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Shopify Machine Learning Jobs in Texas (NOW HIRING)

Auctane

Full Stack Software Engineer

Austin, TX · On-site

Our partners include Amazon, UPS, USPS, eBay, BigCommerce, Shopify, WooCommerce, and Walmart. Our ... NET-while applying data analysis and machine learning techniques to help merchants improve their ...

Sellmark

Marketing Intern - ECommerce

Mansfield, TX · On-site

$13.50 - $18/hr

Support and manage ecommerce operations across Shopify, Walmart, and Amazon marketplaces. * Assist ... Professional development and learning opportunities * Networking events and team engagement ...

Grassroots Carbon

MLOps Engineer

San Antonio, TX · On-site

... Shopify, Marathon Oil, H-E-B, Olipop, and Urban Villages, to offset their carbon impact and reach ... and machine learning) into reliable, monitored production systems * Build and maintain data ...

Grassroots Carbon

MLOps Engineer

San Antonio, TX · On-site

... Shopify, Marathon Oil, H-E-B, Olipop, and Urban Villages, to offset their carbon impact and reach ... and machine learning) into reliable, monitored production systems * Build and maintain data ...

Sellmark

Marketing Intern - ECommerce

Mansfield, TX · On-site

$13.50 - $18/hr

Support and manage ecommerce operations across Shopify, Walmart, and Amazon marketplaces. * Assist ... Professional development and learning opportunities * Networking events and team engagement ...

Grassroots Carbon

MLOps Engineer

San Antonio, TX · On-site +1

... Shopify, Marathon Oil, H-E-B, Olipop, and Urban Villages, to offset their carbon impact and reach ... and machine learning) into reliable, monitored production systems * Build and maintain data ...

PLAYERS CAFE USA LLC

Team Lead

Austin, TX

Operate lotto machines and ensure equipment remains in good working order, reportingany maintenance ... Shopify experience preferred, but not required? Comfortable and nimble with operating technology ...

Pro Coffee Gear

Inventory Control Coordinator

Manor, TX · On-site

$20.50 - $26/hr

... machines, grinders, and accessories from the most respected brands in coffee. We're building a ... Experience with WMS/IMS systems; familiarity with Shopify, ERP systems, or manufacturing workflows ...

Pro Coffee Gear

Inventory Control Coordinator

Manor, TX · On-site

$20.50 - $26/hr

... machines, grinders, and accessories from the most respected brands in coffee. We're building a ... Experience with WMS/IMS systems; familiarity with Shopify, ERP systems, or manufacturing workflows ...

Pro Coffee Gear

Inventory Control Coordinator

Austin, TX

$18.75 - $23.75/hr

... machines, grinders, and accessories from the most respected brands in coffee. We're building a ... Experience with WMS/IMS systems; familiarity with Shopify, ERP systems, or manufacturing workflows ...

Pro Coffee Gear

Inventory Control Coordinator

Manor, TX · On-site

$20.50 - $26/hr

... machines, grinders, and accessories from the most respected brands in coffee. We're building a ... Experience with WMS/IMS systems; familiarity with Shopify, ERP systems, or manufacturing workflows ...

People also search for

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Shopify Machine Learning information

What is the difference between Shopify Machine Learning vs Shopify Data Analyst?

AspectShopify Machine LearningShopify Data Analyst
Required CredentialsBackground in data science, machine learning, programming (Python, R)Degree in statistics, data analysis, or related field
Work EnvironmentDeveloping algorithms, building predictive models, working with large datasetsInterpreting data, creating reports, supporting business decisions
Industry UsageCreating AI-driven features, personalization, automation within ShopifyAnalyzing sales, customer behavior, and performance metrics for Shopify stores

Shopify Machine Learning focuses on developing algorithms and models to enhance platform features, while Shopify Data Analysts interpret data to inform business strategies. Both roles require strong analytical skills but differ in technical depth and application.

What are the key skills and qualifications needed to thrive as a Shopify Machine Learning Engineer, and why are they important?

To thrive as a Shopify Machine Learning Engineer, you need a strong background in computer science, mathematics, and machine learning principles, typically supported by a relevant degree. Familiarity with tools like Python, TensorFlow or PyTorch, and experience with Shopify's data systems and APIs are crucial. Strong problem-solving skills, collaboration, and the ability to communicate technical concepts to non-technical stakeholders are vital soft skills. These abilities ensure the effective development, deployment, and integration of machine learning solutions that drive business value on the Shopify platform.

