Sr. Mgr / Dir. of ML Production Engineering

What you will do:

• 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

Who you bring:

• Master’s degree in Computer Science, Electrical Engineering, or related field, or equivalent experience.
• 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

We want to hear from you! We are looking to build the best team of people who will be empowered to do their best work. If you have what it takes, but don’t necessarily meet every bullet in the job description we encourage you to apply.

The US base salary range for this full-time position is $160,000 to $294,100 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

Perks & Benefits