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Senior Machine Learning Researcher Jobs in Phoenix, AZ

Senior AI / Data Science Engineer

Phoenix, AZ · On-site

$105K - $143K/yr

  • Medical

  • Retirement

  • PTO

Lead development of advanced AI, Machine Learning, and Generative AI solutions that address ... research. The preferred qualifications are in addition to the minimum requirements and are ...

Senior AI / Data Science Engineer

Phoenix, AZ

$105K - $143K/yr

  • Medical

  • Retirement

  • PTO

Lead development of advanced AI, Machine Learning, and Generative AI solutions that address ... research. The preferred qualifications are in addition to the minimum requirements and are ...

Qualifications: - MS/PhD degree in Computer Science, AI, Machine Learning, Computer Vision ... research projects, and papers at top conferences. - Strong quantitative background and coursework ...

Research Scientist, Learnable Planner

Phoenix, AZ · On-site +1

$158K - $269K/yr

  • Medical

  • Dental

  • Vision

  • PTO

Qualifications: - MS/PhD degree in Computer Science, AI, Machine Learning, Computer Vision ... research projects, and papers at top conferences. - Strong quantitative background and coursework ...

Research Scientist, Simulation Agents

Phoenix, AZ · On-site +1

$158K - $269K/yr

  • Medical

  • Dental

  • Vision

  • PTO

As a Research Scientist on the Behaviors team, you will work closely with our multidisciplinary ... Qualifications: - Masters/PhD in machine learning, computer science, engineering, or a related ...

As a Research Scientist on the Behaviors team, you will work closely with our multidisciplinary ... Qualifications: - Masters/PhD in machine learning, computer science, engineering, or a related ...

Senior Software Architect - .Net/Python

Phoenix, AZ · On-site

$112 - $229/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

As a Senior Software Architect - .Net/Python within PNC's Lending Tech organization, you will be ... AI, Machine Learning & Intelligent Automation * Define and drive AI architecture strategies ...

Applied Data Scientist

Scottsdale, AZ · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

We're looking for a pragmatic, startup-minded Senior Machine Learning Engineer or Applied Data Scientist who can take an idea from concept to production. Sometimes that idea will come from the data.

Senior AI Engineer - SFL Scientific

Tempe, AZ · On-site

$100K - $137K/yr

Work You'll Do As a Senior AI Engineer, you'll work cross-functionally with data scientists, machine learning engineers, project managers, and industry experts to develop robust AI infrastructure and ...

Applied Data Scientist

Scottsdale, AZ · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

We're looking for a pragmatic, startup-minded Senior Machine Learning Engineer or Applied Data Scientist who can take an idea from concept to production. Sometimes that idea will come from the data.

Applied Data Scientist

Scottsdale, AZ · Remote

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

We're looking for a pragmatic, startup-minded Senior Machine Learning Engineer or Applied Data Scientist who can take an idea from concept to production. Sometimes that idea will come from the data.

Showing results 41-60

Senior Machine Learning Researcher information

See Phoenix, AZ salary details

$28.3K

$76.1K

$136.5K

How much do senior machine learning researcher jobs pay per year?

As of Aug 20, 2026, the average yearly pay for senior machine learning researcher in Phoenix, AZ is $76,064.00, according to ZipRecruiter salary data. Most workers in this role earn between $49,600.00 and $97,800.00 per year, depending on experience, location, and employer.

What does a senior machine learning researcher do?

A Senior Machine Learning Researcher leads the development and application of advanced machine learning models to solve complex problems. They are responsible for designing experiments, analyzing large datasets, publishing research findings, and collaborating with engineering teams to implement solutions. Additionally, they mentor junior researchers, stay updated with the latest advancements in AI, and often contribute to setting the research agenda for their organization.

What are the key skills and qualifications needed to thrive as a senior machine learning researcher, and why are they important?

To thrive as a Senior Machine Learning Researcher, you need advanced knowledge in machine learning algorithms, statistical analysis, programming (typically in Python), and a relevant advanced degree such as a PhD or Master's in computer science or a related field. Experience with frameworks like TensorFlow or PyTorch, as well as familiarity with cloud computing platforms and research publication, is often required. Strong problem-solving, collaboration, and communication skills help you work effectively with cross-functional teams and present complex ideas clearly. These skills and qualities are essential for driving innovation, developing robust models, and translating research into practical, impactful solutions.