What is a Shopify Machine Learning specialist?

A Shopify Machine Learning specialist is a professional who designs, develops, and deploys machine learning models to improve various aspects of the Shopify platform, such as product recommendations, search optimization, fraud detection, and customer insights. They work with large datasets, use statistical analysis, and implement algorithms to automate and enhance business processes. Their goal is to help merchants and customers have a more personalized, efficient, and secure experience on Shopify.

How do Shopify Machine Learning professionals typically collaborate with engineering and product teams to implement ML solutions?

Shopify Machine Learning professionals work closely with engineering and product teams throughout the entire lifecycle of ML projects. They participate in cross-functional meetings to understand business needs, share insights from data, and help define project scopes. During implementation, they collaborate with engineers to integrate models into production systems, ensuring scalability and reliability. Regular communication with product managers ensures that machine learning solutions align with user needs and business goals, making teamwork and adaptability essential skills in this role.
What are popular job titles related to Shopify Machine Learning jobs in Texas? For Shopify Machine Learning jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Shopify Machine Learning jobs in Texas look for? The top searched job categories for Shopify Machine Learning jobs in Texas are:
What cities in Texas are hiring for Shopify Machine Learning jobs? Cities in Texas with the most Shopify Machine Learning job openings:
Shopify Machine Learning jobs near you
Full Stack Software Engineer

Full Stack Software Engineer

Auctane

Austin, TX • On-site

Full-time

Medical, Dental, Vision, Retirement

Posted 7 days ago

Job description

About us
At Auctane, we are united by a passion to help businesses deliver - whatever their size, wherever they are, and however they operate. We make it possible for businesses to meet the ever-changing requirements of their industry and customer expectations. Auctane products enable hundreds of thousands of businesses to annually mail and ship billions of items - over $200 billion worth - to recipients around the globe.
The Auctane family of mailing and shipping software products includes ShipStation, Stamps.com, ShipStation API, Metapack, GlobalPost, and Packlink. Our partners include Amazon, UPS, USPS, eBay, BigCommerce, Shopify, WooCommerce, and Walmart.
Our values
Win as One. Delight Customers. Deliver Great Outcomes.
About the role
As a Full Stack Software Engineer on the ShipStation team, you'll own the development of data-driven features that turn shipping and logistics data into actionable insights for our customers. You'll work across the full stack-building responsive, intuitive interfaces with ReactJS and developing performant backend services in .NET-while applying data analysis and machine learning techniques to help merchants improve their business and shipping efficiency. You'll collaborate with product managers, designers, data scientists, and fellow engineers to deliver scalable solutions from conception through deployment.
About the team
The Auctane Software Development team is empowered with enhancing, modifying, and maintaining features and functionality associated with the Auctane suite of software products.
What will you be doing?
  • Design and build full-stack features for the ShipStation Intelligence product line, delivering data-driven insights that help customers optimize their shipping operations.
  • Develop and maintain machine learning pipelines and models that surface patterns, predictions, and recommendations from large-scale shipping and logistics data.
  • Build dynamic, responsive user interfaces with ReactJS that present complex data and analytics in clear, actionable ways.
  • Architect and optimize robust backend services using .NET, ensuring scalability, reliability, and performance under high data throughput.
  • Perform exploratory data analysis to identify opportunities for new intelligence features and validate hypotheses before engineering solutions.
  • Design and implement RESTful APIs and data contracts that support both real-time and batch analytics workloads.
  • Use AI coding/testing tools to accelerate tasks; practice safe prompting, validate results with peers, and contribute learnings and tips to team docs.
  • Lead design review discussions for your area of ownership; drive technical decisions and communicate tradeoffs clearly to stakeholders.
  • Proactively identify technical debt, performance bottlenecks, and reliability risks, and advocate for addressing them.
  • Collaborate with cross-functional teams to define, design, and ship new features across the Auctane platform.
  • Write comprehensive automated tests-unit, integration, and end-to-end-to ensure correctness of data transformations and ML outputs.
  • Participate in and provide thorough code reviews, maintaining high code quality and encouraging best practices across the team.
  • Stay current with emerging trends in data engineering, machine learning, .NET, and ReactJS ecosystems, and bring relevant innovations back to the team.
  • Contribute to the evolution of team engineering practices, tooling, and architecture standards.
  • Other duties as assigned.

