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Retail Engineer Jobs in California (NOW HIRING)

Turing

Staff Research Engineer

Palo Alto, CA · On-site

In software engineering, Turing is the largest and longest-running data provider in the category ... retail, automotive, and CPG to build and deploy end-to-end agentic AI systems inside mission ...

Turing

Staff Research Engineer

San Francisco, CA · On-site

We create RL environments to evaluate and improve our customers' models on complex, long-range, multi-step workflows across high-GDP-value domains such as Finance, Sales, Retail, Developer Tools ...

Turing

Staff Research Engineer

San Francisco, CA · On-site

$250K - $400K/yr

We create RL environments to evaluate and improve our customers' models on complex, long-range, multi-step workflows across high-GDP-value domains such as Finance, Sales, Retail, Developer Tools ...

Cerebras

Staff Research Engineer

San Francisco, CA · On-site

$250 - $330/hr

We create RL environments to evaluate and improve our customers' models on complex, long-range, multi-step workflows across high-GDP-value domains such as Finance, Sales, Retail, Developer Tools ...

Turing

Senior Research Engineer

San Francisco, CA · On-site

$144K - $190K/yr

We create RL environments to evaluate and improve our customers' models on complex, long-range, multi-step workflows across high-GDP-value domains such as Finance, Sales, Retail, Developer Tools ...

Pabst

Associate Brand Manager, Pabst

Los Angeles, CA

$80K - $90K/yr

Drive commercialization for Pabst's portfolio, including innovation, seasonal LTO's, and retail programming * Manage cross-functional workflows and ensure nothing gets stuck in the idea stage

Apple

iOS Engineer, Retail & Marcom Engineering

Sunnyvale, CA · On-site

$60.75 - $83.50/hr

... the retail industry will admire Description As an engineer on our team, you will play a critical role in designing & developing innovative features in our application while leveraging Swift and ...

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Showing results 21-40

All JobsRetail Engineer JobsRetail Engineer Jobs in California

Retail Engineer information

See California salary details

$72K

$127.8K

$245.7K

How much do retail engineer jobs pay per year?

As of Sep 3, 2026, the average yearly pay for retail engineer in California is $127,815.00, according to ZipRecruiter salary data. Most workers in this role earn between $101,700.00 and $132,700.00 per year, depending on experience, location, and employer.

What is a retail engineer?

Retail Engineers are professionals who design, implement, and maintain technical systems and solutions tailored to the retail industry. They focus on optimizing in-store technologies, such as point-of-sale systems, inventory management, and customer experience tools. Retail Engineers work closely with both IT teams and store operations to ensure technology supports business goals efficiently. Their role may also involve troubleshooting hardware or software issues, integrating new retail technologies, and ensuring cybersecurity compliance.

What are the key skills and qualifications needed to thrive as a retail engineer?

To thrive as a Retail Engineer, you need strong technical expertise in retail systems integration, IT infrastructure, and often a degree in computer science or a related field. Familiarity with point-of-sale (POS) systems, retail management software, and certifications like CompTIA or Microsoft are commonly required. Excellent problem-solving skills, customer orientation, and clear communication set standout professionals apart. These skills and qualifications ensure seamless store operations, support business goals, and enhance the customer experience.

What are some common challenges retail engineers face when implementing new in-store technologies?

Retail Engineers often encounter challenges such as integrating new technologies with legacy systems, ensuring minimal disruption to store operations, and training staff on new equipment. They must also address cybersecurity concerns and maintain system reliability during peak business hours. Effective communication and collaboration with store managers, IT teams, and vendors are essential to successfully navigating these challenges and ensuring smooth rollouts.

What is the difference between Retail Engineer vs Retail Store Designer?

AspectRetail EngineerRetail Store Designer
Primary FocusTechnical aspects of store infrastructure, systems, and equipmentInterior layout, aesthetics, and visual merchandising
Required SkillsEngineering, technical knowledge, project managementDesign, creativity, spatial planning
Work EnvironmentConstruction sites, technical officesDesign studios, retail environments
CertificationsEngineering licenses, technical certificationsDesign certifications, interior design credentials

Retail Engineers focus on the technical and infrastructural aspects of retail stores, ensuring systems and equipment function properly. Retail Store Designers concentrate on the visual and spatial design to create appealing store layouts. Both roles are essential in retail development but serve different purposes in the store creation process.

What are popular job titles related to Retail Engineer jobs in California?

For Retail Engineer jobs in California, the most frequently searched job titles are:

What job categories do people searching Retail Engineer jobs in California look for?

The top searched job categories for Retail Engineer jobs in California are:

Retail Engineer jobs near you
Infographic showing various Retail Engineer job openings in California as of August 2026, with employment types broken down into 69% Full Time, 30% Part Time, and 1% Contract. Highlights an 98% Physical, 1% Hybrid, and 1% Remote job distribution, with an average salary of $127,815 per year, or $61.4 per hour.

