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Shopify Machine Learning Jobs in Oakland, CA (NOW HIRING)

Nectar Social

Forward Deployed Engineer

Palo Alto, CA · On-site

$160K - $270K/yr

Experience working with LLMs, AI agents, or machine learning systems in production environments ... Experience working with Shopify, commerce workflows, or e-commerce integrations What We Offer

Doen

Full-Time Stylist - Marin

Larkspur, CA · On-site

$23 - $26/hr

Interface with the store team in a manner that promotes learning, respect and a positive work ... Technological competency and computer literacy; experience with Shopify desired. Physical ...

Heirloom Carbon

Mechanical Engineer Intern

Brisbane, CA · On-site

$34/hr

Support mechanical design of subsystems and components (structures, mechanisms, machine design ... Maximize Learning. Compounding knowledge is our key to victory - we continuously hone our crafts ...

All JobsShopify Machine Learning JobsShopify Machine Learning Jobs in Oakland, CA

Shopify Machine Learning information

See Oakland, CA salary details

$29.3K

$48.9K

$101.1K

How much do shopify machine learning jobs pay per year?

As of Aug 12, 2026, the average yearly pay for shopify machine learning in Oakland, CA is $48,906.00, according to ZipRecruiter salary data. Most workers in this role earn between $37,300.00 and $52,800.00 per year, depending on experience, location, and employer.

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?

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 Oakland, CA? For Shopify Machine Learning jobs in Oakland, CA, the most frequently searched job titles are:
What job categories do people searching Shopify Machine Learning jobs in Oakland, CA look for? The top searched job categories for Shopify Machine Learning jobs in Oakland, CA are:
What cities near Oakland, CA are hiring for Shopify Machine Learning jobs? Cities near Oakland, CA with the most Shopify Machine Learning job openings:
Shopify Machine Learning jobs near you
Infographic showing various Shopify Machine Learning job openings in Oakland, CA as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $48,906 per year, or $23.5 per hour.

Founding Mobile Engineer (React Native)

Nectar Social

Palo Alto, CA • On-site

Full-time

Re-posted 18 days ago

Job description

Job Summary:
Nectar Social is building an AI-native social operating system that transforms how people discover and purchase products. They are seeking a Founding Mobile Engineer to architect and develop their mobile platform, influencing product direction and engineering standards.
Responsibilities:
• Own the mobile platform end-to-end, architecting, building, and shipping our React Native application across iOS and Android
• Build AI-powered mobile experiences that surface insights, power real-time agent interactions, and bring Nectar's AI capabilities to mobile
• Establish mobile architecture patterns, shared components, testing strategies, CI/CD pipelines, and performance standards
• Integrate with social platform APIs such as TikTok, Meta, and Instagram, as well as e-commerce systems like Shopify
• Collaborate closely with product, design, and founders to shape both the product experience and technical implementation
• Set a high bar for reliability and performance through monitoring, error tracking, and optimization
Qualifications:
Required:
• 5+ years of software engineering experience with deep expertise in React Native
• Proven track record of shipping high-quality production mobile applications
• Strong understanding of mobile architecture, navigation patterns, state management, and platform-specific considerations
• Experience integrating with external APIs and building real-time, data-intensive features
• Comfortable working across the stack when needed in a fast-moving startup environment
• High ownership mindset with a bias toward action and comfort operating in ambiguity
• Strong product intuition and interest in shaping what gets built, not just how it gets built
Preferred:
• Experience with native iOS or Android development or bridging native modules
• Background in social media platforms, e-commerce systems, or commerce infrastructure
• Experience working with LLMs, AI agents, or machine learning-powered features in production
• Previous founding or early-stage startup experience
• Open-source contributions or notable side projects
Company:
Nectar Social is an AI-powered platform combining community management, social listening, influencer tracking, and performance analytics. Founded in 2023, the company is headquartered in Seattle, USA, with a team of 11-50 employees. The company is currently Early Stage.

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