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Junior Machine Learning Engineer Jobs in Goodyear, AZ

Waabi

Senior / Staff Perception Engineer

Phoenix, AZ

$158K - $269K/yr

... machine learning, computer vision, and self-driving technologies, and apply insights from the ... Python programming with a focus on writing high-quality, well-structured, and tested code ...

Redolent, Inc.

AI/ML Engineer

Phoenix, AZ · On-site

We are seeking a highly skilled AI/ML Engineer to join our team ... The ideal candidate will have extensive experience in designing and developing machine learning ...

Staffingine LLC

AI Engineer

Phoenix, AZ · On-site

Design develop and deploy AI and machine learning models using Python and relevant AI stacks Manage ... engineers and stakeholders to ensure project success Continuously monitor and improve AI system ...

Pwc

US Tech - AI Engineering Manager

Phoenix, AZ · On-site

$73K - $244K/yr

Those in data science and machine learning engineering at PwC will focus on leveraging advanced ... Responsibilities - Mentor junior engineers and foster their growth - Maintain security and ...

Pwc

AI Solutions Engineering Delivery Lead

Phoenix, AZ · On-site

$101K - $134K/yr

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 ...

Staffingine LLC

AI ML Engineer

Phoenix, AZ · On-site

$113K - $136K/yr

Programming Languages Python Pandas NumPy Scikitlearn SQL ... Statistical Modeling Machine Learning Regression Classification Clustering Time Series Forecasting

Intel

Senior AI / Data Science Engineer

Phoenix, AZ · On-site

$105K - $143K/yr

Lead development of advanced AI, Machine Learning, and Generative AI solutions that address ... Collaborate closely with Yield Engineering, Process Integration, Manufacturing, and Technology ...

Deloitte

Lead Forward Deployed Engineer - AWS

Tempe, AZ

$98K - $129K/yr

... Machine Learning Engineer (Associate - MLA-C01) or AWS Certified Data Engineer (Associate) * 1+ years of experience building reliable, maintainable, and well-documented code * Ability to travel 50 ...

Deloitte

Senior Forward Deployed Engineer- AWS

Tempe, AZ

$100K - $137K/yr

... Machine Learning Engineer (Associate - MLA-C01) or AWS Certified Data Engineer (Associate) * 1+ years of experience building reliable, maintainable, and well-documented code * Ability to travel 50 ...

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All JobsMachine Learning Engineer JobsJunior Machine Learning Engineer JobsJunior Machine Learning Engineer Jobs in Goodyear, AZ

Junior Machine Learning Engineer information

See Goodyear, AZ salary details

$32.7K

$70.2K

$107K

How much do junior machine learning engineer jobs pay per year?

As of Aug 13, 2026, the average yearly pay for junior machine learning engineer in Goodyear, AZ is $70,152.00, according to ZipRecruiter salary data. Most workers in this role earn between $47,400.00 and $78,200.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a junior machine learning engineer, and why are they important?

To succeed as a Junior Machine Learning Engineer, you need a solid grasp of programming (especially Python), foundational knowledge of algorithms and statistics, and a relevant degree in computer science, mathematics, or a related field. Familiarity with machine learning frameworks such as TensorFlow or PyTorch and tools like scikit-learn, as well as experience with version control systems like Git, are typically required. Strong problem-solving abilities, attention to detail, and a willingness to learn from feedback are valuable soft skills that help you adapt and grow in the field. These skills ensure you can effectively develop, test, and improve machine learning models while collaborating with more experienced engineers and contributing to team projects.

What kinds of projects and responsibilities can a junior machine learning engineer expect in their first year on the job?

As a Junior Machine Learning Engineer, you’ll typically work on tasks such as data preprocessing, building and testing simple models, and supporting more senior engineers in deploying machine learning solutions. Your responsibilities may also include cleaning datasets, implementing basic algorithms, and running experiments to evaluate model performance. You’ll often collaborate closely with data scientists, software engineers, and product teams to understand project goals and learn best practices. The role provides excellent opportunities to develop your technical skills, gain exposure to various stages of the ML pipeline, and gradually take on more complex projects as you grow.

What is the difference between Junior Machine Learning Engineer vs Data Scientist?

AspectJunior Machine Learning EngineerData Scientist
Required CredentialsBachelor's in CS, Data Science, or related; some experience with ML frameworksBachelor's or higher in CS, Statistics, or related; often advanced certifications
Work EnvironmentDeveloping and deploying ML models, coding, testingData analysis, statistical modeling, interpreting data insights
Employer & Industry UsageTech companies, startups, AI-focused firmsFinance, healthcare, tech, consulting
Search & Comparison IntentYesYes

While both roles involve working with data and machine learning, Junior Machine Learning Engineers focus on building and deploying models, often with coding and engineering skills. Data Scientists analyze data, create statistical models, and interpret insights. The roles overlap but differ mainly in their core responsibilities and skill emphasis.

What does a junior machine learning engineer do?

