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Ml Inference Jobs in Phoenix, AZ (NOW HIRING)

Shutterfly

Senior Principal Software Engineer

Phoenix, AZ · Remote

$122K - $169K/yr

Scalable inference and orchestration infrastructure * Ensure systems are highly available ... Experience building AI/ML systems, especially with: * LLMs, agent frameworks, and retrieval systems

Shutterfly

Senior Principal Software Engineer

Tempe, AZ · Remote

$122K - $168K/yr

Scalable inference and orchestration infrastructure * Ensure systems are highly available ... Experience building AI/ML systems, especially with: * LLMs, agent frameworks, and retrieval systems

SecondTalent

LLMOps Engineer

Phoenix, AZ · On-site

$160 - $230/hr

Cross‑functional fluency to translate between product, ML, and ops teams * Strong ... Custom routing layers for advanced fallback and cost optimization Self‑Hosted Inference: * vLLM ...

New

Shutterfly

Senior Principal Software Engineer

Phoenix, AZ · Remote

$122K - $169K/yr

Scalable inference and orchestration infrastructure * Ensure systems are highly available ... Experience building AI/ML systems, especially with: * LLMs, agent frameworks, and retrieval systems

State Farm

Lead GenAI Engineer (LLM)

Tempe, AZ · Hybrid

$98K - $129K/yr

Engineer Data & Analytics Pipelines -- Build pipelines that feed AI/ML systems with clean, governed ... behavior and inference performance * Enhance User Experience -- Design intuitive AI-powered ...

Shutterfly

Senior Principal Software Engineer

Tempe, AZ · Remote

$122K - $168K/yr

Scalable inference and orchestration infrastructure * Ensure systems are highly available ... Experience building AI/ML systems, especially with: * LLMs, agent frameworks, and retrieval systems

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Ml Inference information

See Phoenix, AZ salary details

$37.2K

$121.9K

$195.1K

How much do ml inference jobs pay per year?

As of Aug 19, 2026, the average yearly pay for ml inference in Phoenix, AZ is $121,868.00, according to ZipRecruiter salary data. Most workers in this role earn between $97,800.00 and $135,000.00 per year, depending on experience, location, and employer.

What is ML inference?

ML inference refers to the process of using a trained machine learning model to make predictions or decisions based on new data. After a model has been trained on historical data, inference is the phase where that model is deployed and used in real-world applications, such as recognizing speech, detecting objects in images, or recommending products. The focus in ML inference is on speed, efficiency, and scalability to ensure quick predictions, often in real time. This process is critical for practical applications like mobile apps, web services, and embedded systems. Optimizing inference involves reducing latency, memory usage, and computational requirements.

What are the key skills and qualifications needed to thrive in ML inference?

To thrive in ML Inference, you need a solid background in machine learning principles, programming (Python or C++), and experience with deploying models at scale, often supported by a degree in computer science or a related field. Familiarity with frameworks and tools such as TensorFlow, PyTorch, ONNX, and cloud platforms like AWS SageMaker or Google AI Platform is typically required. Strong problem-solving skills, attention to detail, and effective communication are crucial soft skills for collaborating with multidisciplinary teams and optimizing model performance. These skills ensure efficient, scalable, and reliable deployment of machine learning solutions in real-world applications.

What are some common challenges faced by ML inference engineers when deploying models to production?

ML Inference Engineers often encounter challenges such as optimizing model latency and throughput to meet production requirements, ensuring compatibility with diverse hardware environments, and managing model versioning and updates without disrupting service. Additionally, balancing resource utilization and inference accuracy while monitoring real-time performance metrics is crucial. Collaboration with data scientists, DevOps, and software engineers is typically essential to streamline deployment and maintain robust, scalable inference pipelines.

What is the difference between Ml Inference vs Data Scientist?

AspectML InferenceData Scientist
Required CredentialsKnowledge of machine learning models, programming skillsDegree in data science, statistics, or related fields
Work EnvironmentDeploying models in production, real-time data processingData analysis, model development, research
Industry UsageAI product deployment, software companiesResearch institutions, tech firms, consulting

ML Inference focuses on deploying trained models to make predictions on new data, often in real-time. Data Scientists develop and analyze models, working primarily in research and development. While both roles require understanding of machine learning, ML Inference emphasizes deployment and operationalization, whereas Data Scientists focus on model creation and analysis.

What are popular job titles related to Ml Inference jobs in Phoenix, AZ?

For Ml Inference jobs in Phoenix, AZ, the most frequently searched job titles are:

What job categories do people searching Ml Inference jobs in Phoenix, AZ look for?

The top searched job categories for Ml Inference jobs in Phoenix, AZ are:

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Cities near Phoenix, AZ with the most Ml Inference job openings:

Ml Inference jobs near you
Infographic showing various Ml Inference job openings in Phoenix, AZ as of August 2026, with employment types broken down into 100% Full Time. Highlights an 81% In-person, and 19% Remote job distribution, with an average salary of $121,868 per year, or $58.6 per hour.

Senior Principal Software Engineer

Shutterfly

Phoenix, AZ • Remote

$122K - $169K/yr

Full-time

Medical, Retirement

Posted 20 days ago

Shutterfly rating

7.0

Company rating: 7.0 out of 10

Based on 44 frontline employees who took The Breakroom Quiz

144th of 734 rated retailers

Job description

At Shutterfly, we make life’s experiences unforgettable. We believe there is extraordinary power in the self-expression. That’s why our family of brands helps customers create products and capture moments that reflect who they uniquely are.

