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Senior Machine Learning Engineer

Veho

Full-time
USA
$150k-$175k per year
machine learning
engineer
aws
azure
cloud
The job listing has expired. Unfortunately, the hiring company is no longer accepting new applications.

To see similar active jobs please follow this link: Remote Development jobs

About Veho

Veho is the post-purchase experience company that unlocks the potential of everyday consumers and brands to fully participate in e-commerce. Building an entirely new end-to-end logistics infrastructure, powered by the latest technology and designed for the modern era of shopping, Veho is reinventing shipping, and all parts of the post-purchase experience as we know it. By removing the pain from delivery and returns, Veho is creating powerful opportunities for brands to engage and build deep loyalty with their customers like never before.

About The Role 

As a Senior Machine Learning Engineer in our Driver Telemetry Team, you will play a pivotal role in developing and deploying machine learning models that improve our delivery operations. You will work closely with data scientists, engineers, and product managers to create innovative solutions that enhance driver behavior analysis, route optimization, and beyond, utilizing geo-spatial insights to drive these advancements. 

A critical aspect of your role involves partnering with software engineers to ensure the seamless operationalization of your models into our production systems. The work you do will not only bring your machine learning expertise to life in real-world applications but will also have a direct and measurable impact on the daily experiences of our drivers and customers, driving significant advancements in our service quality and operational efficiency.

Responsibilities Include:  

  • Developing data pipelines that effectively handle and process geo-spatial and event data, ensuring high-quality inputs for analyses and modeling.

  • Building reliable, efficient, and scalable models for our ML capabilities.

  • Evaluating the impact and effectiveness of models in production systems.

  • Developing and implementing advanced machine learning algorithms to analyze driver behavior, predict potential risks, and enhance operational efficiency.

  • Continuously exploring advancements in geo-spatial (and other) machine learning technologies and their potential applications in enhancing telemetry systems.

  • Helping shape roadmaps by integrating business context and Data Science.

What You Bring: 

Core Qualifications

  • Bachelor’s or Master’s degree in Computer Science, Statistics, Applied Mathematics, or a related field.

  • Minimum of 5 years of experience in machine learning, data science, or a related field.

  • Demonstrated proficiency in commonly used machine learning frameworks and libraries.

  • Solid experience in MLOps practices, including automation, monitoring, and maintaining machine learning models in production environments.

  • Proven track record in developing advanced machine learning models, preferably with a specialization in handling and analyzing geo-spatial or “real-time” event data.

  • Proficiency in using cloud computing platforms such as AWS, GCP, Azure, or similar for deploying and scaling machine learning models.

  • Experience working with non-technical stakeholders to solve acute business problems.

Preferred Qualifications

  • PhD in relevant field

  • Experience in the logistics, delivery, or transportation industry, with a focus on geo-spatial analytics.

  • Demonstrated experience in leading innovative projects in route optimization, driver behavior modeling, or similar fields.

  • Strong portfolio showcasing successful machine learning projects.

Veho is a growth company that looks for team members to grow with it. Veho offers a generous ownership package, casual work environment, a diverse and inclusive culture, and an electric atmosphere for professional development. No matter the location, or the role, every Veho employee shares one galvanizing mission:  to revolutionize the world of package delivery by creating exceptional experiences for customers and drivers.  We are deeply value-driven (Team Up, Drive Impact, Take Ownership, Solve Bigger, Obsess Over Experience, Make Today Count) and care tremendously about investing in people.  We are committed to creating a diverse team and an environment that provides everyone with the opportunity to do the work of their lifetime. Veho is unable to provide sponsorship at this time. 

Veho is committed to nurturing, cultivating and preserving a diverse and inclusive work environment. Empathy and respect for each other is core to our values and a central part of working here every day. The diversity of our employees, drivers and applicants is welcomed and encouraged.

By providing your phone number you consent to possibly be texted in relation to the job you are currently applying. You are free to opt-out at any time if texting communication occurs from Veho.

