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PitchBook · 17 hours ago

Sr. Machine Learning Engineer

New York, NY

Full-time

Onsite

Senior Level

$170K/yr - $240K/yr

6+ years exp

PitchBook, a Morningstar company, is seeking a Senior Machine Learning Engineer to join their Product and Engineering team. This role involves delivering AI-powered features and optimizing ML solutions to extract insights from structured and unstructured data, with a focus on natural language processing and generative AI.

AnalyticsFinanceVenture Capital

Culture & Values

No H1B

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

Apply principles from Agile, Lean, and Fast-Flow methodologies to support efficient model development and deployment cycles

Support the vision and values of the company through role modeling and encouraging desired behaviors

Participate in various company initiatives and projects as requested

Qualification

Machine Learning EngineeringNatural Language ProcessingLarge Language ModelsData Pipeline DevelopmentGenAI SystemsPython ProgrammingSQL ProficiencyCloud DevelopmentAgile MethodologiesCollaboration SkillsProblem SolvingCommunication Skills

Required

Bachelor's or advanced degree in Computer Science, Mathematics, Data Science, or a related technical field

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

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

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

Must be authorized to work in the United States without the need for visa sponsorship now or in the future

Preferred

Advanced degree preferred

Familiarity with the LangChain ecosystem, including tools such as LangSmith and LangGraph, and experience using them in production environments is a strong plus

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