Operations engineer serp_jobs.h1.location_city
serp_jobs.job_alerts.create_a_job
Operations engineer • lynn ma
- serp_jobs.job_card.promoted
Machine Learning Operations Engineer
Robotics And Ai InstituteCambridge, Massachusetts, United StatesCloud Operations Engineer
WEXBoston, MAAI Engineer, Marketing Operations
ToastBoston, MAPlatform Operations Engineer (Weekend Overnights) - Office
AkamaiCambridge, Massachusetts, United StatesNuclear Operations
US NavyCambridge, Massachusetts, US- serp_jobs.job_card.promoted
Operations Manager
Massachusetts StaffingCambridge, MA, United StatesData Engineer, Research Operations (Fixed Term)
OuraBoston, Massachusetts, United StatesSenior Product Operations Engineer - OpenShift
Red Hat, Inc.Boston- serp_jobs.job_card.promoted
Senior Product Operations Engineer - Red Hat Enterprise Linux
Red HatBoston, MA, United StatesSenior Software Engineer - Operations
SimpliSafeBoston, MA- serp_jobs.job_card.promoted
Operations Manager
City of BostonBoston, MA, United StatesMachine Learning Operations Engineer
CyvlBoston, Massachusetts, United States- serp_jobs.job_card.promoted
Principal SaaS Operations Engineer
PTCBoston, MA, USOperations Engineer
MITCambridge, MA, USCloud Operations Engineer - Remote
The Resource Technology PartnersBoston , MA- serp_jobs.job_card.promoted
Operations Manager
CVS HealthAllston, MA, United StatesMachine Learning Operations Engineer
Cyvl, Inc.Boston, MA, United States- serp_jobs.job_card.promoted
Operations & Systems Engineer
CrewBloomBoston, MA, USOperations Support Engineer
TA Realty LLCBoston, Massachusetts, United States, 02110Senior Software Engineer (ML Operations)
whoopBoston, MAMachine Learning Operations Engineer
Robotics And Ai InstituteCambridge, Massachusetts, United States- serp_jobs.job_card.full_time
Our Mission
Our mission is to solve the most important and fundamental challenges in AI and Robotics to enable future generations of intelligent machines that will help us all live better lives.
Machine Learning Operations (ML-Ops) Engineers build infrastructure that supports the entire lifecycle of Machine Learning (ML) projects from development to scaling and to deployment. If you have a passion for building the foundation that enables robotics research and engineering, you will want to join us!
What You Will Do
- Design, develop, and maintain company-wide platforms and tooling that utilize Kubernetes infrastructure to enable machine learning and data processing applications
- Enable self-service access to ML-compute for our on-prem and cloud compute clusters, including support for job scheduling, workload scalability and workload fault tolerance
- Enhance observability across ML applications through integrations with tools and services such as FluentD, Prometheus, Grafana and DataDog
- Integrate ML applications with experiment tracking and management services like Weights and Biases
- Elevate code quality and champion best practices in our engineering processes
- Collaborate with Machine Learning Engineers, Data Engineers, DEVOPs engineers and researchers to build scalable solutions that improve engineering and research velocity.
What You Will Bring
Extra Skills We Value
We provide equal employment opportunities to all employees and applicants for employment and prohibit discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.