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Remote Algorithms Engineer Jobs in Houston, TX (NOW HIRING)

SupplyHouse

Principal Engineer

Houston, TX · Remote

$50K - $60K/yr

Through an Employer of Record (EOR), we are looking for a new Principal Backend Engineer in India ... Deep understanding of data structures , algorithms

DataAnnotation

Software Engineer - AI Trainer

Houston, TX · On-site +1

$50 - $100/hr

Contribute to developing cutting-edge AI systems, while enjoying the flexibility of remote work and ... Experience with algorithms, data structures, and debugging workflows * A current, in progress, or ...

GMV

Full Stack Software Engineer - Remote

Houston, TX · On-site +1

If you don't know us yet, we are an engineering and technological innovation company working on ... Algorithm development * Fluent in English (C1 or higher) * ... WHAT DO WE OFFER? * Join our team ...

DataAnnotation

Programmer - AI Trainer

Houston, TX · On-site +1

$50 - $100/hr

Contribute to developing cutting-edge AI systems, while enjoying the flexibility of remote work and ... Experience with algorithms, data structures, and debugging workflows * A current, in progress, or ...

DataAnnotation

Software Developer - AI Trainer

Houston, TX · On-site +1

$50 - $100/hr

Contribute to developing cutting-edge AI systems, while enjoying the flexibility of remote work and ... Experience with algorithms, data structures, and debugging workflows * A current, in progress, or ...

Insolation Technology Ltd

Data Analyst

Houston, TX · On-site +1

$21 - $26/hr

Work closely with engineering teams, project managers, and other departments to understand their ... Knowledge of machine learning algorithms and data mining techniques. * Familiarity with project ...

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Showing results 21-40

All JobsAlgorithms Engineer JobsRemote Algorithms Engineer JobsRemote Algorithms Engineer Jobs in Houston, TX

Remote Algorithms Engineer information

See Houston, TX salary details

$56.8K

$106.6K

$193.9K

How much do remote algorithms engineer jobs pay per year?

As of Sep 10, 2026, the average yearly pay for remote algorithms engineer in Houston, TX is $106,605.00, according to ZipRecruiter salary data. Most workers in this role earn between $76,900.00 and $126,500.00 per year, depending on experience, location, and employer.

What is a remote algorithms engineer?

A Remote Algorithms Engineer designs, analyzes, and optimizes algorithms to solve complex computational problems while working remotely. They develop efficient solutions for data processing, machine learning, optimization, and other technical challenges. This role typically involves implementing algorithms in programming languages like Python, C++, or Java, optimizing performance, and collaborating with distributed teams. Remote engineers use tools like version control systems, cloud computing, and communication platforms to stay connected. Strong problem-solving skills, mathematical knowledge, and coding expertise are essential for success in this role.

What are the typical daily responsibilities of a remote algorithms engineer?

As a Remote Algorithms Engineer, your typical day will involve designing, implementing, and testing algorithms to solve complex technical problems, often as part of cross-functional projects. You will frequently analyze data, optimize existing code, and collaborate with engineers, data scientists, or product managers through virtual meetings and code reviews. Documenting your work and communicating progress in a clear, organized way is crucial in remote settings to ensure alignment with team goals. Additionally, staying updated on new algorithmic techniques and continuously improving your skills can help drive innovation and personal growth in this role.

What are the key skills and qualifications needed to thrive as a remote algorithms engineer?

To thrive as a Remote Algorithms Engineer, a strong background in computer science, mathematics, and algorithm design—often demonstrated by a relevant degree or experience—is essential. Familiarity with programming languages like Python, C++, or Java, and tools such as Git, as well as knowledge in areas such as machine learning libraries or optimization frameworks, are typically required. Excellent problem-solving abilities, self-motivation, and strong written communication skills help remote engineers collaborate effectively across distributed teams. These skills ensure efficient development, collaboration, and deployment of robust algorithmic solutions in a remote work environment.

What are popular job titles related to Remote Algorithms Engineer jobs in Houston, TX?

For Remote Algorithms Engineer jobs in Houston, TX, the most frequently searched job titles are:

What job categories do people searching Remote Algorithms Engineer jobs in Houston, TX look for?

