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Senior Machine Learning Researcher Jobs in Phoenix, AZ

Axon

Senior Machine Learning Scientist

Scottsdale, AZ · On-site

$92K - $125K/yr

As a key member of our research and development efforts, you will play a crucial role in advancing ... in computer vision, machine learning, and deep learning, MLLMs, GenAI and integrate relevant ...

Axon

Senior Machine Learning Scientist

Scottsdale, AZ · On-site

$92K - $125K/yr

As a key member of our research and development efforts, you will play a crucial role in advancing ... in computer vision, machine learning, and deep learning, MLLMs, GenAI and integrate relevant ...

Intel

Sr. Machine Learning Engineer

Phoenix, AZ

$103K - $142K/yr

This role sits at the intersection of research and engineering: the ideal candidate designs and ... machine learning engineering, data science or ML research. * Experiences designing and building ...

Intel

Machine Learning Engineer

Phoenix, AZ · On-site

This role sits at the intersection of research and engineering: the ideal candidate designs and ... machine learning engineering, data science or ML research * Proficient in Python * Proficient in ...

Bespoke Labs

Machine Learning Engineer

Mesa, AZ · On-site

About Us We are AI researchers and builders who understand how to curate data and RL environments ... deep learning proficiency (PyTorch preferred; familiar with training loops, optimizers, mixed ...

Bespoke Labs

Machine Learning Engineer

Chandler, AZ · On-site

About Us We are AI researchers and builders who understand how to curate data and RL environments ... deep learning proficiency (PyTorch preferred; familiar with training loops, optimizers, mixed ...

Bespoke Labs

Machine Learning Engineer

Phoenix, AZ · On-site

About Us We are AI researchers and builders who understand how to curate data and RL environments ... deep learning proficiency (PyTorch preferred; familiar with training loops, optimizers, mixed ...

Bespoke Labs

Machine Learning Engineer

Scottsdale, AZ · On-site

About Us We are AI researchers and builders who understand how to curate data and RL environments ... deep learning proficiency (PyTorch preferred; familiar with training loops, optimizers, mixed ...

Bespoke Labs

Machine Learning Engineer

Glendale, AZ · On-site

About Us We are AI researchers and builders who understand how to curate data and RL environments ... deep learning proficiency (PyTorch preferred; familiar with training loops, optimizers, mixed ...

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All JobsMachine Learning Researcher JobsSenior Machine Learning Researcher JobsSenior Machine Learning Researcher Jobs in Phoenix, AZ

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 Jul 30, 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 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 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 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 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 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 job categories do people searching Senior Machine Learning Researcher jobs in Phoenix, AZ look for? The top searched job categories for Senior Machine Learning Researcher jobs in Phoenix, AZ 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:
Senior Machine Learning Researcher jobs near you
Infographic showing various Senior Machine Learning Researcher job openings in Phoenix, AZ as of July 2026, with employment types broken down into 1% As Needed, 76% Full Time, 20% Part Time, 1% Temporary, and 2% Contract. Highlights an 89% Physical, 1% Hybrid, and 10% Remote job distribution, with an average salary of $76,064 per year, or $36.6 per hour.

Senior Machine Learning Engineer

Prime Solutions Group, Inc.

Goodyear, AZ • On-site

$101K - $139K/yr

Full-time

Re-posted 15 days ago

Job description

Job Summary:
Prime Solutions Group (PSG), Inc. is an innovative digital engineering company specializing in advanced sensing, AI/ML, and digital engineering solutions. They are seeking a Senior Machine Learning Engineer to design, build, and deploy AI/ML solutions that power mission-critical systems, focusing on developing pipelines and integrating models into production.
Responsibilities:
• Design, build, and maintain ML pipelines for data preparation, training, evaluation, and deployment
• Develop and optimize ML models and applications using Python and frameworks like PyTorch or TensorFlow
• Integrate models into production systems (APIs, batch pipelines, real-time services)
• Implement model validation, evaluation metrics, and performance monitoring
• Improve model accuracy, scalability, and efficiency through tuning and data strategy improvements
• Collaborate with data engineers and domain experts to prepare and validate datasets
• Partner with DevSecOps/MLOps teams to deploy ML solutions in secure environments
• Troubleshoot model and pipeline issues; perform root cause analysis and optimization
• Contribute to technical documentation, test plans, and operational runbooks
• Participate in design reviews, architecture discussions, and Agile development processes
• Mentor junior engineers and promote engineering best practices
Qualifications:
Required:
• U.S. Citizenship
• Active Top Secret Clearance (SCI eligibility; CI Poly preferred or ability to obtain)
• Bachelor’s degree in Computer Science, Engineering, Data Science, or related field
• 4+ years of experience in: Machine Learning Engineering, Applied AI/ML development, Production ML systems
• Strong Python skills and experience with ML libraries (NumPy, pandas, scikit-learn, PyTorch, TensorFlow)
• Experience developing, training, and deploying ML models in real-world applications
• Solid understanding of the ML lifecycle (data ? training ? validation ? deployment ? monitoring)
• Experience building maintainable, production-quality software
• Familiarity with Docker and cloud environments (AWS, Azure, or GCP)
• Experience working in Agile and CI/CD environments
• Strong problem-solving, communication, and collaboration skills
Preferred:
• Master’s degree in a related field
• Experience with computer vision, image/video analytics, or sensor data (e.g., RF, SAR)
• Experience transitioning models from research to production environments
• Familiarity with experiment tracking, model versioning, and reproducibility practices
• Experience with GPU-based ML workflows and cloud ML platforms
• Background in defense, intelligence, or other regulated environments
Company:
Prime Solutions Group, Inc (PSG) provides engineering services and software data processing products for remote sensing systems. Founded in 2007, the company is headquartered in Goodyear, USA, with a team of 51-200 employees. The company is currently Growth Stage.

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