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Associate Artificial Intelligence Machine Learning Jobs in Phoenix, AZ

AI/ML (Artificial Intelligence & Machine Learning) Algorithms PRIMARY SKILL PERCENTAGE : 60 SECONDARY COMPETENCY : Cognitive Services SECONDARY SKILL : Web Frameworks for Python (Flask & Django ...

Define and enforce governance, security, compliance, and architecture standards for artificial intelligence and machine learning initiatives * Identify high-value AI use cases and guide teams on ...

Senior / Staff Perception Engineer

Phoenix, AZ ยท On-site

$158K - $269K/yr

  • Medical

  • Dental

  • Vision

  • PTO

... artificial intelligence, machine learning, computer vision, and self-driving technologies, and apply insights from the literature. - Work with large datasets from various sources as well as Waabi ...

Senior / Staff Perception Engineer

Phoenix, AZ ยท On-site

$158K - $269K/yr

... artificial intelligence, machine learning, computer vision, and self-driving technologies, and apply insights from the literature. - Work with large datasets from various sources as well as Waabi ...

Apply modern artificial intelligence and machine learning techniques, including large language models (LLMs), generative AI, and advanced analytics, to automate processes, enhance decision-making ...

Patent Agent - EE CS

Phoenix, AZ ยท On-site

$170 - $230/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Artificial Intelligence & Machine Learning * Networking & Communications * Semiconductor Technologies * Computer Systems * Consumer Electronics * Other Emerging Technologies Why Consider This ...

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Showing results 21-40

Associate Artificial Intelligence Machine Learning information

See Phoenix, AZ salary details

$31.3K

$132.1K

$312.3K

How much do associate artificial intelligence machine learning jobs pay per year?

As of Aug 19, 2026, the average yearly pay for associate artificial intelligence machine learning in Phoenix, AZ is $132,119.00, according to ZipRecruiter salary data. Most workers in this role earn between $45,700.00 and $200,600.00 per year, depending on experience, location, and employer.

What does an Associate Artificial Intelligence Machine Learning professional do?

An Associate Artificial Intelligence Machine Learning (AI/ML) professional assists with the development, testing, and deployment of AI and machine learning models. They typically work under the supervision of senior data scientists or machine learning engineers, helping to preprocess data, select algorithms, and evaluate model performance. Their responsibilities may also include writing code, analyzing results, and supporting the integration of models into applications or systems. This entry-level role is ideal for those who have foundational knowledge in AI/ML concepts and are looking to gain practical, hands-on experience in the field.

What are the key skills and qualifications needed to thrive as an Associate Artificial Intelligence Machine Learning professional, and why are they important?

To thrive as an Associate Artificial Intelligence Machine Learning professional, you need a solid background in mathematics, statistics, and computer science, typically with a relevant degree and familiarity with machine learning concepts. Proficiency in programming languages like Python or R, experience with frameworks such as TensorFlow or PyTorch, and knowledge of version control systems are commonly required. Strong problem-solving, analytical thinking, and effective communication skills help differentiate top performers in this role. These skills are crucial for developing accurate models, collaborating with multidisciplinary teams, and driving impactful AI solutions.

What are some common challenges faced by Associate Artificial Intelligence Machine Learning professionals in their first year, and how can they overcome them?

Associate AI/ML professionals often encounter challenges such as understanding complex datasets, adapting to rapidly evolving tools and frameworks, and bridging the gap between theoretical knowledge and practical application. Collaborating closely with senior team members, seeking mentorship, and participating in code reviews are effective ways to overcome these challenges. Additionally, staying updated with industry trends and continuously practicing model building on real-world problems can help associates gain confidence and accelerate their learning curve.

What is the difference between Associate Artificial Intelligence Machine Learning vs Data Scientist?

AspectAssociate Artificial Intelligence Machine LearningData Scientist
Required CredentialsBachelor's in CS, AI, or related; certifications in ML/AIBachelor's/Master's in CS, Statistics, or related; often advanced degrees
Work EnvironmentTech companies, R&D labs, startupsData-driven organizations, consulting firms, tech companies
Employer & Industry UsageAI/ML teams, product developmentData analysis, predictive modeling, business insights
Common Search & ComparisonYesYes

Associate Artificial Intelligence Machine Learning roles focus on developing and implementing AI/ML models, often with entry-level responsibilities. Data Scientists analyze data to extract insights, build predictive models, and support decision-making. While both roles require knowledge of programming and statistics, Data Scientists typically have more advanced degrees and focus on data analysis, whereas Associate AI/ML roles are more specialized in AI/ML model development.

