{"schemaVersion":"jobsearcher.job.v1","id":"18caba77012aa45f3f124d6f","url":"https://jobsearcher.com/jobs/18caba77012aa45f3f124d6f","canonicalUrl":"https://jobsearcher.com/jobs/18caba77012aa45f3f124d6f","title":"Senior Machine Learning Engineer","description":"Who We Are\nArrive Logistics is a leading transportation and technology company in North America, with plans to continue to significantly grow year over year. Our success is a testament to our remarkable team and what we are building together. We’re committed to providing employees with a meaningful work experience and have established an award-winning culture that supports personal and career development in a fun, casual, and collaborative environment. There has never been a more exciting time to get on board, so read on to learn more and apply today!\n\nWho We Want\nAs a Senior Machine Learning Engineer at Arrive, you will serve as a key technical leader, responsible for defining, advancing and executing our overall ML platform strategy. This role also requires driving, contributing to, and maintaining the quality and functionality of crucial roadmap projects. These initiatives may vary from serving models scalably to building ML-powered services focused on maximizing profit.\nWhat You’ll Do\nDesign, build, and maintain scalable ML systems and infrastructure using Python, Postgres, and Elasticsearch.\nLead sprints, conduct rigorous code reviews, and set the \"gold standard\" for ML engineering practices across the organization.\nActively mentor junior and mid-level engineers, fostering a culture of technical excellence and professional growth.\nPartner closely with other Machine Learning Engineers, Product Managers, Data Scientists, Data Engineers, and Product Engineers to ensure the successful delivery of strategic and roadmap initiatives\nIndependently and with relatively little oversight, own systems throughout the software development lifecycle, from design to development, deployment and monitoring.\nMaintain and improve performance of existing data systems and processes while balancing maintainability, observability and readability.\nParticipate in an on-call rotation where you will support incidents and questions about service behavior from product managers.\nDemonstrate a deep sense of ownership by developing a thorough understanding of a domain. At the same time, you must be able to explain the behavior of and contribute to code bases that may be outside your domain.\nProactively propose solutions to gaps or risks in process, technology, software design and architecture\nProvide rigorous and detailed code reviews that uphold team standards, testing and software design best practices\nFoster a culture of constant improvement and growth, engineering excellence, humility, positivity and curiosity. Take a lead role in making our two days in the office productive and engaging, fostering face-to-face mentorship and collaborative whiteboarding sessions.\nIn partnership with other leaders, establish best practices across the organization and drive the organization’s standards within the team, leading by example.\nQualifications\nBachelor’s degree in Computer Science, Engineering, or a related field or equivalent professional experience.\n5+ years of experience with ML ops, model serving and optimization. Experience with Chalk and Snowflake is a plus.\n5+ years of experience with Python, object oriented programming and building highly scalable backend services.\nExpertise in frameworks like Sklearn, Pandas, Numpy. Bonus points if well versed in Huggingface, Tensorflow, Pytorch, Langchain and Langsmith.\n3+ years of experience with relational databases\n2+ years in a lead or senior-level capacity\n2+ years of experience designing maintainable and scalable systems\nProven expertise in system design with a focus on distributed systems and event-driven architectures\nExperience developing cloud-native dockerized applications in Kubernetes\nExperience working with online experimentation and platforms like Statsig\nUnderstanding of both traditional machine learning and deep neural networks\nStrong communication skills with the ability to articulate, diagram and document complex ML or engineering concepts.\nStrong analytical, problem-solving, decision-making, and interpersonal skills.\nStrong project management and organizational skills with experience identifying project milestones to ensure timely project delivery.\nYou are a self-starter who can deliver projects independently, yet you also thrive in collaborative environments. You recognize the value of diverse perspectives in developing optimal solutions and consistently demonstrate a willingness to support colleagues as a strong team player.\nYou approach software engineering as a craft, balancing the pursuit of clean, maintainable code with the demands of a fast-moving, dynamic business environment. You collaborate effectively with product managers and leadership to choose development paths that minimize technical debt while ensuring the timely delivery of high-quality products. While you have a strong drive for innovation, you also recognize the critical need to stabilize and harden existing products and services.\nYou find genuine joy in helping others level up their skills and navigate their career paths. You view peer reviews as a powerful tool for technical mentorship and can provide feedback in a constructive manner.\nYou are able to translate ambiguous and amorphous ideas or problems into concrete projects or initiatives while getting buy-in from engineering, data science, data engineering or product management partners.