As a junior machine learning engineer, you work in AI, performing research with algorithms and data modeling techniques. Machine learning involves using large collections of data to create systems that are capable of making predictions, and in this field, your duties and responsibilities revolve around using advanced mathematics to design applications for use in everything from stock trading to sports betting. Some machine learning efforts involve images, and this branch of the field is known as computer vision, while other techniques which focus on text are called natural language processing (NLP). Given these divisions, titles in machine learning include computer vision engineer, NLP scientist, or simply research scientist.

More about Junior Machine Learning Engineer jobs
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What cities near Goodyear, AZ are hiring for Junior Machine Learning Engineer jobs? Cities near Goodyear, AZ with the most Junior Machine Learning Engineer job openings:
Junior Machine Learning Engineer jobs near you

Senior / Staff Perception Engineer

Waabi

Phoenix, AZ

$158K - $269K/yr

Full-time

Re-posted 28 days ago

Job description

Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.

With offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai

As a Senior Perception Engineer, you will be at the forefront of advancing and deploying perception algorithms for our self-driving vehicles. You will work closely with our team of world-renowned scientists and engineers specializing in deep learning, computer vision, and self-driving technologies to develop cutting-edge solutions that enable our vehicles to perceive the world around them. We value originality, innovation, and a commitment to rigorous experimental validation and code quality as we strive to bring research ideas into production and push the boundaries of self-driving technology.
 
You will...
- Prototype, evaluate, and iterate on perception algorithms, using real-world data and simulations, to improve the accuracy, robustness, and safety of our self-driving technology. This includes working on 3D detection and tracking of traffic agents as well as semantic understanding of various traffic scenes.
- Formulate problems and propose pragmatic and long-term solutions based on research insights, leveraging your expertise in deep learning, computer vision, and self-driving.
- Support productizing and deploying perception algorithms to our self-driving vehicles, collaborating closely with platform teams to ensure seamless integration of research findings into our self-driving system.
- Champion engineering excellence, ensuring high-quality, well structured and tested code.
- Collaborate in a multidisciplinary team solving problems related to perception, motion forecasting, planning, traffic modeling and sensor simulation, integrating research findings into our self-driving system and contributing to the development of a unified self-driving platform.
- Stay up-to-date with the latest advancements in the field of 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 World, our high-fidelity simulator.
- Contribute to the publication of research findings in conferences as well as Waabi's blog.
 
Qualifications:
- MS/PhD or Bachelors degree with a minimum of 4 years of industry experience in Computer Science, Machine Learning and/or similar technical field(s) of study.
- Experience working on applied research projects and shipping machine learning features/models into production.
- Experience driving projects on 3D detection, tracking of traffic agents and/or semantic understanding of various traffic scenes.
- Passion for taking research ideas and turning them into practical solutions for real-world applications.
- Solid understanding of computing fundamentals, including code efficiency.
- Proficient in Python programming with a focus on writing high-quality, well-structured, and tested code.
- Comfortable working with large datasets for machine learning applications.
- Strong grasp of machine learning and computer vision literature, including current trends and state-of-the-art techniques.
- Open-minded and collaborative team player with the willingness to help others.
- Experience and excitement in supporting a fast-paced high-growth environment.
- Passionate about being part of an organization solving self-driving technologies.
 
Bonus/nice to have:
- Previous experience in multimodal sensor fusion. 
- Previous experience in self-driving technology or related fields.
- Publications in top-tier conferences or journals related to computer vision, machine learning, or robotics.
- Experience in working with platform teams and collaborating with research teams to implement and validate deep learning models.
- Proficiency in Pytorch, Rust, C++ and/or CUDA.
The US yearly salary range for this role is: $158,000 - $269,000 USD in addition to competitive perks & benefits. Waabi US Inc.’s yearly salary ranges are determined based on several factors in accordance with the Company’s compensation practices. The salary base range is reflective of the minimum and maximum target for new hire salaries for the position across all US locations.  Note: The Company provides additional compensation for employees in this role, including equity incentive awards and an annual performance bonus.

Perks/Benefits:
- Competitive compensation and equity awards.
- Health and Wellness benefits encompassing Medical, Dental and Vision coverage (for full-time employees only).
- Unlimited Vacation.
- Flexible hours and Work from Home support.
- Daily drinks, snacks and catered meals (when in office).
- Regularly scheduled team building activities and social events both on-site, off-site & virtually.
- As we grow, this list continues to evolve! 

Waabi is a technology start-up building technologies to transform the way the world moves. Join our talented team to be a part of the future and to make an impact!

Waabi is an equal opportunity employer. We celebrate diversity and are committed to creating a supportive, inclusive, and accessible workplace for all our employees. We seek applicants of all backgrounds and identities, across race, color, ethnicity, national origin or ancestry, age, citizenship, religion, sex, sexual orientation, gender identity or expression, military or veteran status, marital status, pregnancy or parental status, caregiver status, disability, or any other characteristic protected by law. We make workplace accommodations for qualified individuals with disabilities as required by applicable law. If reasonable accommodation is needed to participate in the job application or interview process please let our recruiting team know.

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.