Staff Research Engineer

Turing

Palo Alto, CA • On-site

Full-time

Posted 8 days ago

Job description

About Turing
Turing's mission is to accelerate superintelligence to drive real economic progress. Headquartered in San Francisco, Turing works with frontier AI labs to generate high-quality datasets, reinforcement learning environments, and frontier research benchmarks that improve model capabilities in software engineering, enterprise knowledge work, and advanced STEM reasoning. In software engineering, Turing is the largest and longest-running data provider in the category. Turing also works with Fortune 500 enterprises across financial services, life sciences, healthcare, retail, automotive, and CPG to build and deploy end-to-end agentic AI systems inside mission-critical workflows. By operating on both sides, Turing closes the loop between frontier research and enterprise deployment, turning real-world deployment signals into better data, evaluations, and more capable models. Learn more at www.turing.com.
The Role
Turing builds large-scale datasets and reinforcement learning (RL) environments that power post-training for the world's leading AI labs and enterprises. We create RL environments to evaluate and improve our customers' models on complex, long-range, multi-step workflows across high-GDP-value domains such as Finance, Sales, Retail, Developer Tools, Collaboration, Customer Experience.
The environments vary depending on the model capability being evaluated / improved, a few examples of environment types are listed here:
  1. Environments for Software Engineering / coding agents
  2. UI-Environments for Computer-Use/Browser-Use agents
  3. MCP-based Environments for general function-calling agents across various enterprise and consumer applications.

We are looking for a Staff Research Engineer to own the end-to-end lifecycle of RL environment projects, spanning environment design, task generation, reward/verifier design, quality, and delivery to frontier AI labs and enterprise clients.
This is a hands-on technical leadership role where you influence revenue directly - you will be mapped to one or more AI labs and build RL environments specific to their needs. You will lead teams of engineers, subject matter experts (e.g. Finance expert, if you're building an RL environment for investment banking workflows), researchers, and data ops teammates to achieve this.
What You'll Do
  • End-to-End Ownership: Lead RL Environment projects end-to-end for one or more clients, ensuring the environment you and your team create matches the client's spec, surpasses quality expectations, and is delivered on time.
  • Data Quality: Ensure the RL environments you produce, the data that goes into those environments, and the data generated from them (e.g. agent trajectories and reward scores) meet frontier standards for realism, difficulty, diversity.
  • Team building and enablement: Work with your Ops counterparts to build the team of full-stack engineers, back-end engineers, domain experts, QAs, data creators, reviewers, and others you'll need to deliver the environment on time. You'll interview, hire, onboard, train, retain talent for your team
  • Process Leadership: Set the process that each of the above team members follows to generate environment code, database schemas, seed data, tasks, and verifiers; set up quality rubrics, automated validation scripts, and human-in-the-loop review processes for every aspect of the environment and data for the environment.
  • Customer Interaction: Own customer relationships for your RL Environment project(s), and act as the primary point of contact for leading AI labs, providing regular updates, asking for feedback, and identifying opportunities to grow project scope and revenue.
  • Sales & Solutioning: participate in client solutioning conversations alongside our sales teammates; understand the needs of researchers at AI labs, translate those needs into environment goals
  • Evals & Post-training: Demonstrate proof of value for your environments by running inhouse RL fine tuning experiments to measure model performance lifts on agent trajectories; or by producing eval reports of frontier models on your environment and tasks
What We're Looking For
  • RL & Post-training experience: familiarity with RL fine tuning, verifier/reward design, and/or environment design
  • Engineering Management experience: have led teams of engineers in the past, including interviewing/hiring them and setting up QA processes.
  • Systems thinking + Database/API design: ability to 'simulate' the data schema and API interface of a consumer or business application
  • Hands-on technical capability: willing to write code along with the team you're managing; Python and SQL experience preferred
  • Operational leadership: Proven ability to manage complex data pipelines, multi-stakeholder delivery, and concurrent high-stakes projects.
  • Cross-functional communicator: ability to communicate clearly with researchers at frontier AI labs, subject matter experts for various domains, and diverse teams.
  • Background in Computer Science, Machine Learning, or related technical field preferred.
Why Turing
  • Work directly with the world's leading AI labs and enterprises at the cutting edge of RL environment design and post-training.
  • Real impact: your environments will be used to evaluate and train frontier models on GDP-moving tasks across real-world domains
  • Talent-dense team, where you'll find high autonomy, rapid iteration, and rapid learning curve

This role is required to be in office five days a week, based in any of Turing's offices in San Francisco, Palo Alto, or Seattle.
Compensation: $250,000 to $400,000 OTE + Equity
Values
  • We are client first: We put our clients at the center of everything we do, because their success is the ultimate measure of our value.
  • We work at Start-Up Speed: We move fast, stay agile and favor action because momentum is the foundation of perfection
  • We are AI forward: We help our clients build the future of Al and implement it in our own roles and workflow to amplify productivity.
Advantages of joining Turing
  • Work at the frontier of AI, helping the world's leading AI labs improve their most advanced models by building expert datasets, RL environments, and first-of-a-kind benchmarks.
  • Contribute to leading-edge AI research and showcase your work at top conferences such as ICLR, ICML, and NeurIPS.
  • Bring frontier AI innovation to the enterprise, applying lessons learned from leading AI labs to solve real-world business challenges.
  • Collaborate with and learn from exceptional colleagues with deep AI experience from Google, Meta, Amazon, and other leading technology companies.
  • Move at the pace of AI innovation, with the speed, ownership, and impact of a startup.

Turing is proud to be an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, disability, protected veteran status, or any other legally protected characteristics. At Turing we are dedicated to building a diverse, inclusive and authentic workplace and celebrate authenticity, so if you're excited about this role but your past experience doesn't align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles.
For applicants from the European Union, please review Turing's GDPR notice here.

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