Sr. Machine Learning Engineer
About The Position
As a Senior Machine Learning Engineer on PitchBook’s AI & ML (Insights) team, you will develop AI-powered features that extract insights from structured and unstructured data, including reports and news. You will design, build, train, deploy, optimize, and maintain machine learning models and services for user-facing features on the PitchBook Platform, with a focus on NLP, generative AI, large language models, and scalable data systems. Your work will help improve the speed, discoverability, quality, and quantity of insights available to customers by inferring meaning and structure from large volumes of data and enriching datasets with predictive and generative intelligence. You will take ownership of key technical components, contribute to architecture decisions, and work with engineers, data scientists, product managers, and data collection teams to align solutions with business goals and AI/ML strategy. You will help ensure systems meet standards for performance, reliability, security, data integrity, transparency, monitoring, evaluation, compliance, and responsible AI. The position also includes mentoring and knowledge sharing, supporting hiring and onboarding, and contributing to efficient development and deployment practices. This role is expected to be in the office five days a week in a standard office setting. Employees use a PC and phone throughout the day, and limited corporate travel to remote offices or business meetings and events may be required.
Requirements
- Bachelor’s degree in Computer Science, Mathematics, or Data Science.
- At least 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 visa sponsorship now or in the future.
Nice To Haves
- Hands-on expertise in NLP and machine learning, including classifiers, transformer models, LLMs, and 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 LangSmith and LangGraph, and production experience with these tools.
- Proficiency building and maintaining scalable data pipelines and distributed systems using technologies such as Apache Kafka, Airflow, and Snowflake.
- Strong Python and SQL skills; Java or Scala knowledge is a plus.
- Practical experience with cloud-native development, containers, and orchestration technologies such as Docker and Kubernetes.
- Ability to solve complex technical problems, contribute to architectural decisions, and deliver high-performance, reliable solutions.
- Strong communication and collaboration skills, including cross-functional work with product managers, engineers, and data scientists in globally distributed teams.
- Experience in fast-paced, data-driven environments; fintech or financial data platform exposure is an advantage.
- Research papers authored for peer-reviewed AI/ML conferences such as NeurIPS, ICML, or ACL, and participation in the broader AI research community.
Responsibilities
- Deliver AI and machine learning capabilities that generate insights on the PitchBook Platform and align with business goals and team priorities.
- Design, build, and deploy AI/ML models and services focused on NLP, summarization, semantic search, classification, and prediction.
- Develop scalable, high-performance systems that meet production reliability and efficiency standards.
- Build and optimize models using classifiers, transformers, LLMs, and other NLP techniques to generate insights from structured and unstructured data.
- Integrate models into the broader AI/ML infrastructure in collaboration with partner teams.
- Collaborate with engineering, product management, and data collection teams to ensure models use high-quality data and support product goals.
- Explore emerging GenAI, NLP, and search technologies and translate research findings into practical solutions.
- Contribute to model transparency, monitoring, evaluation, and compliance practices, and maintain security, data integrity, and responsible AI standards.
- Mentor peers, share knowledge, and participate in code and design reviews.
- Participate in candidate technical evaluations and support onboarding through documentation, pairing, and knowledge sharing.
- Apply Agile, Lean, and Fast-Flow principles to support efficient model development and deployment.
- Support company values and initiatives, and participate in projects as requested.
Benefits
- Comprehensive health benefits and additional medical wellness incentives.
- STD, LTD, AD&D, and life insurance.
- Paid sabbatical program after four years.
- Paid family and paternity leave.
- Annual educational stipend and tuition reimbursement application opportunity.
- CFA exam stipend and training programs on industry and soft skills.
- Employee assistance program.
- Vacation, sick, and volunteer days.
- Matching gifts program and employee resource groups.
- Subsidized emergency childcare and Dependent Care FSA.
- Company-wide events and quarterly team-building events.
- Employee referral bonus program.
- 401(k) match.
- Shared ownership employee stock program.
- Monthly transportation stipend.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
