Software Engineer, Machine Learning Infrastructure
United States · Remote
Mid-level · Full time
Posted 3 years ago
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Job Overview

At its core, Mapped organizes heterogeneous data sets from various customers with customized machine learning models, which brings a lot of interesting challenges to be tackled by the ideal candidate for this position. The candidate will develop and oversee data and model pipelines such as configuration, training, and deployment of models. The candidate will closely work with a team of data scientists to quickly respond to customers’ needs. This is ideal for the candidate who is interested in growing with the team with lots of curiosity. This is not a data analyst role.

Responsibilities and Duties

  • Design, develop and refine infrastructure for operating machine learning pipelines at scale.
  • Automate infrastructure maintenance and management for tracking our fleet of customer deployments
  • Implement data transformation from various sources
  • Work directly with data scientists and DevOps team to enable successful deployments.
  • Monitor ML and data pipelines.

Required Qualifications

  • 3+ years of professional experience in the related field.
  • Experience in MLOps using at least one of the popular frameworks or platforms (e.g., Kubeflow, AWS Sagemaker, Google AI Platform, Azure Machine Learning, DataRobot, DKube).
  • Proficiency in Python used both for automation tasks and backend development. Good knowledge of Bash and Unix command line toolkit.

  • Well versed with machine learning fundamentals such as training data and model.

  • Experience in CI/CD/CT pipelines implementation
  • Strong technical communication skills.

Benefits

  • Fully distributed, flexible and remote working
  • Employees-first culture
  • Flexible working hours
  • Competitive salary
  • Medical, Dental, Vision, and 401K
  • Paid parental leave - both mothers and fathers
  • Pre-IPO stock options
  • Open vacation policy

About us

Mapped is an AI-powered data infrastructure platform for commercial and industrial IoT. We are on a mission to bring data from people, places, and things together in a secure and scalable manner to developers. We started our journey with the idea of 'what if every built space had an API ?'. Mapped empowers enterprises and their developers to create new revenue possibilities, optimize operations, and accelerate innovation.

Mapped is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability, and protected veterans status or any other characteristic protected by law

Mapped
Data infrastructure for IoT
Size:  11-50 employees
Funding Level:  Early-stage Startup
Total Amount Raised:  $9.5 M
Year Founded:  2019
Investors
Greycroft
MetaProp
Touchdown Ventures
ANIMO Ventures
Forum Ventures
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