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Vice President Machine Learning Jobs in Phoenix, AZ

Vice President Digital Pathology Caris Life Sciences Tempe, AZ At Caris, we understand that cancer ... Experience supporting computational pathology, artificial intelligence, machine learning, and ...

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Vice President of Finance

Tempe, AZ ยท On-site

$180 - $280/hr

Vice President of Finance (CPA Preferred) - Tempe, AZ Position Type: Full Time, Exempt Employee ... We take our core values of Celebration , A ccountability , Passion for Learning , Love One Another ...

Vice President of Finance

Tempe, AZ ยท On-site

$160 - $230/hr

Vice President of Finance (CPA Preferred) - Tempe, AZ Position Type: Full Time, Exempt Employee ... We take our core values of Celebration , A ccountability , Passion for Learning , Love One Another ...

Vice President of Finance (CPA Preferred) - Tempe, AZ Position Type: Full Time, Exempt Employee ... We take our core values of Celebration , A ccountability , Passion for Learning , Love One Another ...

We are seeking an exceptional Associate Vice President of Sales, reporting to the Vice President ... Continuously seek out industry learning, new trends, and emerging opportunities; bring fresh ...

Associate Vice President, Sales

Tempe, AZ ยท On-site

$180 - $260/hr

We are seeking an exceptional Associate Vice President of Sales, reporting to the Vice President ... Continuously seek out industry learning, new trends, and emerging opportunities; bring fresh ...

Posted today

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Vice President Machine Learning information

See Phoenix, AZ salary details

$35.2K

$113.9K

$180.2K

How much do vice president machine learning jobs pay per year?

As of Sep 4, 2026, the average yearly pay for vice president machine learning in Phoenix, AZ is $113,915.00, according to ZipRecruiter salary data. Most workers in this role earn between $94,300.00 and $142,000.00 per year, depending on experience, location, and employer.

What does a vice president of machine learning do?

A Vice President of Machine Learning leads and oversees the strategic direction of machine learning initiatives within an organization. They manage teams of data scientists, engineers, and researchers to develop and deploy AI-driven solutions that support business goals. This role involves collaborating with other executives, setting research agendas, ensuring best practices, and staying updated with the latest advancements in the field. The VP also plays a key role in resource allocation, talent acquisition, and scaling machine learning systems across the company.

What are the key skills and qualifications needed to thrive as a vice president of machine learning?

To thrive as a Vice President of Machine Learning, you need advanced expertise in machine learning, data science, and computer science, typically backed by a master's or PhD and extensive industry experience. Proficiency with platforms like TensorFlow, PyTorch, cloud computing services, and experience managing large-scale AI projects are crucial, along with a track record in leading technical teams. Exceptional leadership, strategic vision, and strong communication skills set outstanding candidates apart by enabling effective cross-functional collaboration and innovation. These skills are vital for driving organizational AI strategy, ensuring technical excellence, and delivering scalable business impact.

What are some common challenges faced by a vice president of machine learning when leading cross-functional teams?

A Vice President of Machine Learning often encounters challenges such as aligning diverse teams on technical priorities, managing expectations across product, engineering, and business units, and ensuring effective communication between stakeholders with varying levels of technical expertise. Balancing the need for innovation with practical business objectives and resource constraints is also a frequent challenge. Cultivating a collaborative culture and fostering ongoing professional development are key to overcoming these hurdles and driving successful outcomes.

What is the difference between Vice President Machine Learning vs Director of Machine Learning?

AspectVice President Machine LearningDirector of Machine Learning
Required CredentialsAdvanced degrees (Master's/PhD), extensive experience in MLSimilar educational background, less senior experience needed
Work EnvironmentStrategic leadership, cross-departmental collaborationProject management, team oversight
Employer & Industry UsageLarge tech firms, enterprises with AI focusTech companies, startups, research labs
Search & Comparison IntentHigh overlap in responsibilities and qualificationsRelated but more operational role

The Vice President Machine Learning typically holds a senior leadership role focused on strategic planning and cross-functional collaboration, while the Director of Machine Learning manages day-to-day projects and teams. Both roles require advanced degrees and experience in machine learning, but the VP is more involved in high-level decision-making and industry strategy.

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

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

What job categories do people searching Vice President Machine Learning jobs in Phoenix, AZ look for?

The top searched job categories for Vice President Machine Learning jobs in Phoenix, AZ are:

Vice President - Data Science

Caris Life Sciences, Ltd.