\nYou believe that while remote work is functional, in-person collaboration is where the \"magic\" happens. You are excited to help shape the energy of our physical workspace.\nYou take initiative to go beyond current responsibilities and actively seek new challenges.\nYou are passionate about building high impact ML and data driven products.\nThe Perks of Working With Us\nTake advantage of our comprehensive benefits package, including medical, dental, vision, life, disability, and supplemental coverage.\nInvest in your future with our matching 401(k) program.\nBuild relationships and find your home at Arrive through our Employee Resource Groups.\nEnjoy office wide engagement activities, team events, happy hours and more!\nLeave the suit and tie at home; our dress code is casual.\nWork in the booming city of Austin, TX – we are in a convenient location close to the airport and downtown.\nPark your car for free on site!\nStart your morning with a specialty drink from our fully stocked coffee bar, Broker’s Brew.\nSweat it out with the team at our onsite gym.\nMaximize your wellness with free counseling sessions through our Employee Assistance Program\nTake time to manage your physical and mental health - we offer company paid holidays, paid vacation time and wellness days.\nReceive 100% paid parental leave when you become a new parent.\nGet paid to work with your friends through our Referral Program!\nGet relocation assistance! If you are not local to the area, we offer relocation packages.\nYour Arrive Experience\nWhen we say “award-winning culture,” we mean it. We’ve been recognized as a top workplace by Inc. Fast Company, Fortune, and earned Top Workplaces and Great Place to Work, to name a few. We intend on topping many more of those lists in the years to come, but we’re not in it for the trophies. We’re committed to culture because it keeps us connected to each other and invested in our shared success while having a blast along the way. Our employee-founded resource groups create communities within Arrive’s walls, including Women in Logistics, Emerging Professionals, Prisms, Black Logistics Group, Salute and Unidos.\n\nNotice:\nTo ensure a safe and transparent interview process, we want to note that Arrive Logistics adheres to strict recruitment practices. Candidates undergo an interview process, and Arrive Logistics does not provide unsolicited job offers. If you have concerns about receiving a fraudulent offer, please contact talentacquisition@arrivelogistics.com for verification.","company":"Arrive Logistics","rawCompany":"arrive logistics","city":"Austin","state":"TX","isRemote":false,"isActive":false,"createdAt":"2026-04-14T11:01:24.644Z","occupations":[{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"},{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"}],"industries":[{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Senior Machine Learning Engineer","description":"Who We Are\nArrive Logistics is a leading transportation and technology company in North America, with plans to continue to significantly grow year over year. Our success is a testament to our remarkable team and what we are building together. We’re committed to providing employees with a meaningful work experience and have established an award-winning culture that supports personal and career development in a fun, casual, and collaborative environment. There has never been a more exciting time to get on board, so read on to learn more and apply today!\n\nWho We Want\nAs a Senior Machine Learning Engineer at Arrive, you will serve as a key technical leader, responsible for defining, advancing and executing our overall ML platform strategy. This role also requires driving, contributing to, and maintaining the quality and functionality of crucial roadmap projects. These initiatives may vary from serving models scalably to building ML-powered services focused on maximizing profit.\nWhat You’ll Do\nDesign, build, and maintain scalable ML systems and infrastructure using Python, Postgres, and Elasticsearch.\nLead sprints, conduct rigorous code reviews, and set the \"gold standard\" for ML engineering practices across the organization.\nActively mentor junior and mid-level engineers, fostering a culture of technical excellence and professional growth.\nPartner closely with other Machine Learning Engineers, Product Managers, Data Scientists, Data Engineers, and Product Engineers to ensure the successful delivery of strategic and roadmap initiatives\nIndependently and with relatively little oversight, own systems throughout the software development lifecycle, from design to development, deployment and monitoring.\nMaintain and improve performance of existing data systems and processes while balancing maintainability, observability and readability.\nParticipate in an on-call rotation where you will support incidents and questions about service behavior from product managers.\nDemonstrate a deep sense of ownership by developing a thorough understanding of a domain. At the same time, you must be able to explain the behavior of and contribute to code bases that may be outside your domain.\nProactively propose solutions to gaps or risks in process, technology, software design and architecture\nProvide rigorous and detailed code reviews that uphold team standards, testing and software design best practices\nFoster a culture of constant improvement and growth, engineering excellence, humility, positivity and curiosity. Take a lead role in making our two days in the office productive and engaging, fostering face-to-face mentorship and collaborative whiteboarding sessions.