We are looking for an Engineering Manager, Machine Learning Operations to lead and manage PitchBook's MLOps team. The team is responsible for enabling PitchBook's Machine Learning teams and practitioners by providing tools and golden paths that optimize all aspects of the Machine Learning Development Life Cycle (MLDLC).
Requirements
- Bachelor’s, Master’s, or PhD in Computer Science, Mathematics, Data Science, or a related field
- 5+ years of experience in an engineering leadership role, managing globally distributed teams
- 6+ years of experience in hands-on development of Machine Learning algorithms
- 6+ years of experience in hands-on deployment of Machine Learning services
- 6+ years of experience supporting the entire MLDLC, including post-deployment operations such as monitoring and maintenance
- 6+ years of experience with Amazon Web Services (AWS) and/or Google Cloud Platform (GCP)
- Experience with at least 70%: PyTorch, Tensorflow, LangChain, scikit-learn, Redis, Elasticsearch, Amazon SageMaker, Google Vertex AI, Weights & Biases, FastAPI, Prometheus, Grafana, Apache Kafka, Apache Airflow, MLflow, and KubeFlow
- Ability to break large, complex problems into well-defined steps, ensuring iterative development and continuous improvement
- Experience in cloud-native delivery with a deep practical understanding of containerization technologies such as Kubernetes and Docker, and the ability to manage these across different regions
- Proficiency in GitOps and creation/management of CI/CD pipelines
- Demonstrated experience building and using SQL/NoSQL databases
- Demonstrated experience with Python (Java is a plus) and other relevant programming languages and tools
- Excellent problem-solving skills with a focus on innovation, efficiency, and scalability in a global context
- Strong communication and collaboration skills, with the ability to engage effectively with internal customers across various cultures and regions
- Ability to be a team player who can also work independently
- Experience working across multiple development teams is a plus
- Proficiency with the Microsoft Office suite including in-depth knowledge of Outlook, Word, and Excel with the ability to pick up new systems and software easily
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
- Social Health
- 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
- 401k match
- Shared ownership employee stock program
- Monthly transportation stipend