Tempe, AZ โ€ข On-site

$150 - $200/hr

Other

Posted 3 days ago

New


Job description

## Vice President - Data ScienceApplylocations: Tempe, AZ - 85281time type: Full timeposted on: Posted Yesterdayjob requisition id: JR104839**At Caris, we understand that cancer is an ugly wordโ€”a word no one wants to hear, but one that connects us all. Thatโ€™s why weโ€™re not just transforming cancer careโ€”weโ€™re changing lives.** We introduced precision medicine to the world and built an industry around the idea that every patient deserves answers as unique as their DNA. Backed by cutting-edge molecular science and AI, we ask ourselves every day: *โ€œWhat would I do if this patient were my mom?โ€* That question drives everything we do. But our mission doesnโ€™t stop with cancer. We're pushing the frontiers of medicine and leading a revolution in healthcareโ€”driven by innovation, compassion, and purpose. **Join us in our mission to improve the human condition across multiple diseases. If you're passionate about meaningful work and want to be part of something bigger than yourself, Caris is where your impact begins.****Position Summary** The Vice President, Data Science provides senior leadership for Carisโ€™ AI-driven clinical insights and predictive modeling initiatives. This role leads the development of novel AI signatures leveraging Carisโ€™ large-scale clinico-genomic database to identify molecular characteristics of disease that are prognostic of patient outcomes or predictive of response to therapy. The Vice President oversees a multidisciplinary team of data scientists, computational biologists, and translational researchers responsible for identifying clinically meaningful questions, developing and validating AI-based molecular signatures, and translating discoveries into scalable clinical reporting capabilities. Partnering with Executive Leadership, R&D, Clinical Development, Medical Affairs, Bioinformatics, Regulatory Affairs, and Commercial teams, this role ensures delivery of scientifically rigorous, clinically meaningful, and operationally scalable AI innovations that advance precision medicine. **Job Responsibilities*** Define and execute the strategy for AI-driven clinical insight and molecular signature development across Carisโ€™ molecular profiling platforms.* Identify clinically relevant questions where advanced analytics can deliver prognostic or predictive insights.* Oversee development of AI signatures integrating genomic, transcriptomic, proteomic, and clinical outcomes data.* Establish governance and standards for model development, validation, documentation, and lifecycle management.* Collaborate with Regulatory and Clinical Development teams to ensure appropriate validation and evidence generation.* Lead implementation of AI products within a regulated CAP/CLIA clinical environment.* Oversee engineering and production deployment of AI pipelines within Carisโ€™ clinical reporting infrastructure.* Ensure scalable, reproducible, auditable computational pipelines and canonical data models.* Lead development of clinically interpretable reporting frameworks for physicians.* Partner with Product and Commercial teams to integrate AI insights into clinical reports and decision-support tools.* Build, mentor, and lead high-performing teams of data scientists and computational biologists.* Set organizational goals, budgets, roadmaps, OKRs, and performance metrics aligned with corporate priorities.* Champion a culture of scientific rigor, accountability, transparency, and continuous improvement.**Required Qualifications*** PhD in Data Science, Biostatistics, Computer Science, Biomedical Engineering, or a related field.* 10+ years of experience building and implementing supervised and unsupervised machine learning models for complex problem solving.* Expert proficiency in Python (pandas, NumPy, statistical and ML libraries) and SQL.* Strong expertise in machine learning, statistical modeling, and large-scale biomedical data analysis.* Experience working with multi-omic datasets including genomics, transcriptomics, and proteomics.* Experience leveraging large clinical datasets for biomarker discovery, predictive modeling, or outcomes research.* Working knowledge of regulatory considerations for algorithm development in clinical diagnostics environments.* Demonstrated people leadership and direct management experience with accountability for large-scale outcomes.* Outstanding verbal and written communication skills.* Proficient in Microsoft Office Suite including Word, Excel, Outlook, and PowerPoint.* This is an onsite role based at our Phoenix, AZ office and requires regular inโ€person presence.**Preferred Qualifications*** Experience working in regulated clinical laboratory environments (CAP/CLIA).* Familiarity with cloud computing platforms and large-scale data infrastructures.* Experience translating advanced analytics into physician-facing clinical products.**Physical Demands*** Ability to sit, stand, and work at a computer for extended periods of time.**Training*** All job-specific, safety, and compliance training assigned based on job responsibilities.**Other*** May require occasional after-hours work to meet deadlines.* May require occasional travel.**Conditions of Employment:** Individual must successfully complete pre-employment process, which includes criminal background check, drug screening, credit check ( applicable for certain positions) and reference verification.This job description reflects managementโ€™s assignment of essential functions. Nothing in this job description restricts managementโ€™s right to assign or reassign duties and responsibilities to this job at any time. #J-18808-Ljbffr