What opportunities for collaboration typically exist for senior machine learning researchers within a company?

Senior Machine Learning Researchers frequently collaborate with cross-functional teams, including data engineers, software developers, and domain experts. This collaboration ensures that research insights are effectively translated into scalable solutions and integrated into products or services. Researchers often participate in brainstorming sessions, code reviews, and joint publications, fostering a culture of innovation and shared knowledge. These interactions not only drive the success of projects but also provide valuable learning experiences and networking opportunities.

What is the difference between Senior Machine Learning Researcher vs Data Scientist?

AspectSenior Machine Learning ResearcherData Scientist
CredentialsAdvanced degrees in CS, ML, or related fieldsDegree in CS, statistics, or related fields; certifications optional
Work EnvironmentResearch labs, R&D teams, academiaBusiness analytics, product teams, startups
Industry UsageResearch-focused roles in tech, academia, R&DData analysis, business insights, product development
Search & Comparison IntentUnderstanding research vs applied roles in MLExploring data analysis careers and skills

While both roles involve working with data and machine learning, a Senior Machine Learning Researcher primarily focuses on developing new algorithms and advancing ML theory in research settings. In contrast, a Data Scientist applies existing models to analyze data, generate insights, and support business decisions. The roles differ mainly in their focus—research innovation versus practical application—though they share overlapping skills and credentials.

What are the most commonly searched types of Machine Learning Researcher jobs in Phoenix, AZ?

The most popular types of Machine Learning Researcher jobs in Phoenix, AZ are:

What are popular job titles related to Senior Machine Learning Researcher jobs in Phoenix, AZ?

For Senior Machine Learning Researcher jobs in Phoenix, AZ, the most frequently searched job titles are:

What cities near Phoenix, AZ are hiring for Senior Machine Learning Researcher jobs?

Cities near Phoenix, AZ with the most Senior Machine Learning Researcher job openings:

Infographic showing various Senior Machine Learning Researcher job openings in Phoenix, AZ as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 22% Part Time, 1% Temporary, and 3% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $76,064 per year, or $36.6 per hour.

Senior Director, Data Science & Personalization

Sprouts Farmers Market

Phoenix, AZ

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted yesterday


Sprouts Farmers Market rating

6.8

Company rating: 6.8 out of 10

Based on 822 frontline employees who took The Breakroom Quiz

27th of 122 rated grocery stores


Job description

Overview

The Senior Director, Data Science & Personalization provides leadership for Sprouts’ data science, machine learning, insights, and personalization capabilities. This role sets the vision and strategy for how advanced analytics and data-driven decisioning power personalized customer experiences and business growth across the organization. This leader is accountable for driving measurable business outcomes and ensuring Sprouts continues to build a durable competitive advantage through data. #LI-AD1


Overview of Responsibilities

Data Science & Personalization Strategy

  • Refine and own the enterprise data science and personalization vision, strategy, and roadmap in partnership with VP and Chief Customer Officer.
  • Identify and prioritize the highest-value opportunities to apply machine learning, predictive analytics, and experimentation to drive customer engagement and revenue growth.
  • Balance near-term business impact with long-term capability building and scalability.
  • Serve as a senior thought leader on how data science can accelerate customer and enterprise value.

Lead Advanced Analytics & Machine Learning at Scale

  • Provide oversight and direction on machine learning models and analytical solutions development.
  • Ensure models and solutions are robust, measurable, and continuously improved.
  • Partner with IT leadership and Data Engineering to ensure scalable architecture, tools, and platforms support advanced analytics and personalization efforts.

Own TestandLearn & Decisioning Capabilities (PodBased Model)

  • Guide the organization’s agile pod model for testing personalization ideas.
  • Ensure fast, rigorous tests tied to clear business outcomes and rooted in customer insights and analytics.
  • Leverage standardized and automated measurement to identify winning tests with stats sig confidence.
  • Govern experiment flow so learnings become alwayson capabilities.

Build, Lead & Develop Leaders

  • Lead and develop Data Science, Analytics and Insights teams.
  • Establish clear expectations for leadership effectiveness, technical excellence, and business impact.
  • Build succession plans and a strong talent pipeline to support current and future growth.
  • Foster a culture of accountability, curiosity, and continuous improvement.

