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Remote Machine Learning Jobs in Arizona (NOW HIRING)

Prosper

Fraud Specialist

Phoenix, AZ · On-site +1

$22.50/hr

Monitor and utilize AI fraud detection tools, machine learning model scores, and alert systems to ... Whether you are working from our San Francisco or Phoenix offices or joining us as a fully remote ...

Dutchbros

Lead Engineer, Data Platforms

Tempe, AZ · On-site +1

$111K - $133K/yr

... machine learning, and AI-driven workflows and will be responsible for designing and implementing ... Location Requirement: This position is eligible for remote work within any state Dutch Bros ...

Prosper

Fraud Specialist

Phoenix, AZ · On-site +1

Monitor and utilize AI fraud detection tools, machine learning model scores, and alert systems to ... Whether you are working from our San Francisco or Phoenix offices or joining us as a fully remote ...

Motorola

Senior DevOps Engineer (US REMOTE)

Phoenix, AZ · Remote

$140K - $170K/yr

Experience with AI/machine learning technologies is strongly preferred. * Familiarity with TCP/IP ... Candidate can live anywhere in the United States. #LI-MP2 #LI-REMOTE Basic Requirements * 8+ years ...

Insight

You will have the flexibility to work fully remote from anywhere across Arizona. Insight at a ... At least 5 years specifically focused on Data Engineering, Analytics, or Machine Learning. * Cloud ...

Paychex

Data Solutions Engineer

Tempe, AZ · On-site +1

$91K - $156K/yr

Stay abreast of the latest trends in cloud computing, machine learning, AI, and data engineering. Explore new technologies and methodologies to continuously improve systems, tools, and data processes.

JDA

Principal Solution Advisor, Execution

Scottsdale, AZ · Remote

$150K - $190K/yr

US-Remote with the ability to travel up to 50% What You'll Do: * Serve as a trusted advisor to ... Knowledge of AI, machine learning, and advanced analytics technologies as they apply to supply ...

Arizona Department of Administration

$18/hr

REMOTE OPTIONS, PHOENIX Categories: Internship DEPARTMENT OF ECONOMIC SECURITY Your Partner For A ... Machine Learning, Data Science, or related technologies. • Data management, data analytics, ETL ...

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All JobsRemote Machine Learning JobsRemote Machine Learning Jobs in Arizona

Remote Machine Learning information

See Arizona salary details

$23.8K

$39.7K

$82K

How much do remote machine learning jobs pay per year?

As of Jun 29, 2026, the average yearly pay for remote machine learning in Arizona is $39,683.00, according to ZipRecruiter salary data. Most workers in this role earn between $30,300.00 and $42,900.00 per year, depending on experience, location, and employer.

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

To thrive as a Remote Machine Learning Engineer, you need a strong background in mathematics, statistics, programming (often Python), and experience with machine learning frameworks, typically supported by a relevant degree. Familiarity with tools such as TensorFlow, PyTorch, cloud platforms (like AWS or GCP), and version control systems is crucial. Strong problem-solving abilities, self-management, and effective virtual communication distinguish top performers in remote settings. These competencies ensure the engineer can build effective models, collaborate across distributed teams, and deliver impactful solutions independently.

What Are Remote Machine Learning Jobs?

Machine learning is a method of analyzing data via automating analytical model building. The premise is that systems can learn from data. Machine learning positions include machine learning engineer, computer vision engineer, and senior deep learning engineer. In a remote machine learning job, you work from home in a branch of artificial intelligence performing duties related to computational processing and data. Your goal is to design models that solve business problems, such as helping organizations avoid unknown risks or find profitable opportunities. Your responsibilities include maintaining data pipelines, performing model research and implementation, building machine learning systems, and onboarding new utilities.

Can I work remotely as a machine learning engineer?

Yes, many machine learning engineer roles are available for remote work, especially in companies that support flexible or distributed teams. Remote positions often require strong skills in programming, data analysis, and familiarity with tools like Python, TensorFlow, or PyTorch, along with good communication skills. However, some roles may require on-site presence for collaboration or access to specialized hardware.

What is a remote machine learning job?

A remote machine learning job involves working with algorithms, data, and models to develop predictive systems or automate tasks, all while working from a location outside of a traditional office setting. Professionals in this role use techniques from statistics and computer science to analyze data, train machine learning models, and deploy solutions for real-world applications. Remote machine learning jobs can span various industries, including technology, healthcare, finance, and e-commerce. These roles typically require strong programming skills, knowledge of machine learning frameworks, and the ability to communicate findings effectively with team members or stakeholders. Working remotely offers flexibility, but also requires discipline and self-motivation to succeed.

Which 5 jobs will survive AI?

