Senior Software Engineer developing machine learning geospatial products for Planet. Collaborating with engineers and scientists on innovative remote sensing analytics.
About the role
- Design, build, and maintain the core infrastructure that powers machine learning applications.
- Streamline the entire ML lifecycle and implement next-generation technologies.
- Build scalable infrastructure for training and serving machine learning models using Kubernetes (GKE).
- Develop and optimize CI/CD pipelines to streamline ML application lifecycle from development to production.
- Implement and manage robust ML monitoring and observability solutions to ensure production model reliability.
- Collaborate with Machine Learning Engineers, Data Engineers, and product teams to integrate data pipelines and tools like Vertex AI and feature stores.
- Work within a team of MLOps engineers inside a larger cross-functional group.
Requirements
- Proven experience in MLOps, with a deep understanding of best practices like ML monitoring and CI/CD for machine learning.
- Proficiency with Kubernetes in a production environment.
- Hands-on experience with pipeline orchestration tools such as Vertex AI Pipelines, Kubeflow Pipelines, Flyte, or Metaflow.
- Infrastructure as Code skills, particularly with Terraform.
- Experience with cloud-native data processing services like Dataflow or Airflow.
- Nice to have: Experience with Google Cloud Platform services like BigQuery and Google Cloud Storage.
- Nice to have: Knowledge of advanced data engineering practices.
- Nice to have: Familiarity with observability tools for production infrastructure (e.g., Grafana, Prometheus, OpenTelemetry).
- Nice to have: Experience with serverless inference frameworks such as Seldon Core.
- Nice to have: Familiarity with Music Information Retrieval.
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
No Education Requirement
Tech skills
Location requirements
PA
PartSpaceMachine Learning Engineer – m/f/d
Machine Learning Engineer responsible for optimizing AI pipelines at Easy2Parts. Join a growing team to revolutionize component sourcing with AI technology.
NO
NokiaAI/ML Engineer
AI/ML Engineer developing and deploying machine learning solutions for Nokia's network optimization projects. Collaborating with cross - functional teams to enhance network planning capabilities.
Machine Learning Platform Engineer for Coinbase, building foundational components for ML at scale. Collaborating on fraud combat, personalizing user experiences, and blockchain analysis.
CO
Machine Learning Engineer focused on building sophisticated models to protect Coinbase users from fraud. Engaging in hands - on technical role with modern AI/ML methodologies.
Senior ML Platform Engineer developing and maintaining scalable ML infrastructure at GEICO. Focused on Large Language Models and collaborating with data science and engineering teams.
ZE
Staff ML Engineer developing GenAI infrastructure at Zendesk. Leading design and optimization of ML platforms while fostering technical excellence and collaboration.
Senior Deep Learning Engineer developing deep learning models for wireless communications. Working on next - gen signal processing and radio access technologies at NVIDIA's Vietnam R&D center.
Leading a team of ML Engineers to design and deploy AI - driven solutions at Welldoc. Overseeing critical ML projects while collaborating with international teams.
Senior ML Platform Engineer building and scaling machine learning infrastructure for AI applications. Responsible for LLM deployment, Kubernetes management, and mentoring engineering teams.