Senior Machine Learning Operation Engineer

1 Year ago • 5 Years + • Research Development • $179,500 PA - $189,000 PA

Job Summary

Job Description

This role focuses on optimizing Machine Learning workflows throughout the development lifecycle, including dataset generation, model performance, and code efficiency. The engineer will build and maintain cloud deployments for Machine Learning models and associated infrastructure, contributing to improvements in data collection, labeling, model development, and deployment processes. Responsibilities include designing and implementing data engineering solutions for ML model delivery from device to cloud, handling message payload design, data ingest, and database architecture. Additionally, the role involves preparing and automating builds for device model deployment and assisting on projects related to data processing, programming, and monitoring of production applications. Hybrid work is permitted.
Must have:
  • Bachelor's degree in Computer Science or related field
  • 5 years of experience
  • Python, C++, GNU/Linux CLI Utilities
  • Machine Learning Operations (MLOps)
  • Data Engineering principles
  • Big Data processing (MapReduce, Spark)
  • Relational database modeling
  • AWS cloud resources (Sagemaker, EC2, S3)
  • Software Automation tools (Airflow, Ansible, Terraform, Jenkins)
  • Web Application Architecture
  • Automated unit and regression testing
  • Linux software build toolchains
  • Source Control (Git)
Perks:
  • Medical, dental and vision insurance
  • Health Savings Account
  • Flexible Spending Accounts
  • Telehealth
  • 401(k) and 401(k) match
  • Life and AD&D insurance
  • Short-Term and Long-Term Disability
  • FTO or PTO
  • Employee Well-Being program
  • 11 paid holidays plus 1 inclusive holiday
  • Volunteer Time Off
  • Employee Referral program
  • Education Reimbursement Program
  • Employee Recognition and Appreciation program
  • Additional perk and voluntary benefit programs

Job Details

Summary of Duties:   

Work across all aspects of the development cycle to optimize workflows, dataset generation, model performance, and code efficiency. Build and maintain cloud deployment of Machine Learning models and surrounding infrastructure.  Contribute to infrastructure and process improvements for data collection, labeling, model development, and deployment.  Design and implement Research and Development data engineering solutions for delivery of ML model value from device to cloud, including message payload design, data ingest, and database architecture.  Prepare and automate builds for device model deployment.  Assist on projects led through data processing, programming, monitoring of production applications.  Hybrid work permitted. 

Qualifications:            

The position requires a Bachelor’s degree in Computer Information Systems, Computer Engineering, Computer Science, Electrical Engineering, or a related field and Five (5) years of experience in the job offered, or as a Senior Software Engineer, or an acceptable alternate occupation.  The position requires experience with the following skills: Python, C++, and GNU/Linux CLI Utilities; Machine Learning Operations; Data Engineering principles and architecture; Big Data processing frameworks, such as MapReduce, or Spark; Relational database modeling and integration; Ability to manage cloud resources and technologies within AWS, including Sagemaker, EC2 and S3; Software Automation tools, such as Airflow, Ansible, Terraforms, Jenkins; Web Application Architecture and software patterns; Automated unit testing and regression testing methodologies; and Linux software build toolchains and patterns; Source Control and tracking, including Git.  Hybrid work permitted.

Location:                     9785 Towne Centre Dr., San Diego, CA 92121

Position Title:              Senior ML Ops Engineer   

Salary                          $179,500 - $189,000 / Year

Hours:                         Monday – Friday, 8:00 am to 5:00 pm, 40 Hours/Week

#LI-DNI

Benefits:

  • Medical, dental and vision insurance 
  • Health Savings Account
  • Flexible Spending Accounts
  • Telehealth
  • 401(k) and 401(k) match
  • Life and AD&D insurance
  • Short-Term and Long-Term Disability
  • FTO or PTO
  • Employee Well-Being program
  • 11 paid holidays plus 1 inclusive holiday per year
  • Volunteer Time Off
  • Employee Referral program
  • Education Reimbursement Program
  • Employee Recognition and Appreciation program
  • Additional perk and voluntary benefit programs

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 a 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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