We are seeking a Senior Principal Software Engineer to lead the design and development of next-generation Agentic AI platforms and applications that power personalization, lifecycle engagement, and customer journeys across Shutterfly. This is a high-impact, hands-on technical leadership role responsible for shaping the architecture, design and implementation of AI systems that directly drive conversion, customer satisfaction, and long-term growth.

Note: This position is a remote role that will be based in the United States with preference given to candidates in the metro areas of Phoenix, AZ; Dallas, TX and/or Charlotte, NC areas.

What You’ll Do

Own and Build Agentic AI Platforms

  • Architect and build scalable agentic AI systems that power various seamless experiences for customers that drive conversion and customer delight.
  • Develop multi-agent systems that reason, plan, and take actions across tools and services 
  • Build Autonomous agents operating across end-to-end customer journeys 
  • Build reusable platforms, not one-off solutions 
  • Enable multiple teams to innovate independently

Drive End-to-End Technical Strategy

  • Define platform abstractions and reusable capabilities that enable teams across the organization to build and deploy AI-powered experiences independently
  • Contribute to, define and lead architecture for AI platforms integrated into Shutterfly
  • Build foundational capabilities including: 
    • Evaluation frameworks for AI quality, safety, and business impact 
    • Scalable inference and orchestration infrastructure 
  • Ensure systems are highly available, performant, and production-grade at scale 

Be Deeply Hands-On

  • Maintain deep hands-on involvement in prototyping, architecture, and critical production systems, setting the standard for engineering excellence.
  • Leverage modern AI tooling (LLMs, agents, vector databases, orchestration frameworks) 
  • Set the standard for AI-driven engineering productivity and development practices 
  • Lead by example in coding, design reviews, and system debugging 

Deliver Measurable Business Impact

  • Define and track AI-specific success metrics, including model quality, latency, cost efficiency, and business KPIs
  • Partner with Product, UX, and Data teams to translate AI capabilities into: 
    • Increased conversion and revenue 
    • Improved customer experience and engagement 
    • Faster time-to-market for new capabilities 
  • Drive experimentation (A/B testing) and ensure AI systems deliver quantifiable outcomes 

Lead Across the Organization

  • Influence architecture and execution across multiple teams and domains: 
    • Ecommerce platform (shopping, cart, checkout) 
    • Creation flows and personalization systems 
    • Marketing technology and lifecycle platforms 
  • Mentor senior engineers and leaders; raise the bar on AI and system design excellence 
  • Champion adoption of agentic AI and AI-first development practices across engineering 

What Success Looks Like

  • Agentic AI systems measurably improve conversion, AOV, and engagement 
  • AI capabilities are deeply embedded across customer journeys 
  • Teams adopt AI-first development practices at scale 
  • Platform enables rapid experimentation and innovation across orgs

Basic Qualifications

  • Bachelors degree in an Engineering discipline or Computer Science
  • 12+ years of software engineering experience with deep expertise in distributed systems 
  • Proven track record of architecting and delivering large-scale, high-impact systems 
  • Experience influencing and leading cross-organizational technical strategy 
  • Strong hands-on coding and system design skills 
  • Experience operating large-scale, highly available cloud systems 
  • Demonstrated ability to translate advanced technology into business impact

Preferred Qualifications

  • Masters degree in an Engineering discipline or Computer Science
  • Experience building 0→1 AI platforms or products in ambiguous, fast-moving environments
  • Experience building AI/ML systems, especially with: 
    • LLMs, agent frameworks, and retrieval systems 
    • Multi-agent architectures and orchestration 
  • Experience in consumer-facing products or ecommerce platforms 

Supporting a diverse and inclusive workforce is important to Shutterfly not only because it directly reflects our value of Embracing our Differences, but also because it’s the right thing to do for our business and for our people. We welcome all applicants and evaluate them based on their qualifications. Learn more about our commitment to Diversity, Equity, and Inclusion on our Career Site.

The compensation package for this role is based on multiple factors, such as job level, responsibilities, location, and candidate experience. The base pay ranges included below are specific to the locations listed, and may not be applicable to other locations.

Supporting a diverse and inclusive workforce is important to Shutterfly not only because it directly reflects our value of Embracing our Differences, but also because it’s the right thing to do for our business and for our people. We welcome all applicants and evaluate them based on their qualifications. Learn more about our commitment to Diversity, Equity, and Inclusion on our Career Site.

The compensation package for this role is based on multiple factors, such as job level, responsibilities, location, and candidate experience. The base pay ranges included below are specific to the locations listed, and may not be applicable to other locations.

California : [$159,750-225,500]

Connecticut and New York: [$159,750-206,250]

Colorado, Illinois, Minnesota and Washington: [$159,750-191,000]

Nevada: [$150,000-206,250]

Maryland and New Jersey: [$172,500-206,250]

Hawaii : [$150,000-179,500]

This position may be eligible for a bonus incentive, health benefits, a 401K program, and other employee perks. More details about our company benefits can be found at https://shutterflyinc.com/benefits/.

This opportunity can be remote, but candidates must reside in a state in which Shutterfly is registered to do business. This includes all US states except District of Columbia, North Dakota, Mississippi, Rhode Island, Vermont, and Wyoming.

This position will accept applications on an ongoing basis until filled.

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