Influence & Partner Across the organization

  • Act as a senior strategic partner to leaders across the organization.
  • Translate complex analytical concepts into clear, compelling business narratives.
  • Ensure tight alignment within group between Data Science, Analytics and, Insights, as well as collaboration with marketing, merchandising, Finance and IT.

Governance, Standards & Responsible Data Use

  • Establish organizational standards for model governance, documentation, monitoring, and ethical data usage.
  • Ensure data science efforts comply with privacy, security, and regulatory requirements.
  • Oversee vendor relationships and selectively engage partners where acceleration is needed.

Qualifications

Knowledge, Skills and Abilities

  • 12+ years of experience in data science, analytics, or related quantitative disciplines.
  • 7+ years of experience leading and developing leaders and managers.
  • Proven success deploying machine learning and advanced analytics solutions at scale.
  • Strong background in statistics, experimentation, predictive modeling, and applied analytics.
  • Demonstrated ability to influence executive stakeholders and drive enterprise-level change.
  • Exceptional communication and leadership skills.

Preferred Qualifications

  • Experience in retail, grocery, eCommerce, or consumerfocused industries.
  • Deep experience with personalization, recommendation systems, or decisioning platforms.
  • Familiarity with modern cloud-based data and machine learning ecosystems.
  • Advanced degree in Data Science, Computer Science, Statistics, or a related field.

Benefits

In addition to a rewarding career, Sprouts offers a comprehensive program to help support you and your family. These programs include:

  • Competitive pay
  • Sick time plan that you can use to support you or your immediate families health
  • Vacation accrual plan
  • Opportunities for career growth
  • 15% discount for you and one other family member in your household on all purchases made at Sprouts
  • Flexible schedules
  • Employee Assistance Program (EAP)
  • 401(K) Retirement savings plan with a generous company match
  • Company paid life insurance
  • Contests and appreciation events throughout the year full of prizes, food and fun!

Eligibility requirements may apply for the following benefits:

  • Bonus based on company and/or individual performance
  • Affordable benefit coverage, including medical, dental and vision
  • Health Savings Account with company match
  • Pre-tax Flexible Spending Accounts for healthcare and dependent care
  • Company paid short-term disability coverage
  • Paid parental leave for both mothers and fathers
  • Paid holidays

Get Paid Every Day!

Sprouts Farmers Market offers DailyPay - if you’re hired as an eligible employee, you’ll be able to transfer the money you’ve already earned at no extra cost, and get it the next business day, for free.  We offer DailyPay so you don’t have to wait for payday to access the money you’ve already worked for. With DailyPay, you can see how much you’ve made every day and you can transfer your money any time before payday.

 You can learn more by visiting https://www.dailypay.com/partners/sprouts-farmers-market/.


Why Sprouts

Grow with us!

If you have a passion for inspiring people and a flair for fresh food, consider applying for a job at Sprouts! With a focus on customer service, our neighborhood grocery stores offer high-quality, farm fresh produce, natural meats, plenty of scoop-your-own bulk goods and much more in a fun, friendly, old-fashioned farmer’s market setting.  Come grow your career in healthy living with a fast-paced, rapidly growing company and teams that pride themselves on empowering others along their journey.

The above statements are intended to describe the general nature and level of the work being performed by people assigned to this work. This is not an exhaustive list of all duties, responsibilities, and requirements. Sprouts’ management reserves the right to amend and change duties, responsibilities, and requirements to meet business and organizational needs as necessary.

Sprouts will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of the Fair Chance in Hiring Ordinance.

California Residents: We collect information in accordance with California law, please see here for more information.

Qualifications:

Knowledge, Skills and Abilities

  • 12+ years of experience in data science, analytics, or related quantitative disciplines.
  • 7+ years of experience leading and developing leaders and managers.
  • Proven success deploying machine learning and advanced analytics solutions at scale.
  • Strong background in statistics, experimentation, predictive modeling, and applied analytics.
  • Demonstrated ability to influence executive stakeholders and drive enterprise-level change.
  • Exceptional communication and leadership skills.

Preferred Qualifications

  • Experience in retail, grocery, eCommerce, or consumerfocused industries.
  • Deep experience with personalization, recommendation systems, or decisioning platforms.
  • Familiarity with modern cloud-based data and machine learning ecosystems.
  • Advanced degree in Data Science, Computer Science, Statistics, or a related field.
Education:UNAVAILABLEEmployment Type: FULL_TIME

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