Engineering Manager, Machine Learning Operations
As an Engineering Manager for Machine Learning Operations at PitchBook Data, you will lead the MLOps team within the Technology & Engineering division. This team is dedicated to enhancing the Machine Learning Development Life Cycle (MLDLC) by providing tools and best practices that support various projects, including Generative AI, Large Language Models, Natural Language Processing, Classification, and Regression. Your leadership will be pivotal in driving AI innovations across the organization.
In this role, you will oversee the direction and execution of the MLOps team, collaborating closely with engineering leadership and product management to develop roadmaps, define key performance indicators, and achieve success criteria. Responsibilities include ensuring effective communication across geographically dispersed teams, enabling scalable solutions that meet high standards of reliability and efficiency, and championing the adoption of machine learning best practices to foster a culture of innovation and experimentation.
The ideal candidate will possess a Bachelor's, Master's, or PhD in Computer Science, Mathematics, Data Science, or a related field. A minimum of 3 years in an engineering leadership role managing globally distributed teams is required, along with over 6 years of hands-on experience in developing and deploying machine learning algorithms and services. Proficiency with cloud platforms such as AWS or GCP, containerization technologies like Kubernetes and Docker, and programming languages including Python is essential. Strong problem-solving skills, excellent communication abilities, and a collaborative mindset are also critical for success in this position.
Compensation for this role includes an annual base salary ranging from $240,000 to $300,000, with a target annual bonus percentage of 15%. Benefits encompass comprehensive health coverage, paid family and paternity leave, an annual educational stipend, robust training programs, a 401(k) match, and a shared ownership employee stock program. Additional perks include a paid sabbatical program after four years, generous vacation and sick days, and various employee resource groups and company-wide events.
PitchBook Data fosters a deeply collaborative culture that thrives on curiosity, innovation, and customer empathy. The company invests heavily in its people, offering extensive learning programs and mentorship opportunities to encourage continuous improvement. Employees are encouraged to take risks, learn from failures, and pursue excellence in a supportive and dynamic environment.