with measurable business impact • Familiarity with the LangChain ecosystem, including tools such as LangSmith and LangGraph, and experience using them in production environments is a strong plus • Deep proficiency in building and maintaining scalable data pipelines and distributed systems using technologies such as Apache Kafka, Airflow, and cloud data platforms like Snowflake • Strong programming skills in Python and SQL, with working knowledge of additional languages such as Java or Scala considered a plus • Practical experience with cloud-native development, containerization, and orchestration technologies such as Docker and Kubernetes • Demonstrated ability to solve complex technical problems, contribute to architectural decisions, and deliver high-performance, reliable solutions • Excellent communication and collaboration skills, with experience working cross-functionally with product managers, engineers, and data scientists in globally distributed teams • Experience working in fast-paced, data-driven environments. Prior exposure to fintech or financial data platforms is a strong advantage • Experience authoring research papers for peer-reviewed AI/ML conferences (e.g., NeurIPS, ICML, ACL) and participating in the broader AI research community is strongly preferred
Responsibilities
• Deliver high-impact AI and ML capabilities that drive insight generation on the PitchBook Platform. Ensure your work contributes to broader business goals and is aligned with the team's strategic priorities • Provide hands-on expertise in designing, building, and deploying AI/ML models and services with a focus on NLP, summarization, semantic search, classification, and prediction. Contribute to the development of scalable, high-performance systems that meet production-grade reliability and efficiency standards • Support a culture of technical excellence by mentoring peers, sharing knowledge, and participating in code and design reviews. Promote innovation and continuous improvement through collaborative engineering practices • Build and optimize models that leverage classifiers, transformers, LLMs, and other NLP techniques to generate meaningful insights from structured and unstructured data. Integrate these models into the broader AI/ML infrastructure in collaboration with partner teams • Collaborate with engineering, product management, and data collection teams to ensure models are informed by high-quality data and support strategic product goals • Explore and experiment with emerging technologies, methodologies, and tools in the fields of GenAI, NLP, and search. Translate research findings into practical solutions that enhance PitchBook’s AI capabilities • Contribute to best practices in model transparency, monitoring, evaluation, and compliance. Help maintain high standards of security, data integrity, and responsible AI use across your projects • Participate in the technical evaluation of candidates and help onboard new team members by contributing to documentation, pairing, and knowledge-sharing practices • Support the vision and values of the company through role modeling and encouraging desired behaviors • Participate in various company initiatives and projects as requested
Benefits
• Physical Health • Comprehensive health benefits • Additional medical wellness incentives • STD, LTD, AD&D, and life insurance • Emotional Health • Paid sabbatical program after four years • Paid family and paternity leave • Annual educational stipend • Ability to apply for tuition reimbursement • CFA exam stipend • Robust training programs on industry and soft skills • Employee assistance program • Generous allotment of vacation days, sick days, and volunteer days • Matching gifts program • Employee resource groups • Subsidized emergency childcare • Dependent Care FSA • Company-wide events • Employee referral bonus program • Quarterly team building events • Financial Health • Monthly transportation stipend • Please be aware the above PitchBook benefit and perk offerings are subject to corresponding plan and policy documents and may change during the course of your employment. • Annual base salary: $170,000-$240,000 • Target annual bonus percentage: 10% • Working Conditions: • Working Conditions: • At the heart of our company is a belief in the power of in-person collaboration. Being together in the office fuels our creativity, strengthens our connections, and drives the innovation that sets us apart. Our culture is built on spontaneous moments—those hallway conversations, whiteboard brainstorms, and shared celebrations in each of our global offices—that simply can’t be replicated remotely. This role is expected to be in the office 5 days a week. • The job conditions for this position are in a standard office setting. Employees in this position use PC and phone on an on-going basis throughout the day. Limited corporate travel may be required to remote offices or other business meetings and events. • We are excited to get to know you and your background. Concerned that you might not meet every requirement? We encourage you to still apply as you might be the right candidate for the role or other roles at PitchBook.
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