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Remote Senior Machine Learning Engineer Jobs in DeSoto, TX

Vogo

Senior Backend Engineer

Dallas, TX · On-site +1

From downtown hotels and luxury resorts to private vacation rentals and remote cabins, Vogo offers ... Experience building and deploying machine learning models using Vertex AI or similar platforms (e.g ...

Gigapower

Data Engineer

Dallas, TX · Remote

$117K - $140K/yr

Virtual (Remote) Who We Are Gigapower is building next-generation fiber broadband infrastructure ... machine learning applications. · Establish and maintain standards for data quality, governance ...

New

Gigapower

Data Engineer

Dallas, TX · On-site +1

$113K - $136K/yr

Virtual (Remote) Who We Are Gigapower is building next-generation fiber broadband infrastructure ... and machine learning applications. • Establish and maintain standards for data quality ...

New

YO AI Labs

AI Data Science Expert - Remote

Dallas, TX · Remote

$100 - $200/hr

Prompt Engineering * AI Output Evaluation * Quality Assurance * Technical Documentation * Technical ... Science, Machine Learning, Applied AI, Statistics, Quantitative Analytics, or Data Analytics.

New

Braviant Holdings

Senior Data Scientist (Credit Risk)

Dallas, TX · On-site +1

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... machine learning to transform how people access credit online. Our next-generation approach to ... You will partner closely with Credit, Fraud, Servicing, Product, and Engineering to translate data ...

Select Minds LLC

Sr Data Scientist GenAI

Dallas, TX · On-site +1

$150K - $210K/yr

... Engineers, MLOps, software engineering, product, compliance, legal etc., to move models from ... Machine Learning or related field. - Experience with multimodal models (vision + text) or emerging ...

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All JobsMachine Learning Engineer JobsRemote Senior Machine Learning Engineer JobsRemote Senior Machine Learning Engineer Jobs in DeSoto, TX

Remote Senior Machine Learning Engineer information

See DeSoto, TX salary details

$73.9K

$140.2K

$187.9K

How much do remote senior machine learning engineer jobs pay per year?

As of Aug 14, 2026, the average yearly pay for remote senior machine learning engineer in DeSoto, TX is $140,234.00, according to ZipRecruiter salary data. Most workers in this role earn between $119,900.00 and $158,100.00 per year, depending on experience, location, and employer.

How do remote senior machine learning engineers typically collaborate with cross-functional teams despite working remotely?

Remote Senior Machine Learning Engineers often work closely with data scientists, product managers, and software engineers using digital collaboration tools such as Slack, Jira, and video conferencing platforms. Regular virtual meetings and code reviews are standard practices to ensure alignment on project goals and to facilitate knowledge sharing. Clear communication, proactive documentation, and adaptability to different time zones are key to effective teamwork in a remote environment. This structure allows for flexibility while maintaining strong collaboration and project momentum.

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

AspectRemote Senior Machine Learning EngineerRemote Data Scientist
Required CredentialsBachelor's/Master's in CS, ML, or related; experience with ML frameworksBachelor's/Master's in Statistics, Data Science, or related; strong analytical skills
Work EnvironmentDevelops and deploys ML models, collaborates with engineering teamsAnalyzes data, builds statistical models, provides insights
Employer & Industry UsageTech companies, startups, AI-focused firmsResearch institutions, tech companies, finance, healthcare

Remote Senior Machine Learning Engineers focus on designing, building, and deploying ML models, often working closely with engineering teams. Data Scientists analyze data and develop insights, but may not always deploy models. Both roles require strong technical skills and are highly sought after in tech industries, but their core responsibilities differ.

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

To thrive as a Remote Senior Machine Learning Engineer, you need deep expertise in machine learning algorithms, statistical analysis, and strong programming skills (often in Python or similar languages), typically supported by a degree in computer science or a related field. Familiarity with tools such as TensorFlow, PyTorch, cloud platforms (AWS, GCP, or Azure), and experience with data engineering pipelines are commonly required, along with certifications like TensorFlow Developer or AWS Machine Learning Specialty. Excellent problem-solving, communication, and self-management skills help you collaborate remotely, lead projects, and explain complex models to stakeholders. These skills and qualities are vital for building scalable ML solutions, ensuring effective teamwork across distributed environments, and delivering impactful results.

What does a remote senior machine learning engineer do?

A Remote Senior Machine Learning Engineer designs, develops, and deploys machine learning models and systems while working from a location outside the traditional office. They collaborate with cross-functional teams, analyze large datasets, build scalable algorithms, and often mentor junior engineers. Their work helps organizations automate processes, gain insights, and improve products or services using data-driven approaches. Senior engineers are also responsible for ensuring model performance, reliability, and integration into production environments. Working remotely, they use various communication and collaboration tools to stay connected with their team.