Remote machine learning roles such as data scientists, AI researchers, machine learning engineers, AI product managers, and AI ethics specialists are expected to persist as AI advances. These jobs require specialized skills in programming, statistical analysis, and domain expertise that are difficult to fully automate. Continuous learning and proficiency in tools like Python, TensorFlow, or PyTorch are essential for these roles.

What engineers make $500,000?

Senior machine learning engineers with extensive experience, advanced skills in deep learning and data science, and often working in high-demand industries or at large tech companies can earn $500,000 or more annually. Compensation typically includes base salary, bonuses, and stock options, especially in competitive markets.

Are ML jobs in demand?

Machine Learning (ML) jobs are in high demand across various industries such as technology, finance, healthcare, and retail. The growth is driven by increasing adoption of AI solutions, data-driven decision making, and the need for expertise in programming, data analysis, and model deployment, making ML a promising career path.

What are some effective strategies for collaborating with team members while working remotely as a Machine Learning Engineer?

Collaboration in a remote Machine Learning role often relies on clear communication through digital tools such as Slack, Zoom, and project management platforms like Jira or Asana. Regular check-ins and stand-up meetings help keep everyone aligned on project goals and timelines. Sharing code and models via version control systems (like Git) and using collaborative notebooks (such as JupyterHub or Google Colab) are also common practices. Building strong documentation habits and proactively seeking feedback can help ensure smooth teamwork and project success, even across different time zones.

What is the difference between Remote Machine Learning vs Data Scientist?

AspectRemote Machine LearningData Scientist
Required CredentialsBachelor's/Master's in CS, ML certificationsBachelor's/Master's in CS, Statistics, or related field
Work EnvironmentRemote, collaborative teams, tech companiesRemote or on-site, diverse industries, analytics focus
Industry UsageTech, AI startups, researchFinance, healthcare, e-commerce, tech
Search & Comparison IntentOften compared for technical roles in AI/MLBroader data analysis roles, but overlapping skills

Remote Machine Learning specialists focus on developing algorithms and models primarily in tech environments, often requiring advanced programming and ML knowledge. Data Scientists analyze data to extract insights, sometimes utilizing ML techniques. While both roles share skills and credentials, Remote Machine Learning emphasizes model development, whereas Data Scientists focus on data analysis and interpretation.

More about Remote Machine Learning jobs
What are the most commonly searched types of Machine Learning jobs in Arizona? The most popular types of Machine Learning jobs in Arizona are:
What are popular job titles related to Remote Machine Learning jobs in Arizona? For Remote Machine Learning jobs in Arizona, the most frequently searched job titles are:
What job categories do people searching Remote Machine Learning jobs in Arizona look for? The top searched job categories for Remote Machine Learning jobs in Arizona are:
What cities in Arizona are hiring for Remote Machine Learning jobs? Cities in Arizona with the most Remote Machine Learning job openings:
Remote Machine Learning jobs near you

Fraud Specialist

Prosper

Phoenix, AZ • On-site, Remote

$22.50/hr

Full-time

Medical, Retirement

Posted 7 days ago

Key responsibilities

  • Review and analyze fraud cases across multiple products including credit cards, lending, and investor products.

  • Conduct detailed investigations of suspicious transactions, applications, and account activity using information from multiple sources.

  • Engage with customers via phone or email to verify application details and review transaction activity for accuracy and legitimacy.