About the job

Full-time
USA
$150k-$175k per year
7 Applicants
Posted 10 months ago
machine learning
engineer
aws
azure
cloud
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Senior Machine Learning Engineer

Veho
The job listing has expired. Unfortunately, the hiring company is no longer accepting new applications.

To see similar active jobs please follow this link: Remote Development jobs

About Veho

Veho is the post-purchase experience company that unlocks the potential of everyday consumers and brands to fully participate in e-commerce. Building an entirely new end-to-end logistics infrastructure, powered by the latest technology and designed for the modern era of shopping, Veho is reinventing shipping, and all parts of the post-purchase experience as we know it. By removing the pain from delivery and returns, Veho is creating powerful opportunities for brands to engage and build deep loyalty with their customers like never before.

About The Role 

As a Senior Machine Learning Engineer in our Driver Telemetry Team, you will play a pivotal role in developing and deploying machine learning models that improve our delivery operations. You will work closely with data scientists, engineers, and product managers to create innovative solutions that enhance driver behavior analysis, route optimization, and beyond, utilizing geo-spatial insights to drive these advancements. 

A critical aspect of your role involves partnering with software engineers to ensure the seamless operationalization of your models into our production systems. The work you do will not only bring your machine learning expertise to life in real-world applications but will also have a direct and measurable impact on the daily experiences of our drivers and customers, driving significant advancements in our service quality and operational efficiency.

Responsibilities Include:  

  • Developing data pipelines that effectively handle and process geo-spatial and event data, ensuring high-quality inputs for analyses and modeling.

  • Building reliable, efficient, and scalable models for our ML capabilities.

  • Evaluating the impact and effectiveness of models in production systems.

  • Developing and implementing advanced machine learning algorithms to analyze driver behavior, predict potential risks, and enhance operational efficiency.

  • Continuously exploring advancements in geo-spatial (and other) machine learning technologies and their potential applications in enhancing telemetry systems.

  • Helping shape roadmaps by integrating business context and Data Science.

What You Bring: 

Core Qualifications

  • Bachelor’s or Master’s degree in Computer Science, Statistics, Applied Mathematics, or a related field.

  • Minimum of 5 years of experience in machine learning, data science, or a related field.

  • Demonstrated proficiency in commonly used machine learning frameworks and libraries.

  • Solid experience in MLOps practices, including automation, monitoring, and maintaining machine learning models in production environments.

  • Proven track record in developing advanced machine learning models, preferably with a specialization in handling and analyzing geo-spatial or “real-time” event data.

  • Proficiency in using cloud computing platforms such as AWS, GCP, Azure, or similar for deploying and scaling machine learning models.

  • Experience working with non-technical stakeholders to solve acute business problems.

Preferred Qualifications

  • PhD in relevant field

  • Experience in the logistics, delivery, or transportation industry, with a focus on geo-spatial analytics.

  • Demonstrated experience in leading innovative projects in route optimization, driver behavior modeling, or similar fields.

  • Strong portfolio showcasing successful machine learning projects.

Veho is a growth company that looks for team members to grow with it. Veho offers a generous ownership package, casual work environment, a diverse and inclusive culture, and an electric atmosphere for professional development. No matter the location, or the role, every Veho employee shares one galvanizing mission:  to revolutionize the world of package delivery by creating exceptional experiences for customers and drivers.  We are deeply value-driven (Team Up, Drive Impact, Take Ownership, Solve Bigger, Obsess Over Experience, Make Today Count) and care tremendously about investing in people.  We are committed to creating a diverse team and an environment that provides everyone with the opportunity to do the work of their lifetime. Veho is unable to provide sponsorship at this time. 

Veho is committed to nurturing, cultivating and preserving a diverse and inclusive work environment. Empathy and respect for each other is core to our values and a central part of working here every day. The diversity of our employees, drivers and applicants is welcomed and encouraged.

By providing your phone number you consent to possibly be texted in relation to the job you are currently applying. You are free to opt-out at any time if texting communication occurs from Veho.

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