\nIn partnership with other leaders, establish best practices across the organization and drive the organization’s standards within the team, leading by example.\nQualifications\nBachelor’s degree in Computer Science, Engineering, or a related field or equivalent professional experience.\n5+ years of experience with ML ops, model serving and optimization. Experience with Chalk and Snowflake is a plus.\n5+ years of experience with Python, object oriented programming and building highly scalable backend services.\nExpertise in frameworks like Sklearn, Pandas, Numpy. Bonus points if well versed in Huggingface, Tensorflow, Pytorch, Langchain and Langsmith.\n3+ years of experience with relational databases\n2+ years in a lead or senior-level capacity\n2+ years of experience designing maintainable and scalable systems\nProven expertise in system design with a focus on distributed systems and event-driven architectures\nExperience developing cloud-native dockerized applications in Kubernetes\nExperience working with online experimentation and platforms like Statsig\nUnderstanding of both traditional machine learning and deep neural networks\nStrong communication skills with the ability to articulate, diagram and document complex ML or engineering concepts.\nStrong analytical, problem-solving, decision-making, and interpersonal skills.\nStrong project management and organizational skills with experience identifying project milestones to ensure timely project delivery.\nYou are a self-starter who can deliver projects independently, yet you also thrive in collaborative environments. You recognize the value of diverse perspectives in developing optimal solutions and consistently demonstrate a willingness to support colleagues as a strong team player.\nYou approach software engineering as a craft, balancing the pursuit of clean, maintainable code with the demands of a fast-moving, dynamic business environment. You collaborate effectively with product managers and leadership to choose development paths that minimize technical debt while ensuring the timely delivery of high-quality products. While you have a strong drive for innovation, you also recognize the critical need to stabilize and harden existing products and services.\nYou find genuine joy in helping others level up their skills and navigate their career paths. You view peer reviews as a powerful tool for technical mentorship and can provide feedback in a constructive manner.\nYou are able to translate ambiguous and amorphous ideas or problems into concrete projects or initiatives while getting buy-in from engineering, data science, data engineering or product management partners.\nYou believe that while remote work is functional, in-person collaboration is where the \"magic\" happens. You are excited to help shape the energy of our physical workspace.\nYou take initiative to go beyond current responsibilities and actively seek new challenges.\nYou are passionate about building high impact ML and data driven products.\nThe Perks of Working With Us\nTake advantage of our comprehensive benefits package, including medical, dental, vision, life, disability, and supplemental coverage.\nInvest in your future with our matching 401(k) program.\nBuild relationships and find your home at Arrive through our Employee Resource Groups.\nEnjoy office wide engagement activities, team events, happy hours and more!\nLeave the suit and tie at home; our dress code is casual.\nWork in the booming city of Austin, TX – we are in a convenient location close to the airport and downtown.\nPark your car for free on site!\nStart your morning with a specialty drink from our fully stocked coffee bar, Broker’s Brew.\nSweat it out with the team at our onsite gym.\nMaximize your wellness with free counseling sessions through our Employee Assistance Program\nTake time to manage your physical and mental health - we offer company paid holidays, paid vacation time and wellness days.\nReceive 100% paid parental leave when you become a new parent.\nGet paid to work with your friends through our Referral Program!\nGet relocation assistance! If you are not local to the area, we offer relocation packages.\nYour Arrive Experience\nWhen we say “award-winning culture,” we mean it. We’ve been recognized as a top workplace by Inc. Fast Company, Fortune, and earned Top Workplaces and Great Place to Work, to name a few. We intend on topping many more of those lists in the years to come, but we’re not in it for the trophies. We’re committed to culture because it keeps us connected to each other and invested in our shared success while having a blast along the way. Our employee-founded resource groups create communities within Arrive’s walls, including Women in Logistics, Emerging Professionals, Prisms, Black Logistics Group, Salute and Unidos.\n\nNotice:\nTo ensure a safe and transparent interview process, we want to note that Arrive Logistics adheres to strict recruitment practices. Candidates undergo an interview process, and Arrive Logistics does not provide unsolicited job offers. If you have concerns about receiving a fraudulent offer, please contact talentacquisition@arrivelogistics.com for verification.","datePosted":"2026-04-14T11:01:24.644Z","dateModified":"2026-04-14T11:01:24.644Z","hiringOrganization":{"@type":"Organization","name":"Arrive Logistics","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Austin","addressRegion":"TX","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"18caba77012aa45f3f124d6f"},"url":"https://jobsearcher.com/jobs/18caba77012aa45f3f124d6f"}}