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Algorithms Engineer Jobs in Arizona (NOW HIRING)

Redolent, Inc.

AI/ML Engineer

Phoenix, AZ · On-site

AI/ML Engineer Location: Phoenix, AZ Experience Level: 8+ years Rate: We are seeking a highly ... Design and develop machine learning algorithms for time series forecasting, anomaly detection ...

BloKchain Talent

Anti-Fraud Risk Engineer

Tempe, AZ · On-site

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 ...

Viasat, Inc.

DSP Engineer (Space)

Tempe, AZ · On-site

$164K - $246K/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 ...

BloKchain Talent

Anti-Fraud Risk Engineer

Tempe, AZ · On-site

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 ...

Viasat, Inc.

DSP Engineer (Space)

Tempe, AZ · On-site

$164K - $246K/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 ...

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Algorithms Engineer information

See Arizona salary details

$49.9K

$122.4K

$180.3K

How much do algorithms engineer jobs pay per year?

As of Jul 13, 2026, the average yearly pay for algorithms engineer in Arizona is $122,402.00, according to ZipRecruiter salary data. Most workers in this role earn between $101,100.00 and $137,500.00 per year, depending on experience, location, and employer.

How do Algorithms Engineers typically collaborate with other teams during the product development process?

Algorithms Engineers frequently work alongside cross-functional teams, including software developers, data scientists, and product managers, to ensure that algorithmic solutions are effectively integrated into products. They often participate in regular meetings to discuss requirements, share progress, and troubleshoot technical challenges. Close collaboration is essential, as algorithms must align with product goals and user needs, and Engineers may need to adjust models or optimizations based on feedback from testing or user data. This teamwork not only improves the final product but also provides valuable learning and growth opportunities for Algorithms Engineers.

What are the key skills and qualifications needed to thrive as an Algorithms Engineer, and why are they important?

To thrive as an Algorithms Engineer, you need a strong background in mathematics, computer science, and algorithm design, typically supported by a relevant degree. Proficiency in programming languages such as Python, C++, or Java, and experience with tools like MATLAB or TensorFlow, are commonly required, along with knowledge of data structures and optimization techniques. Analytical thinking, problem-solving abilities, and effective communication are crucial soft skills for collaborating with teams and explaining complex concepts. These skills enable the development of efficient, scalable solutions that drive technological innovation and product performance.

What are Algorithms Engineers?

Algorithms Engineers are professionals who design, analyze, and implement algorithms to solve complex computational problems efficiently. They often work in fields such as software development, artificial intelligence, data science, and computer vision. Their role involves optimizing code for speed and scalability, and collaborating with other engineers and researchers to develop new solutions. Strong skills in mathematics, programming, and problem-solving are essential for this job. Algorithms Engineers play a crucial part in making software systems faster, smarter, and more reliable.

What is the difference between Algorithms Engineer vs Data Scientist?

AspectAlgorithms EngineerData Scientist
Required CredentialsBachelor's or Master's in Computer Science, Electrical Engineering, or related fieldsBachelor's or Master's in Data Science, Statistics, or related fields
Work EnvironmentDevelops algorithms for software, hardware, or embedded systemsAnalyzes data to extract insights, build models, and inform decisions
Industry UsageTech, robotics, AI, and software development companiesFinance, healthcare, marketing, and tech sectors
Common Search/ComparisonFocuses on algorithm design and optimizationFocuses on data analysis and predictive modeling

Algorithms Engineers primarily develop and optimize algorithms for software and hardware systems, while Data Scientists analyze data to generate insights and build predictive models. Both roles require strong programming skills and a background in mathematics, but they serve different purposes within technology and data-driven industries.

What are the most commonly searched types of Algorithms Engineer jobs in Arizona? The most popular types of Algorithms Engineer jobs in Arizona are:
What are popular job titles related to Algorithms Engineer jobs in Arizona? For Algorithms Engineer jobs in Arizona, the most frequently searched job titles are:
What job categories do people searching Algorithms Engineer jobs in Arizona look for? The top searched job categories for Algorithms Engineer jobs in Arizona are:
What cities in Arizona are hiring for Algorithms Engineer jobs? Cities in Arizona with the most Algorithms Engineer job openings:
Algorithms Engineer jobs near you
AI/ML Engineer

AI/ML Engineer

Redolent, Inc.

Phoenix, AZ • On-site

Contractor

Re-posted 27 days ago

Job description

Job Title: AI/ML Engineer
Location: Phoenix, AZ
Experience Level: 8+ years
Rate:
Job Description:
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 algorithms and deep learning applications, particularly for observability data (AIOps). This role requires hands-on experience with time series forecasting, anomaly detection, event classification, and correlation ML algorithms. Additionally, experience in integrating with large language models (LLMs) for effective summarization is essential.
Key Responsibilities:
  • Design and develop machine learning algorithms for time series forecasting, anomaly detection, event classification, and correlation.
  • Develop and implement deep learning applications and systems for observability data (AIOps).
  • Integrate with large language models (LLMs) using prompt engineering, fine-tuning, and retrieval-augmented generation (RAG) techniques.
  • Implement MCP client and server within the Grafana ecosystem or similar platforms.
  • Collaborate with cross-functional teams to ensure seamless integration and deployment of ML models.
  • Lead and mentor a team of engineers, both onshore and offshore.

Required Skills and Experience:
  • Programming Languages: Proficiency in Python and R.
  • ML Frameworks: Experience with TensorFlow, PyTorch, and scikit-learn.
  • Cloud Platforms: Working knowledge of Google Cloud and Azure.
  • Front-End Frameworks/Libraries: Experience with React, Angular, Vue.js, and jQuery.
  • Design Tools: Proficiency in Figma, Adobe XD, or Sketch.
  • Databases: Knowledge of MySQL, MongoDB, and PostgreSQL.
  • Server-Side Languages: Familiarity with Python, Node.js, and Java.
  • Version Control: Experience with Git and other version control systems.
  • Testing: Knowledge of testing frameworks and methodologies.
  • Agile Development: Experience with agile development methodologies.
  • Communication and Collaboration: Strong communication and collaboration skills.

Preferred Qualifications:
  • Experience in AIOps and handling observability data.
  • Proven track record of leading and mentoring engineering teams.
  • Strong problem-solving skills and the ability to work in a fast-paced environment
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About Redolent

Sourced by ZipRecruiter

Redolent, a dynamic and rapidly expanding company committed to excellence in software solutions, where success is fueled by a combination of technical expertise and efficient management practices. Our solutions create a measurable delta in our clients’ productivity and profitability, contributing to their growth and success.

Industry

It services

Company size

51 - 200 Employees

Headquarters location

San Jose, CA, US

Year founded

2008

Social media

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