1

Algorithmic Engineer Jobs in Arizona (NOW HIRING)

DSP Engineer (Space)

Tempe, AZ · On-site

$164.50K - $246.50K/yr

Design, develop, and implement advanced DSP algorithms for modulation/demodulation, channel coding/decoding, and synchronization to run on simulated environments * Utilize MATLAB and Simulink to ...

The basic algorithms and deep learning algorithms of related machine learning have a deep ... excellent engineering practice capabilities * Experience in algorithms such as, anti-fraud ...

Geolocation DSP Engineer

Tucson, AZ · On-site

$110K - $148K/yr

Implementation includes algorithm development, analysis, system optimization and deployment ... Electrical Engineering, Computer Engineering, Applied Mathematics, or Physics * Minimum 5 years ...

next page

Showing results 1-20

Algorithmic Engineer information

See Arizona salary details

$55.4K

$104K

$189.2K

How much do algorithmic engineer jobs pay per year?

As of May 30, 2026, the average yearly pay for algorithmic engineer in Arizona is $104,028.00, according to ZipRecruiter salary data. Most workers in this role earn between $75,000.00 and $123,500.00 per year, depending on experience, location, and employer.

What engineers make $300,000 a year?

Senior engineers in fields such as software engineering, data engineering, and specialized roles like algorithmic engineers can earn $300,000 or more annually, especially with experience, advanced skills, and working at large tech companies or in high-demand industries. Compensation often includes base salary, bonuses, and stock options, and requires expertise in programming, systems design, and sometimes certifications or advanced degrees.

What is the difference between Algorithmic Engineer vs Data Scientist?

AspectAlgorithmic EngineerData Scientist
Required CredentialsBachelor's or Master's in Computer Science, Engineering, or related fields; programming skillsBachelor's or Master's in Data Science, Statistics, or related fields; strong analytical skills
Work EnvironmentDevelops algorithms for software, hardware, or embedded systems; often in tech or finance industriesAnalyzes data to extract insights; works in tech, finance, healthcare, and more
Employer & Industry UsageTech companies, finance firms, R&D departmentsTech companies, consulting firms, research institutions

While both roles require strong programming and analytical skills, Algorithmic Engineers focus on designing and implementing algorithms for systems and applications, whereas Data Scientists analyze data to inform business decisions. The roles often overlap in tech environments but serve different primary functions.

What are popular job titles related to Algorithmic Engineer jobs in Arizona? For Algorithmic Engineer jobs in Arizona, the most frequently searched job titles are:
What cities in Arizona are hiring for Algorithmic Engineer jobs? Cities in Arizona with the most Algorithmic Engineer job openings:

Full-time

Posted 14 days ago


Job description

Company Description

Our Client, is an award-winning workplace. They have been recognized by Comparably as #1 CEO, Company Happiness, Benefits, Compensation, Diversity, and more! Not to mention they've been awarded by Glassdoor as the 2nd Best US workplace & Best Large Company US CEO in 2018, Wealthfront, and Business Insider. They culture focuses on delivering happiness, our commitment to transparency, and the tangible benefits we provide our employees and our customers.

Job Description

POSITION TITLE: Anti-Fraud Risk Engineer
LOCATION: Phoenix AZ 
SALARY: Based on Experience 
SPONSORSHIP: No 
Responsibilities:

  • Teamwork with different function teams to design abuse, porn, tele-fraud detection model base on different business product requirement and protection policy.
  • Responsible for developing telephone anti-fraud, anti-spam, anti-pornography, anti-abuse registration and other services
  • Responsible for the implementation and practice of related algorithms under the current mainstream stream computing platform
Qualifications
  • Master's degree + 2 years working experience in machine learning
  • Proficiency in at least one programming language such as Java, Python
  • Proficiency in big data, the use of frameworks related to stream computing, such as Spark, Flink, etc. And familiar with machine learning platforms Tensorflow, Pytorch, Mxnet, etc.
  • The basic algorithms and deep learning algorithms of related machine learning have a deep understanding and mastery, and require the use of related algorithms, experience in the processing of common procedures in feature engineering, and excellent engineering practice capabilities
  • Experience in algorithms such as, anti-fraud, telecommunication risk control, recommendation system, advertising orientation, click model, etc. is preferred
  • Strong research capabilities, such as high-quality papers published in the field ** conferences such as CVPR, ICCV, ICML, NIPS, etc.
  • ACMICPC, NOI / IOI, Top coder, Kaggle competition winners are preferred
  • Research experience related to graph learning and few-shot learning is preferred
  • Language requirement: English, Mandarin is plus
Additional Information

All your information will be kept confidential according to EEO guidelines.