What job categories do people searching Remote Senior Machine Learning Engineer jobs in DeSoto, TX look for?

The top searched job categories for Remote Senior Machine Learning Engineer jobs in DeSoto, TX are:

What cities near DeSoto, TX are hiring for Remote Senior Machine Learning Engineer jobs?

Cities near DeSoto, TX with the most Remote Senior Machine Learning Engineer job openings:

Remote Senior Machine Learning Engineer jobs near you
Infographic showing various Remote Senior Machine Learning Engineer job openings in DeSoto, TX as of August 2026, with employment types broken down into 1% As Needed, 70% Full Time, 24% Part Time, 1% Temporary, 3% Contract, and 1% Nights. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $140,234 per year, or $67.4 per hour.

Senior Backend Engineer

Vogo

Dallas, TX • On-site, Remote

Full-time

Re-posted yesterday

Job description

About Vogo
Vogo is a global travel platform that brings all types of accommodations into one place, making it easy for travelers to find the perfect stay.
 
From downtown hotels and luxury resorts to private vacation rentals and remote cabins, Vogo offers the widest selection of accommodations worldwide. Vogo's proprietary technology then scans billions of data points to surface the best deals across millions of properties, streamlining discovery, and booking for every traveler.
 
Since launching out of Wilbur Labs in 2018, Vogo has rapidly become one of the most trusted travel platforms globally, surpassing $1 billion in gross bookings in just two years. Vogo is headquartered in Dallas and led by a team of travel industry veterans.
 
About this Role
Vogo is seeking a versatile, highly skilled Senior Backend Engineer to join our engineering organization. In this role, you’ll help ensure high performance, reliability, and scalability, and contribute to the architecture and direction of our systems. Our backend systems are the backbone of the traveler experience, and this role plays a critical part in scaling our platform to support millions of users and high-volume transactions.

The ideal candidate will own key backend initiatives and help shape engineering culture, collaborating closely with product, engineering, and leadership to build the services and APIs that power our platform.
 
This role will report directly to the Head of Engineering. This is a full-time hybrid position, based in Dallas.
Role & Responsibilities:
  • Design, architect, and implement robust APIs and services using Node.js, PostgreSQL, and Redis
  • Optimize complex SQL queries and schemas to ensure lightning-fast performance across large datasets
  • Leverage AI coding tools (Claude, GitHub Copilot, Cursor, etc.) as a core part of your development workflow, and contribute to integrating AI/LLM-powered features into our platform
  • Tackle high-scale engineering challenges to ensure reliability and efficiency under heavy traffic
  • Collaborate cross-functionally with product, engineering, and leadership teams on backend features
  • Proactively identify and resolve technical debt; lead refactoring projects to future-proof our stack
  • Participate in team standups, code reviews, and deployment processes
  • Mentor and support other engineers, helping to elevate team-wide technical excellence
  • Take ownership of projects and drive initiatives from concept to production
  • Help lead releases and share ownership of release readiness alongside other senior engineers
  • Mentor and support engineers across the team while helping establish and maintain technical standards and best practices
  • Act as a technical point of contact for your area, proactively flagging risks and pushing back on scope when something doesn't fit our stack
Minimum Qualifications:
  • 8+ years of backend software engineering experience
  • Strong experience with Node.js and PostgreSQL (or equivalent relational databases)
  • Strong SQL skills - able to write, debug, and optimize complex queries on large datasets
  • Demonstrated AI fluency — actively uses AI tools in day-to-day engineering work
  • Experience working on high-volume, consumer-facing platforms
  • Solid understanding of backend architecture, distributed systems, and scalability principles
  • Experience with DevOps practices and cloud infrastructure (preferably Google Cloud or AWS), including CI/CD, monitoring, and infrastructure as code
  • Entrepreneurial mindset with a self-driven, ownership mentality
  • Excellent collaboration and communication skills
Preferred Qualifications & Prior Experience:
  • Experience in the travel, marketplace, or e-commerce space 
  • Experience scaling systems to millions of daily users
  • Experience building and deploying machine learning models using Vertex AI or similar platforms (e.g., SageMaker, Azure ML)
  • Experience with React and Next.js
  • Contributions to open-source projects or tech communities
Benefits & Perks:
  • Competitive salary + equity
  • Top-tier laptop provided100% company-paid health benefits for base plan coverage, with the option to upgrade to higher-tier plans
  • 401(k) with company match
  • Unlimited, guilt-free vacation days
  • Annual wellness stipend (gym + other wellness activities)
  • Monthly house cleaning stipend
  • Annual travel allowance
  • Monthly cell phone & internet usage stipend
  • Charity donation company match
  • Employee referral bonus
  • Team offsites/activities

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. 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.