The top searched job categories for Remote Algorithms Engineer jobs in Houston, TX are:

What cities near Houston, TX are hiring for Remote Algorithms Engineer jobs?

Cities near Houston, TX with the most Remote Algorithms Engineer job openings:

Remote Algorithms Engineer jobs near you
Infographic showing various Remote Algorithms Engineer job openings in Houston, TX as of September 2026, with employment types broken down into 1% Internship, 89% Full Time, 6% Part Time, and 4% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $106,605 per year, or $51.3 per hour.

Data Scientist - Remote

Houston, TX • On-site, Remote

NAVA Software Solutions
IT Services • 51 - 200 employees
Learn more about NAVA Software Solutionsexternal

Full-time

This job post has expired today. Applications are no longer accepted.

Key responsibilities

  • Develop machine learning models to run forecast scenarios.

  • Analyze data related to physical pipelines, including performance metrics and sensor data.

  • Create visualizations, reports, and dashboards to communicate findings and recommendations.

Job description

NAVA Software solutions is looking for a Data Scientist
Details:
Data Scientist
Location: Houston TX - Remote is ok
Duration: 12 months
Clients want a data scientist who can develop machine learning models to run forecast scenarios. Also, they want this person to be knowledgeable in AWS Cloud technology
A Data Scientist with physical pipeline experience typically specializes in analyzing and optimizing physical infrastructure pipelines, such as those used in the oil and gas industry or transportation networks. Here are some common job duties associated with this role:
  • Data collection and integration: Data scientists with physical pipeline experience gather data from various sources related to the infrastructure pipelines, such as sensors, SCADA (Supervisory Control and Data Acquisition) systems, or IoT devices. They integrate and consolidate the data for analysis and modeling.
  • Pipeline performance analysis: These professionals analyze the performance of physical pipelines by examining data related to flow rates, pressure levels, temperature, corrosion, and other relevant factors. They use statistical techniques and machine learning algorithms to identify patterns, anomalies, and potential issues that may affect pipeline operations.
  • Predictive modeling and maintenance optimization: Data scientists develop predictive models to forecast pipeline performance and detect potential failures or maintenance needs. They utilize historical data, sensor measurements, and other relevant parameters to train models that can predict future events, such as leaks, blockages, or equipment failures. By identifying critical maintenance requirements in advance, they can optimize maintenance schedules and minimize downtime.
  • Risk assessment and mitigation: Data scientists assess risks associated with physical pipelines, such as environmental hazards, security threats, or regulatory compliance. They develop risk assessment models and analyze the impact of different factors on pipeline safety and integrity. Based on these analyses, they propose mitigation strategies to minimize risks and ensure compliance with safety regulations.
  • Optimization of pipeline operations: Data scientists work on optimizing the operational efficiency of physical pipelines. They analyze data to identify areas of improvement, such as reducing energy consumption, optimizing transportation routes, or improving overall system performance. By applying data-driven approaches and algorithms, they provide recommendations to optimize pipeline operations and maximize efficiency.
  • Visualization and reporting: Data scientists with physical pipeline experience create visualizations, reports, and dashboards to communicate their findings and recommendations effectively. They present complex data in a visually understandable format, allowing stakeholders to make informed decisions regarding pipeline maintenance, operations, and risk management.
  • Collaboration with cross-functional teams: These professionals collaborate with engineers, domain experts, operations personnel, and other stakeholders involved in managing physical pipelines. They work together to understand the specific requirements, constraints, and challenges associated with the infrastructure. Effective communication and teamwork are essential to ensure alignment and successful implementation of data-driven solutions.
  • Continuous improvement and innovation: Data scientists keep up with the latest advancements in data science, machine learning, and pipeline technologies. They explore new methodologies, algorithms, and tools to enhance their skills and propose innovative solutions to address pipeline-related challenges.
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About NAVA Software Solutions

Sourced by ZipRecruiter

NAVA is a strategic partner for companies seeking to develop or customize software and products. Our team of experts leverages cutting-edge technology and deep industry knowledge to provide customized solutions that drive business success. Whether you're looking to improve your operations, increase efficiency, or bring a new product to market, NAVA has the expertise and resources to help you achieve your goals. Trust us to be your partner in software and product development.

Industry

It services

Company size

51 - 200 Employees

Headquarters location

Rocky Hill, CT, US

Social media

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