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Remote Machine Learning Engineer Jobs in Round Rock, TX

Drilling Info

Staff Software Engineer - 26218

Austin, TX · On-site +1

  • Medical

  • Dental

  • Vision

  • Retirement

Our platform combines distributed systems, machine learning, complex power flow analysis and ... Engineers on this team own systems end-to-end, including architecture, implementation ...

Victory

Data Scientist

Austin, TX · On-site +1

Create predictive models and machine-learning algorithms * Modify and combine different models ... Work together with engineering and product development teams Data Scientist requirements are: * 3+ ...

Victory

Data Scientist

Austin, TX · On-site +1

Create predictive models and machine-learning algorithms * Modify and combine different models ... Work together with engineering and product development teams Data Scientist requirements are: * 3+ ...

HEB

Senior Software Engineer-Engineering Enablement

Austin, TX · On-site +1

$121K - $160K/yr

Databases & Cloud Infrastructure (Private & Public) Machine Learning & AI Platform Enablement We're looking for experienced Senior Software Engineers who operate as technical leaders , capable of ...

HEB

Senior Software Engineer-Engineering Enablement

Austin, TX · On-site +1

$121K - $160K/yr

Databases & Cloud Infrastructure (Private & Public) Machine Learning & AI Platform Enablement We're looking for experienced Senior Software Engineers who operate as technical leaders , capable of ...

Rokt

Senior Software Engineer

Austin, TX · Remote

$335K - $400K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

The Rokt Ecommerce Network leverages proprietary machine learning recommendation systems, powering ... Willingness to work 4 day in-office, 1 day remote weekly schedule. + Experience relevant to one or ...

Rokt

Senior Software Engineer

Austin, TX · Remote

$335K - $400K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

The Rokt Ecommerce Network leverages proprietary machine learning recommendation systems, powering ... Willingness to work 4 day in-office, 1 day remote weekly schedule. + Experience relevant to one or ...

Rokt

Staff Software Engineer

Austin, TX · On-site +1

$470K - $615K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

The Rokt ecommerce Network leverages proprietary machine learning recommendation systems, powering ... Hybrid work structure Rokt has a 4 day in-office, 1 day remote hybrid structure, with a flexible ...

Rokt

Staff Software Engineer

Austin, TX · On-site +1

$470K - $615K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

The Rokt ecommerce Network leverages proprietary machine learning recommendation systems, powering ... Hybrid work structure Rokt has a 4 day in-office, 1 day remote hybrid structure, with a flexible ...

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Showing results 41-60

All JobsMachine Learning Engineer JobsRemote Machine Learning Engineer JobsRemote Machine Learning Engineer Jobs in Round Rock, TX

Remote Machine Learning Engineer information

See Round Rock, TX salary details

$29.4K

$120.1K

$180.4K

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

As of Aug 16, 2026, the average yearly pay for remote machine learning engineer in Round Rock, TX is $120,082.00, according to ZipRecruiter salary data. Most workers in this role earn between $94,700.00 and $144,500.00 per year, depending on experience, location, and employer.

What is a remote machine learning engineer?

A Remote Machine Learning Engineer designs, develops, and deploys machine learning models while working from a remote location. They preprocess data, train and optimize models, and integrate them into production systems. Their role often involves collaborating with data scientists, software engineers, and stakeholders to solve complex problems using AI. Strong programming skills in Python, experience with ML frameworks like TensorFlow or PyTorch, and cloud computing knowledge are essential. Remote ML engineers must also communicate effectively and manage their time efficiently to work asynchronously with teams.

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

To thrive as a Remote Machine Learning Engineer, you need a strong background in computer science, mathematics, and experience with machine learning algorithms, typically supported by a relevant degree and prior project work. Proficiency with programming languages like Python, machine learning frameworks such as TensorFlow or PyTorch, and familiarity with cloud computing platforms is crucial, and certifications like AWS Certified Machine Learning can enhance your profile. Excellent communication, self-motivation, and time-management skills are also essential for collaborating across remote teams and meeting project goals. These combined technical and soft skills are vital for developing effective machine learning solutions while ensuring productivity and collaboration in a virtual work environment.

What are some typical challenges faced by remote machine learning engineers, and how are they addressed?

Remote Machine Learning Engineers often face challenges such as coordinating across different time zones, ensuring smooth communication with team members, and accessing large datasets or secure environments remotely. Organizations commonly address these by using robust collaboration tools (like Slack, GitHub, and Jira), establishing clear documentation, and setting regular virtual meetings to maintain alignment. Many companies also provide secure remote environments or VPN access for handling sensitive data and code. Proactive communication and organized workflows help mitigate these challenges, enabling engineers to remain productive and connected to their teams.

