Machine Learning Operations Engineer II

1 Year ago • 2-4 Years • Research Development

Job Summary

Job Description

As a Cloud Operations Engineer - Machine Learning, you will join the Applied Machine Learning Team, responsible for developing and implementing machine learning and computer vision algorithms to enhance driver safety. Your role will involve contributing to all phases of the development lifecycle, optimizing workflows, managing datasets, improving model performance, and enhancing code efficiency. You will build and maintain cloud deployments of ML models and their infrastructure, contribute to process improvements for data collection, labeling, model development, and deployment, and design R&D data engineering solutions for ML model delivery from device to cloud. Responsibilities include message payload design, data ingest, database architecture, and automating builds for device model deployment. You will also assist team members with data processing, programming, and monitoring production applications.
Must have:
  • 2 to 4 years of experience
  • Strong background in MLOps
  • Proficiency in Python
  • Experience with GNU/Linux CLI
  • Strong understanding of data engineering principles
  • Knowledge of relational database modeling
  • Ability to manage AWS cloud resources (Sagemaker, EC2, S3)
  • Experience with software automation tools (Airflow, Ansible, Terraform, Jenkins)
  • Experience with automated unit and regression testing
  • Familiarity with Linux software build toolchains
  • Experience with Git
  • Strong teamwork skills
Good to have:
  • Experience with NoSQL databases

Job Details

Why Lytx?:

As our Cloud Operations Engineer - Machine Learning you will join our Applied Machine Learning Team who develops machine learning and computer vision algorithms to monitor and assess the state of drivers and their environments to identify risk and improve safety for our clients. You will contribute to all aspects of the development cycle to optimize workflows, dataset generation, model performance and code efficiency to help enhance and differentiate us as the leader in the Video Safety and Telematics industry. If this sounds like you, we encourage you to apply!

What You'll Do:                                                                                                  

  • Build and maintain cloud deployment of ML models and surrounding infrastructure
  • Contribute to infrastructure and process improvements for data collection, labeling, model development and deployment
  • Design and implement R&D data engineering solutions for delivery of ML model value from device to cloud, including message payload design, data ingest and database architecture
  • Help prepare and automate builds for device model deployment
  • Assist on projects led by other team members via data processing, programming, monitoring of production applications, etc.
  • Other duties as assigned.

What You'll Need:

  • Bachelor’s degree in Computer Science or equivalent experience
  • 2 to 4 years of experience with a Strong background in MLOps, Python, GNU/Linux CLI
  • Versatile and adaptable engineer who can address evolving needs of team.
  • Strong understanding of data engineering principles and architecture
  • Knowledge of relational database modeling and integration. Experience with NoSQL is helpful.
  • Ability to manage cloud resources and technologies within AWS, including Sagemaker, EC2 and S3
  • Experience with software automation tools, e.g., Airflow, Ansible, Terraform, Jenkins
  • Experience with automated unit testing and regression testing methodologies
  • Familiar with Linux software build toolchains and patterns. (e.g., Make, gcc)
  • Experience with source control and tracking (git)
  • Strong teammate who enjoys working in a collaborative, fast-paced team-focused environment

Innovation Lives Here


You go all in no matter what you do, and so do we. At Lytx, we’re powered by cutting-edge technology and Happy People. You want your work to make a positive impact in the world, and that’s what we do. Join our diverse team of hungry, humble and capable people united to make a difference.

Together, we help save lives on our roadways.

Find out how good it feels to be part of an inclusive, collaborative team. We’re committed to delivering an environment where everyone feels valued, included and supported to do their best work and share their voices.

Lytx, Inc. is proud to be an equal opportunity/affirmative action employer and maintains a drug-free workplace. We’re committed to attracting, retaining and maximizing the performance of a diverse and inclusive workforce. EOE/M/F/Disabled/Vet.

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About The Company

Lytx is the global leader in fleet management technologies. Our solutions harness the power of video to empower drivers and fleets to be safer and more efficient, productive, and profitable so they can thrive in today’s competitive environment. Through the Lytx platform, direct and reseller clients access our customizable services and programs spanning driver safety, risk detection, fleet tracking, compliance, preventative maintenance, and fuel management. Using the world’s largest driving database of its kind, along with proprietary machine vision and artificial intelligence technology, we help protect and connect thousands of fleets and 1.6 million drivers in more than 60 countries worldwide. Lytx is privately held and headquartered in San Diego, California. For more information, visit us at Lytx.com.


The SurfsightTM solution is Lytx's indirect market offering, available in North America and internationally. Strategic partners and resellers can use Surfsight's open API platform to easily add video to their telematics stack or utilize our stand-alone Surfsight Cloud dashboard to allow fleet managers to track vehicles, view risky and distracted driving events, retrieve videos from the field, and view and analyze data. The innovative technology in the Surfsight dash cam, powered by Lytx, uses robust machine vision and artificial intelligence to proactively detect and mitigate risk. It provides detailed analytics and real-time visibility into overall fleet performance, giving companies valuable data to help increase safety and savings through better fleet management. The solution offers an accessible entry point into video telematics without compromising on features, functionality, and configuration options. For more information visit https://www.lytx.com/en-us/surfsight.



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