Job description

Your role in our mission
 
Prosper is seeking smart, energetic professionals to join our Fraud Team. We are rapidly growing our business and are seeking an individual to help build a best-in-class fraud process. Must be extremely detail oriented.
How you'll make an impact
  • Review and analyze fraud cases across multiple products, including credit cards, lending and investor products.
  • Conduct detailed investigation and analysis of collected information from multiple sources (i.e. database records, KYC documentation, external search engines and open-source websites) to determine level of risk associated with suspicious transactions, applications, and account activity.
  • Engage with customers via phone and/or email to verify application details and/or review transaction activity for accuracy and legitimacy.
  • Make critical decisions on case resolution and actions, including account closure, and/or law enforcement engagement recommendations.
  • Identify patterns and trends in fraudulent activity to develop actionable insights and recommend preventive measures.
  • Monitor and utilize AI fraud detection tools, machine learning model scores, and alert systems to detect potential fraud in real-time.
  • Work closely with internal teams, including risk management, operations, compliance, and customer service, to resolve fraud cases efficiently.
  • Communicate investigation findings and outcomes clearly and concisely to relevant parties, including senior management.
  • Maintain detailed records of investigations, findings, and resolutions in compliance with regulatory and internal standards.
  • Ensure all investigations comply with applicable laws, regulations, and internal standards, including Fair Lending and Fair Credit Reporting Acts.
  • Ensure compliance with industry regulations and company policies when handling information.
  • Support leadership for audit and compliance reviews by providing detailed documentation and insights into fraud cases and trends as needed.
  • Contribute to the development and enhancement of fraud policies and procedures for credit card, lending and investor products.
  • Participate in monthly reviews of fraud controls, processes, and systems to identify gaps and areas for improvement.
  • Stay informed and aware of emerging fraud schemes, industry best practices, and regulatory requirements to strengthen fraud investigation measures.
  • Test and provide feedback on fraud detection strategies to enhance their effectiveness.
  • Proactively learn and adopt AI-enhanced tools to streamline manual reviews and improve accuracy of fraud trend indentification.
Skills that will help you thrive
  • Strong attention to detail and critical thinking to drive judgement based problem-solvingthrough analytical thinking.
  • Knowledge of fraud detection systems and tools, such as LexisNexis, Emailage, ThreatMetrix, Sentilink. Basic understanding of AI-driven fraud detection and a strong interest in utilizing Machine Learning model scores to prioritize investigation workflows.
  • Familiarity with credit card and lending industry regulations and practices.
  • Excellent communication skills to include verbal and written documentation of customer interactions and investigation findings.
  • Able to work independently with limited supervision in a professional, proactive, and solution-oriented manner to support business objectives.
  • Positive and able to thrive in a dynamic and fast-paced hybrid environment.
  • Advanced experience reviewing documents for authenticity
  • Detail-oriented with a focus on accuracy and thoroughness in investigations.
  • 1+ years' experience in financial services industry
  • 1+ years' experience as fraud analyst or investigator is a plus
  • Must have High School diploma or GED
Resources to help you prosper
  • A connected experience: We prioritize high-touch collaboration and flexibility. Whether you are working from our San Francisco or Phoenix offices or joining us as a fully remote team member, we provide the digital-first tools and intentional culture to keep you synced and supported
  • Invested in your future: A competitive salary and a 401(k) with a 5% company match to help you build long-term financial security
  • Holistic well-being: We provide the resources you need to thrive, from flexible time off and paid parental leave to an annual wellness allowance and comprehensive health coverage
  • Professional & personal growth: Take advantage of a suite of premium perks, including Udemy access, childcare assistance, pet insurance, and a bevy of additional savings through Beneplace
$22.50 - $22.50 an hour
About Our Operations Team
 
Rooted in our values, Prosper's Operations team is driven by how we can improve the customer experience, always thinking there must be a better way. If you are looking for a mission driven company with a great culture, check us out! As a Prosper employee, you will have the opportunity to take ownership of your career - we offer learning opportunities and career development plans. Come join a dedicated, diverse community that will help you discover your fullest potential! Are you ready to Prosper? 
 
About Us
Prosper introduced U.S. consumers to an innovative approach to personal finance as the first peer-to-peer lending platform in the country. Since 2005, Prosper has helped over 2 million customers achieve financial well-being through a comprehensive suite of digital personal finance products.Prosper's flagship personal loan* marketplace continues to offer unique value for both borrowers and investors, while the Prosper Card provides essential access to credit and flexibility for those managing their financial journey. Guided by its mission to advance financial well-being, Prosper is dedicated to helping people thrive by meeting people where they are with simple, trusted, and affordable financial solutions. Learn more at www.prosper.com.We're on a mission to hire the very best, and we are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that new ideas can come from everywhere. It is important to us that every hire connects with our vision, mission, and core values. Join a leading fintech company that's democratizing finance for all!  
 
Our Values
  • Diversity expands opportunities
  • Collaboration creates better solutions
  • Curiosity fuels our innovation
  • Integrity defines all our relationships
  • Excellence leads to longevity 
  • Simplicity guides our user experience 
  • Accountability at all levels drives results
www.prosper.comOur Story & Team  //   Our Blog 
 
Applicants have rights under Federal Employment Laws.Family & Medical Leave Act (FMLA)Equal Employment Opportunity (EEO)Employee Polygraph Protection Act (EPPA) 
 
California applicants: please click here to view our California Consumer Privacy Act ("CCPA") Notice for Applicants, which describes your rights under the CCPA.
 
Illinois applicants: please click here to view our Artificial Intelligence Notice for Applicants.
 
At Prosper, we're looking for people with passion, integrity, and a hunger to learn. We encourage you to apply even if your experience doesn't precisely match the job description. Your unique skill set and diverse perspective will stand out and set you apart from other candidates. Prosper thrives with people who think outside of the box and aren't afraid to challenge the status quo. We invite you to join us on our mission to advance financial well-being.Prosper is committed to an inclusive and diverse workplace. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, veteran status, or any other status protected under federal, state, or local law, including the San Francisco Fair Chance Ordinance. Prosper will consider for employment qualified applicants who are non-US citizens and will provide green card sponsorship.
*All personal loans are made by WebBank.The Prosper Card is an unsecured credit card issued by Coastal Community Bank, Member FDIC, pursuant to license by Mastercard International.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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