Senior Manager ML Production Engineering

Senior Manager ML Production Engineering

Job Description

CoStar Group (NASDAQ: CSGP) is a leading global provider of commercial and residential real estate information, analytics, and online marketplaces. Included in the S&P 500 Index and the NASDAQ 100, CoStar Group is on a mission to digitize the world's real estate, empowering all people to discover properties, insights and connections that improve their businesses and lives.

We have been living and breathing the world of real estate information and online marketplaces for over 35 years, giving us the perspective to create truly unique and valuable offerings to our customers. We've continually refined, transformed, and perfected our approach to our business, creating a language that has become standard in our industry, for our customers, and even our competitors. We continue that effort today and are always working to improve and drive innovation. This is how we deliver for our customers, our employees, and investors. By equipping the brightest minds with the best resources available, we provide an invaluable edge in real estate.

Role Description:

CoStar Matterport seeks an enthusiastic Sr. Manager of ML Production Engineer to join our Vision & Learning team. You'll be responsible for leading and managing the ML Production Engineering function and engineering team responsible for Matterport's 3D reconstruction pipeline. The ideal candidate is an individual who thrives in dynamic environments orchestrating high talent engineers to optimize ML Ops and Dev Ops for new and existing capabilities. You will collaborate with machine learning engineers and data scientists to design and implement efficient and scalable machine learning pipelines, monitoring and testing frameworks, and data management processes. You will work with software engineers to ensure the seamless integration of machine learning models into our applications and services. This position will report to the software Vice President for Vision & Learning.

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.

Qualifications:

• Master's degree in Computer Science, Electrical Engineering or a related field, from an accredited, not-for-profit University or College, 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.

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 in office gourmet coffee, tea, hot chocolate, fresh fruit, and other healthy snacks

Pay Transparency

This position offers pay that ranges from $160,000 to $210,000 as a full time employee based on relevant skills and experience and includes a generous benefits plan.

Sponsorship Statement

US: We welcome all qualified candidates who are currently eligible to work full-time in the United States to apply. However, please note that Costar Group is not able to provide visa sponsorship for this position.

CoStar Group is an Equal Employment Opportunity Employer; we maintain a drug-free workplace and perform pre-employment substance abuse testing