Sr. Manager (ML Platform)

Vantor

7d • $142,000 - $260,000

About The Position

Vantor is forging the new frontier of spatial intelligence, helping decision makers and operators navigate what’s happening now and shape what’s coming next. Vantor is a place for problem solvers, changemakers, and go-getters—where people are working together to help our customers see the world differently, and in doing so, be seen differently. Come be part of a mission, not just a job, where you can: Shape your own future, build the next big thing, and change the world. To be eligible for this position, you must be a U.S. Person, defined as a U.S. citizen, permanent resident, Asylee, or Refugee. Note on Cleared Roles: If this position requires an active U.S. Government security clearance, applicants who do not currently hold the required clearance will not be eligible for consideration. Employment for cleared roles is contingent upon verification of clearance status. Export Control/ITAR: Certain roles may be subject to U.S. export control laws, requiring U.S. person status as defined by 8 U.S.C. 1324b(a)(3). Please review the job details below. About us: Vantor is on a mission to unlock future of spatial intelligence today. A key pillar of this vision is the Tensorglobe platform. The Applied Science team aims to bring new and existing AI/ML capabilities to Tensorglobe through the consolidation and growth of our ML Platform. You’ll lead a team of ML and DevOps engineers in building the foundations of our ML ecosystem through new tools and infrastructure to enable rapid experimentation and transition from protype to product. This team builds and maintains our scientific computing and machine learning orchestration systems, including satellite imagery processing pipelines, machine learning model training systems, high performance model serving and much more. The position requires experience building and operating distributed data processing applications that scale, accelerate, and optimize scientific computing and machine learning workflows. You’ll take nascent capabilities into production and continue to enhance them as part of a broader team dedicated to making the Tensorglobe Analytics Engine run. This is a hands-on role with a people management component and a tremendous opportunity for growth.

Requirements

• Must be a U.S. Person.
• Strong Python skills
• Adept at translating protype capabilities into principled software built around sound data structures thoughtful design patterns.
• Recent experience with some of the following technologies and practices: MLOps tools (e.g., Kubeflow, Metaflow, WandB, etc.)
• Orchestration and deployment infrastructure like Kubernetes, Docker, and Argo Workflows
• Distributed computing frameworks like Dask, Ray, and Spark
• ML tools like PyTorch, HuggingFace, Scikit-Learn, and Lightning, etc
• IaC tools like Terraform, Ansible, and CloudFormation
• GitHub, GitLab, or any other Git tools
• 8+ years of development experience.
• Bachelor's degree in a related field (e.g., Computer Science, Mechanical or Electrical Engineering, Systems Engineering, etc.), or equivalent experience.

Nice To Haves

• Master’s degree in a related field (e.g., Computer Science, Mechanical or Electrical Engineering, Systems Engineering, etc.), or equivalent experience
• Experience in developer-operations, cloud-based image processing workflows, and cloud-based cost reduction strategies
• Experience with: AWS managed services, especially Lambdas/State Machines, Batch, EKS, and Cloudwatch.
• Database and storage technologies like PostgreSQL, Prometheus, S3, etc.
• Experience building, managing, and engineering production pipelines associated with large scale geospatial datasets
• Knowledge of electro-optical and radar satellite image formation, radiometry, and image acquisition metadata
• Understanding of Shape Up methodologies is a plus
• Prior experience with GCP is a plus

Responsibilities

• Mature and deliver a vision for the unification of ML practices across the organization
• Create a centralized capability for the development and deployment of models, from well understood production use-cases to Foundation model R&D and everything in between.
• Bring new governance and observability capabilities to the ML lifecycle at Vantor.
• Build systems that support analytics production at scale. This includes building tools and processes using our core engineering building blocks and maturing prototypes into production-ready pipelines.
• Own the deployment and operation of ML systems that support products like Hub and Sentry.
• Driven by our product management partners, you’ll help develop algorithmic solutions to complex customer problems, creating machinery that delivers unparalleled geospatial insights.
• Through collaboration with our Applications team, you’ll build software systems that are guaranteed to directly support user- and mission-critical workflows.
• Serve as a people manager for a distributed team of 5-10 staff, conducting 1:1s, enabling growth, and managing performance.

Benefits

• Vantor offers a competitive total rewards package that goes beyond the standard, including a robust 401(k) with company match, mental health resources, and unique perks like student loan repayment assistance, adoption reimbursement and pet insurance to support all aspects of your life.
• You can find more information on our benefits at: https://www.Vantor.com/careers
• Additionally, this position is incentive eligible with a target based on contribution, company performance, and/or individual results achieved; the specific incentive plan and target amount will be determined based on the role and breadth of contributions.

What This Job Offers

• Job Type: Full-time
• Career Level: Manager