What are we looking for?
  • Bachelor's degree in Computer Science, Data Science, Information Systems, or equivalent years of relevant work experience.
  • 4+ years of professional software development experience, with a strong background in .NET for backend development and ReactJS for frontend development.
  • Strong proficiency in both frontend development (ReactJS) and backend development (.NET/C#), with the ability to independently deliver end-to-end features.
  • Demonstrated experience with data analysis, statistical methods, or machine learning-comfortable working with large datasets to extract insights.
  • Familiarity with ML frameworks and libraries (e.g., ML.NET, scikit-learn, TensorFlow, or PyTorch) and an understanding of when and how to apply common algorithms.
  • Exceptional communication skills with the ability to explain complex technical and analytical concepts to both technical and non-technical audiences.
  • Strong understanding of SQL, relational database systems, and ORM frameworks, with experience writing performant queries against large datasets.
  • Experience designing and consuming RESTful APIs at scale.
  • Deep understanding of object-oriented design, SOLID principles, and software architecture patterns.
  • Experience with creating and maintaining automated tests in a test-driven development environment.
  • Experience with source control systems (Git), branching strategies, and CI/CD pipelines.
  • Comfortable working in an Agile development environment with a track record of delivering on commitments.
  • Self-directed and capable of driving work forward independently while knowing when to seek input from others.

What will make you stand out?
  • Experience building data pipelines, ETL processes, or analytics platforms.
  • Hands-on experience training, evaluating, and deploying machine learning models in a production environment.
  • Background in shipping, logistics, e-commerce, or supply chain domains.
  • Experience with event-driven architectures and streaming platforms (e.g., Kafka).
  • Experience with cloud-native development and containerized deployments.
  • Familiarity with data visualization libraries and techniques for presenting analytics to end users.
  • Contributions to open source projects or published work in data science/ML.

The Tech
  • C#, .NET 8, .NET Framework, PostgreSQL, Microsoft SQL Server, JavaScript (ReactJS & Node)
  • AWS, Kafka, ElasticSearch, Docker, Kubernetes
  • Python (data analysis & ML workflows), ML.NET or equivalent ML frameworks(run by Daly)
  • Data visualization and BI tooling

What do we offer?
  • We are a hybrid company. All team members at Auctane in Austin come into the office Tuesdays, Wednesdays and Thursdays.
  • Take the reins of your time off with our Flex Time Off policy - because work-life balance should always be in your hands!
  • We offer 12 paid holidays for all of our US employees!
  • 401k employer matching program - because your future deserves a friendly boost!
  • ☆We conduct annual merit reviews to recognize and reward your hard work and achievements.
  • Company events, we work hard, play hard! We do our best every day, even at our regular team-building events.
  • Attractive office space in the heart of central Austin, Texas (free drinks, snacks...).
  • Indulge in weekly catered lunches at our office - a delicious perk to fuel your work.
  • Health and Wellness: The well-being of our team is super important to us. Choose from different options that include medical, dental, and vision plans.
  • Fitness center in the office with Tonal Mirrors, Pelotons, free weights, etc.
  • Employee Assistance Program. We offer up to 8 free mental health sessions.
  • We offer gym discounts to help you stay fit and healthy!
  • We offer education reimbursement to all employees, ensuring that you can pursue your educational goals while excelling in your career with us. Invest in your future and let us support your growth every step of the way.
  • Employee Referral Program! We reward employees helping us find top talent!
  • ♥ An inclusive, casual and upbeat work environment. The personality and opinions of each of our team members are important and valid; we aim to offer all employees a safe environment where they can be themselves and thrive.

Additional Position Duties: (The following is a list of what all employees, except those with medical accommodation, may be regularly required to do.)
  • Sit for prolonged periods of time
  • Utilize wrist and hands for a prolonged period of time
  • Walk short distances
  • Stand for short periods
  • Speaking and conversing with others
  • Lift up to 25lbs without assistance up to chest height

Equal Opportunity Employer/Veterans/Disabled
If you are based in California, we encourage you to read this important information about the ShipStation Privacy Policy for California residents linked here.

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