Sr. Manager of ML Production Engineering

Responsibilities:

• Bring technical experience & leadership to critical systems including Cloud Architecture, Machine Learning Operations, back-end Software Engineering, and Distributed Systems.
• Work cross-functionally to establish product definition and design as new capabilities are brought from development into production.
• Lead and manage cross-functional engineering projects with multiple stakeholders, with regular reporting to executive stakeholders.
• Lead by example as a working manager with strong hands-on engineering fundamentals.
• Work closely with internal and contracted data providers in development of dataset for training production networks as well as development networks.
• Lead and manage senior engineers empathically; maximizing high talent individuals in dynamic product environments.
• Work with cross-functional teams across Product, Sales, Customer Success and Business Development
• Advocate for new technical architecture and innovation 
• Implement and refine development and cross-functional processes
• Hire, mentor, lead, and coach senior and principal engineers to meet their full potential
• Act as a leader for implementing best-practices across the organization

Basic Qualifications:

• Master’s degree in Computer Science, Electrical Engineering, or related field, or equivalent experience.
• A track record of commitment to prior employers.
• 5-8+ years of experience in software engineering, Dev Ops & ML Ops, or related fields.
• Strong proficiency in Python and experience with machine learning frameworks such as TensorFlow, PyTorch, MMdetection, Detectron and, Pytorch Lightning.
• Strong knowledge of machine learning pipelines and workflows for training, validation, and deployment of models, e.g. Experience with containerization and orchestration tools such as Docker, Kubernetes, Kubeflow, MLFlow.
• Strong experience with AWS cloud services
• Strong knowledge of data management processes for large-scale machine learning datasets.
• Experience with DevOps and Infrastructure as Code (IaC) tools such as Terraform, Ansible, or CloudFormation.
• Strong knowledge of software engineering best practices, including version control, testing, and deployment.
• Experience with model quantization, distillation or other compression techniques.
• Excellent communication and collaboration skills.

Nice to Have:

• Master's degree or PhD in Computer Science, or related field
• Strong knowledge of C++
• Experience with 3D graphics, computer vision, point clouds, or spatial data
• Experience with data streaming and real-time processing frameworks such as Kafka
• Experience with ML dataset management tooling, such as Activeloop Deeplake.
• Experience with database technologies such as PostgreSQL, MySQL, or MongoDB.
• Experience with big data technologies such as Snowflake, Spark, or Hive.
• Experience with model interpretability and explainability techniques.
• Experience with building and deploying machine learning models on edge devices or IoT devices

What’s In It For You?

• When you join CoStar Group, you’ll experience a collaborative and innovative culture working alongside the best and brightest to empower our people and customers to succeed. 


• We offer you generous compensation and performance-based incentives. CoStar Group also invests in your professional and academic growth with internal training, tuition reimbursement, and an inter-office exchange program. 


Our benefits package includes (but is not limited to): 
• Comprehensive healthcare coverage: Medical / Vision / Dental / Prescription Drug
• Life, legal, and supplementary insurance
• Virtual and in person mental health counseling services for individuals and family
• Commuter and parking benefits
• 401(K) retirement plan with matching contributions
• Employee stock purchase plan
• Paid time off
• Tuition reimbursement
• On-site fitness center and/or reimbursed fitness center membership costs (location dependent)
• Access to CoStar Group’s Diversity, Equity, & Inclusion Employee Resource Groups
• Complimentary gourmet coffee, tea, hot chocolate, fresh fruit, and other healthy snacks