What are the most commonly searched types of Machine Learning Engineer jobs in Round Rock, TX?

The most popular types of Machine Learning Engineer jobs in Round Rock, TX are:

What are popular job titles related to Remote Machine Learning Engineer jobs in Round Rock, TX?

For Remote Machine Learning Engineer jobs in Round Rock, TX, the most frequently searched job titles are:

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

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

What cities near Round Rock, TX are hiring for Remote Machine Learning Engineer jobs?

Cities near Round Rock, TX with the most Remote Machine Learning Engineer job openings:

Remote Machine Learning Engineer jobs near you
Infographic showing various Remote Machine Learning Engineer job openings in Round Rock, TX as of August 2026, with employment types broken down into 91% Full Time, and 9% Contract. Highlights an 100% Remote job distribution, with an average salary of $120,082 per year, or $57.7 per hour.

Staff Software Engineer - 26218

Drilling Info

Austin, TX • On-site, Remote

Full-time

Medical, Dental, Vision, Retirement

Re-posted 22 days ago

Job description

Description

Backend Platform Engineer (Staff / Principal Level)

Why YOU want this position

At Enverus, we're committed to empowering the global quality of life by helping our customers make energy affordable and accessible to the world.
 
We are the most trusted energy-dedicated SaaS company, with a platform built to maximize value from generative AI, and our innovative solutions are reshaping the way energy is consumed and managed. By offering anytime, anywhere access to analytics and insights, we're helping our customers make better decisions that help provide communities around the world with clean, affordable energy.
The energy industry is changing fast. But we've continued to lead the way in energy technology, creating intelligent connections across the entire energy ecosystem, from renewables, power and utilities to oil and gas and financial institutions. Our solutions create more efficient production and distribution, capital allocation, renewable energy development, investment and sourcing, and help reduce costs by automating crucial business operations. Of course, this wouldn't be possible without our people, which is why we have built a team of individuals from a diverse range of backgrounds.
Are you ready to help power the global quality of life? Join Enverus, and be a part of creating a brighter, more sustainable tomorrow.

As part of the Power & Energy Transition business unit, you'll work on systems that support congestion analysis, forecasting, and grid optimization for renewable energy markets. Our platform combines distributed systems, machine learning, complex power flow analysis and optimization models with high-throughput data processing to deliver critical insights in real time.

We're looking for engineers who enjoy solving difficult infrastructure and platform problems while collaborating closely with product, data science, and domain experts. 

The Team: 

As part of the Marginal Unit Team, you will be a key contributor to the fastest growing product line at Enverus. We pair complex algorithms and machine learning with powerful computational infrastructure and an intuitive UI that is unmatched in the industry. Small, fast paced, and highly collaborative, this team values engineers who enjoy tackling difficult technical and domain problems while continuously learning from one another.

Engineers on this team own systems end-to-end, including architecture, implementation, observability, reliability, and operational support.

What You'll Do: 

  • Integrate AI-powered infrastructure and capabilities into our products

  • Design and maintain high-throughput data ingestion and processing pipelines

  • Build and support complex computing algorithms and infrastructures

  • Take ownership of existing systems and services, redesigning them as necessary to reduce complexity or leverage new technologie

  • Lead architectural initiatives and influence engineering standards across team

Challenges You'll Face:

  • Highly complex domain (the power grid itself, and the markets that sit on top of it)

  • Continuously evolving solution stack on the frontier of AI development

  • Stability and observability of a distributed system involving dozens of semi-independent services

  • Maintaining performance while working with complex computations on large-scale real-time data

What you'll have:

  • BS in Computer Science, or equivalent experience

  • Significant experience working with data rich applications and pipelines

  • Experience learning and working in a highly complex domain (financial trading or power systems is a plus)

  • Proven success in delivering highly reliable and scalable software systems

  • Experience working within and optimizing systems that perform expensive computations

  • Experience building backend applications using Python, Go or Rust

  • Experience using Kafka, SQL and no-SQL databases

  • Familiarity with Kubernetes on GCP or AWS

Our Technology Stack:

  • Python, Go, Rust

  • MySQL, ClickHouse

  • Kubernetes, Docker, AWS, Argo

  • Grafana, Sentry, Honeycomb

  • Terraform, Pulumi

  • Claude, AWS Bedrock, Langchain, AgentCore

What We Offer  

  • Fast paced environment with a strong team and interesting products

  • Competitive Compensation Package 

  • Medical, Dental, and Vision Plan 

  • Retirement Savings Plan 401(k)

Note

Scope and expectations will be calibrated based on experience level. Principal-level candidates are expected to drive technical strategy across multiple teams and influence architecture at organizational scale.

Apply