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Machine Learning Robotics Jobs in Arizona (NOW HIRING)

Those in data science and machine learning engineering at PwC will focus on leveraging advanced ... Intelligence and Robotics preferred - Demonstrating exceptional team leadership abilities ...

Those in data science and machine learning engineering at PwC will focus on leveraging advanced ... and Robotics preferred - Crafting and conveying clear, impactful messages - Applying systems ...

Learning and Development * Crosstrain on multiple machines and fabrication processes. * Demonstrate a willingness to learn new equipment, automation, and robotic systems. * Participate in training ...

... and machine learning. - Manage the end-to-end orchestration of the large-scale auto-labelling ... Qualifications: - Bachelors degree with a Computer Science, Robotics and/or similar technical field ...

... and machine learning. - Manage the end-to-end orchestration of the large-scale auto-labelling ... Qualifications: - Bachelors degree with a Computer Science, Robotics and/or similar technical field ...

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Machine Learning Robotics information

See Arizona salary details

$23.8K

$39.7K

$82K

How much do machine learning robotics jobs pay per year?

As of Jun 19, 2026, the average yearly pay for machine learning robotics 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 in the Machine Learning Robotics position, and why are they important?

To excel in Machine Learning Robotics, a strong background in computer science, robotics, and machine learning algorithms, often supported by a relevant degree (such as in engineering or computer science), is essential. Familiarity with programming languages like Python or C++, frameworks such as TensorFlow or ROS (Robot Operating System), and experience with simulation tools are highly valuable, and certifications in AI or robotics can further enhance employability. Strong problem-solving skills, effective communication, and the ability to work collaboratively in cross-disciplinary teams help professionals stand out. These capabilities are crucial for designing, developing, and refining intelligent robotic systems that perform reliably in real-world environments.

What are some common challenges faced by professionals working in Machine Learning Robotics?

Professionals in Machine Learning Robotics often encounter challenges like integrating machine learning models with robotic hardware, ensuring reliable performance in unpredictable real-world settings, and managing computational limitations on embedded systems. Addressing these challenges usually requires creative problem-solving and close collaboration with hardware engineers, software developers, and data scientists. You may also need to continuously refine models and testing processes based on real-time feedback and evolving project goals. This dynamic environment makes the work both demanding and highly rewarding for those eager to push the boundaries of automation and intelligent systems.

What is a Machine Learning Robotics job?

A Machine Learning Robotics job involves developing algorithms that enable robots to learn from data and improve their performance over time. Professionals in this field work on applications such as autonomous navigation, robotic perception, and human-robot interaction. They use techniques like deep learning, reinforcement learning, and computer vision to enhance a robot's ability to understand and interact with its environment. This role typically requires expertise in machine learning, robotics, and software development, along with strong problem-solving skills.

What are the most commonly searched types of Machine Learning Robotics jobs in Arizona? The most popular types of Machine Learning Robotics jobs in Arizona are:
NGA AI Engineer Manager

NGA AI Engineer Manager

Pwc

Phoenix, AZ

$73K - $244K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 8 days ago


PwC rating

8.4

Company rating: 8.4 out of 10

Based on 74 frontline employees who took The Breakroom Quiz

19th of 57 rated business consultants


Job description

Industry/Sector

Not Applicable

Specialism

IFS - Information Technology (IT)

Management Level

Manager

Job Description & Summary

At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth.
Those in data science and machine learning engineering at PwC will focus on leveraging advanced analytics and machine learning techniques to extract insights from large datasets and drive data-driven decision making. You will work on developing predictive models, conducting statistical analysis, and creating data visualisations to solve complex business problems.
Enhancing your leadership style, you motivate, develop and inspire others to deliver quality. You are responsible for coaching, leveraging team member's unique strengths, and managing performance to deliver on client expectations. With your growing knowledge of how business works, you play an important role in identifying opportunities that contribute to the success of our Firm. You are expected to lead with integrity and authenticity, articulating our purpose and values in a meaningful way. You embrace technology and innovation to enhance your delivery and encourage others to do the same.
Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to:
Analyse and identify the linkages and interactions between the component parts of an entire system.
Take ownership of projects, ensuring their successful planning, budgeting, execution, and completion.
Partner with team leadership to ensure collective ownership of quality, timelines, and deliverables.
Develop skills outside your comfort zone, and encourage others to do the same.
Effectively mentor others.
Use the review of work as an opportunity to deepen the expertise of team members.
Address conflicts or issues, engaging in difficult conversations with clients, team members and other stakeholders, escalating where appropriate.
Uphold and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements.
The Opportunity
As part of the Data and Analytics Engineering team you will lead the development of innovative
AI solutions that drive remarkable client outcomes. As a Manager you will supervise, develop,
and coach teams while managing client service accounts, securing the delivery of quality results
that meet and exceed expectations. This role offers the chance to cultivate powerful client
relationships and drive continuous improvement initiatives, all while embracing technology and
innovation to enhance project delivery.
Responsibilities
- Manage client accounts and secure the delivery of exceptional results
- Foster sturdy relationships with clients to understand their needs
- Analyze complex data sets to derive actionable insights
- Confirm adherence to quality standards and established practices in deliverables
What You Must Have
- High School Diploma
- At least 4 years of experience
What Sets You Apart
- Master's Degree in Computer Engineering, Data Processing/Analytics/Science, Computer
Science, Software Engineering, Artificial Intelligence and Robotics preferred
- Demonstrating exceptional team leadership abilities
- Managing client service accounts to deliver exceptional outcomes
- Fostering a collaborative environment for innovation
- Analyzing complex data sets for actionable insights
- Implementing industry standards for project management
- Cultivating relationships with clients to understand needs
- Driving continuous improvement initiatives within teams
- Understanding production-grade quality gates and monitoring

Travel Requirements

Up to 60%

Job Posting End Date

The salary range for this position is: $73,500 - $212,280. For residents of Washington state the salary range for this position is: $73,500 - $244,000. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. All hired individuals are eligible for an annual discretionary bonus. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glanceAs PwC is anequal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law.PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy.Learn more about how we work: https://pwc.to/how-we-workFor only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all.Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines: https://pwc.to/us-application-deadlines

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