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Senior Algorithm Engineer Jobs in Texas (NOW HIRING)

Photon

Senior ML Ops Engineer

Dallas, TX · On-site

$103K - $142K/yr

Machine Learning Algorithms. * Statistical Modeling. * End to end deployment. * Metric generation. * Model monitoring and deployment. * Prompt Engineering * Hand on with ML Model optimization ...

Raytheon

Senior Systems Engineer - EO/IR

Plano, TX

$100K - $136K/yr

The Senior System Engineer will apply advanced knowledge of EO/IR sensors and mode performance to ... Performance analysis, algorithm development, algorithm analysis, trade study generation ...

New

A3N consulting Llc

Senior ML Ops Engineer

Dallas, TX · On-site

$103K - $142K/yr

Machine Learning Algorithms. * Statistical Modeling. * End to end deployment. * Metric generation. * Model monitoring and deployment. * Prompt Engineering * Hand on with ML Model optimization ...

New

Lockheed Martin

Software Engineer Sr

Fort Worth, TX · On-site

$117K - $154K/yr

The Sensor Fusion team is seeking a Senior Software Engineer to help prototype and integrate applications and algorithms (C++, C#, Python) spanning the domains of artificial intelligence / machine ...

Apptronik

Senior Reinforcement Learning Engineer

Austin, TX · On-site

$103K - $142K/yr

The Senior Reinforcement Learning Engineer will focus on achieving state-of-the-art performance on ... Responsibilities : • Implement and deploy state-of-the-art RL algorithms to achieve ambitious ...

Avride

Senior / Staff Machine Learning Engineer

Austin, TX · On-site

$124K - $171K/yr

We are hiring experienced Machine Learning Engineers across Senior, Staff, and Principal levels to ... Required : • Strong understanding of fundamental machine learning algorithms and neural network ...

Apptronik

Senior Reinforcement Learning Engineer

Austin, TX · On-site

$103K - $142K/yr

JOB SUMMARY The Senior Reinforcement Learning Engineer is a key, hands-on role focused on achieving ... Implement and deploy state-of-the-art RL algorithms to achieve ambitious, world-class performance ...

Apptronik

Senior Reinforcement Learning Engineer

Austin, TX · On-site

$103K - $142K/yr

The Senior Reinforcement Learning Engineer will leverage their expertise in reinforcement learning ... Responsibilities : • Implement and deploy state-of-the-art RL algorithms to achieve ambitious ...

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Senior Algorithm Engineer information

See Texas salary details

$55.4K

$117.9K

$171K

How much do senior algorithm engineer jobs pay per year?

As of Jul 10, 2026, the average yearly pay for senior algorithm engineer in Texas is $117,907.00, according to ZipRecruiter salary data. Most workers in this role earn between $97,400.00 and $133,700.00 per year, depending on experience, location, and employer.

What is the difference between Senior Algorithm Engineer vs Data Scientist?

AspectSenior Algorithm EngineerData Scientist
Required CredentialsBachelor's or Master's in CS, EE, or related; strong math and programming skillsBachelor's or Master's in CS, Statistics, or related; strong analytical and programming skills
Work EnvironmentDevelops algorithms for software, hardware, or embedded systems in tech companiesAnalyzes data to extract insights, often in tech, finance, or healthcare sectors
Industry UsageCommon in AI, robotics, and software developmentPrevalent in analytics, machine learning, and business intelligence

While both roles require strong programming and analytical skills, Senior Algorithm Engineers focus on designing and optimizing algorithms for technical systems, whereas Data Scientists analyze data to inform business decisions. The roles often overlap in AI and machine learning projects but serve different primary functions within organizations.

What are some common challenges faced by Senior Algorithm Engineers when deploying algorithms into production environments?

Senior Algorithm Engineers often encounter challenges such as ensuring that algorithms are both scalable and efficient when integrated into real-time systems. Balancing model accuracy with computational resource constraints is a frequent task, as well as addressing data inconsistencies and managing version control for iterative algorithm updates. Collaboration with software engineers and data engineers is essential to ensure smooth deployment, monitor performance, and quickly resolve any production issues. Staying updated with the latest frameworks and best practices also helps in overcoming these challenges.

What are the key skills and qualifications needed to thrive as a Senior Algorithm Engineer, and why are they important?

To thrive as a Senior Algorithm Engineer, you need advanced proficiency in mathematics, computer science, and algorithm design, usually supported by a relevant degree and extensive experience in the field. Expertise with programming languages such as Python or C++, proficiency with machine learning libraries, and familiarity with version control systems like Git are commonly required. Strong problem-solving skills, attention to detail, and the ability to communicate complex ideas clearly help set top candidates apart. These skills are crucial for developing robust, efficient solutions and collaborating effectively on challenging technical projects.

What does a Senior Algorithm Engineer do?

A Senior Algorithm Engineer is responsible for designing, developing, and optimizing complex algorithms that solve technical problems or enhance product performance. They often work with large datasets, machine learning models, or mathematical techniques to create efficient solutions. In addition to coding, they may collaborate with cross-functional teams, review the work of junior engineers, and help set the technical direction for algorithm development projects. Their expertise ensures that products and systems run efficiently and accurately.
What are the most commonly searched types of Algorithm Engineer jobs in Texas? The most popular types of Algorithm Engineer jobs in Texas are:
What cities in Texas are hiring for Senior Algorithm Engineer jobs? Cities in Texas with the most Senior Algorithm Engineer job openings:
Senior Algorithm Engineer jobs near you
Senior ML Ops Engineer

Senior ML Ops Engineer

Photon

Dallas, TX • On-site

$103K - $142K/yr

Other

Posted 8 days ago

Job description

Job Title: Senior ML Ops Engineer
Location: Dallas TX (Onsite)
Job Description:
Must Have - Tech Skills:
  • Hands on with designing end to end scalable ML system (should have worked on recent projects within last 12 months).
  • Hands on with implementation of scalable ML system. Proven ownership across entire or partial ML and MLOps lifecycle:
    • Evaluation Techniques.
    • Machine Learning Algorithms.
    • Statistical Modeling.
    • End to end deployment.
    • Metric generation.
    • Model monitoring and deployment.
    • Prompt Engineering
  • Hand on with ML Model optimization - quantization, pruning, or speculative decoding etc.
  • Hand on with ML Model system optimizations ie ability to quickly identify bottlenecks and resolve them from System perspective.
  • Programming & Frameworks: Hands on and have worked on recent projects (within last 12months) in:
    • Java
      • library/dependency management
      • Package and distribution management
      • Algorithms
    • Python
    • Tensorflow / PyTorch
  • Knowledge of DevOps principles and tools (e.g., CI/CD pipelines, Terraform).
  • Strong understanding of containerization technologies (e.g., Docker, Kubernetes).
Must Have - Soft Skills:
  • Good Team worker & good collaborations skills.
  • Ability to abstract out details, define problem & have clear technical communication.
  • Ability to lead inter-team communication.
  • Ability to write crisp and effective documentation.
  • Ensures that deadlines are met.
Good To Have - Tech Skills:
  • Google Cloud Platform ML Tech stack.
  • Experienced with Infrastructure as Code (IaC).
  • Experience with big data technologies such as Apache Spark or Hadoop.
  • Stay informed about the ethical implications of machine learning eg: selection bias.
  • Model Training
  • Data Analytics - figure out anomalies , skew , discrepancies
  • Hands on with developing on device ML System.
Good To Have - Soft Skills:
  • Mentoring and Leadership.
  • Project Management.

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