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

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

What are popular job titles related to Associate Artificial Intelligence Machine Learning jobs in Phoenix, AZ?

For Associate Artificial Intelligence Machine Learning jobs in Phoenix, AZ, the most frequently searched job titles are:

Artificial Intelligence Associate Attorney

Direct Counsel

Phoenix, AZ โ€ข On-site, Remote

$235K - $310K/yr

Full-time

Medical, Dental, Vision, Retirement

Posted 5 days ago


Job description

Associate Attorney – Artificial Intelligence

Direct Counsel is seeking an Associate Attorney to join a leading AmLaw 100 law firm’s rapidly growing Artificial Intelligence practice. This is a highly substantive, client-facing opportunity for an attorney with 2–4 years of experience who is interested in working at the intersection of artificial intelligence, emerging technology, regulation, litigation, and corporate transactions.

The ideal candidate will have experience in regulatory/advisory, corporate transactional, or litigation matters and be interested in developing a practice focused on cutting-edge AI issues. Candidates with either a litigation or corporate background are encouraged to apply, provided they are open to working across corporate, regulatory, and litigation matters.

Locations

Atlanta, GA; Austin, TX; Baltimore, MD; Boston, MA; Chicago, IL; Dallas, TX; Houston, TX; Los Angeles, CA; Miami, FL; Minneapolis, MN; New York, NY; Palo Alto, CA; Philadelphia, PA; Phoenix, AZ; Reston, VA; San Diego, CA; San Francisco, CA; Seattle, WA; Short Hills, NJ; Washington, DC; Wilmington, DE

Responsibilities
  • Advise clients on AI governance, regulatory compliance, and risk, including emerging AI transparency, disclosure, and regulatory requirements.

  • Monitor developments in AI law and regulation and translate emerging requirements into practical, client-ready guidance.

  • Support AI-related corporate and technology transactions, including due diligence, drafting and negotiating agreements, and identifying and mitigating AI-specific risks.

  • Develop subject matter expertise in AI issues within the corporate transactional context and serve as a resource to deal teams across the firm.

  • Conduct legal research and draft briefs, motions, memoranda, correspondence, and other high-quality legal work product in support of litigation and regulatory matters.

  • Support fact development, discovery, depositions, and case strategy in litigation and regulatory investigations.

  • Work collaboratively with attorneys across AI, corporate, litigation, and regulatory practices.

  • Build and maintain strong client relationships through effective communication and practical legal advice.

  • Stay current on emerging developments in artificial intelligence, technology, and related legal and regulatory frameworks.

Qualifications
  • J.D. from an accredited law school with strong academic credentials, preferably from a nationally recognized law school.

  • 2–4 years of relevant legal experience, preferably gained at an AmLaw 100 or other top-tier law firm.

  • Experience in one or more of the following areas: regulatory/advisory, corporate transactional, technology transactions, litigation, or regulatory matters.

  • Willingness and ability to work on a mix of corporate and litigation/regulatory matters.

  • Excellent legal research, writing, analytical, and problem-solving skills.

  • Strong judgment and attention to detail.

  • Excellent written and verbal communication skills.

  • Ability to produce polished, high-quality work product under tight deadlines.

  • Strong organizational skills and the ability to manage competing priorities.

  • Ability to work effectively both independently and collaboratively.

  • Admission, or eligibility for admission, in the relevant jurisdiction.

Preferred Qualifications
  • Genuine interest in artificial intelligence and emerging technology.

  • Prior experience advising on AI-related legal or regulatory issues.

  • Experience with technology transactions or AI-related corporate matters.

  • Experience with regulatory investigations or litigation involving emerging technologies.

Compensation & Benefits

The anticipated salary range for this position is $235,000–$310,000 per year, depending on experience, skills, educational and professional background, and overall qualifications. The firm offers a comprehensive benefits package, including medical, dental, vision, and 401(k) benefits.

Work Arrangement

This position offers a hybrid work arrangement combining remote and in-office work, with the specific arrangement determined at the time of hiring.